Pay, Pat, and Clawback: Incentivizing Service Providers’ Participation in On-Demand Digital Platforms

Published Online:https://doi.org/10.1287/mnsc.2023.02603

References

  • Ai W, Chen Y, Mei Q, Ye J, Zhang L (2023) Putting teams into the gig economy: A field experiment at a ride-sharing platform. Management Sci. 69(9):5336–5353.LinkGoogle Scholar
  • Allon G, Cohen MC, Sinchaisri WP (2023) The impact of behavioral and economic drivers on gig economy workers. Manufacturing Service Oper. Management 25(4):1376–1393.LinkGoogle Scholar
  • Anwar MA, Graham M (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.CrossrefGoogle Scholar
  • Ariely D, Kamenica E, Prelec D (2008) Man’s search for meaning: The case of Legos. J. Econom. Behav. Organ. 67(3–4):671–677.CrossrefGoogle Scholar
  • Bai J, So KC, Tang CS, Chen X, Wang H (2019) Coordinating supply and demand on an on-demand service platform with impatient customers. Manufacturing Service Oper. Management 21(3):556–570.LinkGoogle Scholar
  • Baiman S (1990) Agency research in management accounting: A second look. Accounting Organ. Soc. 15(4):341–371.CrossrefGoogle Scholar
  • Bakos Y, Halaburda H (2020) Platform competition with multihoming on both sides: Subsidize or not? Management Sci. 66(12):5599–5607.LinkGoogle Scholar
  • Banerjee S, Freund D, Lykouris T (2016) Multi-objective pricing for shared vehicle systems. Preprint, submitted August 24, https://arxiv.org/abs/1608.06819v1.Google Scholar
  • Banerjee S, Riquelme C, Johari R (2015) Pricing in ride-share platforms: A queueing-theoretic approach. Preprint, submitted February 10, http://dx.doi.org/10.2139/ssrn.2568258.Google Scholar
  • Bimpikis K, Candogan O, Saban D (2019) Spatial pricing in ride-sharing networks. Oper. Res. 67(3):744–769.LinkGoogle Scholar
  • Boruvka A, Almirall D, Witkiewitz K, Murphy SA (2018) Assessing time-varying causal effect moderation in mobile health. J. Amer. Statist. Assoc. 113(523):1112–1121.CrossrefGoogle Scholar
  • Breza E, Kaur S, Shamdasani Y (2018) The morale effects of pay inequality. Quart. J. Econom. 133(2):611–663.CrossrefGoogle Scholar
  • Burtch G, Hong Y, Bapna R, Griskevicius V (2018) Stimulating online reviews by combining financial incentives and social norms. Management Sci. 64(5):2065–2082.LinkGoogle Scholar
  • Cachon GP, Daniels KM, Lobel R (2017) The role of surge pricing on a service platform with self-scheduling capacity. Manufacturing Service Oper. Management 19(3):368–384.LinkGoogle Scholar
  • Castillo JC, Knoepfle D, Weyl G (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
  • Chan NK (2019) The rating game: The discipline of Uber’s user-generated ratings. Surveillance Soc. 17(1/2):183–190.CrossrefGoogle Scholar
  • Chandler D, Kapelner A (2013) Breaking monotony with meaning: Motivation in crowdsourcing markets. J. Econom. Behav. Organ. 90:123–133.CrossrefGoogle Scholar
  • Chen JY (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.CrossrefGoogle Scholar
  • Chen DL, Horton JJ (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.LinkGoogle Scholar
  • Chen H, Hu YJ, Huang S (2019) Monetary incentive and stock opinions on social media. J. Management Inform. Systems 36(2):391–417.CrossrefGoogle Scholar
  • Chen X, Li Z, Ming L, Zhu W (2022) The incentive game under target effects in ridesharing: A structural econometric analysis. Manufacturing Service Oper. Management 24(2):972–992.LinkGoogle Scholar
  • Colby C, Bell K (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
  • Deci EL (1971) Effects of externally mediated rewards on intrinsic motivation. J. Personality Soc. Psych. 18(1):105–115.CrossrefGoogle Scholar
  • Deci EL (1975) Intrinsic Motivation (Plenum Press, New York).CrossrefGoogle Scholar
  • Deci EL, Ryan RM (1980) The empirical exploration of intrinsic motivational processes. Berkowitz L, ed. Advances in Experimental Social Psychology, vol. 13 (Elsevier, Amsterdam), 39–80.Google Scholar
  • Deci EL, Ryan RM (1985) Intrinsic Motivation and Self-Determination in Human Behavior (Springer, Boston), 43–85.CrossrefGoogle Scholar
