Skip to main content

Strategic Behavior in Mobile Behavioral Intervention Platforms: Evidence from a Field Quasi-experiment on a Health Management App

  • Conference paper
  • First Online:
  • 1364 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10983))

Abstract

In recent years, people have witnessed the growing popularity of mobile health applications, which represents a promising solution for health management. Developers of such mobile apps routinely deploy incentive programs, in which users receive financial rewards after achieving certain performance goals. In this paper, we seek to identify the effects of financial incentives, and to take a close examination at strategic behavior of users who self-report their performance. Drawing on the behavioral economics literature on incentives, we leverage a field quasi-experiment on a mobile health application to identify the effect of financial incentives. Using a difference-in-differences framework, we find that financial rewards lead to improvements in weight loss performance during the intervention period compared to the control group without financial rewards, but the performance difference does not persist after the removal of financial rewards at the end of the intervention period (i.e. no post-intervention effect). More importantly, we find evidence of strategic behavior: participants tend to over-report their initial body weight so as to increase the likelihood to reach performance goals and obtain the rewards. Further, we find that certain social networking features could possibly mitigate strategic behavior. In particular, participants who have more social connections and social activities are less likely to behave strategically. Our study contributes to the IS literature on leveraging economic incentives for online behavioral interventions and provides insights for the implementation of such incentives on digital health management platforms.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    Strategic behavior appears with majority of incentive contracts, which may cause moral hazard issues. In our context, since the users self-report their weight records before and after the campaigns, there are a plenty of ways to overstate their weight-loss performance.

References

  1. Fox, S., Duggan, M.: Mobile health 2010. Pew Internet & American Life Project, Washington, DC (2010)

    Google Scholar 

  2. Statista (2017). https://www.statista.com/statistics/387867/value-of-worldwide-digital-health-market-forecast-by-segment/

  3. Charness, G., Gneezy, U.: Incentives to exercise. Econometrica 77(3), 909–931 (2009)

    Article  Google Scholar 

  4. Park, A.: The New Science of How to Quit Smoking. TIME Health (2015)

    Google Scholar 

  5. Kwon, H.E., So, H., Han, S.P., Oh, W.: Excessive dependence on mobile social apps: a rational addiction perspective. Inf. Syst. Res. 27(4), 919–939 (2016)

    Article  Google Scholar 

  6. Ghose, A., Han, S.P.: An empirical analysis of user content generation and usage behavior on the mobile internet. Manag. Sci. 57(9), 1671–1691 (2011)

    Article  Google Scholar 

  7. Yan, L., Tan, Y.: Feeling blue? Go online: an empirical study of social support among patients. Inf. Syst. Res. 25(4), 690–709 (2014)

    Article  MathSciNet  Google Scholar 

  8. Ghose, A., Goldfarb, A., Han, S.P.: How is the mobile internet different? Search costs and local activities. Information Systems Research 24(3), 613–631 (2013)

    Article  Google Scholar 

  9. Mayer, C., Morrison, E., Piskorski, T., Gupta, A.: Mortgage modification and strategic behavior: evidence from a legal settlement with Countrywide. Am. Econ. Rev. 104(9), 2830–2857 (2011)

    Article  Google Scholar 

  10. Gneezy, U., Meier, S., Rey-Biel, P.: When and why incentives (don’t) work to modify behavior. J. Econ. Perspect. 25(4), 191–209 (2011)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chunxiao Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, C., Gu, B., Guo, C. (2018). Strategic Behavior in Mobile Behavioral Intervention Platforms: Evidence from a Field Quasi-experiment on a Health Management App. In: Chen, H., Fang, Q., Zeng, D., Wu, J. (eds) Smart Health. ICSH 2018. Lecture Notes in Computer Science(), vol 10983. Springer, Cham. https://doi.org/10.1007/978-3-030-03649-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-03649-2_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03648-5

  • Online ISBN: 978-3-030-03649-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics