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Stuck in the middle with you: The Transaction Costs of Corporate Employees Hiring Freelancers

Published:29 May 2020Publication History
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Abstract

Corporations are increasingly empowering employees to hire on-demand workers via freelance platforms. We interviewed full-time employees of a global technology company who hired freelancers as part of their job responsibilities. While there has been prior work describing freelancers' perspectives there has been little research on those that hire them, the "clients", especially in the corporate context. We found that while freelance platforms reduce many administrative burdens, there are number of conditions in which using freelance platforms in a corporate context creates high transaction costs and power asymmetries that make it difficult for clients to negotiate work rights and responsibilities. This leads corporate employee clients to feel "stuck in the middle" between their employer, the platform, and the freelancer. Ultimately, these transactions costs are a potential barrier to wider adoption. If corporations want to leverage the value of the freelance economy then better guardrails, guidelines, and perhaps even creative technology solutions will be needed.

References

  1. Ajay Agrawal, John Horton, Nicola Lacetera, and Elizabeth Lyons. 2015. Digitization and the Contract Labor Market: A Research Agenda. Economic Analysis of the Digital Economy (April 2015), 219--250. https://www.nber.org/chapters/c12988Google ScholarGoogle Scholar
  2. Brett Caraway. 2010. Online labour markets: an inquiry into oDesk providers. Work Organisation, Labour & Globalisation, Vol. 4, 2 (2010), 111--125. https://doi.org/10.13169/workorgalaboglob.4.2.0111Google ScholarGoogle ScholarCross RefCross Ref
  3. Premilla D'Cruz and Ernesto Noronha. 2016. Positives outweighing negatives: The experiences of Indian crowdsourced workers. Work Organisation, Labour and Globalisation, Vol. 10, 1 (2016), 44--63.Google ScholarGoogle Scholar
  4. Valerio De Stefano. 2015. The Rise of the Just-in-Time Workforce: On-Demand Work, Crowdwork, and Labor Protection in the Gig-Economy. Comparative Labor Law & Policy Journal, Vol. 37, 3 (2015), 471--504. https://heinonline.org/HOL/P?h=hein.journals/cllpj37&i=507Google ScholarGoogle Scholar
  5. Niels van Doorn. 2017. Platform labor: on the gendered and racialized exploitation of low-income service work in the 'on-demand' economy. Information, Communication & Society, Vol. 20, 6 (June 2017), 898--914. https://doi.org/10.1080/1369118X.2017.1294194Google ScholarGoogle ScholarCross RefCross Ref
  6. Arindrajit Dube, Jeff Jacobs, Suresh Naidu, and Siddharth Suri. 2020. Monopsony in Online Labor Markets. American Economic Review: Insights (2020). https://doi.org/10.1257/aeri.20180150Google ScholarGoogle Scholar
  7. Ingrid Erickson, Deepti Menezes, Raghav Raheja, and Thanushree Shetty. 2019. Flexible Turtles and Elastic Octopi: Exploring Agile Practice in Knowledge Work. Computer Supported Cooperative Work (CSCW), Vol. 28, 3 (June 2019), 627--653. https://doi.org/10.1007/s10606-019-09360--1Google ScholarGoogle ScholarCross RefCross Ref
  8. Alessandro Gandini. 2015. Assessing the Job Quality of «Digital Professions»: A Case of Extreme Work. Studi di Sociologia, Vol. 53, 4 (2015), 335--352. https://www.jstor.org/stable/43924096Google ScholarGoogle Scholar
  9. Mark Graham, Isis Hjorth, and Vili Lehdonvirta. 2017. Digital labour and development: impacts of global digital labour platforms and the gig economy on worker livelihoods. Transfer: European Review of Labour and Research, Vol. 23, 2 (May 2017), 135--162. https://doi.org/10.1177/1024258916687250Google ScholarGoogle Scholar
  10. Mary L. Gray and Siddharth Suri. 2019. Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass. Houghton Mifflin Harcourt. Google-Books-ID: 8AmXDwAAQBAJ.Google ScholarGoogle Scholar
