Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Cloud accounting adoption in Thai SMEs amid the COVID-19 pandemic: an explanatory case study

Cloud accounting adoption in Thai SMEs amid the COVID-19 pandemic: an explanatory case study dalinee.s@gmail.com 1 The COVID-19 pandemic has altered the way small and medium-sized businesses Technopreneurship and Innovation Management (SMEs) function. To maintain business efficiency and reduce operating costs in the con- Program, Graduate School, text of the constraints imposed by the pandemic, SMEs have been forced to embrace Chulalongkorn University, new digital technologies. Cloud accounting is becoming an increasingly important Bangkok, Thailand Chulalongkorn Business School, business operating tool for SMEs. By adopting cloud-based accounting, SMEs can Chulalongkorn University, become more efficient, financially organized, and flexible. This study aims to investigate Bangkok, Thailand 3 the factors that have a pervasive influence on cloud accounting adoption among SMEs Faculty of Commerce and Management, Prince in Thailand, following the pandemic’s effects. This study integrates three technology of Songkla University, Hat Yai, adoption theories—the Technology–Organization–Environment framework, Diffu- Thailand sion of Innovation theory, and Institutional Theory—and studies them alongside SMEs’ unique characteristics. The research employs a qualitative case study method and triangulated sources of evidence. The findings provide important implications for the research community, policymakers, cloud accounting vendors, and SME owners aiming to formulate better approaches to cloud accounting adoption after the pandemic. The results suggest that vendors should focus on SMEs’ particular characteristics and needs. By contrast, SMEs should determine the organizational fit of the cloud accounting plat - form and integrate cloud accounting with other aspects of their operations. Keywords: Cloud accounting, Technology adoption, SMEs, Technology–organization– environment framework, Diffusion of innovation theory, Institutional theory Introduction Small- and medium-sized enterprises (SMEs) are commonly considered able to drive a country’s economic growth, competitiveness, and innovation (Halabí & Lussier, 2014; Pitchayadol et al., 2018). In most countries, SMEs account for approximately 90% of all private sector businesses, over 50% of private sector employment, and up to 40% of pri- vate sector turnover (World Bank, 2019). In early 2020, the COVID-19 outbreak caused major disruption to all aspects of society and it is likely to have a long-term impact on SMEs’ operation. Some SMEs, especially in the tourism, trade, education, transporta- tion, and health sectors, have been dealing with faltering revenue and a changing busi- ness landscape (Albulescu, 2020). In Thailand, the second country after China to be © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the mate- rial. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/. Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 2 of 25 affected by COVID-19, lockdown enforcement and physical distancing has had an unprecedented and severe impact on all aspects of how SMEs work, produce, trade, and communicate. Under these restrictions, SMEs are more vulnerable than large and global enterprises (Kumar & Ayedee, 2021; Papadopoulos et al., 2020). One reason for this is that they typi- cally lag in the adoption of digital technologies, which can help build resilience in the current and post-COVID-19 business environment (Fitriasari, 2020; Organization for Economic Cooperation & Development, 2021). In Japan, for instance, there was a gap in the prevalence of teleworking between larger corporations (48%) and SMEs (10–20%) even as companies sought to deal with the crisis. Nevertheless, recent surveys show that the pandemic has dramatically increased the use of digital technologies by SMEs to ensure business continuity and societal resilience, although considerable differences exist across countries. For instance, 70% of SMEs in the Asia Pacific are accelerating their digitalization, such as through cloud computing, in response to COVID-19, whereas lower-middle-income countries in other regions show 10 times lower technology usage during COVID-19 due to lower Internet penetration rates and high affordability barriers (Idc-Cisco, 2020; Strusani & Houngbonon, 2020). According to UNIDO (2020), a recent survey indicated that among all firms in Thailand, SMEs—especially low-tech firms— have suffered most from extreme revenue loss and movement restrictions, and have least access to government support. Since finance forms the backbone of SMEs, there is an increased need across verticals for a new type of accounting—one that is more timely, automated, and provides remote access and intelligent analysis. In the post-COVID-19 world, cloud accounting can help SMEs by providing an online platform that includes real-time financial, inventory, work - flow, and sales and expense data at affordable rates (Winarsih et  al., 2021). However, awareness regarding and usage of cloud accounting in Thailand is still limited. Moreover, there is a gap in the current knowledge, particularly from evidence-based studies, on the use of cloud-based technology in response to disruptive events, such as COVID-19 (Papadopoulos et al., 2020). Therefore, in this paper, we explore cloud accounting adoption in response to COV - ID-19’s destructive challenges, using SMEs in Thailand as a case study. The key research questions that this study aims to answer are: [i] Why do SMEs adopt cloud accounting? [ii] How do SMEs start adopting cloud accounting? and [iii] What are the factors driving SMEs’ adoption of cloud accounting? By integrating relevant theoretical and conceptual underpinnings, this explanatory case study deepens academic and practical insight into the cloud accounting adoption process in SMEs, in response to the impact of COVID-19. Literature review SMEs and COVID‑19 The definition of SMEs still varies across countries and industries, and is usually based on quantitative criteria, such as the number of employees, capital, assets, and annual rev- enue (Harvie & Lee, 2002; Pitchayadol et al., 2018). For instance, Jordanian law defines SMEs as firms with less than 100 full-time employees (Dmour et al., 2016). By contrast, Thai SMEs were recently redefined as enterprises with no more than 200 employees and annual revenue of up to 500 million THB based on their sector, as shown in Table 1. S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 3 of 25 Table 1 Classification of enterprise size in Thailand Type Manufacturing Trading and service No. of employees Annual revenue (THB) No. of employees Annual revenue (THB) Micro 1–5 < 1.8 mil 1–5 < 1.8 mil Small 6–50 > 1.8 mil–100 mil 6–30 > 1.8 mil–5 mil Medium 50–200 > 100 mil–500 mil 31–100 > 50 mil–300 mil Source: The Office of SMEs Promotion (2020) Although no universally accepted definition of SMEs exists, some common charac - teristics include small size, limited resources, a simple business structure, and owner dependence (Berisha & Pula, 2015; Lopez-Nicolas & Soto-Acosta, 2010). Most SMEs are owned by a single person and thus, most decision-making—including that concern- ing investment and liability—is vested in the sole owner as their lifelong duty (Loecher, 2000; Oni & Papazafeiropoulou, 2014). Before the COVID-19 pandemic, the information technology (IT) adoption rate of SMEs was traditionally low, and the failure rate high (Mole et  al., 2004; Nguyen et  al., 2015). Multiple studies reveal that SMEs’ IT adoption is inhibited by internal barriers, such as the owner‐manager’s characteristics, users’ resistance to change, limited techno- logical resources, and business size, as well as external factors, such as legal, regulatory, social, cultural, and economic barriers (Chouki et  al., 2020; Zaied, 2012). In addition, lack of IT planning and absence of IT knowledge are among the leading causes of SMEs’ failure (Bull, 2003; Levy et al., 2001; Puriwat & Hoonsopon, 2021). Due to the COVID-19 crisis, SMEs are facing new challenges, including severe rev- enue loss, a sharp decrease in labor supply, mandatory telework, and rapid movement to digital sales and e-payment (International Trade Center, 2020). The COVID-19 outbreak has made the SME owner‐manager more aware of the need for IT adoption. The shift in SMEs’ IT adoption priorities, as observed in the literature, are summarized in Table 2. Cloud accounting adoption Accounting plays a vital role in the success or failure of businesses of all sizes; thus, accounting software was developed to help businesses stay financially organized (Marand et al., 2013). Traditionally, accounting software is purchased as a product and installed locally on an individual user’s desktop computer (Dimitriu & Matei, 2015). Cloud accounting, in contrast, provides on-demand accounting services with anytime access to multiple users from anywhere, through the vendor’s Internet-based applica- tions (Christauskas & Miseviciene, 2012). In recent years, cloud computing, together with artificial intelligence (AI), big data analytics, and blockchain, have dramatically transformed the entire accounting process and business environment (Ionescu, 2019; Wattana Viriyasitavat & Hoonsopon, 2019; Viriyasitavat et al., 2019; Yoon, 2020). Cloud accounting is also known as “online accounting,” “web accounting,” “e-account- ing,” “virtual accounting system,” “real-time accounting,” or “cloud accounting software” (Christauskas & Miseviciene, 2012; Đorđević et al., 2018; Ionescu, 2019). Cloud account- ing differs from traditional accounting in multiple areas, such as the software license type (rent vs buy), system location (cloud vs user’s site), and maintenance and support Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 4 of 25 Table 2 Evidence in support of SMEs’ IT adoption during COVID-19 Authors Technology topic Evidence Kumar and Ayedee (2021) Technology 4.0, e.g., social media, The adoption of technology 4.0. can e-commerce, and cloud help identify customer demands, increase sales and turnover, maintain physical distance, and increase automation Fitriasari (2020) Digital transformation SMEs’ business resilience is aided by digital transformation, which occurs when new digital skills develop, and digital tools are embraced Papadopoulos et al. (2020) Digital technologies, e.g., mobile, In response to COVID-19, digital collaborative technologies, big data technology should be exploited for analytics, IoT, AI, and blockchain securing business continuity for SMEs during intense disruptions and global community shocks Strusani and Houngbonon (2020) Cloud, big data analytics, AI, robotics, Digitalization of business processes, IoT, blockchain, drones, 3D printing, with increased use of automation, genomics, and distributed power digital financial services, remote-con- systems, favored by 5G trol systems, and additive manufactur- ing are critical in the COVID-19 era fees (included in package vs requiring extra purchase). Cloud accounting has emerged with the convergence of the basic principles of cloud computing and the activities of the accounting information system (Khanom, 2017). Its key functions consist of collecting and storing financial activities, transforming data into valuable information for decision makers, and controlling the reliability of information (Christauskas & Miseviciene, 2012; Romney et al., 2012). However, few studies have investigated cloud accounting adoption from the SME busi- ness perspective. Most research on cloud computing has been experimental in nature, focused more on technical issues, and have not applied relevant theory (Senyo et  al., 2018). Moreover, few studies have been undertaken in emerging markets (Kim et  al., 2017). In addition, the COVID-19 pandemic has permanently changed consumer behav- iors and the business landscape, and therefore, it is important to investigate the attitude of SMEs toward cloud accounting adoption, as it could play a critical role in the success or failure of SMEs. Technology‐organization‐environment (TOE) framework The technology–organization–environment (TOE) framework, formulated by Tor - natzky et  al. (1990) identifies three facets that affect a firm’s information technology/ information systems (IT/IS) adoption: technological, organizational, and environmen- tal. The technological context is the pool of internal and external technologies that are useful to the firm. Rogers’ (2010) five perceived characteristics of innovation, namely, relative advantage, complexity, observability, compatibility, and trialability are consid- ered part of this context (Van de Weerd et  al., 2016). The organizational context refers to key resources and the nature of the business, such as scope, size, firm structure, and employee culture (Rahayu & Day, 2015). The environmental context involves pressures and supports that exist in the business field, such as customers, competitors, the mar - ket, business partners, regulators, and infrastructure. In the SME context, TOE offers a S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 5 of 25 holistic framework supported by theory-consistent empirical evidence, though the con- tributory factors identified within the three contexts may vary depending on the study (Awa & Ukoha, 2017). Nevertheless, TOE neglects the influence of social factors, such as friends, family, staff, and inter-organizational and individual factors, such as top man - agement support and decision-maker-related attributes, which are essential in the SME context (Alkhalil et al., 2017; Parker & Castleman, 2009). Various studies have used TOE to explain IT/IS adoption in SMEs (Eze et al., 2019; Ramayah et al., 2016) as well as cloud computing adoption (Kim et al., 2017; Senyo et al., 2018). Diffusion of innovation (DOI) The Diffusion of Innovation (DOI) framework, presented by Rogers (2010), serves as a theoretical foundation for IT/IS adoption studies at both individual and firm levels across various contexts (Salahshour Rad et  al., 2018). DOI emphasizes two influential factors—innovation attributes and firm innovativeness. Innovation attributes such as relative advantage, compatibility, complexity, trialability, and observability are important in explaining the rate of individuals’ adoption. Innovativeness is related to independent variables, such as leader characteristics, firms’ internal structure, and external features (Hoonsopon & Puriwat, 2019, 2021). Similarly, the technology context of TOE is often linked to the five innovation attributes of DOI. The difference between the two is that TOE incorporates the external environment as having a positive or negative influence on technological adoption, whereas DOI does not consider external factors (Oliveira & Martins, 2010). Multiple studies have used DOI to explain IT/IS adoption in SMEs (Alam et al., 2011; Alshamaila et al., 2013; Oni & Papazafeiropoulou, 2014). Alam et al. (2011) investigate 200 SMEs in Malaysia to determine the significant factors that influence their e-commerce adoption. The authors identify five important aspects in this regard: relative advantage, compatibility, organizational readiness, owner‐manager’s characteristics, and security. However, critics of Roger’s theory argue that the DOI portrays diffusion as a linear process and fails to address important facets, such as institutional concepts (Bey- non-Davies & Williams, 2003; Lyytinen & Damsgaard, 2001). Moreover, unlike those based on TOE, DOI-based analyses ignore environmental factors (Alkhalil et al., 2017). Institutional theory (INT) Institutional theory (INT), proposed by Dimaggio and Powell (1983), argues that insti- tutional environments are critical in shaping organizational structures and actions. INT identifies three types of pressures, namely, coercive—pressure from external stakehold - ers that a firm depends on; normative—pressure from social norms, values, and stand - ards; and mimetic—pressures from demands of superior performance (Kung et  al., 2015). According to Scott and Christensen (1995), institutional pressures erode existing organizational norms and practices. INT can help reinforce the TOE framework’s theo- retical strength and deep understanding of the environmental context and cloud soft- ware-as-a-service (SaaS) adoption (Oliveira et  al., 2019). However, Yigitbasioglu (2015) found that INT has greater relevance in organizational transformation studies and is addressed less by cloud computing adoption scholars. Therefore, in line with Kung et al. (2015) and Martins et al. (2016), it is necessary to incorporate institutional factors when studying cloud-SaaS adoption in SMEs. Implementation of INT complements the use Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 6 of 25 of TOE and DOI by providing a more holistic perspective of the effect of environmental pressures on the adoption of cloud accounting. Integrated theory and extended factors According to Parker and Castleman (2009) and Alkhalil et  al. (2017), one theory can- not explain all types of technology adoption. Thus, many researchers have integrated theories and/or extended factors to enhance our understanding of how a particular technology is accepted and used. A summary of previous literature on cloud comput- ing adoption, accounting information systems (AIS), and digital technologies in SMEs is shown in Table 3. In addition, we present an overview of studies that use technological, organizational, environmental, and vendor- and owner-related factors to explain both SaaS and IT/IS adoption by SMEs in Table  4. This table was created from a literature review based on a Google Scholar search for the strings “SaaS” + “Technology Adoption” and “SMEs” + “Technology Adoption,” limiting the search to SJR Q1/Q2 journals pub- lished during 2015–2019. The data in Tables  3 and 4 indicate that many studies have attempted to integrate the strengths of traditional adoption theories to provide clearer decision-making lenses, for instance, TOE–DOI–INT (Alkhater et al., 2018; Martins et al., 2016), traditional adop- tion theories with vendor factors (Cho & Chan, 2015; Seethamraju, 2015), and tradi- tional adoption theories with owner‐manager factors (Khayer et  al., 2020; Ramayah et  al., 2016; Yigitbasioglu, 2015). In the case of SME studies, the owner–manager is a crucial factor, contributing to the success or failure of adoption. Furthermore, the ven- dor factor is particularly relevant for cloud accounting, which employs a vendor-owned model. Methodology and data collection This study protocol has been approved by the Research Ethics Review Committee for Research Involving Human Subjects on August 7, 2020. Research methodology In this study, we followed an exploratory, qualitative, multiple-case study approach to investigate how technology‐organization‐environment‐vendor‐owner (TOEVO) factors influence cloud accounting adoption in Thai SMEs. We prefer a qualitative over a quanti - tative method for three main reasons. First, cloud accounting is relatively new in the field of business practices and accounting (Rindasu, 2017). Therefore, a qualitative approach based on semi-structured interviews is more appropriate for exploring and understand- ing various aspects related to the concept (Das & Dayal, 2016). Second, a qualitative approach, through the use of interactive conversation and open-ended questions, ena- bles researchers to better understand different informants’ behaviors, experiences, and reasons for adopting cloud accounting (Rahman, 2017). Third, the multiple-case study method allows for in-depth investigation of the current state of cloud accounting in real- world settings (Yin, 2014). With the case study method, we intended to determine why the adoption rate of cloud accounting in Thailand is relatively low, and whether and how TOEVO variables influence the adoption decision, especially following the COVID-19 pandemic. We S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 7 of 25 Table 3 Previous studies on adoption of cloud computing, AIS, and IT in SMEs Study Scope of study