Algorithmic management on digital labour platforms: A systematic literature review
DOI:
https://doi.org/10.19094/contextus.2023.83099Keywords:
management, algorithmic management, digital work platforms, working conditions, systematic literature reviewAbstract
This study aims to understand algorithmic management in digital work platforms. To this end, a systematic literature review was conducted in the main databases of the Administration field. Initially, 912 studies were surveyed that went through inclusion and exclusion criteria, resulting in a corpus of 39 articles. The results produced demonstrated the existing research perspectives, definitions and conceptualizations, their similarities and discrepancies, assisting the development of future research and leading researchers in the area. The contribution of this study consists in making the conceptualization process of algorithmic management more understandable and systematic, guiding towards a uniform direction instead of scattered perspectives.
References
Acs, Z. J., Song, A. K., Szerb, L., Audretsch, D. B., & Komlósi, E. (2021). The evolution of the global digital platform economy: 1971–2021. Small Business Economics, 57, 1629–1659. https://doi.org/10.1007/s11187-021-00561-x
Altenried, M. (2020). The platform as factory: Crowdwork and the hidden labour behind artificial intelligence. Capital & Class, 44(2), 145-158. https://doi.org/10.1177/0309816819899410
Aneesh, A. (2009). Global labor: Algocratic modes of organization. Sociological Theory, 27(4), 347-370. https://doi.org/10.1111/j.1467-9558.2009.01352.x
Anwar, I. A., Pal, J., & Hui, J. (2021). Watched, but moving: Platformization of beauty work and its gendered mechanisms of control. Proceedings of the ACM on Human-Computer Interaction, 4, 001-020. https://doi.org/10.1145/3432949
Bederson, B. B., & Quinn, A. J. (2011). Web workers, unite! Addressing challenges of online laborers. CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems, Vancouver, Canada, 11. https://doi.org/10.1145/1979742.1979606
Bockorni, B. R. S., & Gomes, A. F. (2021) A amostragem em snowball (bola de neve) em uma pesquisa qualitativa no campo da administração. Revista de Ciências Empresariais da UNIPAR, 22(1), 105-117. https://doi.org/10.25110/receu.v22i1.8346
Cheng, M., & Foley, C. (2019). Algorithmic management: the case of Airbnb. International Journal of Hospitality Management, 83, 033-036. https://doi.org/10.1016/j.ijhm.2019.04.009
Cherlin, A. J. (2019). Beyond the neoliberal moment: self‐worth and the changing nature of work. The British Journal of Sociology, 70(3), 747-754. https://doi.org/10.1111/1468-4446.12661
Derrick, D. C., & Elson, J. S. (2019). Exploring automated leadership and agent interaction modalities. Hawaii International Conference on System Sciences, Hawaii, USA, 52. https://doi.org/10.24251/HICSS.2019.027
Duggan, J., Sherman, U., Carbery, R., & McDonnell, A. (2019). Algorithmic management and app-work in the gig economy: A research agenda for employment relations and HRM. Human Resource Management Journal, 30(1), 114-132. https://doi.org/10.1111/1748-8583.12258
Edin, P., Evans, T., Graetz, G., Hernnas, S., & Michaels, G. (2019). Individual consequences of occupational decline. CESifo Working Paper, 7720. https://ssrn.com/abstract=3428328
Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor (1. ed.). New York: St. Martin’s Press.
Fagioli, A. (2021). To exploit and dispossess: The twofold logic of platform capitalism. Work Organisation, Labour & Globalisation, 15(1), 126-137. https://doi.org/10.13169/workorgalaboglob.15.1.0126
Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and organizing in the age of the learning algorithm. Information and Organization, 28(1). https://doi.org/10.1016/j.infoandorg.2018.02.005
Ferrari, F., & Graham, M. (2021). Fissures in algorithmic power: Platforms, code, and contestation. Cultural Studies, 35(4-5), 814-832. https://doi.org/10.1080/09502386.2021.1895250
Fielbaum, A., & Tirachini, A. (2021) The sharing economy and the job market: The case of ride-hailing drivers in Chile. Transportation, 48, 2235-2261. https://doi.org/10.1007/s11116-020-10127-7
Flanagan, F. (2019). Theorising the gig economy and home-based service work. Journal of Industrial Relations, 61(1), 057-078. https://doi.org/10.1177/0022185618800518
Fleming, P. (2017). The human capital hoax: work, debt and insecurity in the era of uberization. Organization Studies, 38(5), 691-709. https://doi.org/10.1177/0170840616686129
Glikson, E., & Woolley, A. W. (2019). Theoretical framework for understanding human trust in artificial intelligence. Academy of Management, 14(2), 017-022. https://doi.org/10.5465/annals.2018.0057
Graham M., Hjorth I., & Lehdonvirta, V. (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, 23(2), 135-162. https://doi.org/10.1177/1024258916687250
Graham, M., & Woodcock, J. (2018). Towards a fairer platform economy: introducing the Fairwork Foundation. Alternate Routes: A Journal of Critical Social Research, 29, 242-253. https://www.alternateroutes.ca/index.php/ar/article/view/22455
Graham, M., Woodcock, J., Heeks, R., Mungai, P., Van Belle, J.P., du Toit, D., Fredman, S., Osiki, A., van der Spuy, A., & Silberman, S. M. (2020). The Fairwork Foundation: Strategies for improving platform work in a global context. Geoforum, 112, 100-103. https://doi.org/10.1016/j.geoforum.2020.01.023
Hall J. V., & Krueger, A. B. (2018). An analysis of the labor market for Uber’s driver-partners in the United States. Industrial & Labor Relations Review, 71(3), 705-732. https://doi.org/10.1177/0019793917717222
Harmon, E., & Silberman, M. S. (2018). Rating working conditions on digital labor platforms. Comput Supported Coop Work (CSCW), 28, 911-960. https://doi.org/10.1007/s10606-018-9313-5
Harms, P. D., & Han, G. (2019). Algorithmic leadership: The future is now. Journal of Leadership Studies, 12(4), 074-075. https://doi.org/10.1002/jls.21615
Heeks, R., Graham, M., Mungai, P., Van Belle, J. P., & Woodcock, J. (2021). Systematic evaluation of gig work against decent work standards: The development and application of the Fairwork framework. The Information Society, 37(5), 267-286. https://doi.org/10.1080/01972243.2021.1942356
International Labour Organization (2021). World employment and social outlook 2021: The role of digital labour platforms in transforming the world of work. https://www.ilo.org/global/research/global-reports/weso/2021/WCMS_771749/lang--en/index.htm
Irani, L. C., & Silberman, M. S. (2016). Stories we tell about labor: turkopticon and the trouble with “design”. CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San José, USA, 16. https://doi.org/10.1145/2858036.2858592
Jabagi, N., Croteau, A., Audebrand, L. K., & Marsan, J. (2019). Gig-workers’ motivation: Thinking beyond carrots and sticks. Journal of Managerial Psychology, 34(1), 192-213. https://doi.org/10.1108/JMP-06-2018-0255
Jarrahi, M. H., Sutherland, W., Nelson, S. B., & Sawyer, S. (2019). Platformic management, boundary resources for gig work, and worker autonomy. Computer Supported Cooperative Work (CSCW), 29, 153-189. https://doi.org/10.1007/s10606-019-09368-7
Kaine, S., & Josserand, E. (2019). The organisation and experience of work in the gig economy. Journal of Industrial Relations, 61(4) 001-023. https://doi.org/10.1177/0022185619865480
Kinder, E., Jarrahi, M. H., & Sutherland, W. (2019). Gig platforms, tensions, alliances and ecosystems: An actor-network perspective. Proceedings of the ACM on Human-Computer Interaction, 3, 001-026. https://doi.org/10.1145/3359314
Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. https://www.elsevier.com/__data/promis_misc/525444systematicreviewsguide.pdf
Kittur, A., Chi, E. H., & Suh, B. (2008). Crowdsourcing user studies with Mechanical Turk. CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Florence, Italy, 8. https://doi.org/10.1145/1357054.1357127
Lee, M. K., Kusbit, D., Metsky, E., & Dabbish, L. (2015). Working with machines: The impact of algorithmic, data-driven management on human workers. Proceedings of the 33rd Annual ACM SIGCHI Conference, Seoul, South Korea, 33. https://doi.org/10.1145/2702123.2702548
Mateescu, A. Nguyen, A. (2019). Explainer: Algorithmic management in the workplace. https://datasociety.net/wp-content/uploads/2019/02/DS_Algorithmic_Management_Explainer.pdf
McKinsey Global Institute. (2017). Jobs lost, jobs gained: workforce transitions in a time of automation. https://www.mckinsey.com/~/media/BAB489A30B724BECB5DEDC41E9BB9FAC.ashx
Möhlmann, M., & Zalmanson, L. (2017). Hands on the wheel: Navigating algorithmic management and Uber drivers. International Conference on Information Systems, Seoul, South Korea, 38.
Myhill, K, Richards, J., & Sang, K. (2021). Job quality, fair work and gig work: The lived experience of gig workers. The International Journal of Human Resource Management, 32(19), 4110-4135. https://doi.org/10.1080/09585192.2020.1867612
Noble, S.U. (2018). Algorithms of oppression: How search engines reinforce racism. New York University Press.