  11. 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 & Social Computing (CSCW '16). ACM, New York, NY, USA, 134--147. https://doi.org/10.1145/2818048.2819942 event-place: San Francisco, California, USA.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Neha Gupta, David Martin, Benjamin V. Hanrahan, and Jacki O'Neill. 2014. Turk-Life in India. In Proceedings of the 18th International Conference on Supporting Group Work (GROUP '14). ACM, New York, NY, USA, 1--11. https://doi.org/10.1145/2660398.2660403 event-place: Sanibel Island, Florida, USA.Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Anikó Hannák, Claudia Wagner, David Garcia, Alan Mislove, Markus Strohmaier, and Christo Wilson. 2017. Bias in Online Freelance Marketplaces: Evidence from TaskRabbit and Fiverr. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17). ACM, New York, NY, USA, 1914--1933. https://doi.org/10.1145/2998181.2998327 event-place: Portland, Oregon, USA.Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Benjamin Hanrahan, Ma Ning, and Yuan Chien Wen. 2017. The Roots of Bias on Uber. In Proceedings of 15th European Conference on Computer-Supported Cooperative Work-Exploratory Papers. European Society for Socially Embedded Technologies (EUSSET).Google ScholarGoogle Scholar
  15. Julie Hui, Justin Cranshaw, Yasmine Kotturi, and Chinmay Kulkarni. 2019. The Future of Work (places): Creating a Sense of Place for On-demand Work. In Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing. ACM, 487--491.Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Julie Hui, Elizabeth M. Gerber, Lynn Dombrowski, Mary L. Gray, Adam Marcus, and Niloufar Salehi. 2018. Computer-Supported Career Development in The Future of Work. In Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 133--136.Google ScholarGoogle Scholar
  17. Panagiotis G. Ipeirotis. 2010. Analyzing the Amazon Mechanical Turk Marketplace. SSRN Scholarly Paper ID 1688194. Social Science Research Network, Rochester, NY. https://papers.ssrn.com/abstract=1688194Google ScholarGoogle Scholar
  18. Lilly C. Irani and M. Six Silberman. 2013. Turkopticon: Interrupting Worker Invisibility in Amazon Mechanical Turk. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, New York, NY, USA, 611--620. https://doi.org/10.1145/2470654.2470742 event-place: Paris, France.Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Mohammad Hossein Jarrahi and Will Sutherland. 2019. Algorithmic Management and Algorithmic Competencies: Understanding and Appropriating Algorithms in Gig Work. In Information in Contemporary Society (Lecture Notes in Computer Science), Natalie Greene Taylor, Caitlin Christian-Lamb, Michelle H. Martin, and Bonnie Nardi (Eds.). Springer International Publishing, 578--589.Google ScholarGoogle Scholar
  20. Mohammad Hossein Jarrahi, Will Sutherland, Sarah Nelson, and Steve Sawyer. 2019. Platformic management, boundary resources, and worker autonomy in gig work. Computer Supported Cooperative Work (2019). https://doi.org/10.1007/s10606-019-09368--7Google ScholarGoogle Scholar
  21. Adi Kamdar. 2016. Why Some Gig Economy Startups Are Reclassifying Workers as Employees. https://onlabor.org/why-some-gig-economy-startups-are-reclassifying-workers-as-employees/Google ScholarGoogle Scholar
  22. Eliscia Kinder, Mohammad Hossein Jarrahi, and Will Sutherland. 2019. Gig platforms, tensions, alliances and ecosystems: an actor-network perspective. PACM on Human-Computer Interaction, Vol. 3 (2019). https://doi.org/10.1145/3359314Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Sara Constance Kingsley, Mary L. Gray, and Siddharth Suri. 2015. Accounting for Market Frictions and Power Asymmetries in Online Labor Markets. Policy & Internet, Vol. 7, 4 (2015), 383--400. https://doi.org/10.1002/poi3.111Google ScholarGoogle ScholarCross RefCross Ref
  24. 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 (June 2017), 183--200. https://doi.org/10.5465/amp.2015.0111Google ScholarGoogle ScholarCross RefCross Ref
  25. Airi Lampinen, Christoph Lutz, Gemma Newlands, Ann Light, and Nicole Immorlica. 2018. Power struggles in the digital economy: platforms, workers, and markets. In Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing. ACM, 417--423.Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Min Kyung Lee, Daniel Kusbit, Evan Metsky, and Laura Dabbish. 2015. Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 1603--1612.Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Vili Lehdonvirta. 2018. Flexibility in the gig economy: managing time on three online piecework platforms. New Technology, Work and Employment, Vol. 33, 1 (2018), 13--29. https://doi.org/10.1111/ntwe.12102Google ScholarGoogle ScholarCross RefCross Ref