Theoretical model used Domain Organization Country Perspective TOE and DOI INT Extended similar factors context Cloud computing adoption (focusing on SaaS) Kim et al. Cloud-SaaS SMEs Korea Owner‐Man- √ √ (2017) agers (Risk and benefit) Martins Cloud-SaaS Firms in vari- Portugal IT √ √ √ et al. (2016) ous industries Safari et al. Cloud-SaaS Firm in IT ser- N/A A group of √ √ (2015) vice industry experts Cho and Cloud-SaaS Firms in vari- Hongkong IT √ √ Chan (2015) ous industries ( Technol- ( Vendor, ogy/ Owner/Man- Organiza- ager) tion) Kung et al. Cloud-SaaS Firms in manu- United IT √ √ (2015) facturing and States retail industries Seetham- Cloud-SaaS SMEs India Owner‐man- √ √ raju (2015) (ERP) agers and ( Technol- ( Vendor) IT vendors ogy/organi- zation Yigitbasio- Cloud in Firms in Australia IT √ √ glu (2015) general manufacturing (Owner/ and service Manager) industries Khayer et al. Cloud in SMEs Bangladesh Owner‐man- √ √ (2020) general agers (Owner‐ Manager) Hiran and Cloud in Education Ethiopia Stakeholders √ √ √ Henten general institution (Socio- (2020) Culture) Alkhater Cloud in Firms in vari- Saudi A group of √ √ √ √ et al. (2018) general ous industries Arabia experts ( Trust, privacy, and physical location) Accounting information system (AIS) adoption Dmour AIS SMEs Jordan Owner‐man- √ et al. (2016) agers Alamin et al. AIS N/A Libya Accountants √ √ (2020) (e.g., Per- formance expectancy, Perceived technology fit) IT adoption in SMEs Ramayah Website SMEs Malaysia Owner‐man- √ √ √ et al. (2016) agers (Owner‐ Manager) R. Rahayu E-Com- SMEs Indonesia Owner‐man- √ √ and Day merce agers (Owner‐ (2015) Manager) Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 8 of 25 Table 3 (continued) Study Scope of study Theoretical model used Domain Organization Country Perspective TOE and DOI INT Extended similar factors context Taiminen Digital SMEs Finland Owner‐man- √ √ and marketing agers (Organiza- (Owner‐ Karjaluoto channels tion/ Manager) (2015) Environ- ment) Al-Bakri and E-Com- SMEs Jordan Owner‐man- √ √ Katsiol- merce agers (Organiza- (Owner‐ oudes tion/ Manager) (2015) Environ- ment conducted semi-structured interviews with SME owners, cloud accounting vendors, and a group of experts (including professional accountants) to gain a business perspective, which is vital but less explored by researchers (Senyo et al., 2018). Case study organization and informants This study uses a triangulation of sources, that is, an examination of the same informa - tion from different data sources (experts, cloud accounting vendors, and SMEs owners) to increase the richness and validity of its findings. Data were gathered from 17 inform - ants who were involved in various SMEs’ decision-making stages, such as research, selection, and adoption of cloud accounting. The informants include six experts, five cloud accounting vendors, and six SME owners. According to Felix and Hunter (2002), a sample size of 15–25 informants is sufficient for qualitative research that is similar to our study. A detailed summary of informants’ profiles is provided in Table 5. The semi-structured interviews were conducted in Thailand from August to Septem - ber 2020, 3 months after the first nationwide lockdown in response to COVID-19 in Thailand. We conducted in-depth interviews with the informants, each of which lasted 45–75 min. The interviews where held either via Zoom video conference or face-to-face while wearing a face mask, depending on the informant’s preference. During the data collection process, we began by asking “What is cloud accounting/cloud computing?” to ensure that all informants were familiar with the concepts of cloud accounting/cloud computing. Based on the literature review, the informants were broadly asked questions about (a) their background/institutions and views on cloud accounting in Thailand; (b) SMEs’ reasons and processes for deciding to select/not select cloud accounting; and (c) factors that led to cloud accounting adoption. With the permission of the informants, the interviews were tape-recorded, fully transcribed, and analyzed based on the quali- tative content analysis approach. Content analysis was chosen due to its suitability for exploratory research (Lune & Berg, 2017). Findings and analysis In this section, we present the significant findings obtained from our semi-structured qualitative interviews. S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 9 of 25 Table 4 Previous studies that use technology, organization, environment, vendor, and owner factors Factors Description Sub–factors Technology ( T ) Pool of internal and external technologies – Relative advantage (Martins et al., 2016; Safari that are useful to the firm et al., 2015; Yang et al., 2015) – Complexity (Kung et al., 2015; Martins et al., 2016; Safari et al., 2015) – Perceived benefit (Cho & Chan, 2015; Kurnia et al., 2015; Seethamraju, 2015) – Experienceability and trialability (Safari et al., 2015; Yang et al., 2015) – Compatibility (Safari et al., 2015; Yang et al., 2015) – Perceived risk (Cho & Chan, 2015) – Cost savings (Martins et al., 2016) – Simplicity (Yang et al., 2015) – Configurability (Seethamraju, 2015) – Observability (Safari et al., 2015) – Security and privacy (Safari et al., 2015) Organization (O) Key resources and nature of business – Top management support (Cho & Chan, 2015; Martins et al., 2016; Van de Weerd et al., 2016; Yang et al., 2015) – Change management ability (Seethamraju, 2015) – Sharing and collaboration culture (Safari et al., 2015) – Organizational readiness ( Van de Weerd et al., 2016) – Perceived organization resources and gov ernance (Kurnia et al., 2015) – Technology competence (Martins et al., 2016) – IT readiness (Seethamraju, 2015) – IT infrastructure (Yang et al., 2015) – IT resource (Safari et al., 2015) – Gap in IT capabilities (Cho & Chan, 2015) – Business software fit (Seethamraju, 2015) – Sales volume of SMEs (Nair et al., 2019) – Business characteristics (Martínez-Román & Romero, 2017) Environment (E) Pressures and supports that exist in the busi- – Competitive pressure (Cho & Chan, 2015; ness field Safari et al., 2015) – Normative pressure (Kung et al., 2015; Mar- tins et al., 2016) – Mimetic pressure (Kung et al., 2015) – Coercive pressures (Martins et al., 2016) – Pressure from customers (Nair et al., 2019) – Competitor pressure (Yang et al., 2015) – Partner pressure (Yang et al., 2015) – Social influence (Safari et al., 2015) – Perceived environmental pressure (Kurnia et al., 2015) Vendor ( V ) Organization that offers Cloud–SaaS and IT/ – Support and service quality (Cho & Chan, IS for SMEs 2015; Seethamraju, 2015) – Perceived supporting services (Kurnia et al., 2015) – Reputation (Seethamraju, 2015) – Co-creation of value (Seethamraju, 2015) Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 10 of 25 Table 4 (continued) Factors Description Sub–factors Owner (O) Individual who owns and operates an SME – Owners’ IT ability and knowledge (Nair business et al., 2019; R. Rahayu & Day, 2015; Taiminen & Karjaluoto, 2015) – Owners’ innovativeness (R. Rahayu & Day, 2015; Ramayah et al., 2016) – Owners’ IT attitude (Nair et al., 2019; Ramayah et al., 2016) – Owners’ attitude toward change (Alharbi et al., 2016) – Attitude of management toward ownership and control (Cho & Chan, 2015) – Owners’ perception (Al-Bakri & Katsioloudes, 2015) – Owners’ IT experience (R. Rahayu & Day, 2015) – Owners’ age (Nair et al., 2019) – Owners’ personal characteristics (Martínez- Román & Romero, 2017) Why do SMEs adopt cloud accounting? Cloud accounting in Thailand is in the early stages of adoption, as confirmed by 10 out of 11 expert and vendor informants. The existing adoption rate is estimated at 50,000–70,000 companies, or 5–10% of juristic-entity SMEs, as per the following interview extracts: Thailand has a relatively low user adoption rate. Most SMEs set their own manual accounting system or outsource accounting services. (EX4.2) SaaS is perceived as very new by Thai SMEs. Current adoption should be around 10% of juristic SMEs or 50,000 firms, so the untapped potential is very large, approximately 90%. (VE2) Respondents in our study reported that SMEs’ decision to adopt cloud accounting was triggered by perceived internal needs and problems rather than external information about cloud accounting (n = 14). However, the reasons for adoption varied; the most frequently cited were as follows: to improve efficiency (n = 7), to obtain real-time data (n = 4), and to increase mobility (n = 3), as illustrated by the following excerpts: We aim to reduce the number of workers, manual work, and paperwork in all pro- cesses. (OW1) The main reason is real-time financial data, which is normally missing. With tradi - tional accounting software, sometimes, SMEs do not even know who owe them money. With cloud accounting, they can better track accounts payable, accounts receivable, expenses, revenue, and margins in detail. (VE4) Mobility is the reason why SMEs decide to adopt cloud accounting. After sales meet- ings, SMEs can immediately issue a purchase order from their mobile or tablets and send it to the customer via the LINE application. They have no need to return to their offices. (EX5) S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 11 of 25 Table 5 Informant profile Group Informant code Role Experience Sex Age Education Expert EX1 – Managing director – 15 year experience F 40–50 Master’s degree as accountant – Using cloud accounting for SME clients and for internal use Expert EX2 – Top management in – 20 year experience M 40–50 Master’s degree government agency in IT and start-up business Expert EX3 – Academic director – 15 year experience M 40–50 Doctoral degree (PhD) of entrepreneurship in start-ups, cloud development institute accounting, digital – President of innovation, and technology-related platform strategy association – SaaS CEO/Founder Expert EX4.1 – Senior technical – 30 year experience M 50–60 N/A expert in technology for SMEs –Government officer Expert EX4.2 – Industrial analyst – 5 year experience in F 30–40 Master’s degree e-commerce for SMEs – Government officer Expert EX5 – Manager of com- – 5 year experience M 30–40 Master’s degree mercial bank that in SME banking and operates SaaS recom- insurance mender system for SMEs Vendor VE1 – CEO/founder of – Background in IT M 30–40 Master’s degree cloud accounting and small business company Vendor VE2 – CEO/founder of – Background in M 30–40 Master’s degree cloud accounting accounting company Vendor VE3 – CEO/founder of on- – Background in F 50–60 Master’s degree premise accounting accounting software and account- ing service company; cloud accounting re-seller Vendor VE4 – CEO/founder of – Background in M 40–50 Master’s degree cloud accounting and accounting accounting services company Vendor VE5 – CEO/founder of on- – Background in IT M 50–60 Master’s degree premise accounting software and cloud accounting company Owner OW1 – CEO/founder of – A few years’ experi F 30–40 Master’s degree cosmetic company ence in banking – Company aged – Experience manag 0–3 years ing others’ family – Family business business (hotel) – B2B & B2C Owner OW2 – CEO/founder of – A few years’ experi M 30–40 Master’s degree food manufacturing ence in food & bev- company erage company – Company aged 4–6 years – Family business – B2B & B2C Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 12 of 25 Table 5 (continued) Group Informant code Role Experience Sex Age Education Owner OW3 – COO/founder of – A few years’ experi F 30–40 Master’s degree food delivery service ence in international – Company aged food & beverage 4–6 years company – Startup business – B2C Owner OW4 – CFO/founder of – Experience manag M 30–40 Bachelor’s degree marketing agency ing others’ business – Company aged (food & beverage) 7–9 years – Background in – Business with engineering friends – B2B Owner OW5.1 – CEO of engine trad – Experience manag M 30–40 Bachelor’s degree ing company ing others’ family – Company aged business (Air condi- 7–9 years tioning distributors) – Family business – B2B & B2C Owner OW5.2 – CFO of engine trad – Experience manag F 30–40 Master’s degree ing company ing others’ family – Company aged business (Air condi- 7–9 years tioning distributors) – Family business – Background in – B2B & B2C finance How do SMEs start adopting cloud accounting? To facilitate the successful adoption of cloud accounting, the involvement of the SME’s owner would be critical. In Thailand, SME owners are decision makers who are proactively involved in the end-to-end adoption process—initiation, evaluation, trial, selection, and acquisition—although this practice is quite unusual in other countries. Owners’ decision-making is a nonlinear, ongoing process with several feedback loops. Before adopting new technology, they also actively seek strategic advice from exter- nal influencers, such as peers, friends, family, professional accountants, government units, and IT consultants, as well as internal influencers, such as internal accountants and co-owners. A long time ago, I had tried a cloud accounting service, but the features in those days were poor. Therefore, I abandoned the adoption plan. A couple of years later, I heard from my peers who are currently using it that the features had improved. They recommended it to me. Then, I started searching for the available cloud accounting services again and applied for a trial to see whether it fit with my company’s needs. (OW4) One of my friends recommended cloud accounting, and I signed up for the free trial and found it easy to use. I later persuaded my husband to adopt it for our company. (OW5.2) When SMEs make adoption decisions, they assess the perceived advantages of cloud accounting and the adoption costs by comparing cloud accounting with the current S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 13 of 25 arrangement or available tools, such as Microsoft Excel and on-premise accounting software. Adopters can be categorized into two groups. First, Microsoft Excel users who decide to move to proper online accounting software. Second, on-premise account- ing software users whose scope of accounting has become more complex and are looking for a new solution that better serves their needs. Both groups do some research to compare the pros and cons of the available options fit for them. ( VE2) If SMEs preferred mobility, they would choose the cloud, but if they are uncomfort- able with the monthly fee model and worry about security, they would choose on- premise software. (EX3) What are the driving factors? We evaluate the driving factors most frequently mentioned by informants (at least nine informants). Each factor has a varying influence on cloud accounting adoption, as follows: Technological context ( +) Relative advantage. In our case study, relative advantage has a positive impact on cloud accounting adoption. Most informants indicated that relative advantage is a cru- cial factor in every IT initiative that SMEs decide to pursue, including cloud account- ing. Some of these relative advantages include efficiency, accessibility, speed, accuracy, and professionalism, which ultimately lead to cost savings and improved profitability for SMEs. Below is a selection of the informants’ responses: Previously, SMEs lost important documents and wasted time searching for missing documents for the accounting service company. If SMEs store all documents on the cloud, the process of preparing financial reports and tax submissions by the account - ing service company would be quicker, easier, and less time-consuming. (EX5) I can use my smartphone to send sales quotations prepared in a professional for- mat from wherever I am. Customers often shop around, so sending a sales quotation quickly will help us get ahead of our competitors. (OW5.1) Sometimes, business owners are not aware of their current business performance and do not have a holistic view of individual customers. With cloud accounting, SME owners will have a better understanding of their current accounts receivable, accounts payable, and profitability in real time. (VE4) Compared to other accounting methods, the benefits of cloud accounting include the ability to (1) improve collaboration and information visibility between SMEs and the accounting service company, (2) issue purchasing orders and invoices to custom- ers, record business expenses, and receive payments anywhere and at any time, and (3) access up-to-date information on financial performance and the customer. Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 14 of 25 (-) Complexity. Although the adoption of digital technologies by SMEs is considered complex in many countries, the situation in Thailand is much more difficult, as many of our informants noted. This is because Thai SMEs are in the early stages of IT-ena - bled business transformation. The informants stated that the vast majority of Thai SMEs preferred traditional methods of recording accounting transactions, prepared by their outsourced or internal accountants. Early adopter SMEs typically relied on external con- sultants, such as accounting service companies, peers, and vendors when adopting cloud accounting. They perceived cloud accounting as involving a “user-friendly interface,” “easy deployment and maintenance,” and “less work of preparing budgets, financial state - ments, and cash flow statements,” as illustrated by the following excerpts: A simple usable UX/UI is one of my top selection criteria. (OW2) Cloud accounting makes accounting easy for the company without a dedicated accountant or accounting experience. (OW3) In particular, informants noted that the perception of complexity was inversely related to SMEs’ extent of experiences with other cloud-based solutions and digital technologies in general. ( +) Compatibility. Herein, compatibility refers to the degree to which cloud accounting, as an innovation, is seen as consistent with the existing values, needs, and past expe- riences of SMEs. Several informants confirmed the importance of introducing digital- enabled business practices that are compatible with current organizational practices. There are different needs within the SME segment; therefore, cloud accounting has been adapted in different ways based on the size and scope of operations, as illustrated in the following excerpt: Cloud accounting is typically for SMEs with a non-complex business model, such as a trading company, general service company, or small agency. It is not suitable for companies with many subsidiaries that need to comply with advanced accounting rules. Therefore, in my case, I use cloud accounting for quotations and invoice pro - cessing only. My accountancy team handles accounting separately to ensure accu- racy in financial statements. (OW4) Based on the interviews, the following three conditions within firms are identified as particularly well-suited to embracing cloud accounting: (1) having a simple business structure and operations, (2) being equipped with computer and Internet access, (3) and engaging with accounting service companies that have adopted automation and cloud accounting software. Organizational context ( ±) Firm characteristics. In this study, the term “firm characteristics” refers to firm size and nature of business. Firm size is defined by the number of employees and annual rev - enue, whereas nature of business refers to industry type, the business model, geographi- cal scope, and taxation requirements. Below is a selection of the informants’ responses on the firm characteristics that influence adoption: S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 15 of 25 In case of mom-and-pop stores, they do not benefit from cloud accounting. However, if they want to grow the business or set a company standard, cloud accounting is the best fit for their businesses. (EX2) Most adopters are juristic-entity SMEs, because they are required by Thai law to file and pay monthly taxes. If they are late or fail to meet a required legal obligation, penalties will apply immediately. (VE1) Most adopters are business-to-business (B2B) SMEs that operate nationwide. SME owners use cloud accounting for