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Goals as Reference Points: Empirical Evidence from a Virtual Reward System

Author

Listed:
  • Tobias Mutter

    (University of Paderborn)

  • Dennis Kundisch

    (University of Paderborn)

Abstract

Heath et al. (1999) propose a prospect theory model for goal behavior which offers insights on how goals affect individual and group performance. Their analytical model is based on the assumption that goals inherit the main properties of the prospect theory value function, i.e., reference point dependence, loss aversion, and diminishing sensitivity. Evidence from laboratory experiments as well as first evidence from the field support this modeling choice. In this paper, we complement this work by investigating whether the main properties of the prospect theory value function transfer to goal behavior in the field. In particular, we analyze how individual performance is affected by the presence of goals. For our research, we take user activity data from a popular German Question & Answer community and analyze how users adjust their contribution behavior in the days surrounding goal achievement, where goals are represented by badges. We find that users gradually increase their performance in the days prior to earning a badge, with performance peaking on the day of the promotion. In subsequent days, user performance gradually diminishes again, with the decline being strongest on the day immediately following the badge achievement. Overall, user performance is higher in the days preceding badge achievement, compared to subsequent days. These findings reflect the characteristic S-shape of the prospect theory value function which is convex below the reference point and concave above it. Our results thus support the transferability of the main properties of the prospect theory value function to goal behavior in the field and suggest a distinct shape of the value function around goals.

Suggested Citation

  • Tobias Mutter & Dennis Kundisch, 2014. "Goals as Reference Points: Empirical Evidence from a Virtual Reward System," Working Papers Dissertations 19, Paderborn University, Faculty of Business Administration and Economics.
  • Handle: RePEc:pdn:dispap:19
    as

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    File URL: http://groups.uni-paderborn.de/wp-wiwi/RePEc/pdf/dispap/DP19.pdf
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    References listed on IDEAS

    as
    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    3. 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.
    4. 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..
    5. Quattrone, George A. & Tversky, Amos, 1988. "Contrasting Rational and Psychological Analyses of Political Choice," American Political Science Review, Cambridge University Press, vol. 82(3), pages 719-736, September.
    6. Mento, Anthony J. & Steel, Robert P. & Karren, Ronald J., 1987. "A meta-analytic study of the effects of goal setting on task performance: 1966-1984," Organizational Behavior and Human Decision Processes, Elsevier, vol. 39(1), pages 52-83, February.
    7. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    8. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    9. Lars Bo Jeppesen & Lars Frederiksen, 2006. "Why Do Users Contribute to Firm-Hosted User Communities? The Case of Computer-Controlled Music Instruments," Organization Science, INFORMS, vol. 17(1), pages 45-63, February.
    10. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    11. repec:bla:jfinan:v:53:y:1998:i:5:p:1775-1798 is not listed on IDEAS
    12. Latham, Gary P. & Locke, Edwin A., 1991. "Self-regulation through goal setting," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 212-247, December.
    13. Ran Kivetz & Oleg Urminsky & Yuhuang Zheng, 2006. "The Goal-Gradient Hypothesis Resurrected: Purchase Acceleration, Illusionary Goal Progress, and Customer Retention," Natural Field Experiments 00658, The Field Experiments Website.
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    More about this item

    Keywords

    Goal-Setting Theory; Prospect Theory; Value Function; Gamification; Badges;
    All these keywords.

    JEL classification:

    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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