Understanding the behavioural intention to play online games: An extension of the theory of planned behaviour

Online Information Review

Volumn 33, Issue 5, 2009, Pages 849-872

  Lee, Ming Chi ^a  

^a NATIONAL PINGTUNG UNIVERSITY   (Taiwan)

Author keywords

Behaviour; Social interaction; Video games

Indexed keywords

COMPETING MODELS; CUSTOMER ACCEPTANCE; DESIGN/METHODOLOGY/APPROACH; EMPIRICAL STUDIES; EXPLANATORY POWER; FLOW EXPERIENCE; INTERACTION FACTOR; MARKETING STRATEGY; MODERATING EFFECT; ON-LINE GAMES; PERCEIVED ENJOYMENT; PREDICTIVE POWER; PRIOR EXPERIENCE; SOCIAL INTERACTIONS; STRUCTURAL EQUATION MODELLING; TECHNOLOGY ACCEPTANCE MODEL; THEORETICAL MODELS; THEORY OF PLANNED BEHAVIOUR; VIDEO GAME;

HUMAN COMPUTER INTERACTION; KNOWLEDGE MANAGEMENT; MARKETING; STRATEGIC PLANNING;

GAME THEORY;

EID: 74549183469     PISSN: 14684527     EISSN: None     Source Type: Journal    
DOI: 10.1108/14684520911001873     Document Type: Article

References (50)

