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Cooperation in the Gig Economy: Insights from Upwork Freelancers

Published: 26 April 2024 Publication History

Abstract

Existing literature on online labor markets predominantly focuses on how freelancers individually complete tasks and projects. Our study examines freelancers' willingness to work collaboratively. We report results from a survey of 122 freelancers on a leading online labor market platform (Upwork) that examine freelancers' preferences for collaborative work arrangements, and that explore several antecedents of cooperative behaviors. We then test if actual cooperative behavior matches with freelancers' stated preferences through an incentivized social dilemma experiment. We find that respondents cooperate at a higher rate (85%) than reported in previous comparable studies (between 50-75%). This high rate of cooperation may be explained by an ingroup bias. Using a sequential mediation model, we demonstrate the importance of a sense of shared expectations and accountability for cooperation. We contribute to a better understanding of the potential for collaborative work on online labor market platforms by assessing if and what social factors and collective culture exist among freelancers. We discuss the implications of our results for platform designers by highlighting the importance of platform features that promote shared expectations and improve accountability. Overall, contrary to existing literature and predictions, our results suggest that freelancers in our sample display traits that are more consistent with belonging to a coherent group with a shared collective culture, rather than being anonymous actors in a transaction-based market.

References

[1]
Vamshi Ambati, Stephan Vogel, and Jaime Carbonell. 2012. Collaborative workflow for crowdsourcing translation. In Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work. 1191--1194.
[2]
Poul Houman Andersen, Poul Rind Christensen, and Torben Damgaard. 2009. Diverging expectations in buyer--seller relationships: Institutional contexts and relationship norms. Industrial Marketing Management, Vol. 38, 7 (2009), 814--824.
[3]
Daniel Balliet, Junhui Wu, and Carsten KW De Dreu. 2014. Ingroup favoritism in cooperation: a meta-analysis. Psychological Bulletin, Vol. 140, 6 (2014), 1556.
[4]
Hélene Barcelo and Valerio Capraro. 2015. Group size effect on cooperation in one-shot social dilemmas. Scientific Reports, Vol. 5, 1 (2015), 7937.
[5]
Beth A Bechky. 2006. Gaffers, gofers, and grips: Role-based coordination in temporary organizations. Organization Science, Vol. 17, 1 (2006), 3--21.
[6]
Beth A Bechky and Daisy E Chung. 2018. Latitude or latent control? How occupational embeddedness and control shape emergent coordination. Administrative Science Quarterly, Vol. 63, 3 (2018), 607--636.
[7]
Michael S Bernstein, Greg Little, Robert C Miller, Björn Hartmann, Mark S Ackerman, David R Karger, David Crowell, and Katrina Panovich. 2010. Soylent: a word processor with a crowd inside. In Proceedings of the 23nd annual ACM Symposium on User Interface Software and Technology. 313--322.
[8]
Michael S Bernstein, Desney Tan, Greg Smith, Mary Czerwinski, and Eric Horvitz. 2008. Personalization via friendsourcing. ACM Transactions on Computer-Human Interaction, Vol. 17, 2 (2008), 1--28.
[9]
Cristina Bicchieri and Erte Xiao. 2009. Do the right thing: but only if others do so. Journal of Behavioral Decision Making, Vol. 22, 2 (2009), 191--208.
[10]
Andrea Blasco, Kevin J Boudreau, Karim R Lakhani, Michael Menietti, and Christoph Riedl. 2013. Do Crowds have the Wisdom to Self-Organize. In Workshop on Information Systems and Economics (WISE), Milan, Italy.
[11]
Robin Brewer, Meredith Ringel Morris, and Anne Marie Piper. 2016. “Why would anybody do this?”: Older Adults' Understanding of and Experiences with Crowd Work. CHI Conference on Human Factors in Computing Systems (2016).
[12]