tracking salesperson records and available stock with greater ease. (EX1) In general, the informants concluded that cloud accounting is relatively important for the trading and service-type industries. Registered SMEs, B2B SMEs, and SMEs with a wider geographic presence were more willing to adopt cloud accounting. ( ±) Technology competence. Technology competence refers to three aspects: (1) digi- tal technology knowledge—the degree to which SMEs realize the ability of existing and emerging digital technology, (2) digital technology utilization—the extent to which SMEs employ digital technology to enhance their effectiveness and decision-making, and (3) digital technology facility—a set of tools that contribute to SMEs’ digital technol- ogy utilization. We find that prior experiences and success in digital technology adop - tion are a source of digital technology knowledge and increase its utilization. At present, cloud accounting relies mainly on having an Internet connection and Internet-enabled devices. Poor and slow Internet connections can affect the work methods of rural SMEs. SMEs that rarely use technology are reluctant to adopt cloud accounting. (VE3) They selected SaaS, because they have limited technology competence. (VE4) This study portrays two different views on technology competence. On the one hand, it is believed that cloud accounting fits SMEs particularly well as they usually have lim - ited technology competence and resources (n = 9). On the other hand, some informants argue that if the level of technology competence in SMEs is too low—if they have no computer or Internet access—cloud accounting adoption is simply not possible (n = 8). Environment ( +) Coercive pressure. At present, Thai government agencies, such as the Digital Econ - omy Promotion Agency, Department of Industrial Promotion, and Department of Busi- ness Development are consistently promoting and enforcing digital technology adoption among SMEs. This is done through government policies, such as a 200% tax deduc - tion scheme up to 100,000 THB for the purchase of digital technology (including cloud accounting), a grant of up to 10,000 THB to support SMEs’ software purchasing needs— including fees for cloud accounting, software training, and consultation—and a free e-accounting program for SMEs and electronic tax return filing platforms, as confirmed by the following quotes: Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 16 of 25 Right now, we use webinars to connect with SMEs. Before the COVID-19 pandemic, we arranged face-to-face consultations with SMEs seeking software-related advice and government grant information. This year, we have 3,500 grants available, val - ued up to 10,000 THB each. (EX2) Government policy increasingly favors SaaS adoption in SMEs; for instance, the DBD e-filing system—submitting financial statements of a company established under Thai law online. (VE3) According to expert groups, coercive forces are mainly triggered by regulations associated with tax-related benefits and government sponsorship. However, vendor and owner groups perceived current government support as being less attractive and rather proposed promotion of long-term cloud accounting usage, such as speedy and streamlined loan scheme applications for SMEs that periodically synchronize their financial information with the cloud accounting platform. ( +) Normative pressure. In this research, sources of normative pressure include indus- try norms and customer expectations. These norms were created through training, social networks, and professional processes. Some informants mentioned that norma- tive pressure could also be traced to other bodies that have successfully employed cloud accounting. People in the digital startup industry have a sense of getting it done fast and online only. That’s why I chose cloud accounting since Day 1. (OW3) First, the owners attended SME trainings and seminars. Then, they realized the importance of digital tools and finally asked us for an adoption consultation. (EX4.1) ( +) Mimetic pressure. Some SMEs felt pressure to adopt cloud accounting, typically because of its adoption by their competitors or other similar organizations. Our inform- ants determined that mega trends and competitive intensity also encourage SMEs to adopt cloud accounting. As increasing numbers of SMEs adopt cloud accounting dur- ing the COVID-19 pandemic, mimetic pressure to change will increase rapidly for those who do not. SMEs were forced to adopt cloud accounting due to mega trends, such as globali- zation and competitive rivalry among the firms in an industry. ( VE4). After reviewing the vendor’s website, I felt its targets SMEs similar to mine. If oth- ers can use it, I should use it, too. (OW2) This finding further indicates that pressure from competitors is more impactful than that from other stakeholders. ( +) COVID-19 pressure. All informants perceived that the COVID-19 pandemic has accelerated the digital transformation of SMEs. Cloud accounting awareness and S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 17 of 25 adoption has been consistently increasing post-COVID-19. Interviewee comments often highlighted that SMEs with cloud accounting have been able to adapt readily to the lock- down, while others are unable to operate effectively. As mentioned by informants, cloud accounting can help in avoiding physical contact, accessing up-to-date financial infor - mation remotely, and integrating with other systems, such as e-commerce platforms, payroll, and warehouse management. The adoption is rising. SMEs want to use cloud accounting as soon as possible, because they saw that their competitors who already adopted cloud accounting could run their business more smoothly during the COVID-19 lockdown. (EX2) COVID-19 and work-from-home policies are raising the awareness of SMEs who are using on-premise software. ( VE4) The informants concluded that the ongoing COVID-19 pandemic has pushed SMEs to opt for remote working, and cloud accounting has contributed to maintaining business continuity in this period. Vendor ( +) Vendor support and service quality. Cloud accounting vendors provide more than software and hardware; they also deliver expertise in a specific accounting area that SMEs feel can augment their accounting knowledge, process, and system. Vendor sup- port and service quality refer to vendor promotion, training workshops, and technical support. In Thailand, online and offline training is regularly provided by local vendors: I think SMEs decide based on vendor support and functionality. Old SMEs in par- ticular prefer a vendor that can answer their questions and resolve their issues quickly. (EX2) I first chose this vendor because of special promotion—50% discount, equal to just 3,000 THB per year. It is not expensive for an initial-stage business-like mine. (OW1) Vendor support and service quality are key considerations, since adopting cloud accounting requires strong commitment between the vendor and SMEs. (VE5) The interview outcomes indicate that cloud accounting vendors play an important role in helping SMEs to implement cloud accounting and facilitating their use of this tech- nology while aiding resolution of both technical and accounting issues. Owner ( +) Owner’s support. In our study, the decision to adopt cloud accounting made entirely by SME owners, who usually make all business decisions, from daily operations to future investments. To facilitate successful implementation, SME owners are proactively involved in the adoption process, including the initiation, evaluation, trial, selection, and acquisition of software. Proactive owners are convinced of the benefits of cloud account - ing, and likely to support it. Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 18 of 25 Owner’s participation and strong desire to use are key contributors to the digital technology adoption success within SMEs. (EX4.2) The owner is the key decision maker to adopt or not adopt cloud accounting. (OW1) All six SME owners who were involved in the entire adoption process perceived cloud accounting adoption and usage positively. ( +) Owner’s attitude. Attitude toward change is related to owners’ change competency, such as taking risks, emphasizing goal achievement, and being socially active. SME owners that have a greater tolerance for risk and change are more likely to accept cloud accounting. For instance, OW3 was a visionary and passionate about the future direc- tion of her business. She was a risk taker, judging by her decision to adopt Xero, a New Zealand-based cloud accounting provider not commonly used in Thailand. Six years ago, we decided to use cloud accounting though there was only Xero avail- able. We are possibly the first Thai user of Xero. (OW3) The owner’s positive attitude toward change is critical. If the owner prefers not to change, new technology adoption is not possible. (OW4) Ten out of seventeen informants believed that the SME owner’s attitude was critical for any IT/IS adoption success, including cloud accounting. ( +) Owner’s innovativeness. Owner’s innovativeness appears to be another determinant of cloud accounting adoption. Innovative owners prefer to apply distinctive and risky solutions, such as cloud accounting that modify the traditional structure. As all owner informants mentioned, they always seek, support, and contribute to innovative activi- ties, which results in enhancing the firm’s efficiency and competitiveness. New technol - ogy and research and development (R&D) are common in these firms. To support operation, we develop our own task-tracking software on the cloud for internal and customer use. We never use the local server in any areas. (OW4) Owners’ innovativeness is very important. If they are tech-savvy, they normally choose online, rather than offline solutions. (VE2) These results suggest that the innovativeness of the owner influences the cloud accounting adoption decision in SMEs. Discussion In this section, we first discuss why and how SMEs adopt cloud accounting in Thailand and then elaborate on the influence of the TOEVO factors on cloud accounting adoption. Why SMEs adopt cloud accounting Before examining why SMEs adopt cloud accounting, it is worthwhile understanding the state of cloud accounting in developing countries, particularly in Thailand. Our study indicates that most Thai SMEs did not use cloud accounting before the COVID-19 S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 19 of 25 pandemic. They were reluctant to adopt cloud accounting due to their reliance on tradi - tional processes centered around paperwork and desktop-based software. This is in line with Nyathi et al. (2018), who found that 81% of SMEs in Zimbabwe use manual record- keeping systems and Harash (2017), finding that most Iraqi SMEs have not adopted proper accounting information systems. Our cross-case analysis indicates that the intention to adopt cloud accounting was ini- tially triggered by internal needs to improve business activities, rather than by external factors. The key rationales are to improve efficiency through lower operating costs and reduced error, stay competitive in a data-driven world, and increase mobility in response to the pandemic. As a top priority, SMEs’ higher efficiency is derived from lower man - ual workload, no upfront IT investment, fewer workers, and minimized paperwork, as well as online collaboration between co-owners, SMEs and customers, and SMEs and accounting service companies. This is a key rationale in developing countries and has also been reported in other IT/IS adoption studies (u H Th a et al., 2020). How SMEs adopt cloud accounting We find that, unlike large established organizations, SMEs take an informal adoption approach to cloud accounting. This finding is aligned to that of Carcary et  al. (2014), which states that SMEs do not emphasize creating or utilizing proper cloud readiness assessment criteria. Moreover, as SMEs are smaller and family- or friends-owned busi- nesses, the owners normally make all decisions based on their individual traits, including attitude, knowledge, and experience. Key owner traits are owners’ innovativeness and their attitude toward change. This observation confirms the findings of previous cloud and SME technology adoption studies (Alharbi et al., 2016; Cho & Chan, 2015; Rahayu & Day, 2015; Ramayah et al., 2016; Seethamraju, 2015). During the adoption process, SME owners use the Internet to investigate which tool would suit their situation, review its accounting functionality (including user experience and user interface), and then compare costs with other available tools. For micro and small businesses, low price and ease of use are more important than complete function- ality. These results are in line with the findings of Levenburg (2005). Although price is an SME priority, financial constraints for cloud accounting and other IT-related resources is of lesser concern. Our finding contradicts that of other SME IT/IS adoption studies that financial constraints are one of main IT/IS implementation challenges in develop - ing countries (Apulu et al., 2011; Hernandez, 2020; Kabanda et al., 2018). This is because cloud accounting platforms offer affordable pay-per-use services with flexible payment options, allowing SMEs to pay only for the functions they need, making it a cost-effec - tive solution (Kim et al., 2017). This study shows that SME owners are not only decision makers but also initiators, trial users, evaluators, and executors during the adoption process, confirming that owner commitment is essential in the implementation of accounting-related informa- tion systems (Rahayu, 2012). Furthermore, we found that owners’ adoption decisions were also influenced by various stakeholders, such as peers, friends, family, professional accountants, government units, vendors, and IT consultants, both online and offline. Similarly, Nguyen et al. (2015) show that the assistance of external IT experts during the adoption process helps to reduce failure risk within SMEs. Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 20 of 25 Fig. 1 HYPERLINK "sps:id::fig1||locator::gr1||MediaObject::0" Technology–organization–environment–vendor– owner–cloud accounting adoption framework for small and medium enterprises Conceptual model based on TOEVO factors The study’s findings reveal that vendor, owner, technological, organizational, and envi - ronmental factors have a positive effect on cloud accounting adoption in SMEs. An integrated conceptual model through the lens of extended TOE–DOI–INT, depicting the relationship between relevant factors and SMEs’ decision to adopt cloud accounting, is presented in Fig. 1. With regard to the environment, all determinants confirmed the findings of previous IT/IS adoption studies (Kung et al., 2015; Martins et al., 2016), except for pressure from the COVID-19 pandemic, which is an additional determinant identified by this study. Our findings indicate that work-from-home arrangements and the national lockdown have accelerated the demand for cloud-based solutions from SMEs, especially cloud accounting. This is in line with outcomes of a recent survey, which confirmed that the COVID-19 pandemic has become a more important determinant in SMEs’ cloud-spe- cific purchasing decisions since 2020 (International Trade Center, 2020). Vendor support and service quality are important factors from our study that align with a previous study conducted by Lewandowski et  al. (2013), who noted that vendor support during and after implementation proved valuable to SMEs. Furthermore, cloud accounting vendors often understand SMEs’ unique needs and, therefore, target their marketing toward adoption by SMEs. This finding contradicts Stockdale and Standing (2004), who indicate that SMEs face obstacles as IT vendors often restrict their market- ing to larger firms. Conclusions and implications In terms of theoretical implications, this is presumably the first study to explore cloud accounting adoption after the COVID-19 pandemic. By integrating TOE, DOI, INT, and extended factors, this study has shown that five aspects—technological, organizational, S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 21 of 25 environmental, vendor-, and owner-related—are interconnected and affect SMEs’ adop - tion and use of cloud accounting in the COVID-19 context. This paper triangulates sources of information, including experts, vendors, and owners, to better understand the organizational context of SMEs. Thus, it contributes to theory regarding cloud comput - ing adoption and SMEs. Furthermore, this paper provides significant practical implications for the research community, policymakers, cloud accounting vendors, and SME owners, in terms of formulating better approaches for cloud accounting adoption after the COVID-19 pan- demic. The results suggest that policymakers can promote cloud accounting adoption along with faster loan scheme applications, rather than tax benefit policies (see Coer - cive pressure). Moreover, vendors should focus on SMEs’ particular characteristics and needs. By contrast, SMEs should determine the organizational fit of the cloud account - ing platform and utilize cloud accounting to its full potential, for instance, in cashflow management and integration with other cloud-based open platforms for inventory man- agement, e-commerce platforms, and point-of-sale software. As cloud accounting is relatively new in Thailand, this study focuses on its adoption and initial usage by SMEs. For future research, these findings are potentially transfer - able to other types of organizations and beyond the geographic restrictions explored ini- tially. That is, to address this study’s limitations, the TOEVO framework developed here requires further investigation and testing using larger sample sizes, a broader range of SME characteristics (e.g., different organizational size and nature of business), and more locations. Future studies might also examine the diffusion of cloud accounting across time, given that factors influencing initial adoption could possibly change during the routinization and infusion stages. Author contributions All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by DS. The first draft of the manuscript was written by DS and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. Authors’ information Dalinee Sastararuji is PhD Candidate at Chulalongkorn University. She has experience in digital banking for retail and SMEs. Her research interests are technology management, innovation management, and entrepreneurship. Danupol Hoonsopon is currently an Assistant Professor of Marketing and Director of CBS Academy. He holds a DBA in Market- ing from Chulalongkorn University, Thailand. His current research interests are new product development, innovation management, and market research. Pongsakorn Pitchayadol is an Assistant Professor of Marketing at Prince of Songkla University, Thailand. He holds a PhD from Chulalongkorn University, Thailand, specializing in technology and innovation management. His current research interests include marketing, entrepreneurship, and innovation. Pimsiri Chiwamit is an Assistant Professor of Accounting at Chulalongkorn University, Thailand. She holds Doctor of Philosophy (Accounting) from University of Manchester, UK. Her research interest is management accounting. Availability of data and materials All data generated or analyzed during this study are included in this published article and its supplementary information files. Declarations Competing interests This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Received: 24 September 2021 Accepted: 9 January 2022 Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 22 of 25 References Alam, S. S., Ali, M. Y., & Mohd. Jani, M. F. (2011). An empirical study of factors affecting electronic commerce adoption among SMEs in Malaysia. Journal of Business Economics and Management, 12(2), 375–399. Alamin, A. A., Wilkin, C. L., Yeoh, W., & Warren, M. (2020). The impact of self-efficacy on accountants’ behavioral intention to adopt and use accounting information systems. Journal of Information Systems, 34(3), 31–46. https:// doi. org/ 10. 