Does Premium Version Adoption in mHealth Improve User Engagement and Health-Related Outcomes?
References
- (2020) On the monetization of mobile apps. Internat. J. Res. Marketing 37(1):93–107.Google Scholar
- (2017) Exercise contagion in a global social network. Nature Comm. 8(1):1–8.Crossref, Google Scholar
- (1985) The psychology of sunk cost. Organ. Behav. Human Decision Processes 35(1):124–140.Crossref, Google Scholar
- (2021) Synthetic difference-in-differences. Amer. Econom. Rev. 111(12):4088–4118.Crossref, Google Scholar
- (2019) Behavioral modeling in weight loss interventions. Eur. J. Oper. Res. 272(3):1058–1072.Crossref, Google Scholar
- (2016) The sunk-cost fallacy in penny auctions. Rev. Econom. Stud. 83(1):58–86.Crossref, Google Scholar
- Baker A, Callaway B, Cunningham S, Goodman-Bacon A, Sant’Anna PH (2026) Difference-in-differences designs: A practitioner’s guide. J. Econom. Literature 64(2):498–557.Google Scholar
- (2022) Gamified challenges in online weight-loss communities. Inform. Systems Res. 33(2):718–736.Link, Google Scholar
- (2022) Educational campaigns for product labels: Evidence from on-shelf nutritional labeling. J. Marketing Res. 59(1):153–172.Crossref, Google Scholar
- Brickman P, Campbell DT (1971) Hedonic relativism and planning the good society. Appley MH, ed. Adaptation-Level Theory: A Symposium (Academic Press, New York), 287–305.Google Scholar
- (2021) Difference-in-differences with multiple time periods. J. Econometrics 225(2):200–230.Crossref, Google Scholar
- (1999) The econometrics and behavioral economics of escalation of commitment: A re-examination of Staw and Hoang’s NBA data. J. Econom. Behav. Organ. 39(1):59–82.Crossref, Google Scholar
- (2024) Browsing the aisles or browsing the app? How online grocery shopping is changing what we buy. Marketing Sci. 43(3):506–522.Link, Google Scholar
- (2011) Ironic effects of dietary supplementation: Illusory invulnerability created by taking dietary supplements licenses health-risk behaviors. Psych. Sci. 22(8):1081–1086.Crossref, Google Scholar
- (2020) Two-way fixed effects estimators with heterogeneous treatment effects. Amer. Econom. Rev. 110(9):2964–2996.Crossref, Google Scholar
- (2019) Fitbit’s new premium subscription service hopes to sway you with personalized data, challenges, and more. The Verge (August 28), https://www.theverge.com/2019/8/28/20835674/fitbit-premium-subscription-service-personalized-data-challenges.Google Scholar
- (2005) Goals as excuses or guides: The liberating effect of perceived goal progress on choice. J. Consumer Res. 32(3):370–377.Crossref, Google Scholar
- (2018) The properties and antecedents of hedonic decline. Annual Rev. Psych. 69(1):1–25.Crossref, Google Scholar
- (2022) Empowering patients using smart mobile health platforms: Evidence from a randomized field experiment. MIS Quart. 46(1):151–192.Crossref, Google Scholar
- (2022) Effects of payment on user engagement in online courses. J. Marketing Res. 59(1):11–34.Crossref, Google Scholar
- (2015) A dynamic model of rational addiction: Evaluating cigarette taxes. Marketing Sci. 34(3):452–470.Link, Google Scholar
- (1998) Payment depreciation: The behavioral effects of temporally separating payments from consumption. J. Consumer Res. 25(2):160–174.Crossref, Google Scholar
- (2017) Exploring the relationship between varieties of variety and weight loss: When more variety can help people lose weight. J. Marketing Res. 54(4):619–635.Crossref, Google Scholar
- (2018) Sunk cost fallacy in driving the world’s costliest cars. Management Sci. 64(4):1761–1778.Link, Google Scholar
- (2015) Short-run needs and long-term goals: A dynamic model of thirst management. Marketing Sci. 34(5):702–721.Link, Google Scholar
- (2017) Clicks as a healthy alternative to bricks: How online grocery shopping reduces vice purchases. J. Marketing Res. 54(1):61–74.Crossref, Google Scholar
- (2026) Does access to human coaches lead to more weight loss than with AI coaches alone? Marketing Sci. Forthcoming.Google Scholar
