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Understanding Individuals’ Switching of eService: An Empirical Study of Social Network Games Switching Intentions in China

  • Conference paper
Co-created Effective, Agile, and Trusted eServices (ICEC 2013)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 155))

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Abstract

Competitors in social network game (SNG) are constantly providing substitutes to attract SNG players, and SNG players switch among SNGs. In prior IS literature, little research has attempted to study the switching behavior of IS users. This paper aims at exploring users’ switching behavior in the context of SNG. We applied the push-pull-mooring framework from the marketing field to examine the determinants of SNG players’ switching intention. In addition, we investigate the moderating role of individuals’ demographics, such as age and gender. We tested the proposed research model with 541 responses collected via an online survey among Chinese SNG players. The research results suggest that perceived enjoyment (push effect), descriptive norms and alternative attractiveness (pull effects), as well as adaptation cost (mooring effect), have significant effects on individuals’ switching intention in SNGs. Meanwhile, demographics (such as age and gender) are moderating effects on relations among independent variables to switching intention in various degrees.

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References

  1. Guest Post: Getting Schooled on Developing the Best Games for Teens and Tweens, http://www.insidesocialgames.com/2012/11/23/guest-post-attention-game-developers-getting-schooled-on-developing-the-best-games-for-teens-and-tweens/

  2. Bhattacherjee, A., Limayem, M., Cheung, C.M.: User Switching of Information Technology: A Theoretical Synthesis and Empirical Test Research. Information & Management 49, 327–333 (2012)

    Article  Google Scholar 

  3. Ganesh, J., Arnold, M.J., Reynolds, K.E.: Understanding the Customer Base of Service Providers: An Examination of the Differences Between Switchers and Stayers. J. Market. 64, 65–87 (2000)

    Article  Google Scholar 

  4. Zhang, K.Z., Cheung, C.M., Lee, M.K.: Online Service Switching Behavior: The Case of Blog Service Providers. Journal of Electronic Commerce Research 13, 184–197 (2012)

    Google Scholar 

  5. Keaveney, S.M., Parthasarathy, M.: Customer Switching Behavior in Online Services: An Exploratory Study of the Role of Selected Attitudinal, Behavioral, and Demographic Factors. Journal of the Academy of Marketing Science 29, 374–390 (2001)

    Article  Google Scholar 

  6. Ye, C., Seo, D., Desouza, K., Papagari, S., Jha, S.: Post-adoption Switching Between Technology Substitutes: the Case of Web Browsers. In: ICIS 2006, pp. 1941–1958. Association for Information Systems, Milwaukee (2006)

    Google Scholar 

  7. Oliver, R.L.: Effect of Expectation and Disconfirmation on Post Exposure Product Evaluations: An Alternative Interpretation. Journal Applied Psychology 62, 480 (1977)

    Article  Google Scholar 

  8. Boyle, P., Halfacree, K., Robinson, V.: Exploring Contemporary Migration. Longman, London (1998)

    Google Scholar 

  9. Ranganathan, C., Seo, D., Babad, Y.: Switching Behavior of Mobile Users: do Users’ Relational Investments and Demographics matter? European Journal of Information Systems 15, 269–276 (2006)

    Article  Google Scholar 

  10. Hou, A.C., Chern, C., Chen, H., Chen, Y.: ‘Migrating to a New Virtual World’: Exploring MMORPG Switching through Human Migration Theory. Computers in Human Behavior 27, 1892–1903 (2011)

    Article  Google Scholar 

  11. Bansal, H.S., Taylor, S.F., St James, Y.: “Migrating” to New Service Providers: Toward a Unifying Framework of Consumers’ Switching Behaviors. Journal of the Academy of Marketing Science 33, 96–115 (2005)

    Article  Google Scholar 

  12. Moon, B.: Paradigms in Migration Research: Exploring “Moorings” as a Schema. Prog. Hum. Geogr. 19, 504–524 (1995)

    Article  Google Scholar 

  13. Hsieh, J., Hsieh, Y., Chiu, H., Feng, Y.: Post-adoption Switching Behavior for Online Service Substitutes: A Perspective of the Push–Pull–Mooring Gramework. Computers in Human Behavior 28, 1912–1920 (2012)

    Article  Google Scholar 

  14. Ye, C., Potter, R.: The Role of Habit in Post-Adoption Switching of Personal Information Technologies: An Empirical Investigation. Communications of the Association for Information Systems 28, 585–610 (2011)

    Google Scholar 

  15. Zhang, K.Z., Lee, M.K., Cheung, C.M., Chen, H.: Understanding the Role of Gender in Bloggers’ Switching Behavior. Decision Support Systems 47, 540–546 (2009)