  • Deci EL, Koestner R, Ryan RM (1999) A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psych. Bull. 125(6):627–668.CrossrefGoogle Scholar
  • Deng XN, Joshi KD (2016) Why individuals participate in micro-task crowdsourcing work environment: Revealing crowdworkers’ perceptions. J. Assoc. Inform. Systems 17(10):648–673.Google Scholar
  • Duggan J, Sherman U, Carbery R, McDonnell A (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.CrossrefGoogle Scholar
  • Fieseler C, Bucher E, Hoffmann CP (2019) Unfairness by design? The perceived fairness of digital labor on crowdworking platforms. J. Bus. Ethics 156(4):987–1005.CrossrefGoogle Scholar
  • Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, Patel V, Haines A (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.CrossrefGoogle Scholar
  • Frey BS, Jegen R (2001) Motivation crowding theory. J. Econom. Surveys 15(5):589–611.CrossrefGoogle Scholar
  • Friedman G (2014) Workers without employers: Shadow corporations and the rise of the gig economy. Rev. Keynesian Econom. 2(2):171–188.CrossrefGoogle Scholar
  • Galliers RD, Newell S, Shanks G, Topi H (2017) Datification and its human, organizational and societal effects. J. Strategic Inform. Systems 26(3):185–190.CrossrefGoogle Scholar
  • Galvan A (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
  • Gawer A (2014) Bridging differing perspectives on technological platforms: Toward an integrative framework. Res. Policy 43(7):1239–1249.CrossrefGoogle Scholar
  • Gneezy U, Rustichini A (2000) Pay enough or don’t pay at all. Quart. J. Econom. 115(3):791–810.CrossrefGoogle Scholar
  • Gonul S, Namli T, Huisman S, Laleci Erturkmen GB, Toroslu IH, Cosar A (2019) An expandable approach for design and personalization of digital, just-in-time adaptive interventions. J. Amer. Medical Informatics Assoc. 26(3):198–210.CrossrefGoogle Scholar
  • Guda H, Subramanian U (2019) Your Uber is arriving: Managing on-demand workers through surge pricing, forecast communication, and worker incentives. Management Sci. 65(5):1995–2014.AbstractGoogle Scholar
  • Gulati R, Puranam P, Tushman M (2012) Meta-organization design: Rethinking design in interorganizational and community contexts. Strategic Management J. 33(6):571–586.CrossrefGoogle Scholar
  • Gurvich I, Lariviere M, Moreno A (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.CrossrefGoogle Scholar
  • Hafeez S, Gupta C, Sprajcer M (2022) Stress and the gig economy: It’s not all shifts and giggles. Indust. Health 61(2):140–150.CrossrefGoogle Scholar
  • Hardeman W, Houghton J, Lane K, Jones A, Naughton F (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.CrossrefGoogle Scholar
  • Harvey G, Rhodes C, Vachhani SJ, Williams K (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.CrossrefGoogle Scholar
  • He S, Qiu L, Cheng X (2022) Surge pricing and short-term wage elasticity of labor supply in real-time ridesharing markets. MIS Quart. 46(1):193–228.CrossrefGoogle Scholar
  • Hu M, Zhou Y (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
  • Jaques E, Rice A, Hill J (1951) The social and psychological impact of a change in method of wage payment. Human Relations 4(4):315–340.CrossrefGoogle Scholar
  • Jiang ZZ, Kong G, Zhang Y (2021) Making the most of your regret: Workers’ relocation decisions in on-demand platforms. Manufacturing Service Oper. Management 23(3):695–713.LinkGoogle Scholar
  • Johnston G, Stokes M (1996) Applications of GEE Methodology Using the SAS System (SAS Institute Inc., Cary, NC).Google Scholar
  • Kerr D (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
  • Khern-am nuai W, Kannan K, Ghasemkhani H (2018) Extrinsic vs. intrinsic rewards for contributing reviews in an online platform. Inform. Systems Res. 29(4):871–892.LinkGoogle Scholar
  • Klasnja P, Hekler EB, Shiffman S, Boruvka A, Almirall D, Tewari A, Murphy SA (2015) Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psych. 34S(0):1220–1228.CrossrefGoogle Scholar
