Pay, Pat, and Clawback: Incentivizing Service Providers’ Participation in On-Demand Digital Platforms
Published Online:24 Dec 2024https://doi.org/10.1287/mnsc.2023.02603
References
- (2023) Putting teams into the gig economy: A field experiment at a ride-sharing platform. Management Sci. 69(9):5336–5353.Link, Google Scholar
- (2023) The impact of behavioral and economic drivers on gig economy workers. Manufacturing Service Oper. Management 25(4):1376–1393.Link, Google Scholar
- (2020) Hidden transcripts of the gig economy: Labour agency and the new art of resistance among African gig workers. Environ. Planning A Econom. Space 52(7):1269–1291.Crossref, Google Scholar
- (2008) Man’s search for meaning: The case of Legos. J. Econom. Behav. Organ. 67(3–4):671–677.Crossref, Google Scholar
- (2019) Coordinating supply and demand on an on-demand service platform with impatient customers. Manufacturing Service Oper. Management 21(3):556–570.Link, Google Scholar
- (1990) Agency research in management accounting: A second look. Accounting Organ. Soc. 15(4):341–371.Crossref, Google Scholar
- (2020) Platform competition with multihoming on both sides: Subsidize or not? Management Sci. 66(12):5599–5607.Link, Google Scholar
- (2016) Multi-objective pricing for shared vehicle systems. Preprint, submitted August 24, https://arxiv.org/abs/1608.06819v1.Google Scholar
- (2015) Pricing in ride-share platforms: A queueing-theoretic approach. Preprint, submitted February 10, http://dx.doi.org/10.2139/ssrn.2568258.Google Scholar
- (2019) Spatial pricing in ride-sharing networks. Oper. Res. 67(3):744–769.Link, Google Scholar
- (2018) Assessing time-varying causal effect moderation in mobile health. J. Amer. Statist. Assoc. 113(523):1112–1121.Crossref, Google Scholar
- (2018) The morale effects of pay inequality. Quart. J. Econom. 133(2):611–663.Crossref, Google Scholar
- (2018) Stimulating online reviews by combining financial incentives and social norms. Management Sci. 64(5):2065–2082.Link, Google Scholar
- (2017) The role of surge pricing on a service platform with self-scheduling capacity. Manufacturing Service Oper. Management 19(3):368–384.Link, Google Scholar
- (2017) Surge pricing solves the wild goose chase. Parkes DC, ed. Proc. 2017 ACM Conf. Econom. Comput. (Association for Computing Machinery, New York), 241–242.Google Scholar
- (2019) The rating game: The discipline of Uber’s user-generated ratings. Surveillance Soc. 17(1/2):183–190.Crossref, Google Scholar
- (2013) Breaking monotony with meaning: Motivation in crowdsourcing markets. J. Econom. Behav. Organ. 90:123–133.Crossref, Google Scholar
- (2018) Thrown under the bus and outrunning it! The logic of DiDi and taxi drivers’ labour and activism in the on-demand economy. New Media Soc. 20(8):2691–2711.Crossref, Google Scholar
- (2016) Research note—Are online labor markets spot markets for tasks? A field experiment on the behavioral response to wage cuts. Inform. Systems Res. 27(2):403–423.Link, Google Scholar
- (2019) Monetary incentive and stock opinions on social media. J. Management Inform. Systems 36(2):391–417.Crossref, Google Scholar
- (2022) The incentive game under target effects in ridesharing: A structural econometric analysis. Manufacturing Service Oper. Management 24(2):972–992.Link, Google Scholar
- (2016) The on-demand economy is growing, and not just for the young and wealthy. Harvard Bus. Rev. (April 14), https://hbr.org/2016/04/the-on-demand-economy-is-growing-and-not-just-for-the-young-and-wealthy.Google Scholar
- (1971) Effects of externally mediated rewards on intrinsic motivation. J. Personality Soc. Psych. 18(1):105–115.Crossref, Google Scholar
- (1975) Intrinsic Motivation (Plenum Press, New York).Crossref, Google Scholar
- (1980) The empirical exploration of intrinsic motivational processes. Berkowitz L, ed. Advances in Experimental Social Psychology, vol. 13 (Elsevier, Amsterdam), 39–80.Google Scholar
- (1985) Intrinsic Motivation and Self-Determination in Human Behavior (Springer, Boston), 43–85.Crossref, Google Scholar
