Access the full text.
Sign up today, get DeepDyve free for 14 days.
M. Ravikishore, Reeba Jacob, Allana Thomas (2016)
Attitude of Extension Professionals Towards Agri-Expert SystemsInternational journal of Bio-resource and Stress Management, 7
Organizational Behavior and Human Decision Processes, 50
Charitha Hettiarachchi, Hyunsook Do, Byoungju Choi (2016)
Risk-based test case prioritization using a fuzzy expert systemInf. Softw. Technol., 69
B. Ives, M. Olson (1984)
User Involvement and MIS Success: A Review of ResearchManagement Science, 30
V. Venkatesh, Fred Davis (2000)
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field StudiesManagement Science, 46
Li-tze Hu, P. Bentler (1999)
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternativesStructural Equation Modeling, 6
Khaled Alshare, Ronald Freeze, O. Kwun (2009)
Student Intention to Use Expert Systems: An Exploratory StudyJournal of Computer Information Systems, 49
Ritu Agarwal, J. Prasad (1998)
The antecedents and consequents of user perceptions in information technology adoptionDecis. Support Syst., 22
Wannasiri Bhuasiri, Hangjung Zo, Hwansoo Lee, A. Ciganek (2016)
User Acceptance of e-government Services: Examining an e-tax Filing and Payment System in ThailandInformation Technology for Development, 22
(2003)
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
William Wagner (2017)
Trends in expert system development: A longitudinal content analysis of over thirty years of expert system case studiesExpert Syst. Appl., 76
Roberto González-Ibáñez, María Escobar-Macaya, Manuel Manriquez (2016)
Using low‐cost electroencephalography (EEG) sensor to identify perceived relevance on web searchProceedings of the Association for Information Science and Technology, 53
Shih‐Chih Chen, Shing-Han Li, Chien-Yi Li (2012)
RECENT RELATED RESEARCH IN TECHNOLOGY ACCEPTANCE MODEL: A LITERATURE REVIEWAustralian Journal of Business and Management Research
M. Alomari, P. Woods, K. Sandhu (2012)
Predictors for E-government Adoption in Jordan: Deployment of an Empirical Evaluation Based on a Citizen-centric ApproachInf. Technol. People, 25
W. Tsai, M. Shaw, Yiyi Fan, Jau-Yang Liu, Kuen-Chang Lee, Hui-Chiao Chen (2011)
An empirical investigation of the impacts of internal/external facilitators on the project success of ERP: A structural equation modelDecis. Support Syst., 50
Khaled Alshare, H. Mesak, Elizabeth Grandón, M. Badri (2011)
Examining the Moderating Role of National Culture on an Extended Technology Acceptance ModelJournal of Global Information Technology Management, 14
Khaled Alshare, Mazen El-Masri, P. Lane (2015)
The Determinants of Student Effort at Learning ERP: A Cultural PerspectiveJ. Inf. Syst. Educ., 26
Jing Fan, Wenting Yang (2015)
Study on e-government services quality: The integration of online and offline servicesJournal of Industrial Engineering and Management, 8
P. Lapczynski (2004)
An Integrated model of technology acceptance for small mobile technology devices
M. Nematollahi, A. Moosavi, Mina Lazem, Nasim Aslani, M. Kafashi, A. Garavand (2017)
Factors Affecting in Adoption and Use of Electronic Medical Record Based on Unified Theory of Acceptance and Use of Technology in Iranshiraz e medical journal, 18
Hossein Ahmadi, M. Nilashi, L. Shahmoradi, O. Ibrahim (2017)
Hospital Information System adoption: Expert perspectives on an adoption framework for Malaysian public hospitalsComput. Hum. Behav., 67
Nattaporn Thongsri, Liang Shen, Yukun Bao, I. Alharbi (2018)
Integrating UTAUT and UGT to explain behavioural intention to use M-learning: A developing country's perspectiveJ. Syst. Inf. Technol., 20
V. Yoon, T. Guimaraes (1995)
Assessing Expert Systems Impact on Users' JobsJ. Manag. Inf. Syst., 12
L. Ye, Paul Johnson (1995)
The Impact of Explanation Facilities in User Acceptance of Expert System AdviceMIS Q., 19
Yogesh Dwivedi, N. Rana, A. Jeyaraj, Marc Clement, Michael Williams (2017)
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical ModelInformation Systems Frontiers, 21
S. Karagiannis, A. Dounis, T. Chalastras, P. Tiropanis, D. Papachristos (2007)