2308/ isys- 52617 Al-Bakri, A. A., & Katsioloudes, M. I. (2015). The factors affecting e-commerce adoption by Jordanian SMEs. Management Research Review, 38, 726–749. https:// doi. org/ 10. 1108/ mrr- 12- 2013- 0291 Albulescu, C. (2020). Coronavirus and financial volatility: 40 days of fasting and fear. SSRN Electronic Journal. https:// doi. org/ 10. 2139/ ssrn. 35506 30 Alharbi, F., Atkins, A., & Stanier, C. (2016). Understanding the determinants of Cloud Computing adoption in Saudi health- care organisations. Complex & Intelligent Systems, 2, 155–171. https:// doi. org/ 10. 1007/ s40747- 016- 0021-9 Alkhalil, A., Sahandi, R., & John, D. (2017). An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model. Journal of Cloud Computing. https:// doi. org/ 10. 1186/ s13677- 016- 0072-x Alkhater, N., Walters, R., & Wills, G. (2018). An empirical study of factors influencing cloud adoption among private sector organisations. Telematics and Informatics, 35(1), 38–54. https:// doi. org/ 10. 1016/j. tele. 2017. 09. 017 Alshamaila, Y., Papagiannidis, S., & Li, F. (2013). Cloud computing adoption by SMEs in the north east of England. Journal of Enterprise Information Management, 26, 250–275. https:// doi. org/ 10. 1108/ 17410 39131 13252 25 Apulu, I., Latham, A., & Moreton, R. (2011). Factors affecting the effective utilisation and adoption of sophisticated ICT solutions. Journal of Systems and Information Technology, 13(2), 125–143. https:// doi. org/ 10. 1108/ 13287 26111 11359 Awa, H. O., & Ukoha, O. (2017). Revisiting technology-organization-environment ( T-O-E) theory for enriched applicability. Bottom Line, 30(1), 2–22. https:// doi. org/ 10. 1108/ BL- 12- 2016- 0044 Berisha, G., & Pula, J. (2015). Defining small and medium enterprises: a critical review. Academic Journal of Business, Admin- istration, Law and Social Sciences, 1(1), 17–28. Beynon-Davies, P., & Williams, M. (2003). The diffusion of information systems development methods. The Journal of Strategic Information Systems, 12(1), 29–46. https:// doi. org/ 10. 1016/ S0963- 8687(02) 00033-1 Bull, C. (2003). Strategic issues in customer relationship management (CRM) implementation. Business Process Manage- ment Journal, 9(5), 592–602. https:// doi. org/ 10. 1108/ 14637 15031 04967 03 Carcary, M., Doherty, E., Conway, G., & McLaughlin, S. (2014). Cloud computing adoption readiness and benefit realization in Irish SMEs—an exploratory study. Information Systems Management, 31(4), 313–327. https:// doi. org/ 10. 1080/ 10580 530. 2014. 958028 Cho, V., & Chan, A. (2015). An integrative framework of comparing SaaS adoption for core and non-core business opera- tions: an empirical study on Hong Kong industries. Information Systems Frontiers, 17, 629–644. https:// doi. org/ 10. 1007/ s10796- 013- 9450-9 Chouki, M., Talea, M., Okar, C., & Chroqui, R. (2020). Barriers to information technology adoption within small and medium enterprises: A systematic literature review. International Journal of Innovation and Technology Management. https:// doi. org/ 10. 1142/ s0219 87702 05000 78 Christauskas, C., & Miseviciene, R. (2012). Cloud-computing based accounting for small to medium sized business. Engi- neering Economics. https:// doi. org/ 10. 5755/ j01. ee. 23.1. 1220 Das, S., & Dayal, M. (2016). Exploring determinants of cloud-based enterprise resource planning (ERP) selection and adoption: A qualitative study in the Indian education sector. Journal of Information Technology Case and Application Research, 18(1), 11–36. https:// doi. org/ 10. 1080/ 15228 053. 2016. 11607 33 Dimaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160. https:// doi. org/ 10. 2307/ 20951 01 Dimitriu, O., & Matei, M. (2015). Cloud accounting: A new business model in a challenging context. Procedia Economics and Finance, 32, 665–671. https:// doi. org/ 10. 1016/ S2212- 5671(15) 01447-1 Dmour, A., Aldmour, R., & Masa’deh, R. E. (2016). Interrelated factors influencing the adoption decision of AIS applications by SMEs in Jordan. International Business Research, 9, 46. https:// doi. org/ 10. 5539/ ibr. v9n10 p46 Đorđević, M., Radovic, O., & Bonić, L. (2018). Potentials for applying cloud technology in accounting. Ekonomika, 64(3), 23–30. https:// doi. org/ 10. 5937/ ekono mika1 80302 3D Eze, S. C., Chinedu-Eze, V. C., Bello, A. O., Inegbedion, H., Nwanji, T., & Asamu, F. (2019). Mobile marketing technology adop- tion in service SMEs: A multi-perspective framework. Journal of Science and Technology Policy Management, 10(3), 569–596. https:// doi. org/ 10. 1108/ JSTPM- 11- 2018- 0105 Felix, B. T., & Hunter, M. G. (2002). The repertory grid technique: A method for the study of cognition in information systems. MIS Quarterly, 26, 39–57. https:// doi. org/ 10. 2307/ 41323 40 Fitriasari, F. (2020). How do small and medium enterprise (SME) survive the COVID-19 outbreak? Jurnal Inovasi Ekonomi. https:// doi. org/ 10. 22219/ jiko. v5i3. 11838 Halabí, C. E., & Lussier, R. (2014). A model for predicting small firm performance: Increasing the probability of entrepre - neurial success in Chile. Journal of Small Business and Enterprise Development, 21(1), 4–25. https:// doi. org/ 10. 1108/ JSBED- 10- 2013- 0141 Harash, E. (2017). Accounting performance of SMEs and effect of accounting information system: a conceptual model. Global Journal of Management and Business Research. Retrieved from https:// journ alofb usine ss. org/ index. php/ GJMBR/ artic le/ view/ 2342. Harvie, C., & Lee, B.-C. (2002). The role of SMEs in national economies in East Asia. Edward Elgar Publishing. Hernandez, A. A. (2020). Exploring the factors to green IT adoption of SMEs in the Philippines. IGI Global. Hiran, K. K., & Henten, A. (2020). An integrated TOE–DoI framework for cloud computing adoption in the higher educa- tion sector: case study of Sub-Saharan Africa, Ethiopia. International Journal of System Assurance Engineering and Management, 11, 441–449. https:// doi. org/ 10. 1007/ s13198- 019- 00872-z S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 23 of 25 Hoonsopon, D., & Puriwat, W. (2019). Organizational agility: Key to the success of new product development. IEEE Transac- tions on Engineering Management, 68(6), 1722–1733. https:// doi. org/ 10. 1109/ TEM. 2019. 29295 00 Hoonsopon, D., & Puriwat, W. (2021). The role of leadership behaviour of project manager in managing the fuzzy front end in the development of radical and incremental innovation. International Journal of Innovation Management. https:// doi. org/ 10. 1142/ s1363 91962 15002 25 Idc-Cisco. (2020). 2020 Asia Pacific SMB digital maturity study. Retrieved from https:// www. cisco. com/c/ en_ sg/ solut ions/ small- busin ess/ digit almat urity- 2020. html International Trade Center. (2020). SME Competitiveness Outlook 2020: COVID-19: The Great Lockdown and its Impact on Small Business. Retrieved from https:// www. intra cen. org/ uploa dedFi les/ intra cenorg/ Conte nt/ Publi catio ns/ ITCSM ECO20 20. pdf Ionescu, L. (2019). Big data, blockchain, and artificial intelligence in cloud-based accounting information systems. Analysis and Metaphysics, 18, 44–49. https:// doi. org/ 10. 22381/ AM182 0196 Kabanda, S., Tanner, M., & Kent, C. (2018). Exploring SME cybersecurity practices in developing countries. Journal of Organ- izational Computing and Electronic Commerce, 28(3), 269–282. https:// doi. org/ 10. 1080/ 10919 392. 2018. 14845 98 Khanom, T. (2017). Cloud accounting: A theoretical overview. IOSR Journal of Business and Management, 19(6), 31–38. https:// doi. org/ 10. 9790/ 487X- 19060 53138 Khayer, A., Talukder, M. S., Bao, Y., & Hossain, M. N. (2020). Cloud computing adoption and its impact on SMEs’ perfor- mance for cloud supported operations: A dual-stage analytical approach. Technology in Society. https:// doi. org/ 10. 1016/j. techs oc. 2019. 101225 Kim, S. H., Jang, S. Y., & Yang, K. H. (2017). Analysis of the determinants of software-as-a-service adoption in small busi- nesses: Risks, benefits, and organizational and environmental factors. Journal of Small Business Management, 55(2), 303–325. https:// doi. org/ 10. 1111/ jsbm. 12304 Kumar, A., & Ayedee, N. (2021). Technology adoption: A solution for SMEs to overcome problems during COVID19. Acad- emy of Marketing Studies Journal, 25(1), 1–16. Kung, L., Cegielski, C. G., & Kung, H.-J. (2015). An integrated environmental perspective on software as a service adoption in manufacturing and retail firms. Journal of Information Technology, 30(4), 352–363. https:// doi. org/ 10. 1057/ jit. 2015. Kurnia, S., Choudrie, J., Mahbubur, R. M., & Alzougool, B. (2015). E-commerce technology adoption: A Malaysian grocery SME retail sector study. Journal of Business Research, 68(9), 1906–1918. https:// doi. org/ 10. 1016/j. jbusr es. 2014. 12. 010 Levenburg, N. M. (2005). Does size matter? Small firms’ use of e-business tools in the supply chain. Electronic Markets, 15(2), 94–105. https:// doi. org/ 10. 1080/ 10196 78050 00837 46 Levy, M., Powell, P., & Yetton, P. (2001). SMEs: Aligning IS and the strategic context. Journal of Information Technology, 16(3), 133–144. https:// doi. org/ 10. 1080/ 02683 96011 00636 72 Lewandowski, J., Salako, A. O., & Garcia-Perez, A. (2013). SaaS enterprise resource planning systems: Challenges of their adoption in SMEs. Paper presented at the 2013 IEEE 10th International Conference on e-Business Engineering, Coventry, UK. Loecher, U. (2000). Small and medium-sized enterprises—delimitation and the European definition in the area of industrial business. European Business Review, 12(5), 261–264. https:// doi. org/ 10. 1108/ 09555 34001 03735 37 Lopez-Nicolas, C., & Soto-Acosta, P. (2010). Analyzing ICT adoption and use effects on knowledge creation: An empiri- cal investigation in SMEs. International Journal of Information Management, 30(6), 521–528. https:// doi. org/ 10. 1016/j. ijinf omgt. 2010. 03. 004 Lune, H., & Berg, B. L. (2017). Qualitative research methods for the social sciences (9th ed.). Pearson. Lyytinen, K., & Damsgaard, J. (2001). What’s wrong with the diffusion of innovation theory? Springer. Marand, A. A., Marand, E. A., & Dashtebayaz, M. L. (2013). Investigating the effects of cloud computing on account - ing and its comparison with traditional models. Advances in Environmental Biology, 7(10), 2836. Retrieved from https:// link. gale. com/ apps/ doc/ A4405 51555/ AONE?u= chula & sid= AONE& xid= 0096b 22f Martínez-Román, J. A., & Romero, I. (2017). Determinants of innovativeness in SMEs: Disentangling core innovation and technology adoption capabilities. Review of Managerial Science, 11(3), 543–569. https:// doi. org/ 10. 1007/ s11846- 016- 0196-x Martins, R., Oliveira, T., & Thom, M. (2016). An empirical analysis to assess the determinants of SaaS diffusion in firms. Computers in Human Behavior, 62, 19–33. https:// doi. org/ 10. 1016/j. chb. 2016. 03. 049 Mole, K. F., Ghobadian, A., O’Regan, N., & Liu, J. (2004). The use and deployment of soft process technologies within UK manufacturing SMEs: An empirical assessment using logit models. Journal of Small Business Management, 42(3), 303–324. https:// doi. org/ 10. 1111/j. 1540- 627X. 2004. 00113.x Nair, J., Chellasamy, A., & Singh, B. N. B. (2019). Readiness factors for information technology adoption in SMEs: Testing an exploratory model in an Indian context. Journal of Asia Business Studies, 13(4), 694–718. https:// doi. org/ 10. 1108/ JABS- 09- 2018- 0254 Nguyen, T. H., Newby, M., & Macaulay, M. J. (2015). Information technology adoption in small business: Confirmation of a proposed framework. Journal of Small Business Management, 53(1), 207–227. https:// doi. org/ 10. 1111/ jsbm. Nyathi, K., Nyoni, T., Nyoni, M., & Bonga, W. G. (2018). The role of accounting information in the success of small & medium enterprises (SMEs) in Zimbabwe: A case of harare. Journal of Business and Management (DRJ-JBM), 1(1), 1–15. Oliveira, T., & Martins, M. F. (2010). Firms patterns of e-business adoption: Evidence for the European Union-27. Electronic Journal of Information Systems Evaluation, 13(1), 47–56. Oliveira, T., Martins, R., Sarker, S., Thomas, M., & Popovič, A. (2019). Understanding SaaS adoption: The moderating impact of the environment context. International Journal of Information Management, 49, 1–12. https:// doi. org/ 10. 1016/j. ijinf omgt. 2019. 02. 009 Oni, O., & Papazafeiropoulou, A. (2014). Diverse views on IT innovation diffusion among SMEs: Influencing factors of broadband adoption. Information Systems Frontiers, 16, 729–747. https:// doi. org/ 10. 1007/ s10796- 012- 9384-7 Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 24 of 25 Organization for Economic Cooperation & Development. (2021). The digital transformation of SMEs. Retrieved from doi:https:// doi. org/ 10. 1787/ bdb92 56a- en Papadopoulos, T., Baltas, K. N., & Balta, M. E. (2020). The use of digital technologies by small and medium enterprises during COVID-19: Implications for theory and practice. International Journal of Information Management, 55, 102192. https:// doi. org/ 10. 1016/j. ijinf omgt. 2020. 102192 Parker, C. M., & Castleman, T. (2009). Small firm e-business adoption: A critical analysis of theory. Journal of Enterprise Information Management, 22(1/2), 167–182. https:// doi. org/ 10. 1108/ 17410 39091 09328 12 Pitchayadol, P., Hoonsopon, D., Chandrachai, A., & Triukose, S. (2018). Innovativeness in Thai family SMEs: An exploratory case study. Journal of Small Business Strategy, 28(1), 38–48. Retrieved from https:// libjo urnals. mtsu. edu/ index. php/ jsbs/ artic le/ view/ 1081 Puriwat, W., & Hoonsopon, D. (2021). Cultivating product innovation performance through creativity: The impact of organizational agility and flexibility under technological turbulence. Journal of Manufacturing Technology Manage - ment. https:// doi. org/ 10. 1108/ JMTM- 10- 2020- 0420 Rahayu, R., & Day, J. (2015). Determinant factors of E-commerce adoption by SMEs in developing country: Evidence from Indonesia. Procedia - Social and Behavioral Sciences, 195, 142–150. https:// doi. org/ 10. 1016/j. sbspro. 2015. 06. 423 Rahayu, S. K. (2012). The factors that support the implementation of accounting information system: A survey in Band- ung and Jakarta s taxpayer offices. Journal of Global Management, 4(1), 25–52. Rahman, M. S. (2017). The advantages and disadvantages of using qualitative and quantitative approaches and methods in language “testing and assessment” research: A literature review. Journal of Education and Learning, 6(1), 102–112. https:// doi. org/ 10. 5539/ jel. v6n1p 102 Ramayah, T., Ling, N. S., Taghizadeh, S. K., & Rahman, S. A. (2016). Factors influencing SMEs website continuance intention in Malaysia. Telematics and Informatics, 33(1), 150–164. https:// doi. org/ 10. 1016/j. tele. 2015. 06. 007 Rindasu, S.-M. (2017). Emerging information technologies in accounting and related security risks—What is the impact on the Romanian accounting profession. Journal of Accounting and Management Information Systems, 16(4), 581–609. Retrieved from https:// EconP apers. repec. org/ RePEc: ami: journl: v: 16:y: 2017:i: 4:p: 581- 609 Rogers, E. M. (2010). Diffusion of innovations (4th ed.). Simon and Schuster. Romney, M., Steinbart, P., Mula, J., McNamara, R., & Tonkin, T. (2012). Accounting information systems (Australasian). Pearson Higher Education. Safari, F., Safari, N., & Hasanzadeh, A. (2015). The adoption of software-as-a-service (SaaS): Ranking the determinants. Journal of Enterprise Information Management, 28(3), 400–422. https:// doi. org/ 10. 1108/ jeim- 02- 2014- 0017 Salahshour Rad, M., Nilashi, M., & Mohamed Dahlan, H. (2018). Information technology adoption: A review of the literature and classification. Universal Access in the Information Society, 17, 361–390. https:// doi. org/ 10. 1007/ s10209- 017- 0534-z Scott, W. R., & Christensen, S. (1995). The institutional construction of organizations: International and longitudinal studies. Seethamraju, R. (2015). Adoption of software as a service (SaaS) enterprise resource. Information Systems Frontiers, 17, 475–492. https:// doi. org/ 10. 1007/ s10796- 014- 9506-5 Senyo, P. K., Addae, E., & Boateng, R. (2018). Cloud computing research: A review of research themes, frameworks, meth- ods and future research directions. International Journal of Information Management, 38(1), 128–139. https:// doi. org/ 10. 1016/j. ijinf omgt. 2017. 07. 007 Stockdale, R., & Standing, C. (2004). Benefits and barriers of electronic marketplace participation: An SME perspective. Journal of Enterprise Information Management, 17(4), 301–311. https:// doi. org/ 10. 1108/ 17410 39041 05487 15 Strusani, D., & Houngbonon, V. G. (2020). The impact of COVID-19 on disruptive technology adoption in emerging markets. Retrieved from https:// www. ifc. org/ wps/ wcm/ conne ct/ 537b9 b66- a35c- 40cf- bed8- 6f618 c4f63 d8/ 202009- COVID- 19- Impact- Disru ptive- Tech- EM. pdf? MOD= AJPER ES& CVID= njn5x G9 Taiminen, M., & Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enter- prise Development, 22(4), 633–651. https:// doi. org/ 10. 1108/ JSBED- 05- 2013- 0073 The Office of SMEs Promotion. (2020). Definition of MSMEs. Retrieved from https:// www. sme. go. th/ en/ page. php? modul ekey= 363 Thu Ha, L. T., Minh Huyen, L. T., Thu Huong, L. T., & Hoang Linh, L. N. (2020). The influence of organizational factors to software-as-a-service (SAAS) adoption in Vietnamese Enterprises. VNU Journal of Science: Policy and Management Studies, 36(2), 52–69. https:// doi. org/ 10. 25073/ 2588- 1116/ vnupam. 4223 Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). The processes of technological innovation. Lexington Books. UNIDO. (2020). Impact assessment of COVID-19 on Thai Industrial Sector. Retrieved from https:// www. unido. org/ sites/ defau lt/ files/ files/ 2020- 06/ Impac ts_ of_ COVID 19_ on_ Thai_ indus trial_ sector_ 0. pdf Van de Weerd, I., Mangula, I. S., & Brinkkemper, S. (2016). Adoption of software as a service in Indonesia: Examining the influence of organizational factors. Information & Management, 53(7), 915–928. https:// doi. org/ 10. 1016/j. im. 2016. 05. Viriyasitavat, W., & Hoonsopon, D. (2019). Blockchain characteristics and consensus in modern business processes. Journal of Industrial Information Integration, 13, 32–39. https:// doi. org/ 10. 1016/j. jii. 2018. 07. 004 Viriyasitavat, W., Xu, L. D., Bi, Z., & Hoonsopon, D. (2019). Blockchain technology for applications in internet of things— Mapping from system design perspective. IEEE Internet of Things Journal, 6(5), 8155–8168. https:// doi. org/ 10. 1109/ JIOT. 2019. 29258 25 Winarsih, Indriastuti, M., & Fuad, K. (2021). Impact of COVID-19 on digital transformation and sustainability in small and medium enterprises (SMEs): A conceptual framework (978-3-030-50454-0). Retrieved from Switzerland: World Bank. (2019). Small and medium enterprises (SMEs) finance. Retrieved from https:// www. world bank. org/ en/ topic/ smefi nance Yang, Z., Sun, J., Zhang, Y., & Wang, Y. (2015). Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model. Computers in Human Behavior, 45, 254–264. https:// doi. org/ 10. 1016/j. chb. 2014. 12. 022 Yigitbasioglu, M. (2015). The role of institutional pressures and top management support in the intention to adopt cloud computing solutions. Journal of Enterprise Information Management, 28(4), 579–594. https:// doi. org/ 10. 1108/ JEIM- 09- 2014- 0087 S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 25 of 25 Yin, R. K. (2014). Case study research: Design and methods (applied social research methods). Sage Publications. Yoon, S. (2020). A study on the transformation of accounting based on new technologies: Evidence from Korea. Sustain- ability. https:// doi. org/ 10. 3390/ su122 08669 Zaied, A. N. H. (2012). Barriers to e-commerce adoption in Egyptian SMEs. International Journal of Information Engineering and Electronic Business, 4(3), 9–18. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Innovation and Entrepreneurship Springer Journals

Cloud accounting adoption in Thai SMEs amid the COVID-19 pandemic: an explanatory case study

Loading next page...