  28. David Martin, Jacki O'Neill, Neha Gupta, and Benjamin V. Hanrahan. 2016. Turking in a Global Labour Market. Computer Supported Cooperative Work (CSCW), Vol. 25, 1 (Feb. 2016), 39--77. https://doi.org/10.1007/s10606-015--9241--6Google ScholarGoogle ScholarCross RefCross Ref
  29. Jacob Metcalf, Emanuel Moss, and Danah Boyd. 2019. Owning Ethics: Corporate Logics, Silicon Valley, and the Institutionalization of Ethics. Social Research: An International Quarterly, Vol. 86, 2 (Aug. 2019), 449--476. https://muse.jhu.edu/article/732185 Publisher: Johns Hopkins University Press.Google ScholarGoogle Scholar
  30. Pawel Popiel. 2017. "Boundaryless" in the creative economy: assessing freelancing on Upwork. Critical Studies in Media Communication, Vol. 34, 3 (May 2017), 220--233. https://doi.org/10.1080/15295036.2017.1282618Google ScholarGoogle ScholarCross RefCross Ref
  31. Noopur Raval and Paul Dourish. 2016. Standing Out from the Crowd: Emotional Labor, Body Labor, and Temporal Labor in Ridesharing. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM, New York, NY, USA, 97--107. https://doi.org/10.1145/2818048.2820026 event-place: San Francisco, California, USA.Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Alex Rosenblat and Luke Stark. 2016. Algorithmic Labor and Information Asymmetries: A Case Study of Uber's Drivers. SSRN Scholarly Paper ID 2686227. Social Science Research Network, Rochester, NY. https://papers.ssrn.com/abstract=2686227Google ScholarGoogle Scholar
  33. Niloufar Salehi, Lilly C. Irani, Michael S. Bernstein, Ali Alkhatib, Eva Ogbe, Kristy Milland, and Clickhappier. 2015. We Are Dynamo: Overcoming Stalling and Friction in Collective Action for Crowd Workers. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 1621--1630. https://doi.org/10.1145/2702123.2702508 event-place: Seoul, Republic of Korea.Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. M. Six Silberman, Bill Tomlinson, Rochelle LaPlante, Joel Ross, Lilly Irani, and Andrew Zaldivar. 2018. Responsible research with crowds: pay crowdworkers at least minimum wage. Commun. ACM, Vol. 61, 3 (2018), 39--41. Publisher: ACM New York, NY, USA.Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Will Sutherland, Mohammad Hossein Jarrahi, Michael Dunn, and Sarah Beth Nelson. 2019. Work Precarity and Gig Literacies in Online Freelancing. Work, Employment and Society (Nov. 2019), 0950017019886511. https://doi.org/10.1177/0950017019886511Google ScholarGoogle Scholar
  36. Mark E. Whiting, Grant Hugh, and Michael S. Bernstein. 2019. Fair Work: Crowd Work Minimum Wage with One Line of Code. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, Vol. 7, 1 (Oct. 2019), 197--206. https://wvvw.aaai.org/ojs/index.php/HCOMP/article/view/5283 Number: 1.Google ScholarGoogle Scholar
  37. Oliver E. Williamson. 1981. The Economics of Organization: The Transaction Cost Approach. Amer. J. Sociology, Vol. 87, 3 (Nov. 1981), 548--577. https://doi.org/10.1086/227496 Publisher: The University of Chicago Press.Google ScholarGoogle Scholar
  38. Alex J Wood, Mark Graham, Vili Lehdonvirta, and Isis Hjorth. 2019. Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy. Work, Employment and Society, Vol. 33, 1 (Feb. 2019), 56--75. https://doi.org/10.1177/0950017018785616Google ScholarGoogle Scholar
  39. Alex J. Wood, Vili Lehdonvirta, and Mark Graham. 2018. Workers of the Internet unite? Online freelancer organisation among remote gig economy workers in six Asian and African countries. New Technology, Work and Employment, Vol. 33, 2 (2018), 95--112. https://doi.org/10.1111/ntwe.12112Google ScholarGoogle ScholarCross RefCross Ref
  40. Allison Woodruff, Sarah E. Fox, Steven Rousso-Schindler, and Jeffrey Warshaw. 2018. A qualitative exploration of perceptions of algorithmic fairness. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 656.Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Ming Yin, Siddharth Suri, and Mary L. Gray. 2018. Running Out of Time: The Impact and Value of Flexibility in On-Demand Crowdwork. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, 430:1--430:11. https://doi.org/10.1145/3173574.3174004 event-place: Montreal QC, Canada.Google ScholarGoogle ScholarDigital LibraryDigital Library

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