Design of Expert System for Search Allergy and Selection of the Skin Tests using CLIPSWorld Academy of Science, Engineering and Technology, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 1
W. Doll, G. Torkzadeh (1988)
The Measurement of End-User Computing SatisfactionMIS Q., 12
(1996)
The role of top management in the development of expert systems
(1989)
Performance expectancy, perceived ease of use, and user acceptance of information technology
Seok Kim, K. Lee, Hee Hwang, Sooyoung Yoo (2015)
Analysis of the factors influencing healthcare professionals’ adoption of mobile electronic medical record (EMR) using the unified theory of acceptance and use of technology (UTAUT) in a tertiary hospitalBMC Medical Informatics and Decision Making, 16
Adel Aladwani, Prashant Palvia (2002)
Developing and validating an instrument for measuring user-perceived web qualityInf. Manag., 39
M.A. Rosso (2004)
The impact of expert systems on the performance of corporate strategic decision making
V. Venkatesh, Michael Morris, G. Davis, Fred Davis (2003)
User Acceptance of Information Technology: Toward a Unified ViewInstitutions & Transition Economics: Microeconomic Issues eJournal
M. Alam, Wang Hu, Zapan Barua (2018)
Using the UTAUT Model to Determine Factors Affecting Acceptance and Use of Mobile Health (mHealth) Services in BangladeshJournal of Studies in Social Sciences, 17
S. Choudhury (2017)
Why companies must invest in new technologies, even if it eats their own lunch
S. Ang (2007)
Partner Alignment and Governance in it Software AlliancesJournal of Computer Information Systems, 47
A. Parasuraman, V. Zeithaml, L. Berry (1985)
A Conceptual Model of Service Quality and Its Implications for Future ResearchJournal of Marketing, 49
Mark Srite, Elena Karahanna (2006)
The Role of Espoused National Cultural Values in Technology AcceptanceMIS Q., 30
I. Chang, Hsin-Ginn Hwang, W. Hung, Yi-Chang Li (2007)
Physicians' acceptance of pharmacokinetics-based clinical decision support systemsExpert Syst. Appl., 33
T. Clark, Mary Jones, Curtis Armstrong (2007)
The Dynamic Structure of Management Support Systems: Theory Development, Research Focus, and DirectionMIS Q., 31
Fred Davis, R. Bagozzi, P. Warshaw (1989)
User Acceptance of Computer Technology: A Comparison of Two Theoretical ModelsManagement Science, 35
S. Sharma, Manisha Sharma (2019)
Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigationInt. J. Inf. Manag., 44
Swati Gupta, Ritika Singhal (2013)
Fundamentals and Characteristics of an Expert System
M. Alomari (2016)
E-voting adoption in a developing countryTransforming Government: People, Process and Policy, 10
(2017)
Artificial intelligence
Thompson Teo, V. Lim, R. Lai (1999)
Intrinsic and extrinsic motivation in Internet usageOmega-international Journal of Management Science, 27
(2018)
Expert systems
Yujong Hwang, Mohanned Al-Arabiat, Donghee Shin, Younghwa Lee (2016)
Understanding information proactiveness and the content management system adoption in pre-implementation stageComput. Hum. Behav., 64
M. Chang (1998)
Predicting Unethical Behavior: A Comparison of the Theory of Reasoned Action and the Theory of Planned BehaviorJournal of Business Ethics, 17
Susan Brown, Anne Massey, Mitzi Montoya, James Burkman (2002)
Do I really have to? User acceptance of mandated technologyEuropean Journal of Information Systems, 11
C. Benedetto, R. Calantone, Chun Zhang (2003)
International Technology Transfer: Model and Exploratory Study in the People's Republic of ChinaInternational Marketing Review, 20
Y. Yoon, T. Guimaraes, A. Clevenson (1998)
Exploring expert system success factors for business process reengineeringJournal of Engineering and Technology Management, 15
Ronald Lee, L. Miller (1986)
A logic programming framework for planning and simulationDecis. Support Syst., 2
Shumaila Yousafzai, G. Foxall, J. Pallister (2007)
Technology acceptance: a meta‐analysis of the TAM: Part 1Journal of Modelling in Management, 2
Byounggu Choi, Jae-Nam Lee (2012)
