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Ming-Chi Lee (2009)
Understanding the behavioural intention to play online games: An extension of the theory of planned behaviourOnline Inf. Rev., 33
M. Fagan, Stern Neill, Barbara Wooldridge (2008)
Exploring the Intention to Use Computers: An Empirical Investigation of the Role of Intrinsic Motivation, Extrinsic Motivation, and Perceived Ease of UseJournal of Computer Information Systems, 48
Jiming Wu, De Liu (2007)
The Effects of Trust and Enjoyment on Intention to Play Online GamesJournal of Electronic Commerce Research, 8
V. Venkatesh, Fred Davis (2000)
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field StudiesManagement Science, 46
E.M. Rogers
Diffusion of Innovations
M. Fishbein, I. Ajzen (1977)
Belief, Attitude, Intention, and Behavior: An Introduction to Theory and ResearchContemporary Sociology, 6
P. Barrett (2007)
Structural equation modelling : Adjudging model fitPersonality and Individual Differences, 42
Younghwa Lee, K. Kozar, Kai Larsen (2003)
The Technology Acceptance Model: Past, Present, and FutureCommun. Assoc. Inf. Syst., 12
E. Raaij, J. Schepers (2008)
The acceptance and use of a virtual learning environment in ChinaComput. Educ., 50
Chin-Lung Hsu, Hsi-Peng Lu (2007)
Consumer behavior in online game communities: A motivational factor perspectiveComput. Hum. Behav., 23
Min-Kyoung Kim, Myeong-Cheol Park (2008)
Critical Success Factors for Accelerating the Diffusion of 3G Video Calls in Korea
C. Liao, Chun-Wang Tsou, Y. Shu (2008)
The Roles of Perceived Enjoyment and Price Perception in Determining Acceptance of Multimedia-on-DemandThe International Journal of Business and Information, 3
M. Igbaria, S. Parasuraman, Jack Baroudi (1996)
A Motivational Model of Microcomputer UsageJ. Manag. Inf. Syst., 13
(2012)
Mobile Messaging Futures 2012-2016: Analysis and Growth Forecasts for Mobile Messaging Markets Worldwide
I. Ajzen
The theory of planned behavior
M. Igbaria, J. Iivari, Hazem Maragahh (1995)
Why do individuals use computer technology? A Finnish case studyInf. Manag., 29
C. Moreau, Donald Lehmann, A. Markman (2001)
Entrenched Knowledge Structures and Consumer Response to New ProductsJournal of Marketing Research, 38
J. Webster, L. Trevino
Rational and social theories as complementary explanations of communication media choices: two policy‐capturing studies
Nicola Cornally (2015)
Theory of Planned Behavior
D. Shen, J. Laffey, Yi-Mei Lin, Xinxin Huang
Journal of Interactive Online Learning Social Influence for Perceived Usefulness and Ease-of-use of Course Delivery Systems
Rashotte L.S. (2007)
10.1002/9781405165518.wbeoss154
D. Doliński (2014)
Social Influence
Guangying Hua, D. Haughton (2009)
Virtual worlds adoption: a research framework and empirical studyOnline Inf. Rev., 33
C. Fornll, D. Larcker (1981)
STRUCTURAL EQUATION MODELS WITH UNOBSERVABLE VARIABLES AND MEASUREMENT ERROR, 18
(1999)
Logistics research methods: employing structural equation modeling to test for construct validity
V. Venkatesh, Susan Brown (2001)
A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging ChallengesMIS Q., 25
C. Holsapple, Jiming Wu (2008)
Building effective online game websites with knowledge-based trustInformation Systems Frontiers, 10
(2010)
E-commerce: A Managerial Perspective
Thompson Teo, Siau Pok (2003)
Adoption of WAP-enabled mobile phones among Internet usersOmega-international Journal of Management Science, 31
V. Venkatesh, Michael Morris, G. Davis, Fred Davis (2003)
User Acceptance of Information Technology: Toward a Unified ViewInstitutions & Transition Economics: Microeconomic Issues eJournal
Yi-Shun Wang (2008)
Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS successInformation Systems Journal, 18
Richard, P., Bagozzi, Paul, R. Warshaw
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace
Julian Lin, H. Chan, K. Wei (2006)
Understanding competing application usage with the theory of planned behaviorJ. Assoc. Inf. Sci. Technol., 57
H. Bauer, S. Barnes, T. Reichardt, Marcus Neumann (2005)
Driving consumer acceptance of mobile marketing: a theoretical framework and empirical studyJournal of Electronic Commerce Research, 6
S. Barutçu (2007)
Attitudes towards mobile marketing tools: A study of Turkish consumersJournal of Targeting, Measurement and Analysis for Marketing, 16
C. Slyke, Virginia Ilie, Hao Lou, Thomas Stafford (2007)
Perceived critical mass and the adoption of a communication technologyEuropean Journal of Information Systems, 16
Jane Webster, L. Treviño (1995)
Rational and social theories as complementary explanations of communication media choices: two polic
Siu-cheung Chan, Ming-te Lu (2004)
Understanding Internet Banking Adoption and Use Behavior: A Hong Kong PerspectiveJ. Glob. Inf. Manag., 12
