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Gamified Challenges in Online Weight-Loss Communities

Author

Listed:
  • Behnaz Bojd

    (Paul Merage School of Business, University of California, Irvine, California 92697)

  • Xiaolong Song

    (School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian 116025, China)

  • Yong Tan

    (Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195)

  • Xiangbin Yan

    (School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China)

Abstract

Gamified challenges, one of the most popular features of online weight-loss communities, enable users to set weight-loss goals and compete with other challenge participants via leaderboards. In this paper, using the data from a leading online weight-loss community, we study the effect of gamified challenges on the weight-loss outcome. We employ a dynamic model, using a system generalized method of moments estimator combined with an inverse probability weighting approach, to address endogeneity issues. Our findings indicate that participation in gamified challenges has a positive and significant effect on weight loss. We found that, on average, the participants achieved a weight loss of 0.742 kilograms (kg) by participating in at least one challenge a month. We demonstrate that not all gamified challenges are equally effective; effective challenges do not include a numeric weight goal (e.g., lose 5 kg), focus on exercise-only behavioral goals, and have a large active group size. Further, the results show that the absence (presence) of a numeric weight goal benefits users in exercise (diet) challenges. Moreover, a small active group size can help (hurt) users in exercise (diet) challenges. We discuss, as a potential underlying mechanism, the role of leaderboards to induce social comparison and motivate (discourage) users in exercise (diet) challenges. Our findings have implications for designing gamified systems with competition elements in online weight-loss communities.

Suggested Citation

  • Behnaz Bojd & Xiaolong Song & Yong Tan & Xiangbin Yan, 2022. "Gamified Challenges in Online Weight-Loss Communities," Information Systems Research, INFORMS, vol. 33(2), pages 718-736, June.
    • Handle: RePEc:inm:orisre:v:33:y:2022:i:2:p:718-736
    DOI: 10.1287/isre.2021.1081
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    References listed on IDEAS

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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Brownell, K.D. & Cohen, R.Y. & Stunkard, A.J. & Felix, M.R. & Cooley, N.B., 1984. "Weight loss competitions at the work site: Impact on weight, morale and cost-effectiveness," American Journal of Public Health, American Public Health Association, vol. 74(11), pages 1283-1285.
    3. Lu (Lucy) Yan, 2018. "Good Intentions, Bad Outcomes: The Effects of Mismatches between Social Support and Health Outcomes in an Online Weight Loss Community," Production and Operations Management, Production and Operations Management Society, vol. 27(1), pages 9-27, January.
    4. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition, and stratification," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
    5. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    6. Cawley, John & Meyerhoefer, Chad, 2012. "The medical care costs of obesity: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 31(1), pages 219-230.
    7. Radhika Santhanam & De Liu & Wei-Cheng Milton Shen, 2016. "Research Note—Gamification of Technology-Mediated Training: Not All Competitions Are the Same," Information Systems Research, INFORMS, vol. 27(2), pages 453-465, June.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    10. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    11. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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