Complementarities and Substitutabilities Among Knowledge Sourcing Strategies and Their Impact on Firm PerformanceJ. Assoc. Inf. Syst., 13
Chia-Chen Chen, Jia-Lun Tsai (2017)
Determinants of behavioral intention to use the Personalized Location-based Mobile Tourism Application: An empirical study by integrating TAM with ISSMFuture Gener. Comput. Syst., 96
Khaled Alshare (2006)
Factors Influencing End-User Intention to use Expert Systems : A Theoretical Model
P. Sánchez, F. Arenas-Márquez, M. Aguayo-Camacho (2017)
Cloud Computing (SaaS) Adoption as a Strategic Technology: Results of an Empirical StudyMob. Inf. Syst., 2017
V. Venkatesh, Xiaojun Zhang (2010)
Unified Theory of Acceptance and Use of Technology: U.S. Vs. ChinaJournal of Global Information Technology Management, 13
K. Elliott, M. Hall, Juan Meng (2013)
Consumers' Intention to Use Self-Scanning Technology: The Role of Technology Readiness and Perceptions toward Self-Service TechnologyAcademy of Marketing Studies Journal, 17
William King, Paulo Flor (2008)
The development of global IT infrastructureOmega-international Journal of Management Science, 36
Antonis Stylianou, P. Jackson (2007)
A Comparative Examination of Individual Differences and Beliefs on Technology Usage: Gauging the Role of itJournal of Computer Information Systems, 47
V. Yoon, T. Guimaraes, Quinton O'Neal (1995)
Exploring the Factors Associated with Expert Systems SuccessMIS Q., 19
T. Gill (1996)
Expert Systems Usage: Task Change and Intrinsic MotivationMIS Q., 20
Dominic Thomas, R. Bostrom (2010)
Vital Signs for Virtual Teams: An Empirically Developed Trigger Model for Technology Adaptation InterventionsMIS Q., 34
International Journal of Information Technology, 3
S. Liao (2005)
Expert system methodologies and applications - a decade review from 1995 to 2004Expert Syst. Appl., 28
V. Venkatesh, Michael Morris (2000)
Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage BehaviorWGSRN: Gender Equality
R. Goodwin, T. Susanto (2010)
Factors Influencing Citizen Adoption of SMS-based e-Government ServicesElectronic Journal of e-Government, 8
T. Guimaraes, V. Yoon, A. Clevenson (1996)
Factors important to expert systems success a field testInf. Manag., 30
Expert systems (ES) design emulates expertise with the intention that the ES be used by non-experts. This study aims to predict end-user intention and use of ES by proposing a research model that extends the basic components of the unified theory of acceptance and use of technology (UTAUT) by including additional relevant factors to ES, including the expert domain, perceived relevance, reliability, quality of ES and management support, which directly and indirectly influence the end-user intention to use an expert system.Design/methodology/approachA structural equation model (SEM), using LISREL, was used to test the measurement and structural models using a sample of 205 end-users of expert systems in the USA. These users of expert systems come from a variety of domains. The factors include both internal and external factors for the individual level of analysis design of this study.FindingsThe results showed behavioral intention had the strongest effect on usage, followed by perceived relevance. With respect to the factors that impact intention, perceived relevance had the strongest total effect, followed by attitude. For attitude, effort expectancy had the strongest total effect, followed by management support and perceived relevance.Research limitations/implicationsThe results of this study should assist decision-makers in planning training and communications about the use of expert systems so that the expert systems will be used as intended.Originality/valueThe originality of this work resides in the addition of external factors to the UTAUT model that helps provide advice to practitioners in the support needed to insure expert system implementation success.
Journal of Systems and Information Technology – Emerald Publishing
Published: Jul 8, 2019
Keywords: UTAUT; Behavioral intention; End-user; Expert systems use
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.