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

Purpose – The purpose of this paper is to investigate whether flow experience, perceived enjoyment, and interaction affect people's behavioural intention to play online games and whether gender, age and prior experience have moderating effects on online game acceptance.Design/methodology/approach – This study extends the theory of planned behaviour (TPB) with flow experience, perceived enjoyment, and interaction to propose a theoretical model to explain and predict people's behavioural intention to play online games. This model is examined through an empirical study involving 458 participants using structural equation modelling techniques. In addition, a competing model based on the technology acceptance model (TAM) is proposed to evaluate whether TPB is more suitable than TAM to explain the use of online games. The two action‐theoretical models are compared in terms of their predictive power and their practical utility.Findings – Although both models explain the players' intention to play online games ve...

[1]  Jinwoo Kim,et al.  Why People Continue to Play Online Games: In Search of Critical Design Factors to Increase Customer Loyalty to Online Contents , 2004, Cyberpsychology Behav. Soc. Netw..

[2]  Karl G. Jöreskog,et al.  Lisrel 8: Structural Equation Modeling With the Simplis Command Language , 1993 .

[3]  John J. Marciniak,et al.  Encyclopedia of Software Engineering , 1994, Encyclopedia of Software Engineering.

[4]  R. Vallerand.  Toward A Hierarchical Model of Intrinsic and Extrinsic Motivation , 1997 .

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

[6]  Gilbert A. Churchill,et al.  Marketing Research: Methodological Foundations , 1976 .

[7]  Ming-Hui Huang,et al.  Designing website attributes to induce experiential encounters , 2003, Comput. Hum. Behav..

[8]  Chin-Lung Hsu,et al.  Consumer behavior in online game communities: A motivational factor perspective , 2007, Comput. Hum. Behav..

[9]  Hsiu-Fen Lin,et al.  Predicting consumer intentions to shop online: An empirical test of competing theories , 2007, Electron. Commer. Res. Appl..

[10]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[11]  Jaejeung Rho,et al.  Extending the TAM for a t-commerce , 2005, Inf. Manag..

[12]  M. Csíkszentmihályi.  Beyond boredom and anxiety , 1975 .

[13]  Victor R. Prybutok,et al.  Relationship among organizational support, JIT implementation, and performance , 2001, Ind. Manag. Data Syst..

[14]  N. Lazzaro.  Why we Play Games: Four Keys to More Emotion without Story , 2004 .

[15]  I. Ajzen,et al.  Accessibility and stability of predictors in the theory of planned behavior. , 1992 .

[16]  Tao Zhou,et al.  Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory , 2009, Comput. Hum. Behav..

[17]  Glenn J. Browne,et al.  The Role of Need for Cognition and Mood in Online Flow Experience , 2006, J. Comput. Inf. Syst..

[18]  John Scott Lewinski,et al.  Developer's guide to computer game design , 1999 .

[19]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

[20]  Eeva M. Pilke.  Flow experiences in information technology use , 2004, Int. J. Hum. Comput. Stud..

[21]  Chun-Der Chen,et al.  Predicting electronic toll collection service adoption: An integration of the technology acceptance model and the theory of planned behavior , 2007 .

[22]  James T. C. Teng,et al.  E-commerce and the information market , 2001, CACM.

[23]  Chao-Min Chiu,et al.  Internet self-efficacy and electronic service acceptance , 2004, Decis. Support Syst..

[24]  Alexander E. Voiskounsky,et al.  Playing Online Games: Flow Experience , 2004, PsychNology J..

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

[26]  Ping Zhang,et al.  Flow in Computer-Mediated Environments: Promises and Challenges , 2005, Commun. Assoc. Inf. Syst..

[27]  Shin-Yuan Hung,et al.  User acceptance of WAP services: test of competing theories , 2005, Comput. Stand. Interfaces.

[28]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[29]  Cathy H. C. Hsu,et al.  Predicting behavioral intention of choosing a travel destination , 2006 .

[30]  Joohyeon Lee,et al.  Key factors of heuristic evaluation for game design: Towards massively multi-player online role-playing game , 2007, Int. J. Hum. Comput. Stud..

[31]  Peta Wyeth,et al.  GameFlow: a model for evaluating player enjoyment in games , 2005, CIE.

[32]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[33]  John P. Charlton,et al.  Distinguishing addiction and high engagement in the context of online game playing , 2007, Comput. Hum. Behav..

[34]  I. Ajzen.  The theory of planned behavior , 1991 .

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

[36]  Su-yeon Kim,et al.  User Acceptance of Social Network Games on Smart Devices: An Extension to the Technology Acceptance Model , 2011 .

[37]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[38]  Heejin Lee,et al.  What makes people experience flow? Social characteristics of online games , 2005, Int. J. Adv. Media Commun..

[39]  Kyoung-Hwan Kim,et al.  Understanding the consistent use of Internet health information , 2010, Online Inf. Rev..

[40]  Joohyeon Lee,et al.  RETRACTED: Key factors of heuristic evaluation for game design: Towards massively multi-player online role-playing game , 2007 .

[41]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[42]  David C. Yen,et al.  Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model , 2007, Comput. Hum. Behav..

[43]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[44]  M. Csíkszentmihályi,et al.  Optimal experience in work and leisure. , 1989, Journal of personality and social psychology.

[45]  J. Hagel,et al.  The Real Value of Online Communities , 2000 .

[46]  J. Hair.  Multivariate data analysis , 1972 .

[47]  Matthew K. O. Lee,et al.  Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation , 2005, Inf. Manag..

[48]  Don Scott,et al.  An exploratory investigation into e-tail image attributes important to repeat, internet savvy customers , 2004 .

[49]  Tracy L. Tuten,et al.  Predicting and explaining the propensity to bid in online auctions: a comparison of two action-theoretical models , 2006 .

[50]  Claudia Medina,et al.  Engaging girls with computers through software games , 2000, Commun. ACM.

[51]  Henry H. Emurian,et al.  An overview of online trust: Concepts, elements, and implications , 2005, Comput. Hum. Behav..

[52]  B. Laurel,et al.  Computer as Theatre , 1993 .