1. Ajzen, I. (1985), From Intentions to Actions: A Theory of Planned Behavior, Action-Control: From Cognition to Behavior, Springer-Verlag, Berlin.
2. Ajzen, I. (1991), “The theory of planned behavior”, Organizational Behavior and Human Decision Process, Vol. 50 No. 1, pp. 179-211.
3. Anderson, J.C. and Gerbing, D.W. (1988), “Structural equation modeling in practice: a review and recommended two-step approach”, Psychological Bulletin, Vol. 103 No. 3, pp. 411-423.
4. Armstrong, A. and Hagel, J. (1996), “The real value of online communities”, Harvard Business Review, Vol. 3 No. 1, pp. 134-141.
5. Bosnjak, M., Obermeier, D. and Tuten, T.L. (2006), “Predicting and explaining the propensity to id in online auctions: a comparison of two action-theoretical models”, Journal of Consumer Behavior, Vol. 5 No. 1, pp. 102-116.
6. Charlton, J.P. and Danforth, I.D.W. (2007), “Distinguishing addiction and high engagement in the context of online game playing”, Computers in Human Behavior, Vol. 23 No. 4, pp. 1531-48.
7. Chen, C.-D., Fan, Y.-W. and Farn, C.-K. (2007), “Predicting electronic toll collection service adoption: an integration of the technology acceptance model and the theory of planned behavior”, Transportation Research Part C: Emerging Technologies, Vol. 15 No. 5, pp. 300-311.
8. Choi, D. and Kim, J. (2004), “Why people continue to play online games: in search of critical design factors to increase customer loyalty to online contents”, Cyberpsychology & Behavior, Vol. 7 No. 1, pp. 11-24.
9. Chong, H., Whie, R.E. and Prybutok, V. (2001), “Relationship among organizational support, JIT implementation, and performance”, Industrial Management & Data Systems, Vol. 101 No. 5, pp. 273-280.
10. Churchill, G.A.J. (1995), Marketing Research: Methodological Foundations, 6th ed., Dryden Press, New York, NY.
11. Csikszentmihalyi, M. (1977), Beyond Boredom and Anxiety, Jossey-Bass, San Francisco, CA.
12. Csikszentmihalyi, M. (1989), “Optimal experience in work and leisure”, Journal of Personality and Social Psychology, Vol. 56 No. 5, pp. 815-822.
13. Datamonitor (2007), “DFC intelligence“, available at: www.dfcint.com/index.php (accessed 14 July 2008).
14. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989), “User acceptance of computer technology: a comparison of two theoretical models”, Management Science, Vol. 35 No. 4, pp. 982-1002.
15. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1992), “Extrinsic and intrinsic motivation to use computers in the workplace”, Journal of Applied Social Psychology, Vol. 22 No. 14, pp. 1111-32.
16. Deci, E.L. and Ryan, R.M. (1987), “Accessibility and stability of predictors in the theory of planned behavior”, Journal of Personality and Social Psychology, Vol. 63 No. 5, pp. 754-765.
17. Finneran, C.M. and Zhang, P. (2005), “Flow in computer-mediated environments: promises and challenges”, Communications of the Association for Information Systems, Vol. 15 No. 1, pp. 82-101.
18. Fornell, C. and Larcker, D. (1981), “Structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18 No. 1, pp. 39-50.
19. Gorriz, M.C. and Medina, C. (2000), “Engaging girls with computers through software games”, Communications of the ACM, Vol. 43 No. 1, pp. 42-49.
20. Grover, V. and Teng, J. (2001), “E-commerce and the information market”, Communications of the ACM, Vol. 44 No. 4, pp. 79-86.
21. Ha, I., Yoon, Y. and Choi, M. (2007), “Determinants of adoption of mobile games under mobile broadband wireless access environment”, Information & Management, Vol. 44 No. 3, pp. 276-286.
22. Hair, J.F., Anderson, R.E. and Tatham, R.L. (1998), Multivariate Data Analysis, 5th ed., Prentice-Hall, Englewood Cliffs, NJ.
23. Hsu, C.-L. and Lu, H.-P. (2004), “Why do people play on-line games? An extended TAM with social influences and flow experience”, Information & Management, Vol. 41 No. 7, pp. 853-868.
24. Hsu, C.-L. and Lu, H.-P. (2005), “Consumer behavior in online game communities: a motivational factor perspective”, Computers in Human Behavior, Vol. 23 No. 3, pp. 1642-59.
25. Hsu, M.-H. and Chiu, C.-M. (2004), “Internet self-efficacy and electronic service acceptance”, Decision Support Systems, Vol. 38 No. 3, pp. 369-381.
26. Huang, M.H. (2003), “Designing website attributes to induce experiential encounters”, Computers in Human Behavior, Vol. 19 No. 4, pp. 425-442.
27. Hung, S.-Y. and Chang, C.-M. (2005), “User acceptance of WAP services: test of competing theories”, Computer Standards & Interfaces, Vol. 27 No. 4, pp. 359-370.
28. Jöreskog, K.G. and Sörbom, D. (1993), LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language, Scientific Software International, Chicago, IL.
29. Kim, Y.-Y., Oh, S. and Lee, H. (2005), “What makes people experience flow? Social characteristics of online games”, International Journal of Advanced Media and Communication, Vol. 1 No. 1, pp. 76-92.
30. Lam, T. and Hsu, C.H.C. (2006), “Predicting behavioral intention of choosing a travel destination”, Tourism Management, Vol. 27 No. 4, pp. 589-599.
31. Laurel, B. (1993), Computer as Theatre, Addison-Wesley, New York, NY.
32. Lazzaro, N. (2004), “Why we play games: four keys to more emotion without story” available at: www.xeodesign.com/xeodesign_whyweplaygames.pdf (accessed 14 July 2008).
33. Lee, M.K.O., Cheung, C.M.K. and Chen, Z. (2005), “Acceptance of internet-based learning medium: the role of extrinsic and intrinsic motivation”, Information & Management, Vol. 42 No. 8, pp. 1095-104.
34. Lewinski, J.S. (2000), Developer's Guide to Computer Game Design, Wordware, Portland, OR.
35. Li, D. and Browne, G.J. (2006), “The role of need for cognition and mood in online flow experience”, Journal of Computer Information Systems, Vol. 46 No. 1, pp. 11-17.
36. Liao, C., Chen, J.-L. and Yen, D.C. (2007), “Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: an integrated model”, Computers in Human Behavior, Vol. 23 No. 6, pp. 2804-22.
37. Lin, H.-F. (2007), “Predicting consumer intentions to shop online: an empirical test of competing theories”, Electronic Commerce Research and Applications, Vol. 6 No. 4, pp. 433-442.
38. Lu, Y., Zhou, T. and Wang, B. (2009), “Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory”, Computers in Human Behavior, Vol. 25 No. 1, pp. 29-39.
39. Pilke, E.M. (2004), “Flow experiences in information technology use”, International Journal of Human-Computer Studies, Vol. 61 No. 3, pp. 347-357.
40. Sheppard, S. and Rouff, C. (1994), Encyclopedia of Software Engineering, Vol. 2, Wiley, New York, NY.
41. Song, S. and Lee, J. (2007), “Key factors of heuristic evaluation for game design: towards massively multi-player online role-playing game”, International Journal of Human-Computer Studies, Vol. 65 No. 8, pp. 709-723.
42. Sweetser, P. and Wyeth, P. (2005), “Game Flow: a model for evaluating player enjoyment in games”, ACM Computers in Entertainment, Vol. 3 No. 3, pp. 1-24.
43. Taylor, S. and Todd, P. (1994), Understanding Information Technology Usage: A Test of Competing Models, Queens University School of Business Research Program, New York, NY.
44. Taylor, S. and Todd, P. (1995), “Assessing IT usage: the role of prior experience”, MIS Quarterly, Vol. 19 No. 4, pp. 561-570.
45. Van der Heijden, H. (2003), “Factors influencing the usage of websites: the case of a generic portal in The Netherlands”, Information & Management, Vol. 40 No. 6, pp. 541-9.
46. Vellerand, R.J. (1997), “Toward a hierarchical model of intrinsic and extrinsic motivation”, Advanced Experiments in Social Psychology, Vol. 29 No. 2, pp. 271-360.
47. Voiskounsky, A.E., Mitina, O.V. and Avetisova, A.A. (2004), “Playing online games: flow experience”, Psychology Journal, Vol. 2 No. 3, pp. 259-281.
48. Wang, Y.D. and Emurian, H.H. (2005), “An overview of online trust: concepts, elements, and implications”, Computers in Human Behavior, Vol. 21 No. 1, pp. 105-125.
49. Wilde, S.J., Kelly, S.J. and Scott, D. (2004), “An exploratory investigation into e-tail image attributes important to repeat, internet savvy customers”, Journal of Retailing and Customer Services, Vol. 11 No. 3, pp. 131-9.
50. Yu, J., Ha, I., Choi, M. and Rho, J. (2005), “Extending the TAM for a t-commerce”, Information & Management, Vol. 42 No. 7, pp. 965-976.