- (1999) A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psych. Bull. 125(6):627–668.Crossref, Google Scholar
- (2016) Why individuals participate in micro-task crowdsourcing work environment: Revealing crowdworkers’ perceptions. J. Assoc. Inform. Systems 17(10):648–673.Google Scholar
- (2020) Algorithmic management and app-work in the gig economy: A research agenda for employment relations and HRM. Human Resource Management J. 30(1):114–132.Crossref, Google Scholar
- (2019) Unfairness by design? The perceived fairness of digital labor on crowdworking platforms. J. Bus. Ethics 156(4):987–1005.Crossref, Google Scholar
- (2013) The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for healthcare consumers: A systematic review. PLoS Medicine 10(1):e1001362.Crossref, Google Scholar
- (2001) Motivation crowding theory. J. Econom. Surveys 15(5):589–611.Crossref, Google Scholar
- (2014) Workers without employers: Shadow corporations and the rise of the gig economy. Rev. Keynesian Econom. 2(2):171–188.Crossref, Google Scholar
- (2017) Datification and its human, organizational and societal effects. J. Strategic Inform. Systems 26(3):185–190.Crossref, Google Scholar
- (2023) Uber, Lyft drivers demand better benefits and clarity about pay. Sahan Journal (January 12), http://sahanjournal.com/business-work/uber-lyft-drivers-ride-share-labor-organizing-minneapolis-city-council/.Google Scholar
- (2014) Bridging differing perspectives on technological platforms: Toward an integrative framework. Res. Policy 43(7):1239–1249.Crossref, Google Scholar
- (2000) Pay enough or don’t pay at all. Quart. J. Econom. 115(3):791–810.Crossref, Google Scholar
- (2019) An expandable approach for design and personalization of digital, just-in-time adaptive interventions. J. Amer. Medical Informatics Assoc. 26(3):198–210.Crossref, Google Scholar
- (2019) Your Uber is arriving: Managing on-demand workers through surge pricing, forecast communication, and worker incentives. Management Sci. 65(5):1995–2014.Abstract, Google Scholar
- (2012) Meta-organization design: Rethinking design in interorganizational and community contexts. Strategic Management J. 33(6):571–586.Crossref, Google Scholar
- (2019) Operations in the on-demand economy: Staffing services with self-scheduling capacity. Hu M, ed. Sharing Economy: Making Supply Meet Demand (Springer, Cham, Switzerland), 249–278.Crossref, Google Scholar
- (2022) Stress and the gig economy: It’s not all shifts and giggles. Indust. Health 61(2):140–150.Crossref, Google Scholar
- (2019) A systematic review of just-in-time adaptive interventions (JITAIs) to promote physical activity. Internat. J. Behav. Nutrition Phys. Activity 16(1):1–21.Crossref, Google Scholar
- (2017) Neo-villeiny and the service sector: The case of hyper flexible and precarious work in fitness centres. Work Employment Soc. 31(1):19–35.Crossref, Google Scholar
- (2022) Surge pricing and short-term wage elasticity of labor supply in real-time ridesharing markets. MIS Quart. 46(1):193–228.Crossref, Google Scholar
- (2020) Price, wage, and fixed commission in on-demand matching. Preprint, submitted August 31, http://dx.doi.org/10.2139/ssrn.2949513.Google Scholar
- Huber PJ (1967) The behavior of maximum likelihood estimates under nonstandard conditions. Proc. Fifth Berkeley Sympos. Math. Statist. Probab., vol. 1 (University of California Press, Berkeley), 221–233.Google Scholar
- (1951) The social and psychological impact of a change in method of wage payment. Human Relations 4(4):315–340.Crossref, Google Scholar
- (2021) Making the most of your regret: Workers’ relocation decisions in on-demand platforms. Manufacturing Service Oper. Management 23(3):695–713.Link, Google Scholar
- (1996) Applications of GEE Methodology Using the SAS System (SAS Institute Inc., Cary, NC).Google Scholar
- (2022) Secretive algorithm will now determine Uber driver pay in many cities. The Markup (March 1), https://themarkup.org/working-for-an-algorithm/2022/03/01/secretive-algorithm-will-now-determine-uber-driver-pay-in-many-cities.Google Scholar
