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Behavioral implications of using an online slot machine game to motivate employees: A cautionary tale

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  • Kelly, Khim
  • Valtchanov, Deltcho
  • Webb, Alan

Abstract

Our study examines whether implementing a novel approach for incentivizing employees to engage in behavior desired by the company is associated with changes in employee behavior. We use proprietary data from a company using an online learning platform where employees could voluntarily participate in daily training. Employees who complete daily training modules and correctly answer quiz questions earn points that can be used to bid on gift cards through an online auction site. The company subsequently activated an option of allowing employees to also use their points to play an online slot machine with the possibility of winning the same gift cards available through the online auction site. Using psychology theory we predict that the arousal and excitement experienced from playing an online slot machine will lead to a positive association between the extent to which employees play the slot machine and the increase in: (1) the number of daily training modules they complete; and (2) the effort they exert to perform well on the related quizzes after the slot machine was introduced. Although the results support both of our predictions, we also find a significant decrease in the number of daily training modules completed by employees who chose not to play the slot machine as well as declines in both interest in playing the slot machine and training activity over time for employees who played. Overall, the effectiveness of implementing an online slot machine game on improving employee behavior seems short-term and limited to a sub-set employees who play, and may even generate negative effects for other employees who do not play. We identify implications for theory and practice.

Suggested Citation

  • Kelly, Khim & Valtchanov, Deltcho & Webb, Alan, 2021. "Behavioral implications of using an online slot machine game to motivate employees: A cautionary tale," Accounting, Organizations and Society, Elsevier, vol. 89(C).
    • Handle: RePEc:eee:aosoci:v:89:y:2021:i:c:s0361368220300805
    DOI: 10.1016/j.aos.2020.101196
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    1. Rohan Miller & Grant Michelson, 2013. "Fixing the Game? Legitimacy, Morality Policy and Research in Gambling," Journal of Business Ethics, Springer, vol. 116(3), pages 601-614, September.
    2. Alvin E. Roth & Axel Ockenfels, 2002. "Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet," American Economic Review, American Economic Association, vol. 92(4), pages 1093-1103, September.
    3. Christiane Bradler & Robert Dur & Susanne Neckermann & Arjan Non, 2016. "Employee Recognition and Performance: A Field Experiment," Management Science, INFORMS, vol. 62(11), pages 3085-3099, November.
    4. Rosenbaum, Paul R., 2010. "Design Sensitivity and Efficiency in Observational Studies," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 692-702.
    5. Mirco Tonin & Michael Vlassopoulos, 2015. "Corporate Philanthropy and Productivity: Evidence from an Online Real Effort Experiment," Management Science, INFORMS, vol. 61(8), pages 1795-1811, August.
    6. Kumar, Alok & Page, Jeremy K. & Spalt, Oliver G., 2011. "Religious beliefs, gambling attitudes, and financial market outcomes," Journal of Financial Economics, Elsevier, vol. 102(3), pages 671-708.
    7. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    8. Ku, Gillian & Malhotra, Deepak & Murnighan, J. Keith, 2005. "Towards a competitive arousal model of decision-making: A study of auction fever in live and Internet auctions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 96(2), pages 89-103, March.
    9. Luxi Shen & Ayelet Fishbach & Christopher K. Hsee, 2015. "The Motivating-Uncertainty Effect: Uncertainty Increases Resource Investment in the Process of Reward Pursuit," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 41(5), pages 1301-1315.
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