- (2016) Food for thought: The impact of m-health enabled interventions on eating behavior. Preprint, submitted February 23, https://doi.org/10.2139/ssrn.2736792.Google Scholar
- (2006) Licensing effect in consumer choice. J. Marketing Res. 43(2):259–266.Crossref, Google Scholar
- (2016) Will a fat tax work? Marketing Sci. 35(1):10–26.Link, Google Scholar
- (2022) Adherence to a caloric budget and body weight change vary by season, gender, and BMI: An observational study of daily users of a mobile health app. Obesity Sci. Practice 8(6):735–747.Crossref, Google Scholar
- (2017) Fee or free: When should firms charge for online content? Management Sci. 63(4):1150–1165.Link, Google Scholar
- (2019) Optimal design of free samples for digital products and services. J. Marketing Res. 56(3):419–438.Crossref, Google Scholar
- (2024) The value of virtual engagement: Evidence from a running platform. Management Sci. 70(9):6179–6201.Abstract, Google Scholar
- (2013) Soda versus cereal and sugar versus fat: Drivers of healthful food intake and the impact of diabetes diagnosis. J. Marketing 77(3):101–120.Crossref, Google Scholar
- Murnane EL, Huffaker D, Kossinets G (2015) Mobile health apps: Adoption, adherence, and abandonment. Mase K, Langheinrich M, Gatica-Perez D, Gellersen H, Choudhury T, Yatani K, eds. UbiComp/ISWC ’15 Adjunct: Adjunct Proc. 2015 ACM Internat. Joint Conf. Pervasive and Ubiquitous Comput. and Proc. 2015 ACM Internat. Sympos. Wearable Comput. (Association for Computing Machinery, New York), 261–264. Google Scholar
- (2023) Incentives to work out: Evidence from field experiments. Working paper.Google Scholar
- (2019) Mobile marketing 2.0: State of the art and research agenda. Rindfleisch A, Malter AJ, eds. Marketing in a Digital World, Review of Marketing Research, vol. 16 (Emerald Publishing Limited, Leeds, UK), 97–119.Google Scholar
- (2023) Frontiers: Estimating the long-term impact of major events on consumption patterns: Evidence from COVID-19. Marketing Sci. 42(5):839–852.Link, Google Scholar
- (2017) The effect of calorie posting regulation on consumer opinion: A flexible latent Dirichlet allocation model with informative priors. Marketing Sci. 36(5):726–746.Link, Google Scholar
- (2023) A more credible approach to parallel trends. Rev. Econom. Stud. 90(5):2555–2591.Crossref, Google Scholar
- (2017) Demand for “healthy” products: False claims and FTC regulation. J. Marketing Res. 54(6):968–989.Crossref, Google Scholar
- (2023) What’s trending in difference-in-differences? A synthesis of the recent econometrics literature. J. Econometrics 235(2):2218–2244.Crossref, Google Scholar
- (2009) Sinning saints and saintly sinners: The paradox of moral self-regulation. Psych. Sci. 20(4):523–528.Crossref, Google Scholar
- (2021) The impact of soda taxes: Pass-through, tax avoidance, and nutritional effects. J. Marketing Res. 58(1):22–49.Crossref, Google Scholar
- (2019) Variety seeking, satiation, and maximizing enjoyment over time. J. Consumer Psych. 29(1):89–103.Crossref, Google Scholar
- (2015) How can weight-loss app designers’ best engage and support users? A qualitative investigation. British J. Health Psych. 20(1):151–171.Crossref, Google Scholar
- (2017) Harnessing the small victories: Goal design strategies for a mobile calorie and weight loss tracking application. Preprint, submitted March 7, https://doi.org/10.2139/ssrn.2928441.Google Scholar
- (2020) Inspiration from the “biggest loser”: Social interactions in a weight loss program. Marketing Sci. 39(3):487–499.Link, Google Scholar
- (2009) Vicarious goal fulfillment: When the mere presence of a healthy option leads to an ironically indulgent decision. J. Consumer Res. 36(3):380–393.Crossref, Google Scholar
- (2018) Evaluating machine learning–based automated personalized daily step goals delivered through a mobile phone app: Randomized controlled trial. JMIR mHealth uHealth 6(1):e28.Crossref, Google Scholar