  • Klasnja P, Smith S, Seewald NJ, Lee A, Hall K, Luers B, Hekler EB, Murphy SA (2019) Efficacy of contextually tailored suggestions for physical activity: A micro-randomized optimization trial of HeartSteps. Ann. Behav. Medicine 53(6):573–582.CrossrefGoogle Scholar
  • Kuang L, Huang N, Hong Y, Yan Z (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.CrossrefGoogle Scholar
  • Kuhn KM, Maleki A (2017) Micro-entrepreneurs, dependent contractors, and instaserfs: Understanding online labor platform workforces. Acad. Management Perspect. 31(3):183–200.CrossrefGoogle Scholar
  • Lehdonvirta V, Kässi O, Hjorth I, Barnard H, Graham M (2019) The global platform economy: A new offshoring institution enabling emerging-economy microproviders. J. Management 45(2):567–599.CrossrefGoogle Scholar
  • Li H, Zhu F (2021) Information transparency, multihoming, and platform competition: A natural experiment in the daily deals market. Management Sci. 67(7):4384–4407.LinkGoogle Scholar
  • Liao P, Huang L, Seewald NJ, Sun J (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
  • Liao P, Klasnja P, Tewari A, Murphy SA (2016) Sample size calculations for micro-randomized trials in mHealth. Statist. Medicine 35(12):1944–1971.CrossrefGoogle Scholar
  • Lin CC, Yang C (2006) Fine enough or don’t fine at all. J. Econom. Behav. Organ. 59(2):195–213.CrossrefGoogle Scholar
  • Manriquez M (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.CrossrefGoogle Scholar
  • Mason S (2019) Chasing the pink. Logic(s) (January 1), https://logicmag.io/play/chasing-the-pink/.Google Scholar
  • McGaughey E (2018) Taylorooism: When network technology meets corporate power. Indust. Relations J. 49(5–6):459–472.CrossrefGoogle Scholar
  • Meijerink J, Keegan A (2019) Conceptualizing human resource management in the gig economy: Toward a platform ecosystem perspective. J. Managerial Psych. 34(4):214–232.CrossrefGoogle Scholar
  • Mekler ED, Brühlmann F, Tuch AN, Opwis K (2017) Toward understanding the effects of individual gamification elements on intrinsic motivation and performance. Comput. Human Behav. 71:525–534.CrossrefGoogle Scholar
  • Möhlmann M, Henfridsson O (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
  • Möhlmann M, Zalmanson L, Henfridsson O, Gregory RW (2020) Algorithmic management of work on online labor platforms: When matching meets control. MIS Quart. 45(4):1–54.Google Scholar
  • Mohr DC, Schueller SM, Montague E, Burns MN, Rashidi P (2014) The behavioral intervention technology model: An integrated conceptual and technological framework for eHealth and mHealth interventions. J. Medical Internet Res. 16(6):e3077.CrossrefGoogle Scholar
  • Mosseri S (2022) Being watched and being seen: Negotiating visibility in the NYC ride-hail circuit. New Media Soc. 24(3):600–620.CrossrefGoogle Scholar
  • Muessig KE, Pike EC, LeGrand S, Hightow-Weidman LB (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.CrossrefGoogle Scholar
  • Murayama K, Matsumoto M, Izuma K, Matsumoto K (2010) Neural basis of the undermining effect of monetary reward on intrinsic motivation. Proc. Natl. Acad. Sci. USA 107(49):20911–20916.CrossrefGoogle Scholar
  • Nagin DS, Rebitzer JB, Sanders S, Taylor LJ (2002) Monitoring, motivation, and management: The determinants of opportunistic behavior in a field experiment. Amer. Econom. Rev. 92(4):850–873.CrossrefGoogle Scholar
  • Nahum-Shani I, Smith SN, Spring BJ, Collins LM, Witkiewitz K, Tewari A, Murphy SA (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.CrossrefGoogle Scholar
  • NeCamp T, Sen S, Frank E, Walton MA, Ionides EL, Fang Y, Tewari A, Wu Z (2020) Assessing real-time moderation for developing adaptive mobile health interventions for medical interns: Micro-randomized trial. J. Medical Internet Res. 22(3):e15033.CrossrefGoogle Scholar
  • Newell S, Marabelli M (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.CrossrefGoogle Scholar