D. George, Paul Mallery (1998)
SPSS for Windows Step by Step: A Simple Guide and Reference
C. Fornell, D. Larcker (1981)
Evaluating structural equation models with unobservable variables and measurement error.Journal of Marketing Research, 18
Qingxiong Ma, Liping Liu (2004)
The Technology Acceptance Model: A Meta-Analysis of Empirical FindingsJ. Organ. End User Comput., 16
J. Hair (1972)
Multivariate data analysisInternational Statistical Review, 40
D. Shen, J. Laffey, Y. Lin, Z. Huang
Social influence for perceived usefulness and ease‐of‐use of course delivery systems
Rich Glass, Suhong Li (2010)
Social Influence and Instant Messaging AdoptionJournal of Computer Information Systems, 51
Heshan Sun, Ping Zhang (2006)
Causal Relationships between Perceived Enjoyment and Perceived Ease of Use: An Alternative ApproachJ. Assoc. Inf. Syst., 7
Thompson Teo, V. Lim, R. Lai (1999)
Intrinsic and extrinsic motivation in Internet usageOmega-international Journal of Management Science, 27
(1998)
Free voluntary service
Kieran Mathieson (1991)
Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned BehaviorInf. Syst. Res., 2
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
Y. Malhotra, D. Galletta (1999)
Extending the technology acceptance model to account for social influence: theoretical bases and empirical validationProceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers, Track1
H. Heijden (2004)
User Acceptance of Hedonic Information SystemsMIS Q., 28
Paul Mallery, D. George (1998)
SPSS for Windows step by step
Fred Davis, R. Bagozzi, P. Warshaw (1992)
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1Journal of Applied Social Psychology, 22
H. Heijden
Factors influencing the usage of websites: the case The Netherlands
R. Bagozzi (2007)
The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm ShiftJ. Assoc. Inf. Syst., 8
H. Heijden (2003)
Factors influencing the usage of websites: the case of a generic portal in The NetherlandsInf. Manag., 40
J. Hartwick, H. Barki (1994)
Explaining the Role of User Participation in Information System UseManagement Science, 40
G. Premkumar, K. Ramamurthy, Hsin-Nan Liu (2008)
Internet messaging: An examination of the impact of attitudinal, normative, and control belief systemsInf. Manag., 45
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
Shirley Taylor, P. Todd (1995)
Assessing IT usage: the role of prior experienceManagement Information Systems Quarterly, 19
Younghwa Lee, Jintae Lee, Zoonky Lee (2006)
Social influence on technology acceptance behavior: self-identity theory perspectiveData Base, 37
Purpose – This empirical study aims to understand the interrelationship among the key technology adoption factors including social influence, individual existing knowledge, and individual perceptions of technology (i.e. usefulness, ease of use, and enjoyment) and their effects on individual intention to use a free voluntary service. Design/methodology/approach – The survey method is employed to collect data from universities offering the free mobile messaging service. A structural equation modeling analysis technique is used to analyze data reliability and validity in the measurement model and examine causal relationships among the constructs in the structural model. Findings – The results show that social influence affects individual knowledge and perceptions of the service (perceived usefulness, perceived ease of use, and perceived enjoyment) and successively influences the individual intention to use the free voluntary service. This study indicates that the intrinsic value of perceived enjoyment has a greater impact than the extrinsic value of perceived usefulness in terms of its effect on individual intention to use a free voluntary service. In addition, the effect of perceived usefulness of alternative systems should be taken into account when using perceived usefulness from the technology acceptance model to predict individual's technology adoption decisions under the free voluntary setting. Originality/value – This study fills the gap in the technology adoption literatures regarding the free voluntary service adoption based on social influence, individual knowledge, and individual perceptions of technology. It assists academics to understand the drivers of technology acceptance under the free voluntary setting and provides guidance for organizations to increase users' acceptability of their free voluntary services.
Journal of Systems and Information Technology – Emerald Publishing
Published: Apr 26, 2013
Keywords: Voluntary services; Adoption; Social influence; Intention; Ease of use; Usefulness; Enjoyment; Knowledge; User satisfaction; User studies
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