Perceived control and gender difference on the relationship between trialability and intent to play new online games

With the growing number of online game players and the increasing of new online games development, it is imperative for marketers to develop a better understanding of players' new game adoption decisions. This study examines perceived control as a mediator of trialability-product adoption relationship, and gender difference as a moderator of the relationship between trialability-product adoptions. A field survey was conducted to test the hypotheses of the study. Respondents were graduate students from Taiwan universities. A total of 411 undergraduate students with massively multiplayer online gaming (MMOGs) experience participated in this study. The structural equation model (SEM) method was employed to analyze the data. The findings indicate that perceived product trialability has a direct influence on intent to play new games, and indirect effects through perceived process control. Gender differences also moderate the trialability effects on the adoption of new online games. Perceived trialability had more of an effect on intention to play new online games for female players than for male players. To develop an effective product development and communication strategy, the finding suggests that online game firms should focus on new product characteristics and consider consumer gender differences.

[1]  Edward Shih-Tse Wang,et al.  A Study of the Perceived Recognition Affecting the Adoption of Innovation with Respect to the Online Game in Taiwan , 2007, Cyberpsychology Behav. Soc. Netw..

[2]  Kamil Md. Idris,et al.  E‐learning adoption: the role of relative advantages, trialability and academic specialisation , 2009 .

[3]  Edward Shih-Tse Wang The Effects of Browsing Frequency and Gender on the Relationship Between Perceived Control and Patronage Intentions in E-tail , 2010, Int. J. Electron. Commer..

[4]  Mary C. Whitton,et al.  Using innovation diffusion theory to guide collaboration technology evaluation: work in progress , 2001, Proceedings Tenth IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises. WET ICE 2001.

[5]  Thompson S. H. Teo,et al.  Factors influencing personal computer usage: the gender gap , 1996 .

[6]  Nelson Oly Ndubisi,et al.  Consumer attitudes, system's characteristics and internet banking adoption in Malaysia , 2006 .

[7]  Afzaal H. Seyal,et al.  A Preliminary Investigation of E-Commerce Adoption in Small & Medium Enterprises in Brunei , 2003 .

[8]  Sonia San Martín Gutiérrez,et al.  Online buying perceptions in Spain: can gender make a difference? , 2011, Electron. Mark..

[9]  Christoph Klimmt,et al.  Effectance and Control as Determinants of Video Game Enjoyment , 2007, Cyberpsychology Behav. Soc. Netw..

[10]  Ming-Chi Lee,et al.  Understanding the behavioural intention to play online games: An extension of the theory of planned behaviour , 2009, Online Inf. Rev..

[11]  Tzung-Ru Tsai,et al.  What Drives People to Continue to Play Online Games? An Extension of Technology Model and Theory of Planned Behavior , 2010, Int. J. Hum. Comput. Interact..

[12]  J. Mazzon,et al.  Adoption of internet banking: proposition and implementation of an integrated methodology approach , 2007 .

[13]  Fred D. Davis,et al.  Development and Test of a Theory of Technological Learning and Usage , 1992 .

[14]  Cecilia Ritho,et al.  Internet Banking Adoption in Kenya: The Case of Nairobi County , 2012 .

[15]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

[16]  Loay Salhieh,et al.  The assessment of e‐banking readiness in Jordan , 2011 .

[17]  Marco Nolden,et al.  The Medical Imaging Interaction Toolkit , 2005, Medical Image Anal..

[18]  Pratibha A. Dabholkar,et al.  The role of perceived control and gender in consumer reactions to download delays , 2009 .

[19]  Lori N. K. Leonard Attitude Influencers in C2C E-Commerce: Buying and Selling , 2012, J. Comput. Inf. Syst..

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

[21]  Warren Teitelman,et al.  A Tour Through Cedar , 1984, IEEE Transactions on Software Engineering.

[22]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[23]  John E. Simms,et al.  C2C ONLINE AUCTION WEBSITE PERFORMANCE: BUYER’S PERSPECTIVE , 2010 .

[24]  Ronggong Song,et al.  An analysis of online gaming crime characteristics , 2005, Internet Res..

[25]  Peter Z. Orton,et al.  The Five Attributes of Innovative E-Learning. , 2000 .

[26]  Flora Kokkinaki Predicting Product Purchase and Usage: the Role of Perceived Control, Past Behavior and Product Involvement , 1999 .

[27]  Magid Igbaria,et al.  An Examination of Gender Effects on the Career Success of Information Systems Employees , 1993 .

[28]  Russell N. Laczniak,et al.  The effects of gender on processing advertising and product trial information , 2006 .

[29]  Lily Shui-Lien Chen,et al.  The impact of perceived risk, intangibility and consumer characteristics on online game playing , 2010, Comput. Hum. Behav..

[30]  Dong-Mo Koo,et al.  The moderating role of locus of control on the links between experiential motives and intention to play online games , 2009, Comput. Hum. Behav..

[31]  Graham Pervan,et al.  Factors Influencing the Extent of Deployment of Electronic Commerce for Small-and Medium Sized Enterprises , 2007, J. Electron. Commer. Organ..

[32]  Ioanna D. Constantiou,et al.  What are users’ intentions towards real money trading in massively multiplayer online games? , 2012, Electron. Mark..

[33]  Jamie Carlson,et al.  Creating commercially compelling website-service encounters: an examination of the effect of website-service interface performance components on flow experiences , 2011, Electron. Mark..

[34]  Charles F. Hofacker,et al.  The impact of trial on technology adoption: the case of mobile TV , 2011 .

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

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

[37]  Monica J. Parzinger,et al.  Gender Schemas: A Cognitive Explanation of Discrimination of Women in Technology , 2007 .

[38]  David T. Croasdell,et al.  Why don't more women major in information systems? , 2011, Inf. Technol. People.

[39]  Garry Wei-Han Tan,et al.  Determinants of Mobile Learning Adoption: An Empirical Analysis , 2012, J. Comput. Inf. Syst..

[40]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[41]  Julian Ming-Sung Cheng,et al.  Hybrid convenience stores – the changing role of convenience stores in Taiwan , 2009 .

[42]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[43]  R. Johnston,et al.  Internal service recovery: developing a new construct , 1999 .

[44]  Edward D. Conrad Willingness to Use Strategic IT Innovations at the Individual Level: An Empirical Study Synthesizing DOI and TAM Theories , 2013 .

[45]  Michael Szell,et al.  How women organize social networks different from men , 2012, Scientific Reports.

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

[47]  David Patterson,et al.  Self-repairing computers. , 2003, Scientific American.

[48]  Sheng-Wuu Joe,et al.  Proposing online game loyalty and its antecedents considering gender as a moderator: a qualitative study , 2009 .

[49]  Mohd. Ismail Ahmad,et al.  Factors affecting e-commerce adoption in the electronic manufacturing companies in Malaysia , 2008 .

[50]  John Gallaugher,et al.  Understanding Network Effects in Software Markets: Evidence from Web Server Pricing , 2002, MIS Q..

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

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

[53]  Eileen M. Trauth,et al.  The Organizational Interface: A Method for Supporting End Users of Packaged Software , 1992, MIS Q..

[54]  Roslin V. Hauck,et al.  When a better interface and easy navigation aren't enough: Examining the information architecture in a law enforcement agency , 2002, J. Assoc. Inf. Sci. Technol..

[55]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

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

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