- (2018) Extrinsic vs. intrinsic rewards for contributing reviews in an online platform. Inform. Systems Res. 29(4):871–892.Link, Google Scholar
- (2015) Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psych. 34S(0):1220–1228.Crossref, Google Scholar
- (2019) Efficacy of contextually tailored suggestions for physical activity: A micro-randomized optimization trial of HeartSteps. Ann. Behav. Medicine 53(6):573–582.Crossref, Google Scholar
- (2019) Spillover effects of financial incentives on non-incentivized user engagement: Evidence from an online knowledge exchange platform. J. Management Inform. Systems 36(1):289–320.Crossref, Google Scholar
- (2017) Micro-entrepreneurs, dependent contractors, and instaserfs: Understanding online labor platform workforces. Acad. Management Perspect. 31(3):183–200.Crossref, Google Scholar
- (2019) The global platform economy: A new offshoring institution enabling emerging-economy microproviders. J. Management 45(2):567–599.Crossref, Google Scholar
- (2021) Information transparency, multihoming, and platform competition: A natural experiment in the daily deals market. Management Sci. 67(7):4384–4407.Link, Google Scholar
- (2022) Package ‘MRTSampleSize’: A sample size calculator for micro-randomized trials. R package version 0.3.0. https://cran.r-project.org/web/packages/MRTSampleSize/MRTSampleSize.pdf.Google Scholar
- (2016) Sample size calculations for micro-randomized trials in mHealth. Statist. Medicine 35(12):1944–1971.Crossref, Google Scholar
- (2006) Fine enough or don’t fine at all. J. Econom. Behav. Organ. 59(2):195–213.Crossref, Google Scholar
- (2019) Work-games in the gig-economy: A case study of Uber drivers in the city of Monterrey, Mexico. Vallas SP, Kovalainen A, eds. Work and Labor in the Digital Age. Research in the Sociology of Work, vol. 33 (Emerald Publishing Limited, Leeds, UK), 165–188.Crossref, Google Scholar
- (2019) Chasing the pink. Logic(s) (January 1), https://logicmag.io/play/chasing-the-pink/.Google Scholar
- (2018) Taylorooism: When network technology meets corporate power. Indust. Relations J. 49(5–6):459–472.Crossref, Google Scholar
- (2019) Conceptualizing human resource management in the gig economy: Toward a platform ecosystem perspective. J. Managerial Psych. 34(4):214–232.Crossref, Google Scholar
- (2017) Toward understanding the effects of individual gamification elements on intrinsic motivation and performance. Comput. Human Behav. 71:525–534.Crossref, Google Scholar
- (2019) What people hate about being managed by algorithms, according to a study of Uber drivers. Harvard Bus. Rev. (August 30), https://hbr.org/2019/08/what-people-hate-about-being-managed-by-algorithms-according-to-a-study-of-uber-drivers.Google Scholar
- (2020) Algorithmic management of work on online labor platforms: When matching meets control. MIS Quart. 45(4):1–54.Google Scholar
- (2014) The behavioral intervention technology model: An integrated conceptual and technological framework for eHealth and mHealth interventions. J. Medical Internet Res. 16(6):e3077.Crossref, Google Scholar
- (2022) Being watched and being seen: Negotiating visibility in the NYC ride-hail circuit. New Media Soc. 24(3):600–620.Crossref, Google Scholar
- (2013) Mobile phone applications for the care and prevention of HIV and other sexually transmitted diseases: A review. J. Medical Internet Res. 15(1):e2301.Crossref, Google Scholar
- (2010) Neural basis of the undermining effect of monetary reward on intrinsic motivation. Proc. Natl. Acad. Sci. USA 107(49):20911–20916.Crossref, Google Scholar
- (2002) Monitoring, motivation, and management: The determinants of opportunistic behavior in a field experiment. Amer. Econom. Rev. 92(4):850–873.Crossref, Google Scholar
- (2018) Just-in-time adaptive interventions (JITAIs) in mobile health: Key components and design principles for ongoing health behavior support. Ann. Behav. Medicine 52(6):446–462.Crossref, Google Scholar