Maxwell N Burton-Chellew and Stuart A West. 2012. Correlates of cooperation in a one-shot high-stakes televised prisoners' dilemma. PloS One, Vol. 7, 4 (2012), e33344.
[13]
Valerio Capraro, Jillian J Jordan, and David G Rand. 2014. Heuristics guide the implementation of social preferences in one-shot Prisoner's Dilemma experiments. Scientific Reports, Vol. 4, 1 (2014), 1--5.
[14]
Gary Charness, Luca Rigotti, and Aldo Rustichini. 2016. Social surplus determines cooperation rates in the one-shot Prisoner's Dilemma. Games and Economic Behavior, Vol. 100 (2016), 113--124.
[15]
Jennifer A Chatman and Sigal G Barsade. 1995. Personality, organizational culture, and cooperation: Evidence from a business simulation. Administrative Science Quarterly (1995), 423--443.
[16]
Daniel L Chen and John J Horton. 2016. Research note-Are online labor markets spot markets for tasks? A field experiment on the behavioral response to wage cuts. Information Systems Research, Vol. 27, 2 (2016), 403--423.
[17]
Elisabeth Copper. 2022. Upwork Named to TIME's List of 100 Most Influential Companies of 2022. https://investors.upwork.com/news-releases/news-release-details/upwork-named-times-list-100-most-influential-companies-2022
[18]
David De Cremer and Daan Van Knippenberg. 2002. How do leaders promote cooperation? The effects of charisma and procedural fairness. Journal of Applied Psychology, Vol. 87, 5 (2002), 858.
[19]
Xuefei Deng, Kshiti D Joshi, and Robert D Galliers. 2016. The Duality of empowerment and marginalization in microtask crowdsourcing. MIS Quarterly, Vol. 40, 2 (2016), 279--302.
[20]
Greg d'Eon, Joslin Goh, Kate Larson, and Edith Law. 2019. Paying crowd workers for collaborative work. Proceedings of the ACM on Human-Computer Interaction, Vol. 3, CSCW (2019), 1--24.
[21]
Morton Deutsch. 1960. The effect of motivational orientation upon trust and suspicion. Human Relations, Vol. 13, 2 (1960), 123--139.
[22]
Morton Deutsch. 1973. The resolution of conflict: Constructive and destructive processes. Yale University Press.
[23]
David Durward, Ivo Blohm, and Jan Marco Leimeister. 2020. The nature of crowd work and its effects on individuals' work perception. Journal of Management Information Systems, Vol. 37, 1 (2020), 66--95.
[24]
Teppo Felin, Karim R Lakhani, and Michael L Tushman. 2017. Firms, crowds, and innovation. Strategic Organization, Vol. 15, 2 (2017), 119--140.
[25]
Dan Fost. 2008. They're working on their own, just side by side. New York Times, Vol. 20 (2008), 1.
[26]
Adam M Grant. 2007. Relational job design and the motivation to make a prosocial difference. Academy of Management Review, Vol. 32, 2 (2007), 393--417.
[27]
Adam M Grant. 2008. The significance of task significance: Job performance effects, relational mechanisms, and boundary conditions. Journal of Applied Psychology, Vol. 93, 1 (2008), 108.
[28]
Adam M Grant and Sharon K Parker. 2009. 7 redesigning work design theories: the rise of relational and proactive perspectives. Academy of Management Annals, Vol. 3, 1 (2009), 317--375.
[29]
Mary L. Gray, Siddharth Suri, Syed Shoaib Ali, and Deepti Kulkarni. 2016. The Crowd is a Collaborative Network. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing. ACM, 134--147.
[30]
J Richard Hackman. 2011. Collaborative intelligence: Using teams to solve hard problems. Berrett-Koehler Publishers.
[31]
J Richard Hackman and Greg R Oldham. 1976. Motivation through the design of work: Test of a theory. Organizational Behavior and Human Performance, Vol. 16, 2 (1976), 250--279.
[32]
Leonie Heuer and Andreas Orland. 2019. Cooperation in the Prisoner's Dilemma: an experimental comparison between pure and mixed strategies. Royal Society Open Science, Vol. 6, 7 (2019), 182142.
[33]
Pamela Hinds, Sara B Kiesler, and Sara Kiesler. 2002. Distributed Work. MIT press.
[34]
Hanieh Javadi Khasraghi and Rudy Hirschheim. 2021. Collaboration in crowdsourcing contests: how different levels of collaboration affect team performance. Behaviour & Information Technology (2021), 1--17.
[35]
