Strategic behavior in mobile behavioral intervention platforms: Evidence from a field quasi-experiment on a health management app

Chunxiao Li, Bin Gu, Chenhui Guo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationSmart Health - International Conference, ICSH 2018, Proceedings
EditorsHsinchun Chen, Daniel Zeng, Qing Fang, Jiang Wu
PublisherSpringer Verlag
Pages130-141
Number of pages12
ISBN (Print)9783030036485
DOIs
StatePublished - Jan 1 2018
EventInternational Conference on Smart Health, ICSH 2018 - Wuhan, China
Duration: Jul 1 2018Jul 3 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10983 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Smart Health, ICSH 2018
CountryChina
CityWuhan
Period7/1/187/3/18

Fingerprint

Incentives
Application programs
Reward
Health
Economics
Experiment
Experiments
Social Networking
Leverage
Evidence
mHealth
Likelihood
Likely
Tend

Keywords

  • Difference-in-differences
  • Digital behavioral interventions
  • Financial incentives
  • Mobile health apps
  • Quasi-experiment
  • Strategic behavior

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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 H. Chen, D. Zeng, Q. Fang, & J. Wu (Eds.), Smart Health - International Conference, ICSH 2018, Proceedings (pp. 130-141). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10983 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-03649-2_13

Strategic behavior in mobile behavioral intervention platforms : Evidence from a field quasi-experiment on a health management app. / Li, Chunxiao; Gu, Bin; Guo, Chenhui.

Smart Health - International Conference, ICSH 2018, Proceedings. ed. / Hsinchun Chen; Daniel Zeng; Qing Fang; Jiang Wu. Springer Verlag, 2018. p. 130-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10983 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 H Chen, D Zeng, Q Fang & J Wu (eds), Smart Health - International Conference, ICSH 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10983 LNCS, Springer Verlag, pp. 130-141, International Conference on Smart Health, ICSH 2018, Wuhan, China, 7/1/18. https://doi.org/10.1007/978-3-030-03649-2_13
Li C, Gu B, Guo C. Strategic behavior in mobile behavioral intervention platforms: Evidence from a field quasi-experiment on a health management app. In Chen H, Zeng D, Fang Q, Wu J, editors, Smart Health - International Conference, ICSH 2018, Proceedings. Springer Verlag. 2018. p. 130-141. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-03649-2_13
Li, Chunxiao ; Gu, Bin ; Guo, Chenhui. / Strategic behavior in mobile behavioral intervention platforms : Evidence from a field quasi-experiment on a health management app. Smart Health - International Conference, ICSH 2018, Proceedings. editor / Hsinchun Chen ; Daniel Zeng ; Qing Fang ; Jiang Wu. Springer Verlag, 2018. pp. 130-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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