- (2020) Assessing real-time moderation for developing adaptive mobile health interventions for medical interns: Micro-randomized trial. J. Medical Internet Res. 22(3):e15033.Crossref, Google Scholar
- (2015) Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ‘datification’. J. Strategic Inform. Systems 24(1):3–14.Crossref, Google Scholar
- (2017) Thickness and competition in ride-sharing markets. Preprint, submitted August 1, http://dx.doi.org/10.2139/ssrn.3065672.Google Scholar
- (1994) A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data. Comm. Statist. Simulation Comput. 23(4):939–951.Crossref, Google Scholar
- (2015) Effects of intrinsic and extrinsic motivation on user-generated content. J. Strategic Marketing 23(4):305–317.Crossref, Google Scholar
- (2010) A motivational model of video game engagement. Rev. General Psych. 14(2):154–166.Crossref, Google Scholar
- (2020) The micro-randomized trial for developing digital interventions: Data analysis methods. Preprint, submitted April 21, https://arxiv.org/abs/2004.10241.Google Scholar
- (2020) Financial incentives dampen altruism in online prosocial contributions: A study of online reviews. Inform. Systems Res. 31(4):1361–1375.Link, Google Scholar
- (2020) Platforms, markets, and contingent calculation: The flexible arrangement of the delivered meal. Antipode 52(3):619–636.Crossref, Google Scholar
- (2021) Platform competition: A systematic and interdisciplinary review of the literature. J. Management 47(6):1528–1563.Crossref, Google Scholar
- (2010) On the meaning of work: A theoretical integration and review. Res. Organ. Behav. 30:91–127.Crossref, Google Scholar
- (2000) Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Amer. Psych. 55(1):68–78.Crossref, Google Scholar
- (2015) Gamification in theory and action: A survey. Internat. J. Human Comput. Stud. 74:14–31.Crossref, Google Scholar
- (2007) Class Acts: Service and Inequality in Luxury Hotels (University of California Press, Oakland).Crossref, Google Scholar
- (2015) Network effects in alternative fuel adoption: Empirical analysis of the market for ethanol. Marketing Sci. 34(1):78–97.Link, Google Scholar
- (2017) What’s Yours Is Mine: Against the Sharing Economy (OR Books, New York).Crossref, Google Scholar
- (2013) Healthy apps: Mobile devices for continuous monitoring and intervention. IEEE Pulse 4(6):34–40.Crossref, Google Scholar
- (2017) Regulating work in the gig economy: What are the options? Econom. Labour Relations Rev. 28(3):420–437.Crossref, Google Scholar
- (2018) On-demand service platforms. Manufacturing Service Oper. Management 20(4):704–720.Link, Google Scholar
- (2017) The ‘gig economy’: Employee, self-employed or the need for a special employment regulation? Transfer 23(2):193–205.Crossref, Google Scholar
- (2021) Odds stacked against workers: Datafied gamification on Chinese and American food delivery platforms. Socio-Econom. Rev. 19(4):1345–1367.Crossref, Google Scholar
- (2022) Gamification and work games: Examining consent and resistance among Uber drivers. New Media Soc. 24(4):866–886.Crossref, Google Scholar
- (1964) Work and Motivation (Wiley, New York).Google Scholar
- (2016) Monetary incentives, online reviews, and product sales: An empirical investigation. Gupta A, ed. Proc. Internat. Conf. Inform. Systems 2016 (Association for Information Systems, Dublin, Ireland).Google Scholar
- (2018) Uberization in Paris—The issue of trust between a digital platform and digital workers. Critical Perspect. Internat. Bus. 15(1):20–41.Crossref, Google Scholar
- (2023) The interplay of earnings, ratings, and penalties on sharing platforms: An empirical investigation. Management Sci. 69(10):6128–6146.Link, Google Scholar
- (2017) The current and future state of the sharing economy. Preprint, submitted March 17, http://dx.doi.org/10.2139/ssrn.3041207.Google Scholar
- (2022) Virtual teams in a gig economy. Proc. Natl. Acad. Sci. USA 119(51):e2206580119.Crossref, Google Scholar

