The effects of hedonic/utilitarian expectations and social influence on continuance intention to play online games

Purpose – The focus in this study is a model that predicts continuance intention of online multi-player games. In this integrated model, the social cognitive theory (SCT) lays out the foundation of two types of pre-use (pre-play) expectations, the flow theory captures the affective feeling with the game as a moderator for the effect from the two pre-use expectations, and subjective norm together with its associated antecedents cover a wide spectrum of social influences. Design/methodology/approach – A questionnaire was designed and pre-tested before distributing to target respondents. The reliability and validity of the instrument both met the commonly accepted guidelines. The integrated model was assessed first by examining its measurement model and then the structural model. Findings – The integration of cognitive, affective and social influence in this model explains a larger amount of variance compared to the competing models and existing studies. Originality/value – Unlike a popular trend that studie...

[1]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[2]  J. Walther Computer-Mediated Communication , 1996 .

[3]  Hsi-Peng Lu,et al.  Understanding intention to continuously share information on weblogs , 2007, Internet Res..

[4]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

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

[6]  Diane M. Strong,et al.  Perceived critical mass effect on groupware acceptance , 2000, Eur. J. Inf. Syst..

[7]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[8]  Cheng-Chieh Hsiao,et al.  The effects of a player's network centrality on resource accessibility, game enjoyment, and continuance intention: A study on online gaming communities , 2012, Electron. Commer. Res. Appl..

[9]  Liqiong Deng,et al.  User experience, satisfaction, and continual usage intention of IT , 2010, Eur. J. Inf. Syst..

[10]  Kevin E. Voss,et al.  Measuring the Hedonic and Utilitarian Dimensions of Consumer Attitude , 2003 .

[11]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[12]  Matthew K. O. Lee,et al.  Digital Inclusiveness--Longitudinal Study of Internet Adoption by Older Adults , 2006, J. Manag. Inf. Syst..

[13]  Eric T. G. Wang,et al.  Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories , 2006, Decis. Support Syst..

[14]  Tung-Ching Lin,et al.  Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit , 2008, Inf. Manag..

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

[16]  Tao Zhou,et al.  Understanding Online Community User Participation: A Social Influence Perspective , 2011, Internet Res..

[17]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[18]  Hsi-Peng Lu,et al.  The role of Internet addiction in online game loyalty: an exploratory study , 2008, Internet Res..

[19]  M. Csíkszentmihályi Flow. The Psychology of Optimal Experience. New York (HarperPerennial) 1990. , 1990 .

[20]  Kirk L. Wakefield,et al.  Can A Retail Web Site be Social? , 2007 .

[21]  Kévin D. Carillo,et al.  Social Cognitive Theory in IS Research - Literature Review, Criticism, and Research Agenda , 2010, ICISTM.

[22]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[23]  R. Nisbett,et al.  Undermining children's intrinsic interest with extrinsic reward: A test of the "overjustification" hypothesis. , 1973 .

[24]  T. C. Edwin Cheng,et al.  Extending the Understanding of End User Information Systems Satisfaction Formation: An Equitable Needs Fulfillment Model Approach , 2008, MIS Q..

[25]  Richard D. Johnson,et al.  Research Report: The Role of Behavioral Modeling in Computer Skills Acquisition: Toward Refinement of the Model , 2000, Inf. Syst. Res..

[26]  Salvador Ruiz,et al.  The Moderating Effect of Flow State on Web Site Effectiveness , .

[27]  Sally Rao Hill,et al.  Factors influencing the adoption of personalisation mobile services: empirical evidence from young Australians , 2010, Int. J. Mob. Commun..

[28]  Lan-Ying Huang,et al.  Predicting online game loyalty based on need gratification and experiential motives , 2011, Internet Res..

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

[30]  Chang Liu,et al.  Technology acceptance model for wireless Internet , 2003, Internet Res..

[31]  Ingoo Han,et al.  The impact of Web quality and playfulness on user acceptance of online retailing , 2007, Inf. Manag..

[32]  Yu-Chen Chen,et al.  Extrinsic versus intrinsic motivations for consumers to shop on-line , 2005, Inf. Manag..