  • Nikzad A (2017) Thickness and competition in ride-sharing markets. Preprint, submitted August 1, http://dx.doi.org/10.2139/ssrn.3065672.Google Scholar
  • Pepe M, Anderson GL (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.CrossrefGoogle Scholar
  • Poch R, Martin B (2015) Effects of intrinsic and extrinsic motivation on user-generated content. J. Strategic Marketing 23(4):305–317.CrossrefGoogle Scholar
  • Przybylski AK, Rigby CS, Ryan RM (2010) A motivational model of video game engagement. Rev. General Psych. 14(2):154–166.CrossrefGoogle Scholar
  • Qian T, Russell MA, Collins LM, Klasnja P, Lanza ST, Yoo H, Murphy SA (2020) The micro-randomized trial for developing digital interventions: Data analysis methods. Preprint, submitted April 21, https://arxiv.org/abs/2004.10241.Google Scholar
  • Qiao D, Lee SY, Whinston AB, Wei Q (2020) Financial incentives dampen altruism in online prosocial contributions: A study of online reviews. Inform. Systems Res. 31(4):1361–1375.LinkGoogle Scholar
  • Richardson L (2020) Platforms, markets, and contingent calculation: The flexible arrangement of the delivered meal. Antipode 52(3):619–636.CrossrefGoogle Scholar
  • Rietveld J, Schilling MA (2021) Platform competition: A systematic and interdisciplinary review of the literature. J. Management 47(6):1528–1563.CrossrefGoogle Scholar
  • Rosso BD, Dekas KH, Wrzesniewski A (2010) On the meaning of work: A theoretical integration and review. Res. Organ. Behav. 30:91–127.CrossrefGoogle Scholar
  • Ryan RM, Deci EL (2000) Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Amer. Psych. 55(1):68–78.CrossrefGoogle Scholar
  • Seaborn K, Fels DI (2015) Gamification in theory and action: A survey. Internat. J. Human Comput. Stud. 74:14–31.CrossrefGoogle Scholar
  • Sherman R (2007) Class Acts: Service and Inequality in Luxury Hotels (University of California Press, Oakland).CrossrefGoogle Scholar
  • Shriver SK (2015) Network effects in alternative fuel adoption: Empirical analysis of the market for ethanol. Marketing Sci. 34(1):78–97.LinkGoogle Scholar
  • Slee T (2017) What’s Yours Is Mine: Against the Sharing Economy (OR Books, New York).CrossrefGoogle Scholar
  • Spring B, Gotsis M, Paiva A, Spruijt-Metz D (2013) Healthy apps: Mobile devices for continuous monitoring and intervention. IEEE Pulse 4(6):34–40.CrossrefGoogle Scholar
  • Stewart A, Stanford J (2017) Regulating work in the gig economy: What are the options? Econom. Labour Relations Rev. 28(3):420–437.CrossrefGoogle Scholar
  • Taylor TA (2018) On-demand service platforms. Manufacturing Service Oper. Management 20(4):704–720.LinkGoogle Scholar
  • Todolí-Signes A (2017) The ‘gig economy’: Employee, self-employed or the need for a special employment regulation? Transfer 23(2):193–205.CrossrefGoogle Scholar
  • van Doorn N, Chen JY (2021) Odds stacked against workers: Datafied gamification on Chinese and American food delivery platforms. Socio-Econom. Rev. 19(4):1345–1367.CrossrefGoogle Scholar
  • Vasudevan K, Chan NK (2022) Gamification and work games: Examining consent and resistance among Uber drivers. New Media Soc. 24(4):866–886.CrossrefGoogle Scholar
  • Vroom VH (1964) Work and Motivation (Wiley, New York).Google Scholar
  • Wang SA, Pavlou PA, Gong J (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
  • Wentrup R, Nakamura HR, Ström P (2018) Uberization in Paris—The issue of trust between a digital platform and digital workers. Critical Perspect. Internat. Bus. 15(1):20–41.CrossrefGoogle Scholar
  • Xu Y, Lu B, Ghose A, Dai H, Zhou W (2023) The interplay of earnings, ratings, and penalties on sharing platforms: An empirical investigation. Management Sci. 69(10):6128–6146.LinkGoogle Scholar
  • Yaraghi N, Ravi S (2017) The current and future state of the sharing economy. Preprint, submitted March 17, http://dx.doi.org/10.2139/ssrn.3041207.Google Scholar
  • Ye T, Ai W, Chen Y, Mei Q, Ye J, Zhang L (2022) Virtual teams in a gig economy. Proc. Natl. Acad. Sci. USA 119(51):e2206580119.CrossrefGoogle Scholar
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