Palmatier, R. W., Houston, M. B., & Hulland, J. (2018). Review articles: purpose, process, and structure. Journal of the Academy of Marketing Science, 46, 001-005. https://doi.org/10.1007/s11747-017-0563-4
Parry, K., Cohen, M., & Bhattacharya, S. (2016). Rise of the Machines. Group & Organization Management, 41(5), 571-594. https://doi.org/10.1177/1059601116643442
Petticrew, M., & Roberts, H. (2006). Systematic Reviews in the Social Sciences: A Practical Guide, Blackwell Publishing Professional. Online, Wiley Online Library. https://doi.org/10.1002/9780470754887
Polkowska, D. (2019). Does the app contribute to the precarization of work? The case of Uber drivers in Poland. Partecipazione e Conflitto, 12(3), 717-741. https://doi.org/10.1285/I20356609V12I3P717
Rani, U., & Furrer, M. (2021). Digital labour platforms and new forms of flexible work in developing countries: Algorithmic management of work and workers. Competition & Change, 25(2), 212-236. https://doi.org/10.1177/1024529420905187
Rogers, B. (2018). Fissuring, data-driven governance, e platform economy labor standards. Temple University Legal Studies Research Paper, 001-014. https://doi.org/10.2139/ssrn.3057635
Schildt, H. (2016). Big data and organizational design – The brave new world of algorithmic management and computer augmented transparency. Innovation, 19(1), 023-030. https://doi.org/10.1080/14479338.2016.1252043
Schor, J., & Attwood-Charles, W. (2017). The “sharing” economy: Labor, inequality, and social connection on for-profit platforms. Sociology Compass, 11(8), 001-016. https://doi.org/10.1111/soc4.12493
Siddaway, A. P., Wood, A. M., & Hedges, L. V. (2018). How to do a systematic review: A best practice guide for conducting and reporting narrative reviews, meta-analyses, and meta-syntheses. Annual Review of Psychology, 70, 747-770. https://doi.org./10.1146/annurev-psych-010418-102803
Silberman, M. S., Ross, J., Irani, L., & Tomlinson, B. (2010). Sellers’ problems in human computation markets. HCOMP '10: Proceedings of the ACM SIGKDD Workshop on Human Computation, New York, USA, 16. https://doi.org/10.1145/1837885.1837891
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339. https://doi.org/10.1016/j.jbusres.2019.07.039
Souza, E., Moreira, A., & Goulão, M. (2019). Deriving architectural models from requirements specifications: A systematic mapping study. Information and Software Technology, 109, 26-39. https://doi.org/10.1016/j.infsof.2019.01.004
Sukhodolov, A. P., & Beryozkin, Y. M. (2018). From the institutional to the platform economy. Upravlenec, 9(3), 008-013.
Sun, P. (2019). Your order, their labor: An exploration of algorithms and laboring on food delivery platforms in China. Chinese Journal of Communication, 12(3), 001-016. https://doi.org/10.1080/17544750.2019.1583676
Sutherland, W., & Jarrahi, M. H. (2018). The sharing economy and digital platforms: a review and research agenda. International Journal of Information Management, 43, 328-341. https://doi.org/10.1016/j.ijinfomgt.2018.07.004
Tranfield D., Denyer D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207-222. https://doi.org/10.1111/1467-8551.00375
Vieira, T. (2020). The lose-lose dilemmas of Barcelona's platform delivery workers in the age of COVID-19. Social Sciences & Humanities Open, 2(1), 001-009. https://doi.org/10.1016/j.ssaho.2020.100059
Webster J., & Watson R.T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS Quartely, 26(2), 13-23.
Wesche, J. S., & Sonderegger, A. (2019). When computers take the lead: The automation of leadership. Computers in Human Behavior, 101, 197-209. https://doi.org/10.1016/j.chb.2019.07.027
Wiener, M., Cram, W. A., & Benlian, A. (2020). Information Systems Outsourcing (5. ed.). Cham: Springer. https://doi.org/10.1007/978-3-030-45819-5_16
Wood, A. J., Graham, M., Lehdonvirta, V., & Hjorth, I. (2019). Good gig, bad gig: Autonomy and algorithmic control in the global gig economy. Work, Employment and Society, 33(1), 56-75. http://doi.org/10.1177/0950017018785616
Wu, Q., & Li, Z. (2019). Labor control and task autonomy under the sharing economy: A mixed-method study of drivers’ work. The Journal of Chinese Sociology, 6(14), 1-21. https://doi.org/10.1186/s40711-019-0098-9
Zuboff S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. New York: Profile books.
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Journal: only for the 1st publication
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors, while doing the submission, accept the notice below:
We authors hold the copyright related to our paper and transfer Contextus journal the right for the first publication with a Creative Commons’ international license of the modality Attribution – Non-commercial 4.0, which in turn allows the paper to be shared providing that both the authorship and the journal’s right for initial release are acknowledged.
Furthermore, we are aware of our permission to take part in additional contracts independently for non-exclusive distribution of the version of our work published in this journal (e.g. publishing it in an institutional repository or as a book chapter), while acknowledging both the authorship and the journal’s initial publication.
We also certify that the paper is original and up to this date has not been released in any other journal, Brazilian or of another nationality, either in Portuguese or another language, as well as it has not been sent for simultaneous publication in other journals.
Last, we not only know that plagiarism is not tolerated by Contextus but also certify the paper presents the sources of passages from cited works, including those authored by ourselves.
3.png)
1.jpg)
1.jpg){kind=small}
1.jpg)
1.jpg)
.jpg)
1.jpg)
1.jpg)
1.jpg)
1.jpg)
1.jpg)
2.png)
1.jpg)
2.jpg)
1.jpg)
1.jpg)
1.jpg)
1.jpg)