 
/lp/springer-journals/cloud-accounting-adoption-in-thai-smes-amid-the-covid-19-pandemic-an-kJ0cQ4pUsU
Publisher
Springer Journals
Copyright
Copyright © The Author(s) 2022
eISSN
2192-5372
DOI
10.1186/s13731-022-00234-3
Publisher site
See Article on Publisher Site

Abstract

dalinee.s@gmail.com 1 The COVID-19 pandemic has altered the way small and medium-sized businesses Technopreneurship and Innovation Management (SMEs) function. To maintain business efficiency and reduce operating costs in the con- Program, Graduate School, text of the constraints imposed by the pandemic, SMEs have been forced to embrace Chulalongkorn University, new digital technologies. Cloud accounting is becoming an increasingly important Bangkok, Thailand Chulalongkorn Business School, business operating tool for SMEs. By adopting cloud-based accounting, SMEs can Chulalongkorn University, become more efficient, financially organized, and flexible. This study aims to investigate Bangkok, Thailand 3 the factors that have a pervasive influence on cloud accounting adoption among SMEs Faculty of Commerce and Management, Prince in Thailand, following the pandemic’s effects. This study integrates three technology of Songkla University, Hat Yai, adoption theories—the Technology–Organization–Environment framework, Diffu- Thailand sion of Innovation theory, and Institutional Theory—and studies them alongside SMEs’ unique characteristics. The research employs a qualitative case study method and triangulated sources of evidence. The findings provide important implications for the research community, policymakers, cloud accounting vendors, and SME owners aiming to formulate better approaches to cloud accounting adoption after the pandemic. The results suggest that vendors should focus on SMEs’ particular characteristics and needs. By contrast, SMEs should determine the organizational fit of the cloud accounting plat - form and integrate cloud accounting with other aspects of their operations. Keywords: Cloud accounting, Technology adoption, SMEs, Technology–organization– environment framework, Diffusion of innovation theory, Institutional theory Introduction Small- and medium-sized enterprises (SMEs) are commonly considered able to drive a country’s economic growth, competitiveness, and innovation (Halabí & Lussier, 2014; Pitchayadol et al., 2018). In most countries, SMEs account for approximately 90% of all private sector businesses, over 50% of private sector employment, and up to 40% of pri- vate sector turnover (World Bank, 2019). In early 2020, the COVID-19 outbreak caused major disruption to all aspects of society and it is likely to have a long-term impact on SMEs’ operation. Some SMEs, especially in the tourism, trade, education, transporta- tion, and health sectors, have been dealing with faltering revenue and a changing busi- ness landscape (Albulescu, 2020). In Thailand, the second country after China to be © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the mate- rial. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/. Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 2 of 25 affected by COVID-19, lockdown enforcement and physical distancing has had an unprecedented and severe impact on all aspects of how SMEs work, produce, trade, and communicate. Under these restrictions, SMEs are more vulnerable than large and global enterprises (Kumar & Ayedee, 2021; Papadopoulos et al., 2020). One reason for this is that they typi- cally lag in the adoption of digital technologies, which can help build resilience in the current and post-COVID-19 business environment (Fitriasari, 2020; Organization for Economic Cooperation & Development, 2021). In Japan, for instance, there was a gap in the prevalence of teleworking between larger corporations (48%) and SMEs (10–20%) even as companies sought to deal with the crisis. Nevertheless, recent surveys show that the pandemic has dramatically increased the use of digital technologies by SMEs to ensure business continuity and societal resilience, although considerable differences exist across countries. For instance, 70% of SMEs in the Asia Pacific are accelerating their digitalization, such as through cloud computing, in response to COVID-19, whereas lower-middle-income countries in other regions show 10 times lower technology usage during COVID-19 due to lower Internet penetration rates and high affordability barriers (Idc-Cisco, 2020; Strusani & Houngbonon, 2020). According to UNIDO (2020), a recent survey indicated that among all firms in Thailand, SMEs—especially low-tech firms— have suffered most from extreme revenue loss and movement restrictions, and have least access to government support. Since finance forms the backbone of SMEs, there is an increased need across verticals for a new type of accounting—one that is more timely, automated, and provides remote access and intelligent analysis. In the post-COVID-19 world, cloud accounting can help SMEs by providing an online platform that includes real-time financial, inventory, work - flow, and sales and expense data at affordable rates (Winarsih et  al., 2021). However, awareness regarding and usage of cloud accounting in Thailand is still limited. Moreover, there is a gap in the current knowledge, particularly from evidence-based studies, on the use of cloud-based technology in response to disruptive events, such as COVID-19 (Papadopoulos et al., 2020). Therefore, in this paper, we explore cloud accounting adoption in response to COV - ID-19’s destructive challenges, using SMEs in Thailand as a case study. The key research questions that this study aims to answer are: [i] Why do SMEs adopt cloud accounting? [ii] How do SMEs start adopting cloud accounting? and [iii] What are the factors driving SMEs’ adoption of cloud accounting? By integrating relevant theoretical and conceptual underpinnings, this explanatory case study deepens academic and practical insight into the cloud accounting adoption process in SMEs, in response to the impact of COVID-19. Literature review SMEs and COVID‑19 The definition of SMEs still varies across countries and industries, and is usually based on quantitative criteria, such as the number of employees, capital, assets, and annual rev- enue (Harvie & Lee, 2002; Pitchayadol et al., 2018). For instance, Jordanian law defines SMEs as firms with less than 100 full-time employees (Dmour et al., 2016). By contrast, Thai SMEs were recently redefined as enterprises with no more than 200 employees and annual revenue of up to 500 million THB based on their sector, as shown in Table 1. S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 3 of 25 Table 1 Classification of enterprise size in Thailand Type Manufacturing Trading and service No. of employees Annual revenue (THB) No. of employees Annual revenue (THB) Micro 1–5 < 1.8 mil 1–5 < 1.8 mil Small 6–50 > 1.8 mil–100 mil 6–30 > 1.8 mil–5 mil Medium 50–200 > 100 mil–500 mil 31–100 > 50 mil–300 mil Source: The Office of SMEs Promotion (2020) Although no universally accepted definition of SMEs exists, some common charac - teristics include small size, limited resources, a simple business structure, and owner dependence (Berisha & Pula, 2015; Lopez-Nicolas & Soto-Acosta, 2010). Most SMEs are owned by a single person and thus, most decision-making—including that concern- ing investment and liability—is vested in the sole owner as their lifelong duty (Loecher, 2000; Oni & Papazafeiropoulou, 2014). Before the COVID-19 pandemic, the information technology (IT) adoption rate of SMEs was traditionally low, and the failure rate high (Mole et  al., 2004; Nguyen et  al., 2015). Multiple studies reveal that SMEs’ IT adoption is inhibited by internal barriers, such as the owner‐manager’s characteristics, users’ resistance to change, limited techno- logical resources, and business size, as well as external factors, such as legal, regulatory, social, cultural, and economic barriers (Chouki et  al., 2020; Zaied, 2012). In addition, lack of IT planning and absence of IT knowledge are among the leading causes of SMEs’ failure (Bull, 2003; Levy et al., 2001; Puriwat & Hoonsopon, 2021). Due to the COVID-19 crisis, SMEs are facing new challenges, including severe rev- enue loss, a sharp decrease in labor supply, mandatory telework, and rapid movement to digital sales and e-payment (International Trade Center, 2020). The COVID-19 outbreak has made the SME owner‐manager more aware of the need for IT adoption. The shift in SMEs’ IT adoption priorities, as observed in the literature, are summarized in Table 2. Cloud accounting adoption Accounting plays a vital role in the success or failure of businesses of all sizes; thus, accounting software was developed to help businesses stay financially organized (Marand et al., 2013). Traditionally, accounting software is purchased as a product and installed locally on an individual user’s desktop computer (Dimitriu & Matei, 2015). Cloud accounting, in contrast, provides on-demand accounting services with anytime access to multiple users from anywhere, through the vendor’s Internet-based applica- tions (Christauskas & Miseviciene, 2012). In recent years, cloud computing, together with artificial intelligence (AI), big data analytics, and blockchain, have dramatically transformed the entire accounting process and business environment (Ionescu, 2019; Wattana Viriyasitavat & Hoonsopon, 2019; Viriyasitavat et al., 2019; Yoon, 2020). Cloud accounting is also known as “online accounting,” “web accounting,” “e-account- ing,” “virtual accounting system,” “real-time accounting,” or “cloud accounting software” (Christauskas & Miseviciene, 2012; Đorđević et al., 2018; Ionescu, 2019). Cloud account- ing differs from traditional accounting in multiple areas, such as the software license type (rent vs buy), system location (cloud vs user’s site), and maintenance and support Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 4 of 25 Table 2 Evidence in support of SMEs’ IT adoption during COVID-19 Authors Technology topic Evidence Kumar and Ayedee (2021) Technology 4.0, e.g., social media, The adoption of technology 4.0. can e-commerce, and cloud help identify customer demands, increase sales and turnover, maintain physical distance, and increase automation Fitriasari (2020) Digital transformation SMEs’ business resilience is aided by digital transformation, which occurs when new digital skills develop, and digital tools are embraced Papadopoulos et al. (2020) Digital technologies, e.g., mobile, In response to COVID-19, digital collaborative technologies, big data technology should be exploited for analytics, IoT, AI, and blockchain securing business continuity for SMEs during intense disruptions and global community shocks Strusani and Houngbonon (2020) Cloud, big data analytics, AI, robotics, Digitalization of business processes, IoT, blockchain, drones, 3D printing, with increased use of automation, genomics, and distributed power digital financial services, remote-con- systems, favored by 5G trol systems, and additive manufactur- ing are critical in the COVID-19 era fees (included in package vs requiring extra purchase). Cloud accounting has emerged with the convergence of the basic principles of cloud computing and the activities of the accounting information system (Khanom, 2017). Its key functions consist of collecting and storing financial activities, transforming data into valuable information for decision makers, and controlling the reliability of information (Christauskas & Miseviciene, 2012; Romney et al., 2012). However, few studies have investigated cloud accounting adoption from the SME busi- ness perspective. Most research on cloud computing has been experimental in nature, focused more on technical issues, and have not applied relevant theory (Senyo et  al., 2018). Moreover, few studies have been undertaken in emerging markets (Kim et  al., 2017). In addition, the COVID-19 pandemic has permanently changed consumer behav- iors and the business landscape, and therefore, it is important to investigate the attitude of SMEs toward cloud accounting adoption, as it could play a critical role in the success or failure of SMEs. Technology‐organization‐environment (TOE) framework The technology–organization–environment (TOE) framework, formulated by Tor - natzky et  al. (1990) identifies three facets that affect a firm’s information technology/ information systems (IT/IS) adoption: technological, organizational, and environmen- tal. The technological context is the pool of internal and external technologies that are useful to the firm. Rogers’ (2010) five perceived characteristics of innovation, namely, relative advantage, complexity, observability, compatibility, and trialability are consid- ered part of this context (Van de Weerd et  al., 2016). The organizational context refers to key resources and the nature of the business, such as scope, size, firm structure, and employee culture (Rahayu & Day, 2015). The environmental context involves pressures and supports that exist in the business field, such as customers, competitors, the mar - ket, business partners, regulators, and infrastructure. In the SME context, TOE offers a S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 5 of 25 holistic framework supported by theory-consistent empirical evidence, though the con- tributory factors identified within the three contexts may vary depending on the study (Awa & Ukoha, 2017). Nevertheless, TOE neglects the influence of social factors, such as friends, family, staff, and inter-organizational and individual factors, such as top man - agement support and decision-maker-related attributes, which are essential in the SME context (Alkhalil et al., 2017; Parker & Castleman, 2009). Various studies have used TOE to explain IT/IS adoption in SMEs (Eze et al., 2019; Ramayah et al., 2016) as well as cloud computing adoption (Kim et al., 2017; Senyo et al., 2018). Diffusion of innovation (DOI) The Diffusion of Innovation (DOI) framework, presented by Rogers (2010), serves as a theoretical foundation for IT/IS adoption studies at both individual and firm levels across various contexts (Salahshour Rad et  al., 2018). DOI emphasizes two influential factors—innovation attributes and firm innovativeness. Innovation attributes such as relative advantage, compatibility, complexity, trialability, and observability are important in explaining the rate of individuals’ adoption. Innovativeness is related to independent variables, such as leader characteristics, firms’ internal structure, and external features (Hoonsopon & Puriwat, 2019, 2021). Similarly, the technology context of TOE is often linked to the five innovation attributes of DOI. The difference between the two is that TOE incorporates the external environment as having a positive or negative influence on technological adoption, whereas DOI does not consider external factors (Oliveira & Martins, 2010). Multiple studies have used DOI to explain IT/IS adoption in SMEs (Alam et al., 2011; Alshamaila et al., 2013; Oni & Papazafeiropoulou, 2014). Alam et al. (2011) investigate 200 SMEs in Malaysia to determine the significant factors that influence their e-commerce adoption. The authors identify five important aspects in this regard: relative advantage, compatibility, organizational readiness, owner‐manager’s characteristics, and security. However, critics of Roger’s theory argue that the DOI portrays diffusion as a linear process and fails to address important facets, such as institutional concepts (Bey- non-Davies & Williams, 2003; Lyytinen & Damsgaard, 2001). Moreover, unlike those based on TOE, DOI-based analyses ignore environmental factors (Alkhalil et al., 2017). Institutional theory (INT) Institutional theory (INT), proposed by Dimaggio and Powell (1983), argues that insti- tutional environments are critical in shaping organizational structures and actions. INT identifies three types of pressures, namely, coercive—pressure from external stakehold - ers that a firm depends on; normative—pressure from social norms, values, and stand - ards; and mimetic—pressures from demands of superior performance (Kung et  al., 2015). According to Scott and Christensen (1995), institutional pressures erode existing organizational norms and practices. INT can help reinforce the TOE framework’s theo- retical strength and deep understanding of the environmental context and cloud soft- ware-as-a-service (SaaS) adoption (Oliveira et  al., 2019). However, Yigitbasioglu (2015) found that INT has greater relevance in organizational transformation studies and is addressed less by cloud computing adoption scholars. Therefore, in line with Kung et al. (2015) and Martins et al. (2016), it is necessary to incorporate institutional factors when studying cloud-SaaS adoption in SMEs. Implementation of INT complements the use Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 6 of 25 of TOE and DOI by providing a more holistic perspective of the effect of environmental pressures on the adoption of cloud accounting. Integrated theory and extended factors According to Parker and Castleman (2009) and Alkhalil et  al. (2017), one theory can- not explain all types of technology adoption. Thus, many researchers have integrated theories and/or extended factors to enhance our understanding of how a particular technology is accepted and used. A summary of previous literature on cloud comput- ing adoption, accounting information systems (AIS), and digital technologies in SMEs is shown in Table 3. In addition, we present an overview of studies that use technological, organizational, environmental, and vendor- and owner-related factors to explain both SaaS and IT/IS adoption by SMEs in Table  4. This table was created from a literature review based on a Google Scholar search for the strings “SaaS” + “Technology Adoption” and “SMEs” + “Technology Adoption,” limiting the search to SJR Q1/Q2 journals pub- lished during 2015–2019. The data in Tables  3 and 4 indicate that many studies have attempted to integrate the strengths of traditional adoption theories to provide clearer decision-making lenses, for instance, TOE–DOI–INT (Alkhater et al., 2018; Martins et al., 2016), traditional adop- tion theories with vendor factors (Cho & Chan, 2015; Seethamraju, 2015), and tradi- tional adoption theories with owner‐manager factors (Khayer et  al., 2020; Ramayah et  al., 2016; Yigitbasioglu, 2015). In the case of SME studies, the owner–manager is a crucial factor, contributing to the success or failure of adoption. Furthermore, the ven- dor factor is particularly relevant for cloud accounting, which employs a vendor-owned model. Methodology and data collection This study protocol has been approved by the Research Ethics Review Committee for Research Involving Human Subjects on August 7, 2020. Research methodology In this study, we followed an exploratory, qualitative, multiple-case study approach to investigate how technology‐organization‐environment‐vendor‐owner (TOEVO) factors influence cloud accounting adoption in Thai SMEs. We prefer a qualitative over a quanti - tative method for three main reasons. First, cloud accounting is relatively new in the field of business practices and accounting (Rindasu, 2017). Therefore, a qualitative approach based on semi-structured interviews is more appropriate for exploring and understand- ing various aspects related to the concept (Das & Dayal, 2016). Second, a qualitative approach, through the use of interactive conversation and open-ended questions, ena- bles researchers to better understand different informants’ behaviors, experiences, and reasons for adopting cloud accounting (Rahman, 2017). Third, the multiple-case study method allows for in-depth investigation of the current state of cloud accounting in real- world settings (Yin, 2014). With the case study method, we intended to determine why the adoption rate of cloud accounting in Thailand is relatively low, and whether and how TOEVO variables influence the adoption decision, especially following the COVID-19 pandemic. We S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 7 of 25 Table 3 Previous studies on adoption of cloud computing, AIS, and IT in SMEs Study Scope of study Theoretical