[33]  John P. Campbell,et al.  Measurement Theory for the Behavioral Sciences. , 1983 .

[34]  Gavriel Salvendy,et al.  Measuring Player Immersion in the Computer Game Narrative , 2009, Int. J. Hum. Comput. Interact..

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

[36]  Sungjoo Lee,et al.  Customer satisfaction factors of mobile commerce in Korea , 2008, Internet Res..

[37]  David C. Yen,et al.  An exploratory study of the selection of communication media: The relationship between flow and communication outcomes , 2008, Decis. Support Syst..

[38]  Cheng-Chieh Hsiao,et al.  The impact of online community position on online game continuance intention: Do game knowledge and community size matter? , 2012, Inf. Manag..

[39]  Nick Yee,et al.  Motivations for Play in Online Games , 2006, Cyberpsychology Behav. Soc. Netw..

[40]  She-I Chang,et al.  Effects of IS characteristics on e-business success factors of small- and medium-sized enterprises , 2011, Comput. Hum. Behav..

[41]  Daniele Scarpi,et al.  Work and Fun on the Internet: The Effects of Utilitarianism and Hedonism Online , 2012 .

[42]  Virpi Kristiina Tuunainen,et al.  The hedonic and utilitarian value of digital games at product category level , 2009, ECIS.

[43]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[44]  A. Bandura Social Foundations of Thought and Action , 1986 .

[45]  Yuri Seo,et al.  Play as co‐created narrative in computer game consumption: The hero's journey in Warcraft III , 2012 .

[46]  E. Hirschman,et al.  The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun , 1982 .

[47]  Morris B. Holbrook,et al.  How Motivation Moderates the Effects of Emotions on the Duration of Consumption , 1998 .

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

[49]  Wynne W. Chin,et al.  Structural equation modeling analysis with small samples using partial least squares , 1999 .

[50]  H. Harman Modern factor analysis , 1961 .

[51]  Thomas F. Stafford,et al.  Perceived critical mass and the adoption of a communication technology , 2007, Eur. J. Inf. Syst..

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

[53]  Ya-Ping Chang,et al.  The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in China , 2012, Comput. Hum. Behav..

[54]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[55]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[56]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[57]  Yunjie Calvin Xu,et al.  The Effect of Individual Needs, Trust and Identification in Explaining Participation Intentions in Virtual Communities , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).

[58]  Paul A. Cairns,et al.  Measuring and defining the experience of immersion in games , 2008, Int. J. Hum. Comput. Stud..

[59]  A. Bandura Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychology Review.

[60]  Chun-Ming Chang,et al.  Knowledge sharing behavior in virtual communities: The relationship between trust, self-efficacy, and outcome expectations , 2007, Int. J. Hum. Comput. Stud..

[61]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and Voice Mail Emotion/Adoption Study , 1996, ICIS.

[62]  Venkatesh,et al.  A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. , 2000, Organizational behavior and human decision processes.

[63]  E. B. Andersen,et al.  Modern factor analysis , 1961 .

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

[65]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[66]  J. Webster,et al.  The Dimensionality and Correlates of Flow in Human-Computer Interactions. , 1993 .

[67]  M. Csíkszentmihályi Flow: The Psychology of Optimal Experience , 1990 .

[68]  Barbara Wixom,et al.  Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing , 2005, J. Manag. Inf. Syst..

[69]  Tung-Ching Lin,et al.  Withholding effort in knowledge contribution: The role of social exchange and social cognitive on project teams , 2010, Inf. Manag..

[70]  Ann E. Schlosser Experiencing Products in the Virtual World: The Role of Goal and Imagery in Influencing Attitudes versus Purchase Intentions , 2003 .

[71]  R. Baron,et al.  Entrepreneurs' Optimism And New Venture Performance: A Social Cognitive Perspective , 2009 .

[72]  Janet Fulk,et al.  Social construction of communication technology , 1993 .

[73]  Nicole Fruehauf Flow The Psychology Of Optimal Experience , 2016 .

[74]  Chechen Liao,et al.  Shopping motivations on Internet: A study based on utilitarian and hedonic value , 2007 .

[75]  De Liu,et al.  The Effects of Trust and Enjoyment on Intention to Play Online Games , 2007 .