John Kagel, Roth Alvin, et al. 1995. Public Goods: A survey of Experimental Research. Handbook of Experimental Economics (1995).
[36]
Katherine C Kellogg, Melissa A Valentine, and Angele Christin. 2020. Algorithms at Work: The New Contested Terrain of Control. Academy of Management Annals, Vol. 14, 1 (2020), 366--410.
[37]
David Kiron, Elizabeth J. Altman, and Christoph Riedl. 2023. Workforce Ecosystems and AI. Technical Report. Brookings Institute.
[38]
Aniket Kittur, Jeffrey V Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease, and John Horton. 2013. The future of crowd work. In Proceedings of the 2013 Conference on Computer Supported Cooperative Work. 1301--1318.
[39]
Aniket Kittur, Boris Smus, Susheel Khamkar, and Robert E Kraut. 2011. Crowdforge: Crowdsourcing complex work. In Proceedings of the 24th annual ACM Symposium on User Interface Software and Technology. 43--52.
[40]
Rex B Kline. 2012. Assumptions in structural equation modeling. Handbook of Structural Equation Modeling, Vol. 111 (2012), 125.
[41]
Kristine M Kuhn and Amir Maleki. 2017. Micro-entrepreneurs, dependent contractors, and instaserfs: Understanding online labor platform workforces. Academy of Management Perspectives, Vol. 31, 3 (2017), 183--200.
[42]
Greg Little, Lydia B Chilton, Max Goldman, and Robert C Miller. 2010a. Exploring iterative and parallel human computation processes. In Proceedings of the ACM SIGKDD Workshop on Human Computation. 68--76.
[43]
Greg Little, Lydia B Chilton, Max Goldman, and Robert C Miller. 2010b. Turkit: human computation algorithms on mechanical turk. In Proceedings of the 23nd annual ACM Symposium on User Interface Software and Technology. 57--66.
[44]
Thomas W Malone and Kevin Crowston. 1994. The interdisciplinary study of coordination. Comput. Surveys, Vol. 26, 1 (1994), 87--119.
[45]
Anna T Mayo. 2022. Syncing up: A process model of emergent interdependence in dynamic teams. Administrative Science Quarterly, Vol. 67, 3 (2022), 821--864.
[46]
Markus Menz, Sven Kunisch, Julian Birkinshaw, David J Collis, Nicolai J Foss, Robert E Hoskisson, and John E Prescott. 2021. Corporate Strategy and the Theory of the Firm in the Digital Age. Journal of Management Studies, Vol. 58, 7 (2021), 1695--1720.
[47]
Debra Meyerson, Karl E Weick, Roderick M Kramer, et al. 1996. Swift trust and temporary groups. Trust in Organizations: Frontiers of Theory and Research, Vol. 166 (1996), 195.
[48]
Laura Mieth, Axel Buchner, and Raoul Bell. 2021. Moral labels increase cooperation and costly punishment in a Prisoner's Dilemma game with punishment option. Scientific Reports, Vol. 11, 1 (2021), 1--13.
[49]
Yumi Nakagawa, Kunihiro Yokota, and Daisuke Nakanishi. 2022. Ingroup cooperation among Japanese baseball fans using the one-shot prisoner's dilemma game. International Journal of Sport and Exercise Psychology (2022), 1--17.
[50]
Cheong Ha Park, KyoungHee Son, Joon Hyub Lee, and Seok-Hyung Bae. 2013. Crowd vs. crowd: large-scale cooperative design through open team competition. In Proceedings of the 2013 Conference on Computer Supported Cooperative Work. 1275--1284.
[51]
Hatim A Rahman and Melissa A Valentine. 2021. How managers maintain control through collaborative repair: Evidence from platform-mediated gigs". Organization Science, Vol. 32, 5 (2021), 1300--1326.
[52]
Anatol Rapoport. 1988. Experiments with N-person social traps I: prisoner's dilemma, weak prisoner's dilemma, volunteer's dilemma, and largest number. Journal of Conflict Resolution, Vol. 32, 3 (1988), 457--472.
[53]
Daniela Retelny, Michael S Bernstein, and Melissa A Valentine. 2017. No workflow can ever be enough: How crowdsourcing workflows constrain complex work. Proceedings of the ACM on Human-Computer Interaction, Vol. 1, CSCW (2017), 1--23.
[54]
Daniela Retelny, Sébastien Robaszkiewicz, Alexandra To, Walter S Lasecki, Jay Patel, Negar Rahmati, Tulsee Doshi, Melissa Valentine, and Michael S Bernstein. 2014. Expert crowdsourcing with flash teams. In Proceedings of the 27th annual ACM Symposium on User Interface Software and Technology. 75--85.