model used Domain Organization Country Perspective TOE and DOI INT Extended similar factors context Cloud computing adoption (focusing on SaaS) Kim et al. Cloud-SaaS SMEs Korea Owner‐Man- √ √ (2017) agers (Risk and benefit) Martins Cloud-SaaS Firms in vari- Portugal IT √ √ √ et al. (2016) ous industries Safari et al. Cloud-SaaS Firm in IT ser- N/A A group of √ √ (2015) vice industry experts Cho and Cloud-SaaS Firms in vari- Hongkong IT √ √ Chan (2015) ous industries ( Technol- ( Vendor, ogy/ Owner/Man- Organiza- ager) tion) Kung et al. Cloud-SaaS Firms in manu- United IT √ √ (2015) facturing and States retail industries Seetham- Cloud-SaaS SMEs India Owner‐man- √ √ raju (2015) (ERP) agers and ( Technol- ( Vendor) IT vendors ogy/organi- zation Yigitbasio- Cloud in Firms in Australia IT √ √ glu (2015) general manufacturing (Owner/ and service Manager) industries Khayer et al. Cloud in SMEs Bangladesh Owner‐man- √ √ (2020) general agers (Owner‐ Manager) Hiran and Cloud in Education Ethiopia Stakeholders √ √ √ Henten general institution (Socio- (2020) Culture) Alkhater Cloud in Firms in vari- Saudi A group of √ √ √ √ et al. (2018) general ous industries Arabia experts ( Trust, privacy, and physical location) Accounting information system (AIS) adoption Dmour AIS SMEs Jordan Owner‐man- √ et al. (2016) agers Alamin et al. AIS N/A Libya Accountants √ √ (2020) (e.g., Per- formance expectancy, Perceived technology fit) IT adoption in SMEs Ramayah Website SMEs Malaysia Owner‐man- √ √ √ et al. (2016) agers (Owner‐ Manager) R. Rahayu E-Com- SMEs Indonesia Owner‐man- √ √ and Day merce agers (Owner‐ (2015) Manager) Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 8 of 25 Table 3 (continued) Study Scope of study Theoretical model used Domain Organization Country Perspective TOE and DOI INT Extended similar factors context Taiminen Digital SMEs Finland Owner‐man- √ √ and marketing agers (Organiza- (Owner‐ Karjaluoto channels tion/ Manager) (2015) Environ- ment) Al-Bakri and E-Com- SMEs Jordan Owner‐man- √ √ Katsiol- merce agers (Organiza- (Owner‐ oudes tion/ Manager) (2015) Environ- ment conducted semi-structured interviews with SME owners, cloud accounting vendors, and a group of experts (including professional accountants) to gain a business perspective, which is vital but less explored by researchers (Senyo et al., 2018). Case study organization and informants This study uses a triangulation of sources, that is, an examination of the same informa - tion from different data sources (experts, cloud accounting vendors, and SMEs owners) to increase the richness and validity of its findings. Data were gathered from 17 inform - ants who were involved in various SMEs’ decision-making stages, such as research, selection, and adoption of cloud accounting. The informants include six experts, five cloud accounting vendors, and six SME owners. According to Felix and Hunter (2002), a sample size of 15–25 informants is sufficient for qualitative research that is similar to our study. A detailed summary of informants’ profiles is provided in Table 5. The semi-structured interviews were conducted in Thailand from August to Septem - ber 2020, 3 months after the first nationwide lockdown in response to COVID-19 in Thailand. We conducted in-depth interviews with the informants, each of which lasted 45–75 min. The interviews where held either via Zoom video conference or face-to-face while wearing a face mask, depending on the informant’s preference. During the data collection process, we began by asking “What is cloud accounting/cloud computing?” to ensure that all informants were familiar with the concepts of cloud accounting/cloud computing. Based on the literature review, the informants were broadly asked questions about (a) their background/institutions and views on cloud accounting in Thailand; (b) SMEs’ reasons and processes for deciding to select/not select cloud accounting; and (c) factors that led to cloud accounting adoption. With the permission of the informants, the interviews were tape-recorded, fully transcribed, and analyzed based on the quali- tative content analysis approach. Content analysis was chosen due to its suitability for exploratory research (Lune & Berg, 2017). Findings and analysis In this section, we present the significant findings obtained from our semi-structured qualitative interviews. S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 9 of 25 Table 4 Previous studies that use technology, organization, environment, vendor, and owner factors Factors Description Sub–factors Technology ( T ) Pool of internal and external technologies – Relative advantage (Martins et al., 2016; Safari that are useful to the firm et al., 2015; Yang et al., 2015) – Complexity (Kung et al., 2015; Martins et al., 2016; Safari et al., 2015) – Perceived benefit (Cho & Chan, 2015; Kurnia et al., 2015; Seethamraju, 2015) – Experienceability and trialability (Safari et al., 2015; Yang et al., 2015) – Compatibility (Safari et al., 2015; Yang et al., 2015) – Perceived risk (Cho & Chan, 2015) – Cost savings (Martins et al., 2016) – Simplicity (Yang et al., 2015) – Configurability (Seethamraju, 2015) – Observability (Safari et al., 2015) – Security and privacy (Safari et al., 2015) Organization (O) Key resources and nature of business – Top management support (Cho & Chan, 2015; Martins et al., 2016; Van de Weerd et al., 2016; Yang et al., 2015) – Change management ability (Seethamraju, 2015) – Sharing and collaboration culture (Safari et al., 2015) – Organizational readiness ( Van de Weerd et al., 2016) – Perceived organization resources and gov ernance (Kurnia et al., 2015) – Technology competence (Martins et al., 2016) – IT readiness (Seethamraju, 2015) – IT infrastructure (Yang et al., 2015) – IT resource (Safari et al., 2015) – Gap in IT capabilities (Cho & Chan, 2015) – Business software fit (Seethamraju, 2015) – Sales volume of SMEs (Nair et al., 2019) – Business characteristics (Martínez-Román & Romero, 2017) Environment (E) Pressures and supports that exist in the busi- – Competitive pressure (Cho & Chan, 2015; ness field Safari et al., 2015) – Normative pressure (Kung et al., 2015; Mar- tins et al., 2016) – Mimetic pressure (Kung et al., 2015) – Coercive pressures (Martins et al., 2016) – Pressure from customers (Nair et al., 2019) – Competitor pressure (Yang et al., 2015) – Partner pressure (Yang et al., 2015) – Social influence (Safari et al., 2015) – Perceived environmental pressure (Kurnia et al., 2015) Vendor ( V ) Organization that offers Cloud–SaaS and IT/ – Support and service quality (Cho & Chan, IS for SMEs 2015; Seethamraju, 2015) – Perceived supporting services (Kurnia et al., 2015) – Reputation (Seethamraju, 2015) – Co-creation of value (Seethamraju, 2015) Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 10 of 25 Table 4 (continued) Factors Description Sub–factors Owner (O) Individual who owns and operates an SME – Owners’ IT ability and knowledge (Nair business et al., 2019; R. Rahayu & Day, 2015; Taiminen & Karjaluoto, 2015) – Owners’ innovativeness (R. Rahayu & Day, 2015; Ramayah et al., 2016) – Owners’ IT attitude (Nair et al., 2019; Ramayah et al., 2016) – Owners’ attitude toward change (Alharbi et al., 2016) – Attitude of management toward ownership and control (Cho & Chan, 2015) – Owners’ perception (Al-Bakri & Katsioloudes, 2015) – Owners’ IT experience (R. Rahayu & Day, 2015) – Owners’ age (Nair et al., 2019) – Owners’ personal characteristics (Martínez- Román & Romero, 2017) Why do SMEs adopt cloud accounting? Cloud accounting in Thailand is in the early stages of adoption, as confirmed by 10 out of 11 expert and vendor informants. The existing adoption rate is estimated at 50,000–70,000 companies, or 5–10% of juristic-entity SMEs, as per the following interview extracts: Thailand has a relatively low user adoption rate. Most SMEs set their own manual accounting system or outsource accounting services. (EX4.2) SaaS is perceived as very new by Thai SMEs. Current adoption should be around 10% of juristic SMEs or 50,000 firms, so the untapped potential is very large, approximately 90%. (VE2) Respondents in our study reported that SMEs’ decision to adopt cloud accounting was triggered by perceived internal needs and problems rather than external information about cloud accounting (n = 14). However, the reasons for adoption varied; the most frequently cited were as follows: to improve efficiency (n = 7), to obtain real-time data (n = 4), and to increase mobility (n = 3), as illustrated by the following excerpts: We aim to reduce the number of workers, manual work, and paperwork in all pro- cesses. (OW1) The main reason is real-time financial data, which is normally missing. With tradi - tional accounting software, sometimes, SMEs do not even know who owe them money. With cloud accounting, they can better track accounts payable, accounts receivable, expenses, revenue, and margins in detail. (VE4) Mobility is the reason why SMEs decide to adopt cloud accounting. After sales meet- ings, SMEs can immediately issue a purchase order from their mobile or tablets and send it to the customer via the LINE application. They have no need to return to their offices. (EX5) S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 11 of 25 Table 5 Informant profile Group Informant code Role Experience Sex Age Education Expert EX1 – Managing director – 15 year experience F 40–50 Master’s degree as accountant – Using cloud accounting for SME clients and for internal use Expert EX2 – Top management in – 20 year experience M 40–50 Master’s degree government agency in IT and start-up business Expert EX3 – Academic director – 15 year experience M 40–50 Doctoral degree (PhD) of entrepreneurship in start-ups, cloud development institute accounting, digital – President of innovation, and technology-related platform strategy association – SaaS CEO/Founder Expert EX4.1 – Senior technical – 30 year experience M 50–60 N/A expert in technology for SMEs –Government officer Expert EX4.2 – Industrial analyst – 5 year experience in F 30–40 Master’s degree e-commerce for SMEs – Government officer Expert EX5 – Manager of com- – 5 year experience M 30–40 Master’s degree mercial bank that in SME banking and operates SaaS recom- insurance mender system for SMEs Vendor VE1 – CEO/founder of – Background in IT M 30–40 Master’s degree cloud accounting and small business company Vendor VE2 – CEO/founder of – Background in M 30–40 Master’s degree cloud accounting accounting company Vendor VE3 – CEO/founder of on- – Background in F 50–60 Master’s degree premise accounting accounting software and account- ing service company; cloud accounting re-seller Vendor VE4 – CEO/founder of – Background in M 40–50 Master’s degree cloud accounting and accounting accounting services company Vendor VE5 – CEO/founder of on- – Background in IT M 50–60 Master’s degree premise accounting software and cloud accounting company Owner OW1 – CEO/founder of – A few years’ experi F 30–40 Master’s degree cosmetic company ence in banking – Company aged – Experience manag 0–3 years ing others’ family – Family business business (hotel) – B2B & B2C Owner OW2 – CEO/founder of – A few years’ experi M 30–40 Master’s degree food manufacturing ence in food & bev- company erage company – Company aged 4–6 years – Family business – B2B & B2C Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 12 of 25 Table 5 (continued) Group Informant code Role Experience Sex Age Education Owner OW3 – COO/founder of – A few years’ experi F 30–40 Master’s degree food delivery service ence in international – Company aged food & beverage 4–6 years company – Startup business – B2C Owner OW4 – CFO/founder of – Experience manag M 30–40 Bachelor’s degree marketing agency ing others’ business – Company aged (food & beverage) 7–9 years – Background in – Business with engineering friends – B2B Owner OW5.1 – CEO of engine trad – Experience manag M 30–40 Bachelor’s degree ing company ing others’ family – Company aged business (Air condi- 7–9 years tioning distributors) – Family business – B2B & B2C Owner OW5.2 – CFO of engine trad – Experience manag F 30–40 Master’s degree ing company ing others’ family – Company aged business (Air condi- 7–9 years tioning distributors) – Family business – Background in – B2B & B2C finance How do SMEs start adopting cloud accounting? To facilitate the successful adoption of cloud accounting, the involvement of the SME’s owner would be critical. In Thailand, SME owners are decision makers who are proactively involved in the end-to-end adoption process—initiation, evaluation, trial, selection, and acquisition—although this practice is quite unusual in other countries. Owners’ decision-making is a nonlinear, ongoing process with several feedback loops. Before adopting new technology, they also actively seek strategic advice from exter- nal influencers, such as peers, friends, family, professional accountants, government units, and IT consultants, as well as internal influencers, such as internal accountants and co-owners. A long time ago, I had tried a cloud accounting service, but the features in those days were poor. Therefore, I abandoned the adoption plan. A couple of years later, I heard from my peers who are currently using it that the features had improved. They recommended it to me. Then, I started searching for the available cloud accounting services again and applied for a trial to see whether it fit with my company’s needs. (OW4) One of my friends recommended cloud accounting, and I signed up for the free trial and found it easy to use. I later persuaded my husband to adopt it for our company. (OW5.2) When SMEs make adoption decisions, they assess the perceived advantages of cloud accounting and the adoption costs by comparing cloud accounting with the current S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 13 of 25 arrangement or available tools, such as Microsoft Excel and on-premise accounting software. Adopters can be categorized into two groups. First, Microsoft Excel users who decide to move to proper online accounting software. Second, on-premise account- ing software users whose scope of accounting has become more complex and are looking for a new solution that better serves their needs. Both groups do some research to compare the pros and cons of the available options fit for them. ( VE2) If SMEs preferred mobility, they would choose the cloud, but if they are uncomfort- able with the monthly fee model and worry about security, they would choose on- premise software. (EX3) What are the driving factors? We evaluate the driving factors most frequently mentioned by informants (at least nine informants). Each factor has a varying influence on cloud accounting adoption, as follows: Technological context ( +) Relative advantage. In our case study, relative advantage has a positive impact on cloud accounting adoption. Most informants indicated that relative advantage is a cru- cial factor in every IT initiative that SMEs decide to pursue, including cloud account- ing. Some of these relative advantages include efficiency, accessibility, speed, accuracy, and professionalism, which ultimately lead to cost savings and improved profitability for SMEs. Below is a selection of the informants’ responses: Previously, SMEs lost important documents and wasted time searching for missing documents for the accounting service company. If SMEs store all documents on the cloud, the process of preparing financial reports and tax submissions by the account - ing service company would be quicker, easier, and less time-consuming. (EX5) I can use my smartphone to send sales quotations prepared in a professional for- mat from wherever I am. Customers often shop around, so sending a sales quotation quickly will help us get ahead of our competitors. (OW5.1) Sometimes, business owners are not aware of their current business performance and do not have a holistic view of individual customers. With cloud accounting, SME owners will have a better understanding of their current accounts receivable, accounts payable, and profitability in real time. (VE4) Compared to other accounting methods, the benefits of cloud accounting include the ability to (1) improve collaboration and information visibility between SMEs and the accounting service company, (2) issue purchasing orders and invoices to custom- ers, record business expenses, and receive payments anywhere and at any time, and (3) access up-to-date information on financial performance and the customer. Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 14 of 25 (-) Complexity. Although the adoption of digital technologies by SMEs is considered complex in many countries, the situation in Thailand is much more difficult, as many of our informants noted. This is because Thai SMEs are in the early stages of IT-ena - bled business transformation. The informants stated that the vast majority of Thai SMEs preferred traditional methods of recording accounting transactions, prepared by their outsourced or internal accountants. Early adopter SMEs typically relied on external con- sultants, such as accounting service companies, peers, and vendors when adopting cloud accounting. They perceived cloud accounting as involving a “user-friendly interface,” “easy deployment and maintenance,” and “less work of preparing budgets, financial state - ments, and cash flow statements,” as illustrated by the following excerpts: A simple usable UX/UI is one of my top selection criteria. (OW2) Cloud accounting makes accounting easy for the company without a dedicated accountant or accounting experience. (OW3) In particular, informants noted that the perception of complexity was inversely related to SMEs’ extent of experiences with other cloud-based solutions and digital technologies in general. ( +) Compatibility. Herein, compatibility refers to the degree to which cloud accounting, as an innovation, is seen as consistent with the existing values, needs, and past expe- riences of SMEs. Several informants confirmed the importance of introducing digital- enabled business practices that are compatible with current organizational practices. There are different needs within the SME segment; therefore, cloud accounting has been adapted in different ways based on the size and scope of operations, as illustrated in the following excerpt: Cloud accounting is typically for SMEs with a non-complex business model, such as a trading company, general service company, or small agency. It is not suitable for companies with many subsidiaries that need to comply with advanced accounting rules. Therefore, in my case, I use cloud accounting for quotations and invoice pro - cessing only. My accountancy team handles accounting separately to ensure accu- racy in financial statements. (OW4) Based on the interviews, the following three conditions within firms are identified as particularly well-suited to embracing cloud accounting: (1) having a simple business structure and operations, (2) being equipped with computer and Internet access, (3) and engaging with accounting service companies that have adopted automation and cloud accounting software. Organizational context ( ±) Firm characteristics. In this study, the term “firm characteristics” refers to firm size and nature of business. Firm size is defined by the number of employees and annual rev - enue, whereas nature of business refers to industry type, the business model, geographi- cal scope, and taxation requirements. Below is a selection of the informants’ responses on the firm characteristics that influence adoption: S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 15 of 25 In case of mom-and-pop stores, they do not benefit from cloud accounting. However, if they want to grow the business or set a company standard, cloud accounting is the best fit for their businesses. (EX2) Most adopters are juristic-entity SMEs, because they are required by Thai law to file and pay monthly taxes. If they are late or fail to meet a required legal obligation, penalties will apply immediately. (VE1) Most adopters are business-to-business (B2B) SMEs that operate nationwide. SME owners use cloud accounting for tracking salesperson records and available