[76]  Yi-Shun Wang,et al.  Hedonic and Utilitarian Motivations for Physical Game Systems Use Behavior , 2012, Int. J. Hum. Comput. Interact..

[77]  Jamie Carlson,et al.  Examining the effects of website-induced flow in professional sporting team websites , 2010, Internet Res..

[78]  Giuseppe Riva,et al.  Why Is Facebook So Successful? Psychophysiological Measures Describe a Core Flow State While Using Facebook , 2011, Cyberpsychology Behav. Soc. Netw..

[79]  Richard P. Bagozzi,et al.  Specification, evaluation, and interpretation of structural equation models , 2012 .

[80]  William R. Darden,et al.  Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value , 1994 .

[81]  Tao Zhou,et al.  Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience , 2011, Comput. Hum. Behav..

[82]  Robin L. Wakefield,et al.  Mobile computing: a user study on hedonic/utilitarian mobile device usage , 2006, Eur. J. Inf. Syst..

[83]  Sertan Kabadayi,et al.  The relationship between trusting beliefs and Web site loyalty: The moderating role of consumer motives and flow , 2010 .

[84]  Deborah Compeau,et al.  Application of Social Cognitive Theory to Training for Computer Skills , 1995, Inf. Syst. Res..

[85]  Asli Yagmur Akbulut,et al.  Understanding the Determinants of Service Channel Preference in the Early Stages of Adoption: A Social Cognitive Perspective on Online Brokerage Services , 2008, Decis. Sci..

[86]  Patrick Y. K. Chau,et al.  Understanding Individual Adoption of Instant Messaging: An Empirical Investigation , 2005, J. Assoc. Inf. Syst..

[87]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[88]  J. Christopher Westland,et al.  Lower bounds on sample size in structural equation modeling , 2010, Electron. Commer. Res. Appl..

[89]  Wen-Bin Chiou,et al.  The motivations of adolescents who are addicted to online games: a cognitive perspective. , 2007, Adolescence.

[90]  Donna L. Hoffman,et al.  Flow Online: Lessons Learned and Future Prospects , 2009 .

[91]  A. Hausman,et al.  The effect of web interface features on consumer online purchase intentions , 2009 .

[92]  R. Batra,et al.  Measuring the hedonic and utilitarian sources of consumer attitudes , 1991 .

[93]  G. Ellis,et al.  Measurement and Analysis Issues with Explanation of Variance in Daily Experience Using the Flow Model , 1994 .

[94]  Myeong-Cheol Park,et al.  Mobile internet acceptance in Korea , 2005, Internet Res..

[95]  Jan Storgårds,et al.  The Influence of the Hedonic and Utilitarian Value of Digital Games on Product Recommendation , 2011, Americas Conference on Information Systems.

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

[97]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[98]  K. Ramamurthy,et al.  Internet messaging: An examination of the impact of attitudinal, normative, and control belief systems , 2008, Inf. Manag..

[99]  Anol Bhattacherjee,et al.  Acceptance of e-commerce services: the case of electronic brokerages , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[100]  Murugan Anandarajan,et al.  Experiencing flow with instant messaging and its facilitating role on creative behaviors , 2010, Comput. Hum. Behav..

[101]  S. Sénécal,et al.  the Influence of Flow on Hedonic and Utilitarian Shopping Values , 2002 .

[102]  Peter A. Todd,et al.  Paradoxes of Online Investing: Testing the Influence of Technology on User Expectancies , 2006, Decis. Sci..

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

[104]  Miguel A. Rodríguez,et al.  The influence of the Internet on destination satisfaction , 2007, Internet Res..

[105]  M. Lynne Markus,et al.  Toward a “Critical Mass” Theory of Interactive Media , 1987 .

[106]  J. Nunnally,et al.  Psychometric Theory: NY. , 1978 .

[107]  J. Webster,et al.  Flow in Computer-Mediated Communication , 1992 .

[108]  M. Csíkszentmihályi Creativity: Flow and the Psychology of Discovery and Invention , 1996 .

[109]  Ming-Chi Lee,et al.  Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit , 2009, Electron. Commer. Res. Appl..