[55]
C Riedl, T Grad, and C Lettl. 2023. Strategic Behavior in Crowdsourcing: A Look at Sabotage and Self-promotion. Available at SSRN, Vol. 3387056 (2023).
[56]
Christoph Riedl, Young Ji Kim, Pranav Gupta, Thomas W Malone, and Anita Williams Woolley. 2021. Quantifying collective intelligence in human groups. Proceedings of the National Academy of Sciences, Vol. 118, 21 (2021), e2005737118.
[57]
Christoph Riedl and Anita W Woolley. 2017. Teams vs. crowds: A field test of the relative contribution of incentives, member ability, and emergent collaboration to crowd-based problem solving performance. Academy of Management Discoveries, Vol. 3, 4 (2017), 382--403.
[58]
Lionel P Robert, Alan R Denis, and Yu-Ting Caisy Hung. 2009. Individual swift trust and knowledge-based trust in face-to-face and virtual team members. Journal of Management Information Systems, Vol. 26, 2 (2009), 241--279.
[59]
David Sally. 1995. Conversation and cooperation in social dilemmas: A meta-analysis of experiments from 1958 to 1992. Rationality and Society, Vol. 7, 1 (1995), 58--92.
[60]
Carol S Saunders and Manju K Ahuja. 2006. Are all distributed teams the same? Differentiating between temporary and ongoing distributed teams. Small Group Research, Vol. 37, 6 (2006), 662--700.
[61]
Heinz Schmitz and Ioanna Lykourentzou. 2018. Online sequencing of non-decomposable macrotasks in expert crowdsourcing. ACM Transactions on Social Computing, Vol. 1, 1 (2018), 1--33.
[62]
Benson P Shapiro. 1977. Can marketing and manufacturing co-exist. Harvard Business Review, Vol. 55, 5 (1977), 104.
[63]
J Brock Smith and Donald W Barclay. 1993. Team selling effectiveness: a small group perspective. Journal of Business-to-Business Marketing, Vol. 1, 2 (1993), 3--32.
[64]
Carlos Toxtli, Siddharth Suri, and Saiph Savage. 2021. Quantifying the invisible labor in crowd work. Proceedings of the ACM on Human-Computer Interaction, Vol. 5, CSCW2 (2021), 1--26.
[65]
Melissa Valentine. 2018. When equity seems unfair: the role of justice enforceability in temporary team coordination. Academy of Management Journal, Vol. 61, 6 (2018), 2081--2105.
[66]
Melissa A Valentine and Amy C Edmondson. 2015. Team scaffolds: How mesolevel structures enable role-based coordination in temporary groups. Organization Science, Vol. 26, 2 (2015), 405--422.
[67]
Melissa A Valentine, Daniela Retelny, Alexandra To, Negar Rahmati, Tulsee Doshi, and Michael S Bernstein. 2017. Flash organizations: Crowdsourcing complex work by structuring crowds as organizations. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 3523--3537.
[68]
Steven Vallas and Juliet B Schor. 2020. What do platforms do? Understanding the gig economy. Annual Review of Sociology, Vol. 46 (2020), 273--294.
[69]
Tyler VanderWeele. 2015. Explanation in causal inference: methods for mediation and interaction. Oxford University Press.
[70]
Don VandeWalle. 1997. Development and validation of a work domain goal orientation instrument. Educational and Psychological Measurement, Vol. 57, 6 (1997), 995--1015.
[71]
Cengiz Yilmaz and Shelby D Hunt. 2001. Salesperson cooperation: The influence of relational, task, organizational, and personal factors. Journal of the Academy of Marketing Science, Vol. 29, 4 (2001), 335--357.
[72]
Todd R Zenger, Teppo Felin, and Lyda Bigelow. 2011. Theories of the firm--market boundary. Academy of Management Annals, Vol. 5, 1 (2011), 89--133. io

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cover image Proceedings of the ACM on Human-Computer Interaction
Proceedings of the ACM on Human-Computer Interaction  Volume 8, Issue CSCW1
CSCW
April 2024
6294 pages
EISSN:2573-0142
DOI:10.1145/3661497
Issue’s Table of Contents
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Publication History

Published: 26 April 2024
Published in PACMHCI Volume 8, Issue CSCW1

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  1. cooperation experiment
  2. crowd teams
  3. macrotask crowdsourcing

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