stock with greater ease. (EX1) In general, the informants concluded that cloud accounting is relatively important for the trading and service-type industries. Registered SMEs, B2B SMEs, and SMEs with a wider geographic presence were more willing to adopt cloud accounting. ( ±) Technology competence. Technology competence refers to three aspects: (1) digi- tal technology knowledge—the degree to which SMEs realize the ability of existing and emerging digital technology, (2) digital technology utilization—the extent to which SMEs employ digital technology to enhance their effectiveness and decision-making, and (3) digital technology facility—a set of tools that contribute to SMEs’ digital technol- ogy utilization. We find that prior experiences and success in digital technology adop - tion are a source of digital technology knowledge and increase its utilization. At present, cloud accounting relies mainly on having an Internet connection and Internet-enabled devices. Poor and slow Internet connections can affect the work methods of rural SMEs. SMEs that rarely use technology are reluctant to adopt cloud accounting. (VE3) They selected SaaS, because they have limited technology competence. (VE4) This study portrays two different views on technology competence. On the one hand, it is believed that cloud accounting fits SMEs particularly well as they usually have lim - ited technology competence and resources (n = 9). On the other hand, some informants argue that if the level of technology competence in SMEs is too low—if they have no computer or Internet access—cloud accounting adoption is simply not possible (n = 8). Environment ( +) Coercive pressure. At present, Thai government agencies, such as the Digital Econ - omy Promotion Agency, Department of Industrial Promotion, and Department of Busi- ness Development are consistently promoting and enforcing digital technology adoption among SMEs. This is done through government policies, such as a 200% tax deduc - tion scheme up to 100,000 THB for the purchase of digital technology (including cloud accounting), a grant of up to 10,000 THB to support SMEs’ software purchasing needs— including fees for cloud accounting, software training, and consultation—and a free e-accounting program for SMEs and electronic tax return filing platforms, as confirmed by the following quotes: Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 16 of 25 Right now, we use webinars to connect with SMEs. Before the COVID-19 pandemic, we arranged face-to-face consultations with SMEs seeking software-related advice and government grant information. This year, we have 3,500 grants available, val - ued up to 10,000 THB each. (EX2) Government policy increasingly favors SaaS adoption in SMEs; for instance, the DBD e-filing system—submitting financial statements of a company established under Thai law online. (VE3) According to expert groups, coercive forces are mainly triggered by regulations associated with tax-related benefits and government sponsorship. However, vendor and owner groups perceived current government support as being less attractive and rather proposed promotion of long-term cloud accounting usage, such as speedy and streamlined loan scheme applications for SMEs that periodically synchronize their financial information with the cloud accounting platform. ( +) Normative pressure. In this research, sources of normative pressure include indus- try norms and customer expectations. These norms were created through training, social networks, and professional processes. Some informants mentioned that norma- tive pressure could also be traced to other bodies that have successfully employed cloud accounting. People in the digital startup industry have a sense of getting it done fast and online only. That’s why I chose cloud accounting since Day 1. (OW3) First, the owners attended SME trainings and seminars. Then, they realized the importance of digital tools and finally asked us for an adoption consultation. (EX4.1) ( +) Mimetic pressure. Some SMEs felt pressure to adopt cloud accounting, typically because of its adoption by their competitors or other similar organizations. Our inform- ants determined that mega trends and competitive intensity also encourage SMEs to adopt cloud accounting. As increasing numbers of SMEs adopt cloud accounting dur- ing the COVID-19 pandemic, mimetic pressure to change will increase rapidly for those who do not. SMEs were forced to adopt cloud accounting due to mega trends, such as globali- zation and competitive rivalry among the firms in an industry. ( VE4). After reviewing the vendor’s website, I felt its targets SMEs similar to mine. If oth- ers can use it, I should use it, too. (OW2) This finding further indicates that pressure from competitors is more impactful than that from other stakeholders. ( +) COVID-19 pressure. All informants perceived that the COVID-19 pandemic has accelerated the digital transformation of SMEs. Cloud accounting awareness and S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 17 of 25 adoption has been consistently increasing post-COVID-19. Interviewee comments often highlighted that SMEs with cloud accounting have been able to adapt readily to the lock- down, while others are unable to operate effectively. As mentioned by informants, cloud accounting can help in avoiding physical contact, accessing up-to-date financial infor - mation remotely, and integrating with other systems, such as e-commerce platforms, payroll, and warehouse management. The adoption is rising. SMEs want to use cloud accounting as soon as possible, because they saw that their competitors who already adopted cloud accounting could run their business more smoothly during the COVID-19 lockdown. (EX2) COVID-19 and work-from-home policies are raising the awareness of SMEs who are using on-premise software. ( VE4) The informants concluded that the ongoing COVID-19 pandemic has pushed SMEs to opt for remote working, and cloud accounting has contributed to maintaining business continuity in this period. Vendor ( +) Vendor support and service quality. Cloud accounting vendors provide more than software and hardware; they also deliver expertise in a specific accounting area that SMEs feel can augment their accounting knowledge, process, and system. Vendor sup- port and service quality refer to vendor promotion, training workshops, and technical support. In Thailand, online and offline training is regularly provided by local vendors: I think SMEs decide based on vendor support and functionality. Old SMEs in par- ticular prefer a vendor that can answer their questions and resolve their issues quickly. (EX2) I first chose this vendor because of special promotion—50% discount, equal to just 3,000 THB per year. It is not expensive for an initial-stage business-like mine. (OW1) Vendor support and service quality are key considerations, since adopting cloud accounting requires strong commitment between the vendor and SMEs. (VE5) The interview outcomes indicate that cloud accounting vendors play an important role in helping SMEs to implement cloud accounting and facilitating their use of this tech- nology while aiding resolution of both technical and accounting issues. Owner ( +) Owner’s support. In our study, the decision to adopt cloud accounting made entirely by SME owners, who usually make all business decisions, from daily operations to future investments. To facilitate successful implementation, SME owners are proactively involved in the adoption process, including the initiation, evaluation, trial, selection, and acquisition of software. Proactive owners are convinced of the benefits of cloud account - ing, and likely to support it. Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 18 of 25 Owner’s participation and strong desire to use are key contributors to the digital technology adoption success within SMEs. (EX4.2) The owner is the key decision maker to adopt or not adopt cloud accounting. (OW1) All six SME owners who were involved in the entire adoption process perceived cloud accounting adoption and usage positively. ( +) Owner’s attitude. Attitude toward change is related to owners’ change competency, such as taking risks, emphasizing goal achievement, and being socially active. SME owners that have a greater tolerance for risk and change are more likely to accept cloud accounting. For instance, OW3 was a visionary and passionate about the future direc- tion of her business. She was a risk taker, judging by her decision to adopt Xero, a New Zealand-based cloud accounting provider not commonly used in Thailand. Six years ago, we decided to use cloud accounting though there was only Xero avail- able. We are possibly the first Thai user of Xero. (OW3) The owner’s positive attitude toward change is critical. If the owner prefers not to change, new technology adoption is not possible. (OW4) Ten out of seventeen informants believed that the SME owner’s attitude was critical for any IT/IS adoption success, including cloud accounting. ( +) Owner’s innovativeness. Owner’s innovativeness appears to be another determinant of cloud accounting adoption. Innovative owners prefer to apply distinctive and risky solutions, such as cloud accounting that modify the traditional structure. As all owner informants mentioned, they always seek, support, and contribute to innovative activi- ties, which results in enhancing the firm’s efficiency and competitiveness. New technol - ogy and research and development (R&D) are common in these firms. To support operation, we develop our own task-tracking software on the cloud for internal and customer use. We never use the local server in any areas. (OW4) Owners’ innovativeness is very important. If they are tech-savvy, they normally choose online, rather than offline solutions. (VE2) These results suggest that the innovativeness of the owner influences the cloud accounting adoption decision in SMEs. Discussion In this section, we first discuss why and how SMEs adopt cloud accounting in Thailand and then elaborate on the influence of the TOEVO factors on cloud accounting adoption. Why SMEs adopt cloud accounting Before examining why SMEs adopt cloud accounting, it is worthwhile understanding the state of cloud accounting in developing countries, particularly in Thailand. Our study indicates that most Thai SMEs did not use cloud accounting before the COVID-19 S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 19 of 25 pandemic. They were reluctant to adopt cloud accounting due to their reliance on tradi - tional processes centered around paperwork and desktop-based software. This is in line with Nyathi et al. (2018), who found that 81% of SMEs in Zimbabwe use manual record- keeping systems and Harash (2017), finding that most Iraqi SMEs have not adopted proper accounting information systems. Our cross-case analysis indicates that the intention to adopt cloud accounting was ini- tially triggered by internal needs to improve business activities, rather than by external factors. The key rationales are to improve efficiency through lower operating costs and reduced error, stay competitive in a data-driven world, and increase mobility in response to the pandemic. As a top priority, SMEs’ higher efficiency is derived from lower man - ual workload, no upfront IT investment, fewer workers, and minimized paperwork, as well as online collaboration between co-owners, SMEs and customers, and SMEs and accounting service companies. This is a key rationale in developing countries and has also been reported in other IT/IS adoption studies (u H Th a et al., 2020). How SMEs adopt cloud accounting We find that, unlike large established organizations, SMEs take an informal adoption approach to cloud accounting. This finding is aligned to that of Carcary et  al. (2014), which states that SMEs do not emphasize creating or utilizing proper cloud readiness assessment criteria. Moreover, as SMEs are smaller and family- or friends-owned busi- nesses, the owners normally make all decisions based on their individual traits, including attitude, knowledge, and experience. Key owner traits are owners’ innovativeness and their attitude toward change. This observation confirms the findings of previous cloud and SME technology adoption studies (Alharbi et al., 2016; Cho & Chan, 2015; Rahayu & Day, 2015; Ramayah et al., 2016; Seethamraju, 2015). During the adoption process, SME owners use the Internet to investigate which tool would suit their situation, review its accounting functionality (including user experience and user interface), and then compare costs with other available tools. For micro and small businesses, low price and ease of use are more important than complete function- ality. These results are in line with the findings of Levenburg (2005). Although price is an SME priority, financial constraints for cloud accounting and other IT-related resources is of lesser concern. Our finding contradicts that of other SME IT/IS adoption studies that financial constraints are one of main IT/IS implementation challenges in develop - ing countries (Apulu et al., 2011; Hernandez, 2020; Kabanda et al., 2018). This is because cloud accounting platforms offer affordable pay-per-use services with flexible payment options, allowing SMEs to pay only for the functions they need, making it a cost-effec - tive solution (Kim et al., 2017). This study shows that SME owners are not only decision makers but also initiators, trial users, evaluators, and executors during the adoption process, confirming that owner commitment is essential in the implementation of accounting-related informa- tion systems (Rahayu, 2012). Furthermore, we found that owners’ adoption decisions were also influenced by various stakeholders, such as peers, friends, family, professional accountants, government units, vendors, and IT consultants, both online and offline. Similarly, Nguyen et al. (2015) show that the assistance of external IT experts during the adoption process helps to reduce failure risk within SMEs. Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 20 of 25 Fig. 1 HYPERLINK "sps:id::fig1||locator::gr1||MediaObject::0" Technology–organization–environment–vendor– owner–cloud accounting adoption framework for small and medium enterprises Conceptual model based on TOEVO factors The study’s findings reveal that vendor, owner, technological, organizational, and envi - ronmental factors have a positive effect on cloud accounting adoption in SMEs. An integrated conceptual model through the lens of extended TOE–DOI–INT, depicting the relationship between relevant factors and SMEs’ decision to adopt cloud accounting, is presented in Fig. 1. With regard to the environment, all determinants confirmed the findings of previous IT/IS adoption studies (Kung et al., 2015; Martins et al., 2016), except for pressure from the COVID-19 pandemic, which is an additional determinant identified by this study. Our findings indicate that work-from-home arrangements and the national lockdown have accelerated the demand for cloud-based solutions from SMEs, especially cloud accounting. This is in line with outcomes of a recent survey, which confirmed that the COVID-19 pandemic has become a more important determinant in SMEs’ cloud-spe- cific purchasing decisions since 2020 (International Trade Center, 2020). Vendor support and service quality are important factors from our study that align with a previous study conducted by Lewandowski et  al. (2013), who noted that vendor support during and after implementation proved valuable to SMEs. Furthermore, cloud accounting vendors often understand SMEs’ unique needs and, therefore, target their marketing toward adoption by SMEs. This finding contradicts Stockdale and Standing (2004), who indicate that SMEs face obstacles as IT vendors often restrict their market- ing to larger firms. Conclusions and implications In terms of theoretical implications, this is presumably the first study to explore cloud accounting adoption after the COVID-19 pandemic. By integrating TOE, DOI, INT, and extended factors, this study has shown that five aspects—technological, organizational, S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 21 of 25 environmental, vendor-, and owner-related—are interconnected and affect SMEs’ adop - tion and use of cloud accounting in the COVID-19 context. This paper triangulates sources of information, including experts, vendors, and owners, to better understand the organizational context of SMEs. Thus, it contributes to theory regarding cloud comput - ing adoption and SMEs. Furthermore, this paper provides significant practical implications for the research community, policymakers, cloud accounting vendors, and SME owners, in terms of formulating better approaches for cloud accounting adoption after the COVID-19 pan- demic. The results suggest that policymakers can promote cloud accounting adoption along with faster loan scheme applications, rather than tax benefit policies (see Coer - cive pressure). Moreover, vendors should focus on SMEs’ particular characteristics and needs. By contrast, SMEs should determine the organizational fit of the cloud account - ing platform and utilize cloud accounting to its full potential, for instance, in cashflow management and integration with other cloud-based open platforms for inventory man- agement, e-commerce platforms, and point-of-sale software. As cloud accounting is relatively new in Thailand, this study focuses on its adoption and initial usage by SMEs. For future research, these findings are potentially transfer - able to other types of organizations and beyond the geographic restrictions explored ini- tially. That is, to address this study’s limitations, the TOEVO framework developed here requires further investigation and testing using larger sample sizes, a broader range of SME characteristics (e.g., different organizational size and nature of business), and more locations. Future studies might also examine the diffusion of cloud accounting across time, given that factors influencing initial adoption could possibly change during the routinization and infusion stages. Author contributions All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by DS. The first draft of the manuscript was written by DS and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. Authors’ information Dalinee Sastararuji is PhD Candidate at Chulalongkorn University. She has experience in digital banking for retail and SMEs. Her research interests are technology management, innovation management, and entrepreneurship. Danupol Hoonsopon is currently an Assistant Professor of Marketing and Director of CBS Academy. He holds a DBA in Market- ing from Chulalongkorn University, Thailand. His current research interests are new product development, innovation management, and market research. Pongsakorn Pitchayadol is an Assistant Professor of Marketing at Prince of Songkla University, Thailand. He holds a PhD from Chulalongkorn University, Thailand, specializing in technology and innovation management. His current research interests include marketing, entrepreneurship, and innovation. Pimsiri Chiwamit is an Assistant Professor of Accounting at Chulalongkorn University, Thailand. She holds Doctor of Philosophy (Accounting) from University of Manchester, UK. Her research interest is management accounting. Availability of data and materials All data generated or analyzed during this study are included in this published article and its supplementary information files. Declarations Competing interests This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Received: 24 September 2021 Accepted: 9 January 2022 Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 22 of 25 References Alam, S. S., Ali, M. Y., & Mohd. Jani, M. F. (2011). An empirical study of factors affecting electronic commerce adoption among SMEs in Malaysia. Journal of Business Economics and Management, 12(2), 375–399. Alamin, A. A., Wilkin, C. L., Yeoh, W., & Warren, M. (2020). The impact of self-efficacy on accountants’ behavioral intention to adopt and use accounting information systems. Journal of Information Systems, 34(3), 31–46. https:// doi. org/ 10. 