    Article  Google Scholar 

  16. Klemperer, P.: Markets with Consumer Switching Costs. The Quarterly Journal of Economics 102, 375–394 (1987)

    Article  Google Scholar 

  17. Van der Heijden, H.: User Acceptance of Hedonic Information Systems. MIS Quarterly 28, 695–704 (2004)

    Google Scholar 

  18. Burnham, T.A., Frels, J.K., Mahajan, V.: Consumer Switching Costs: a Typology, Antecedents, and Consequences. Journal of the Academy of Marketing Science 31, 109–126 (2003)

    Article  Google Scholar 

  19. Kim, G., Shin, B., Lee, H.G.: A Study of Factors that Affect User Intentions Toward Email Service Switching. Information & Management 43, 884–893 (2006)

    Article  Google Scholar 

  20. Rusbult, C.E., Farrell, D.: A Longitudinal Test of the Investment Model: The Impact on Job Satisfaction, Job Commitment, and Turnover of Variations in Rewards, Costs, Alternatives, and Investments. Journal of Applied Psychology 68, 429 (1983)

    Article  Google Scholar 

  21. Kim, M., Park, M., Jeong, D.: The Effects of Customer Satisfaction and Switching Barrier on Customer Loyalty in Korean Mobile Telecommunication Dervices. Telecommunication Policy 28, 145–159 (2004)

    Article  Google Scholar 

  22. Lu, H., Wang, S.: The Role of Internet Addiction in Online Game Loyalty: an Exploratory Study. Internet Research 18, 499–519 (2008)

    Article  Google Scholar 

  23. Park, N., Oh, H.S., Kang, N.: Factors Influencing Intention to Upload Content on Wikipedia in South Korea: The Effects of Social Norms and Individual Differences. Computers in Human Behavior 28, 898–905 (2012)

    Article  Google Scholar 

  24. Zhang, K.Z., Cheung, C.M., Lee, M.K.: Online Service Switching Behavior: The Case of Blog Service Providers. Journal of Electronic Commerce Research 13, 184–197 (2012)

    Google Scholar 

  25. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly 27, 425–478 (2003)

    Google Scholar 

  26. Jansz, J., Avis, C., Vosmeer, M.: Playing The Sims2: an Exploration of Gender Differences in Players’ Motivations and Patterns of Play. New Media & Society 12, 235–251 (2010)

    Article  Google Scholar 

  27. Yee, N.: Maps of Digital Desires: Exploring the Topography of Gender and Play in Online Games. In: Beyond Barbie and Mortal Kombat: New Perspectives on Gender and Gaming, pp. 83–96. MIT Press, Cambridge (2008)

    Google Scholar 

  28. Jones, S., Fox, S.: Generations online in 2009. Pew Internet & American Life Project, Washington, DC (2009)

    Google Scholar 

  29. Ghani, J.A., Deshpande, S.P.: Task Characteristics and the Experience of Optimal Flow in Human—Computer Interaction. Journal of Psychology 128, 381–391 (1994)

    Article  Google Scholar 

  30. Jones, M.A., Mothersbaugh, D.L., Beatty, S.E.: Why Customers Stay: Measuring the Underlying Dimensions of Services Switching Costs and Managing Their Differential Strategic Outcomes. Journal of Business Research 55, 441–450 (2002)

    Article  Google Scholar 

  31. iResearch: China Online Game Players’ Behavior Research, http://wenku.baidu.com/view/b64428110b4e767f5acfce15.html (access on March 4, 2013)

  32. Bagozzi, R.P., Yi, Y.: On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science 16, 74–94 (1988)

    Article  Google Scholar 

  33. Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., Tatham, R.L.: Multivariate Data Analysis. Prentice Hall, Upper Saddle River (2006)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Information Systems Science, Department of Management, Turku School of Economics, University of Turku, Turku, Finland

    Xiaoyu Xu, Hongxiu Li & Jukka Heikkilä

Authors
  1. Xiaoyu Xu
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  2. Hongxiu Li
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  3. Jukka Heikkilä
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Editor information

Editors and Affiliations

  1. Department of Information Systems Science, University of Turku, Turku, Finland

    Jonna Järveläinen , Hongxiu Li , Anne-Marie Tuikka  & Tiina Kuusela , ,  & 

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Xu, X., Li, H., Heikkilä, J. (2013). Understanding Individuals’ Switching of eService: An Empirical Study of Social Network Games Switching Intentions in China. In: Järveläinen, J., Li, H., Tuikka, AM., Kuusela, T. (eds) Co-created Effective, Agile, and Trusted eServices. ICEC 2013. Lecture Notes in Business Information Processing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39808-7_8

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  • DOI: https://doi.org/10.1007/978-3-642-39808-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39807-0

  • Online ISBN: 978-3-642-39808-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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