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Online Gambling Behavior: The Impacts of Cumulative Outcomes, Recent Outcomes, and Prior Use

Author

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  • Xiao Ma

    (Department of Information Systems, Sam M. Walton College of Business, University of Arkansas, Fayettleville, Arkansas 72701)

  • Seung Hyun Kim

    (School of Business, Yonsei University, Seoul 120-479, Korea; and Department of Information Systems, National University of Singapore, Singapore 117417)

  • Sung S. Kim

    (Department of Operations and Information Management, Wisconsin School of Business, University of Wisconsin–Madison, Madison, Wisconsin 53706)

Abstract

The objective of this work is to examine various psychological forces underlying the behavior of people’s online gambling, an increasingly popular form of entertainment in the gaming industry. Drawing on extant theories, we first developed a model of how cumulative outcomes, recent outcomes, and prior use affect online gambling behavior differently. We empirically tested the model using longitudinal panel data collected over eight months from 22,304 actual users of a gambling website. The results of a multilevel panel data analysis strongly supported our hypotheses. First, consistent with gambling theory, individuals' online gambling was found to increase with any increase in a cumulative net gain or cumulative net loss. Second, as the availability heuristic prescribes, a recent loss reduced online gambling, whereas a recent gain increased it. Third, consistent with the literature on repeated behavior, regular use and extended use moderated the relationship between current and subsequent gambling. Taken together, the present study clarifies how people react differently to immediate and cumulative outcomes and also how regular use and extended use facilitate routine behavior in the context of online gambling. In general, our findings suggest that the three perspectives, i.e., gambling theory, the availability heuristic, and repeated behavior, should be taken into account to understand online gambling, which is in essence a series of risk-taking attempts with the potential of eventually becoming routine behavior. This study is expected to offer valuable insights into other types of online games that could engage people in risking real or cyber money and, at the same time, could be easily enmeshed with everyday life (e.g., fantasy sports, online virtual worlds).

Suggested Citation

  • Xiao Ma & Seung Hyun Kim & Sung S. Kim, 2014. "Online Gambling Behavior: The Impacts of Cumulative Outcomes, Recent Outcomes, and Prior Use," Information Systems Research, INFORMS, vol. 25(3), pages 511-527, September.
    • Handle: RePEc:inm:orisre:v:25:y:2014:i:3:p:511-527
    DOI: 10.1287/isre.2014.0517
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    as
    1. Rachel Croson & James Sundali, 2005. "The Gambler’s Fallacy and the Hot Hand: Empirical Data from Casinos," Journal of Risk and Uncertainty, Springer, vol. 30(3), pages 195-209, May.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Shaffer, H.J. & Hall, M.N. & Vander Bilt, J., 1999. "Estimating the prevalence of disordered gambling behavior in the United States and Canada: A research synthesis," American Journal of Public Health, American Public Health Association, vol. 89(9), pages 1369-1376.
    4. repec:bla:jfinan:v:53:y:1998:i:5:p:1775-1798 is not listed on IDEAS
    5. Adwait Khare & J. Jeffrey Inman, 2006. "Habitual Behavior in American Eating Patterns: The Role of Meal Occasions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(4), pages 567-575, March.
    6. Nicole DeHoratius & Ananth Raman, 2008. "Inventory Record Inaccuracy: An Empirical Analysis," Management Science, INFORMS, vol. 54(4), pages 627-641, April.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Massimo Massa & Andrei Simonov, 2005. "Behavioral Biases and Investment," Review of Finance, Springer, vol. 9(4), pages 483-507, December.
    9. June Cotte & Kathryn A. Latour, 2009. "Blackjack in the Kitchen: Understanding Online versus Casino Gambling," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(5), pages 742-758, September.
    10. Robert Kraut & Tridas Mukhopadhyay & Janusz Szczypula & Sara Kiesler & Bill Scherlis, 1999. "Information and Communication: Alternative Uses of the Internet in Households," Information Systems Research, INFORMS, vol. 10(4), pages 287-303, December.
    11. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    12. Jonathan Guryan & Melissa S. Kearney, 2008. "Gambling at Lucky Stores: Empirical Evidence from State Lottery Sales," American Economic Review, American Economic Association, vol. 98(1), pages 458-473, March.
    13. Charles T. Clotfelter & Philip J. Cook, 1989. "Selling Hope: State Lotteries in America," NBER Books, National Bureau of Economic Research, Inc, number clot89-1.
    14. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    15. Keasey, Kevin & Moon, Philip, 1996. "Gambling with the house money in capital expenditure decisions: An experimental analysis," Economics Letters, Elsevier, vol. 50(1), pages 105-110, January.
    16. Cook, Philip J & Clotfelter, Charles T, 1993. "The Peculiar Scale Economies of Lotto," American Economic Review, American Economic Association, vol. 83(3), pages 634-643, June.
    17. Richard H. Thaler & Eric J. Johnson, 1990. "Gambling with the House Money and Trying to Break Even: The Effects of Prior Outcomes on Risky Choice," Management Science, INFORMS, vol. 36(6), pages 643-660, June.
    18. Clyde W. Holsapple & Jiming Wu, 2008. "Building effective online game websites with knowledge-based trust," Information Systems Frontiers, Springer, vol. 10(1), pages 47-60, March.
    19. Sridhar Narayanan & Puneet Manchanda, 2012. "An empirical analysis of individual level casino gambling behavior," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 27-62, March.
    20. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    21. Soon Ang & Sandra Slaughter & Kok Yee Ng, 2002. "Human Capital and Institutional Determinants of Information Technology Compensation: Modeling Multilevel and Cross-Level Interactions," Management Science, INFORMS, vol. 48(11), pages 1427-1445, November.
    22. Randolph B. Cooper & Robert W. Zmud, 1990. "Information Technology Implementation Research: A Technological Diffusion Approach," Management Science, INFORMS, vol. 36(2), pages 123-139, February.
    23. Desmond Lam & Richard Mizerski, 2009. "An investigation into gambling purchases using the NBD and NBD–Dirichlet models," Marketing Letters, Springer, vol. 20(3), pages 263-276, September.
    24. Sung S. Kim & Naresh K. Malhotra & Sridhar Narasimhan, 2005. "Research Note—Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison," Information Systems Research, INFORMS, vol. 16(4), pages 418-432, December.
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    Cited by:

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    2. Shan, Wei & Qiao, Tong & Zhang, Mingli, 2020. "Getting more resources for better performance: The effect of user-owned resources on the value of user-generated content," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    3. Martin Adam & Konstantin Roethke & Alexander Benlian, 2022. "Gamblified digital product offerings: an experimental study of loot box menu designs," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 971-986, June.
    4. Sandra Schneider & Sandra Kauffman & Andrea Ranieri, 2016. "The effects of surrounding positive and negative experiences on risk taking," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 11(5), pages 424-440, September.
    5. Mamonov, Stanislav & Benbunan-Fich, Raquel, 2017. "Exploring factors affecting social e-commerce service adoption: The case of Facebook Gifts," International Journal of Information Management, Elsevier, vol. 37(6), pages 590-600.
    6. repec:cup:judgdm:v:11:y:2016:i:5:p:424-440 is not listed on IDEAS

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