2308/ isys- 52617 Al-Bakri, A. A., & Katsioloudes, M. I. (2015). The factors affecting e-commerce adoption by Jordanian SMEs. Management Research Review, 38, 726–749. https:// doi. org/ 10. 1108/ mrr- 12- 2013- 0291 Albulescu, C. (2020). Coronavirus and financial volatility: 40 days of fasting and fear. SSRN Electronic Journal. https:// doi. org/ 10. 2139/ ssrn. 35506 30 Alharbi, F., Atkins, A., & Stanier, C. (2016). Understanding the determinants of Cloud Computing adoption in Saudi health- care organisations. Complex & Intelligent Systems, 2, 155–171. https:// doi. org/ 10. 1007/ s40747- 016- 0021-9 Alkhalil, A., Sahandi, R., & John, D. (2017). An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model. Journal of Cloud Computing. https:// doi. org/ 10. 1186/ s13677- 016- 0072-x Alkhater, N., Walters, R., & Wills, G. (2018). An empirical study of factors influencing cloud adoption among private sector organisations. Telematics and Informatics, 35(1), 38–54. https:// doi. org/ 10. 1016/j. tele. 2017. 09. 017 Alshamaila, Y., Papagiannidis, S., & Li, F. (2013). Cloud computing adoption by SMEs in the north east of England. Journal of Enterprise Information Management, 26, 250–275. https:// doi. org/ 10. 1108/ 17410 39131 13252 25 Apulu, I., Latham, A., & Moreton, R. (2011). Factors affecting the effective utilisation and adoption of sophisticated ICT solutions. Journal of Systems and Information Technology, 13(2), 125–143. https:// doi. org/ 10. 1108/ 13287 26111 11359 Awa, H. O., & Ukoha, O. (2017). Revisiting technology-organization-environment ( T-O-E) theory for enriched applicability. Bottom Line, 30(1), 2–22. https:// doi. org/ 10. 1108/ BL- 12- 2016- 0044 Berisha, G., & Pula, J. (2015). Defining small and medium enterprises: a critical review. Academic Journal of Business, Admin- istration, Law and Social Sciences, 1(1), 17–28. Beynon-Davies, P., & Williams, M. (2003). The diffusion of information systems development methods. The Journal of Strategic Information Systems, 12(1), 29–46. https:// doi. org/ 10. 1016/ S0963- 8687(02) 00033-1 Bull, C. (2003). Strategic issues in customer relationship management (CRM) implementation. Business Process Manage- ment Journal, 9(5), 592–602. https:// doi. org/ 10. 1108/ 14637 15031 04967 03 Carcary, M., Doherty, E., Conway, G., & McLaughlin, S. (2014). Cloud computing adoption readiness and benefit realization in Irish SMEs—an exploratory study. Information Systems Management, 31(4), 313–327. https:// doi. org/ 10. 1080/ 10580 530. 2014. 958028 Cho, V., & Chan, A. (2015). An integrative framework of comparing SaaS adoption for core and non-core business opera- tions: an empirical study on Hong Kong industries. Information Systems Frontiers, 17, 629–644. https:// doi. org/ 10. 1007/ s10796- 013- 9450-9 Chouki, M., Talea, M., Okar, C., & Chroqui, R. (2020). Barriers to information technology adoption within small and medium enterprises: A systematic literature review. International Journal of Innovation and Technology Management. https:// doi. org/ 10. 1142/ s0219 87702 05000 78 Christauskas, C., & Miseviciene, R. (2012). Cloud-computing based accounting for small to medium sized business. Engi- neering Economics. https:// doi. org/ 10. 5755/ j01. ee. 23.1. 1220 Das, S., & Dayal, M. (2016). Exploring determinants of cloud-based enterprise resource planning (ERP) selection and adoption: A qualitative study in the Indian education sector. Journal of Information Technology Case and Application Research, 18(1), 11–36. https:// doi. org/ 10. 1080/ 15228 053. 2016. 11607 33 Dimaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160. https:// doi. org/ 10. 2307/ 20951 01 Dimitriu, O., & Matei, M. (2015). Cloud accounting: A new business model in a challenging context. Procedia Economics and Finance, 32, 665–671. https:// doi. org/ 10. 1016/ S2212- 5671(15) 01447-1 Dmour, A., Aldmour, R., & Masa’deh, R. E. (2016). Interrelated factors influencing the adoption decision of AIS applications by SMEs in Jordan. International Business Research, 9, 46. https:// doi. org/ 10. 5539/ ibr. v9n10 p46 Đorđević, M., Radovic, O., & Bonić, L. (2018). Potentials for applying cloud technology in accounting. Ekonomika, 64(3), 23–30. https:// doi. org/ 10. 5937/ ekono mika1 80302 3D Eze, S. C., Chinedu-Eze, V. C., Bello, A. O., Inegbedion, H., Nwanji, T., & Asamu, F. (2019). Mobile marketing technology adop- tion in service SMEs: A multi-perspective framework. Journal of Science and Technology Policy Management, 10(3), 569–596. https:// doi. org/ 10. 1108/ JSTPM- 11- 2018- 0105 Felix, B. T., & Hunter, M. G. (2002). The repertory grid technique: A method for the study of cognition in information systems. MIS Quarterly, 26, 39–57. https:// doi. org/ 10. 2307/ 41323 40 Fitriasari, F. (2020). How do small and medium enterprise (SME) survive the COVID-19 outbreak? Jurnal Inovasi Ekonomi. https:// doi. org/ 10. 22219/ jiko. v5i3. 11838 Halabí, C. E., & Lussier, R. (2014). A model for predicting small firm performance: Increasing the probability of entrepre - neurial success in Chile. Journal of Small Business and Enterprise Development, 21(1), 4–25. https:// doi. org/ 10. 1108/ JSBED- 10- 2013- 0141 Harash, E. (2017). Accounting performance of SMEs and effect of accounting information system: a conceptual model. Global Journal of Management and Business Research. Retrieved from https:// journ alofb usine ss. org/ index. php/ GJMBR/ artic le/ view/ 2342. Harvie, C., & Lee, B.-C. (2002). The role of SMEs in national economies in East Asia. Edward Elgar Publishing. Hernandez, A. A. (2020). Exploring the factors to green IT adoption of SMEs in the Philippines. IGI Global. Hiran, K. K., & Henten, A. (2020). An integrated TOE–DoI framework for cloud computing adoption in the higher educa- tion sector: case study of Sub-Saharan Africa, Ethiopia. International Journal of System Assurance Engineering and Management, 11, 441–449. https:// doi. org/ 10. 1007/ s13198- 019- 00872-z S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 23 of 25 Hoonsopon, D., & Puriwat, W. (2019). Organizational agility: Key to the success of new product development. IEEE Transac- tions on Engineering Management, 68(6), 1722–1733. https:// doi. org/ 10. 1109/ TEM. 2019. 29295 00 Hoonsopon, D., & Puriwat, W. (2021). The role of leadership behaviour of project manager in managing the fuzzy front end in the development of radical and incremental innovation. International Journal of Innovation Management. https:// doi. org/ 10. 1142/ s1363 91962 15002 25 Idc-Cisco. (2020). 2020 Asia Pacific SMB digital maturity study. Retrieved from https:// www. cisco. com/c/ en_ sg/ solut ions/ small- busin ess/ digit almat urity- 2020. html International Trade Center. (2020). SME Competitiveness Outlook 2020: COVID-19: The Great Lockdown and its Impact on Small Business. Retrieved from https:// www. intra cen. org/ uploa dedFi les/ intra cenorg/ Conte nt/ Publi catio ns/ ITCSM ECO20 20. pdf Ionescu, L. (2019). Big data, blockchain, and artificial intelligence in cloud-based accounting information systems. Analysis and Metaphysics, 18, 44–49. https:// doi. org/ 10. 22381/ AM182 0196 Kabanda, S., Tanner, M., & Kent, C. (2018). Exploring SME cybersecurity practices in developing countries. Journal of Organ- izational Computing and Electronic Commerce, 28(3), 269–282. https:// doi. org/ 10. 1080/ 10919 392. 2018. 14845 98 Khanom, T. (2017). Cloud accounting: A theoretical overview. IOSR Journal of Business and Management, 19(6), 31–38. https:// doi. org/ 10. 9790/ 487X- 19060 53138 Khayer, A., Talukder, M. S., Bao, Y., & Hossain, M. N. (2020). Cloud computing adoption and its impact on SMEs’ perfor- mance for cloud supported operations: A dual-stage analytical approach. Technology in Society. https:// doi. org/ 10. 1016/j. techs oc. 2019. 101225 Kim, S. H., Jang, S. Y., & Yang, K. H. (2017). Analysis of the determinants of software-as-a-service adoption in small busi- nesses: Risks, benefits, and organizational and environmental factors. Journal of Small Business Management, 55(2), 303–325. https:// doi. org/ 10. 1111/ jsbm. 12304 Kumar, A., & Ayedee, N. (2021). Technology adoption: A solution for SMEs to overcome problems during COVID19. Acad- emy of Marketing Studies Journal, 25(1), 1–16. Kung, L., Cegielski, C. G., & Kung, H.-J. (2015). An integrated environmental perspective on software as a service adoption in manufacturing and retail firms. Journal of Information Technology, 30(4), 352–363. https:// doi. org/ 10. 1057/ jit. 2015. Kurnia, S., Choudrie, J., Mahbubur, R. M., & Alzougool, B. (2015). E-commerce technology adoption: A Malaysian grocery SME retail sector study. Journal of Business Research, 68(9), 1906–1918. https:// doi. org/ 10. 1016/j. jbusr es. 2014. 12. 010 Levenburg, N. M. (2005). Does size matter? Small firms’ use of e-business tools in the supply chain. Electronic Markets, 15(2), 94–105. https:// doi. org/ 10. 1080/ 10196 78050 00837 46 Levy, M., Powell, P., & Yetton, P. (2001). SMEs: Aligning IS and the strategic context. Journal of Information Technology, 16(3), 133–144. https:// doi. org/ 10. 1080/ 02683 96011 00636 72 Lewandowski, J., Salako, A. O., & Garcia-Perez, A. (2013). SaaS enterprise resource planning systems: Challenges of their adoption in SMEs. Paper presented at the 2013 IEEE 10th International Conference on e-Business Engineering, Coventry, UK. Loecher, U. (2000). Small and medium-sized enterprises—delimitation and the European definition in the area of industrial business. European Business Review, 12(5), 261–264. https:// doi. org/ 10. 1108/ 09555 34001 03735 37 Lopez-Nicolas, C., & Soto-Acosta, P. (2010). Analyzing ICT adoption and use effects on knowledge creation: An empiri- cal investigation in SMEs. International Journal of Information Management, 30(6), 521–528. https:// doi. org/ 10. 1016/j. ijinf omgt. 2010. 03. 004 Lune, H., & Berg, B. L. (2017). Qualitative research methods for the social sciences (9th ed.). Pearson. Lyytinen, K., & Damsgaard, J. (2001). What’s wrong with the diffusion of innovation theory? Springer. Marand, A. A., Marand, E. A., & Dashtebayaz, M. L. (2013). Investigating the effects of cloud computing on account - ing and its comparison with traditional models. Advances in Environmental Biology, 7(10), 2836. Retrieved from https:// link. gale. com/ apps/ doc/ A4405 51555/ AONE?u= chula & sid= AONE& xid= 0096b 22f Martínez-Román, J. A., & Romero, I. (2017). Determinants of innovativeness in SMEs: Disentangling core innovation and technology adoption capabilities. Review of Managerial Science, 11(3), 543–569. https:// doi. org/ 10. 1007/ s11846- 016- 0196-x Martins, R., Oliveira, T., & Thom, M. (2016). An empirical analysis to assess the determinants of SaaS diffusion in firms. Computers in Human Behavior, 62, 19–33. https:// doi. org/ 10. 1016/j. chb. 2016. 03. 049 Mole, K. F., Ghobadian, A., O’Regan, N., & Liu, J. (2004). The use and deployment of soft process technologies within UK manufacturing SMEs: An empirical assessment using logit models. Journal of Small Business Management, 42(3), 303–324. https:// doi. org/ 10. 1111/j. 1540- 627X. 2004. 00113.x Nair, J., Chellasamy, A., & Singh, B. N. B. (2019). Readiness factors for information technology adoption in SMEs: Testing an exploratory model in an Indian context. Journal of Asia Business Studies, 13(4), 694–718. https:// doi. org/ 10. 1108/ JABS- 09- 2018- 0254 Nguyen, T. H., Newby, M., & Macaulay, M. J. (2015). Information technology adoption in small business: Confirmation of a proposed framework. Journal of Small Business Management, 53(1), 207–227. https:// doi. org/ 10. 1111/ jsbm. Nyathi, K., Nyoni, T., Nyoni, M., & Bonga, W. G. (2018). The role of accounting information in the success of small & medium enterprises (SMEs) in Zimbabwe: A case of harare. Journal of Business and Management (DRJ-JBM), 1(1), 1–15. Oliveira, T., & Martins, M. F. (2010). Firms patterns of e-business adoption: Evidence for the European Union-27. Electronic Journal of Information Systems Evaluation, 13(1), 47–56. Oliveira, T., Martins, R., Sarker, S., Thomas, M., & Popovič, A. (2019). Understanding SaaS adoption: The moderating impact of the environment context. International Journal of Information Management, 49, 1–12. https:// doi. org/ 10. 1016/j. ijinf omgt. 2019. 02. 009 Oni, O., & Papazafeiropoulou, A. (2014). Diverse views on IT innovation diffusion among SMEs: Influencing factors of broadband adoption. Information Systems Frontiers, 16, 729–747. https:// doi. org/ 10. 1007/ s10796- 012- 9384-7 Sastararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 24 of 25 Organization for Economic Cooperation & Development. (2021). The digital transformation of SMEs. Retrieved from doi:https:// doi. org/ 10. 1787/ bdb92 56a- en Papadopoulos, T., Baltas, K. N., & Balta, M. E. (2020). The use of digital technologies by small and medium enterprises during COVID-19: Implications for theory and practice. International Journal of Information Management, 55, 102192. https:// doi. org/ 10. 1016/j. ijinf omgt. 2020. 102192 Parker, C. M., & Castleman, T. (2009). Small firm e-business adoption: A critical analysis of theory. Journal of Enterprise Information Management, 22(1/2), 167–182. https:// doi. org/ 10. 1108/ 17410 39091 09328 12 Pitchayadol, P., Hoonsopon, D., Chandrachai, A., & Triukose, S. (2018). Innovativeness in Thai family SMEs: An exploratory case study. Journal of Small Business Strategy, 28(1), 38–48. Retrieved from https:// libjo urnals. mtsu. edu/ index. php/ jsbs/ artic le/ view/ 1081 Puriwat, W., & Hoonsopon, D. (2021). Cultivating product innovation performance through creativity: The impact of organizational agility and flexibility under technological turbulence. Journal of Manufacturing Technology Manage - ment. https:// doi. org/ 10. 1108/ JMTM- 10- 2020- 0420 Rahayu, R., & Day, J. (2015). Determinant factors of E-commerce adoption by SMEs in developing country: Evidence from Indonesia. Procedia - Social and Behavioral Sciences, 195, 142–150. https:// doi. org/ 10. 1016/j. sbspro. 2015. 06. 423 Rahayu, S. K. (2012). The factors that support the implementation of accounting information system: A survey in Band- ung and Jakarta s taxpayer offices. Journal of Global Management, 4(1), 25–52. Rahman, M. S. (2017). The advantages and disadvantages of using qualitative and quantitative approaches and methods in language “testing and assessment” research: A literature review. Journal of Education and Learning, 6(1), 102–112. https:// doi. org/ 10. 5539/ jel. v6n1p 102 Ramayah, T., Ling, N. S., Taghizadeh, S. K., & Rahman, S. A. (2016). Factors influencing SMEs website continuance intention in Malaysia. Telematics and Informatics, 33(1), 150–164. https:// doi. org/ 10. 1016/j. tele. 2015. 06. 007 Rindasu, S.-M. (2017). Emerging information technologies in accounting and related security risks—What is the impact on the Romanian accounting profession. Journal of Accounting and Management Information Systems, 16(4), 581–609. Retrieved from https:// EconP apers. repec. org/ RePEc: ami: journl: v: 16:y: 2017:i: 4:p: 581- 609 Rogers, E. M. (2010). Diffusion of innovations (4th ed.). Simon and Schuster. Romney, M., Steinbart, P., Mula, J., McNamara, R., & Tonkin, T. (2012). Accounting information systems (Australasian). Pearson Higher Education. Safari, F., Safari, N., & Hasanzadeh, A. (2015). The adoption of software-as-a-service (SaaS): Ranking the determinants. Journal of Enterprise Information Management, 28(3), 400–422. https:// doi. org/ 10. 1108/ jeim- 02- 2014- 0017 Salahshour Rad, M., Nilashi, M., & Mohamed Dahlan, H. (2018). Information technology adoption: A review of the literature and classification. Universal Access in the Information Society, 17, 361–390. https:// doi. org/ 10. 1007/ s10209- 017- 0534-z Scott, W. R., & Christensen, S. (1995). The institutional construction of organizations: International and longitudinal studies. Seethamraju, R. (2015). Adoption of software as a service (SaaS) enterprise resource. Information Systems Frontiers, 17, 475–492. https:// doi. org/ 10. 1007/ s10796- 014- 9506-5 Senyo, P. K., Addae, E., & Boateng, R. (2018). Cloud computing research: A review of research themes, frameworks, meth- ods and future research directions. International Journal of Information Management, 38(1), 128–139. https:// doi. org/ 10. 1016/j. ijinf omgt. 2017. 07. 007 Stockdale, R., & Standing, C. (2004). Benefits and barriers of electronic marketplace participation: An SME perspective. Journal of Enterprise Information Management, 17(4), 301–311. https:// doi. org/ 10. 1108/ 17410 39041 05487 15 Strusani, D., & Houngbonon, V. G. (2020). The impact of COVID-19 on disruptive technology adoption in emerging markets. Retrieved from https:// www. ifc. org/ wps/ wcm/ conne ct/ 537b9 b66- a35c- 40cf- bed8- 6f618 c4f63 d8/ 202009- COVID- 19- Impact- Disru ptive- Tech- EM. pdf? MOD= AJPER ES& CVID= njn5x G9 Taiminen, M., & Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enter- prise Development, 22(4), 633–651. https:// doi. org/ 10. 1108/ JSBED- 05- 2013- 0073 The Office of SMEs Promotion. (2020). Definition of MSMEs. Retrieved from https:// www. sme. go. th/ en/ page. php? modul ekey= 363 Thu Ha, L. T., Minh Huyen, L. T., Thu Huong, L. T., & Hoang Linh, L. N. (2020). The influence of organizational factors to software-as-a-service (SAAS) adoption in Vietnamese Enterprises. VNU Journal of Science: Policy and Management Studies, 36(2), 52–69. https:// doi. org/ 10. 25073/ 2588- 1116/ vnupam. 4223 Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). The processes of technological innovation. Lexington Books. UNIDO. (2020). Impact assessment of COVID-19 on Thai Industrial Sector. Retrieved from https:// www. unido. org/ sites/ defau lt/ files/ files/ 2020- 06/ Impac ts_ of_ COVID 19_ on_ Thai_ indus trial_ sector_ 0. pdf Van de Weerd, I., Mangula, I. S., & Brinkkemper, S. (2016). Adoption of software as a service in Indonesia: Examining the influence of organizational factors. Information & Management, 53(7), 915–928. https:// doi. org/ 10. 1016/j. im. 2016. 05. Viriyasitavat, W., & Hoonsopon, D. (2019). Blockchain characteristics and consensus in modern business processes. Journal of Industrial Information Integration, 13, 32–39. https:// doi. org/ 10. 1016/j. jii. 2018. 07. 004 Viriyasitavat, W., Xu, L. D., Bi, Z., & Hoonsopon, D. (2019). Blockchain technology for applications in internet of things— Mapping from system design perspective. IEEE Internet of Things Journal, 6(5), 8155–8168. https:// doi. org/ 10. 1109/ JIOT. 2019. 29258 25 Winarsih, Indriastuti, M., & Fuad, K. (2021). Impact of COVID-19 on digital transformation and sustainability in small and medium enterprises (SMEs): A conceptual framework (978-3-030-50454-0). Retrieved from Switzerland: World Bank. (2019). Small and medium enterprises (SMEs) finance. Retrieved from https:// www. world bank. org/ en/ topic/ smefi nance Yang, Z., Sun, J., Zhang, Y., & Wang, Y. (2015). Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model. Computers in Human Behavior, 45, 254–264. https:// doi. org/ 10. 1016/j. chb. 2014. 12. 022 Yigitbasioglu, M. (2015). The role of institutional pressures and top management support in the intention to adopt cloud computing solutions. Journal of Enterprise Information Management, 28(4), 579–594. https:// doi. org/ 10. 1108/ JEIM- 09- 2014- 0087 S astararuji et al. Journal of Innovation and Entrepreneurship (2022) 11:43 Page 25 of 25 Yin, R. K. (2014). Case study research: Design and methods (applied social research methods). Sage Publications. Yoon, S. (2020). A study on the transformation of accounting based on new technologies: Evidence from Korea. Sustain- ability. https:// doi. org/ 10. 3390/ su122 08669 Zaied, A. N. H. (2012). Barriers to e-commerce adoption in Egyptian SMEs. International Journal of Information Engineering and Electronic Business, 4(3), 9–18. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Journal

Journal of Innovation and EntrepreneurshipSpringer Journals

Published: Jun 21, 2022

Keywords: Cloud accounting; Technology adoption; SMEs; Technology–organization–environment framework; Diffusion of innovation theory; Institutional theory

References