Applicability of the UTAUT model in playing online game through mobile phones: Moderating effects of user experience

This study is to explore consumer acceptance after implement the system based on “the Unified Theory of Acceptance and Use of Technology” (UTAUT) model. The purpose of our research empirically examined how Venkatesh's UTAUT helped online game companies understand consumer intention to play online game through mobile phones and how this changed as a consumer gained experience of playing online game and web browsing on mobile phones. The consumer's experience of playing online game and web browsing on mobile phones played moderating roles. This research used the questionnaire method to engage in exploration. Then, tested the construct validity by confirmatory factor analysis (CFA), and applied the structural equation modeling (SEM) to examine consumer attitude toward using technology. The findings reveal “Online game experience” and “Web browsing on mobile phones experience” have disturbance effect on consumer intention. The novelty of the study consisted in applying UTAUT to play online game through mobile phones while considering the moderating effects of online game experience and web browsing on mobile phones experience. Significant practical implications can be derived from the results. Finally, management implication and future research are also presented in this research.

[1]  Francisco Muñoz-Leiva,et al.  Web Acceptance Model (WAM): Moderating effects of user experience , 2007, Inf. Manag..

[2]  Imsook Ha,et al.  Determinants of adoption of mobile games under mobile broadband wireless access environment , 2007, Inf. Manag..

[3]  Per E. Pedersen,et al.  Intentions to use mobile services: Antecedents and cross-service comparisons , 2005 .

[4]  Xinran Y. Lehto,et al.  Adoption of Mobile Technologies for Chinese Consumers , 2007 .

[5]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[6]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[7]  James C. Anderson,et al.  Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models , 1992 .

[8]  Jinwoo Kim,et al.  A Cross-Cultural Study on the Value Structure of Mobile Internet Usage: Comparison Between Korea and Japan , 2002, J. Electron. Commer. Res..

[9]  W. H. Cummings,et al.  Cognitive Dissonance and Consumer Behavior: A Review of the Evidence , 1976 .

[10]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[11]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

[12]  Afzaal H. Seyal,et al.  Determinants of academic use of the Internet: A structural equation model , 2002, Behav. Inf. Technol..

[13]  L. Festinger,et al.  A Theory of Cognitive Dissonance , 2017 .

[14]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[15]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[16]  Akhilesh Bajaj,et al.  A feedback model to understand information system usage , 1998, Inf. Manag..

[17]  Jane M. Howell,et al.  Influence of Experience on Personal Computer Utilization: Testing a Conceptual Model , 1994, J. Manag. Inf. Syst..

[18]  R. Dhar,et al.  Consumer Choice between Hedonic and Utilitarian Goods , 2000 .

[19]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[20]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[21]  Leo R. Vijayasarathy,et al.  Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model , 2004, Inf. Manag..

[22]  Ingoo Han,et al.  The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce , 2003, Int. J. Electron. Commer..

[23]  J. Nunnally Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .