Algorithmization of Management Processes in Gig Economy

Algorithmization of Management Processes in Gig Economy

Authors

  • Artyom V. Gavrilyuk
  • Zhao Anran

Keywords:

Algorithm, algorithmization of management processes, algorithmic power, algorithmic responsibility, gig economy.

Abstract

The article presents the results of the research dealing with the main features of algorithmic technologies application in the implementation of management processes in organizations. It is revealed that the algorithmization of the management processes is used by the companies functioning in the field of the gig economy, but this trend is gradually spreading to other organizations. The article defines the main content of the algorithmic management process in the gig economy. It is indicated that in the gig economy, the construction of labour relations is regulated by algorithmic management, which is a management system implemented by self-learning algorithms that make decisions regarding interaction with gig workers. Algorithmic management makes it possible to automate managerial decision-making processes, track the behavior of gig workers, evaluate their effectiveness, establish principles of interaction between them and the digital platform, and increase the transparency of socio-economic relations. The characteristics are revealed, the structure is presented, and the implications of algorithmic management as an approach to managing organisational innovation are noted. The study found that the considered process regards the organization reform of the company as the key factor of its strategic development and the digital platforms as the tool for cooptation, control, providing incentive and feedback for the gig workers on the basis of confidence-building (loyalty) between the subjects. It should be noted that the use of algorithms in gig economy organisations has a certain impact on gig workers, who can adapt to this trend, express their disagreement or even stop working on the platform. Furthermore, several suggestions on the sustainable development of the gig economy organizations are made. The research confirms the necessity to build the paradigm of the algorithmic responsibility management in order to avoid the company misconduct and to safeguard the rights and interests of the gig economy stakeholders. The key directions for future research are outlined which can extend the scope of algorithmic technologies implementation.

Author Biographies

Artyom V. Gavrilyuk

PhD, Associate Professor
School of Public Administration, Lomonosov Moscow State University, Moscow, Russian Federation
ORCID: 0000-0002-3583-6698
Gavriliuk@spa.msu.ru

Zhao Anran

Postgraduate student
School of Public Administration, Lomonosov Moscow State University, Moscow, Russian Federation
ORCID: 0009-0002-3230-8184
anran.zhao@mail.ru

References

Варавва М.Ю. Лазарева О.С. Платформенная гиг-экономика — альтернативная модель с нестандартными трудовыми отношениями // Вестник Российского экономического университета имени Г.В. Плеханова. 2022. № 5(125). С. 108–115. DOI: 10.21686/2413-2829-2022-5-108-115

Коваленко А.И. Сетевой эффект как признак доминирующего положения цифровых платформ // Современная конкуренция. 2020. № 1(77). С. 18–37. DOI: 10.37791/1993-7598-2020-14-1-18-37

Линец А.А. Правовая природа отношений, возникающих в связи с исполнением личного труда в рамках гиг-экономики // Вестник Московского университета. Серия 11: Право. 2021. № 5. С. 47–69.

Литовченко О.В. Гиг-экономика как новая модель трудовых отношений // Вопросы устойчивого развития общества. 2020. № 9. С. 130–136. DOI: 10.34755/IROK.2020.14.17.017

Романец И.И. Вербовский Г.Д. Гиг-экономика как новая форма рыночных отношений // Инновационная экономика: перспективы развития и совершенствования. 2021. № 1(51). С. 186–192. DOI: 10.47581/2021/FA-07/IE/51/01.029

Boyd D., Crawford K. Critical Questions for Big Data: Provocations for a Cultural, Technological, and Scholarly Phenomenon // Information, Communication & Society. 2012. Vol. 15. Is. 5. P. 662–679. DOI: 10.1080/1369118X.2012.678878

Cannon S., Summers L.H. How Uber and the Sharing Economy Can Win over Regulators // Harvard Business Review. 2014. Vol. 13. Is. 10. P. 24–28.

Cormen T.H., Leiserson C.E., Rivest R.L., Stein C. Introduction to Algorithms. Cambridge: MIT Press, 2022.

Duggan J., Sherman U., Carbery R., McDonnell A. Algorithmic Management and App-Work in the Gig Economy: A Research Agenda for Employment Relations and HRM // Human Resource Management Journal. 2020. Vol. 30. Is. 1. P. 114–132. DOI: 10.1111/1748-8583.12258

Elbanna A., Idowu A. Crowdwork, Digital Liminality and the Enactment of Culturally Recognised Alternatives to Western Precarity: Beyond Epistemological Terra Nullius // European Journal of Information Systems. 2022. Vol. 31. Is. 1. P. 128–144. DOI: 10.1080/0960085X.2021.1981779

Eubanks V. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. New York: St. Martin’s Press, 2018.

Ferrari F., Graham M. Fissures in Algorithmic Power: Platforms, Code, and Contestation // Cultural Studies. 2021. Vol. 35. Is. 4–5. P. 814–832. DOI: 10.1080/09502386.2021.1895250

Gerstel N., Clawson D. Control over Time: Employers, Workers, and Families Shaping Work Schedules // Annual Review of Sociology. 2018. Vol. 44. P. 77–97. DOI: 10.1146/annurev-soc-073117-041400

Gol E.S., Stein M.-K., Avital M. Crowdwork Platform Governance toward Organizational Value Creation // Journal of Strategic Information Systems. 2019. Vol. 28. Is. 2. P. 175–195. DOI: 10.1016/j.jsis.2019.01.001

Jago A.S. Algorithms and Authenticity // Academy of Management Discoveries. 2019. Vol. 5. Is. 1. P. 38–56. DOI: 10.5465/amd.2017.0002

Jarrahi M.H., Sutherland W., Nelson S.B., Sawyer S. Platformic Management, Boundary Resources for Gig Work, and Worker Autonomy // Computer Supported Cooperative Work-the Journal of Collaborative Computing and Work Practices. 2020. Vol. 29. Is. 1–2. P. 153–189. DOI: 10.1007/s10606-019-09368-7

Jialiang P., Shanshi L., Xun C., Jiaojiao Qu. Perceived Algorithmic Control of Gig Workers: Conceptualization, Measurement and Verification the Impact on Service Performance // Nankai Management Review. 2021. Vol. 24. Is. 6. P. 14–27.

Kellogg K.C., Valentine M.A. Christin A. Algorithms at Work: The New Contested Terrain of Control // Academy of Management Annals. 2020. Vol. 14. Is. 1. P. 366–410. DOI: 10.5465/annals.2018.0174

Lepri B., Oliver N., Letouzé E., Pentland A., Vinck P. Fair, Transparent, and Accountable Algorithmic Decision-Making Processes: The Premise, the Proposed Solutions, and the Open Challenges // Philosophy & Technology. 2018. Vol. 31. Is. 1. P. 611–627. DOI: 10.1007/s13347-017-0279-x

Meijerink J., Keegan A. Conceptualizing Human Resource Management in the Gig Economy toward a Platform Ecosystem Perspective // Journal of Managerial Psychology. 2019. Vol. 34. Is. 4. P. 214–232. DOI: 10.1108/JMP-07-2018-0277

Panteli N., Rapti A., Scholarios D. “If He Just Knew Who We Were”: Microworkers’ Emerging Bonds of Attachment in a Fragmented Employment Relationship // Work Employment and Society. 2020. Vol. 34. Is. 3. P. 476–494. DOI: 10.1177/0950017019897872

Parth Sh., Bathini D.R. Microtargeting Control: Explicating Algorithmic Control and Nudges in Platform-Mediated Cab Driving in India // New Technology Work and Employment. 2021. Vol. 36. Is. 1. P. 74–93. DOI: 10.1111/ntwe.12188

Tóth Z., Nemkova E., Hizsák G., Naudé P. Social Capital Creation On Professional Sharing Economy Platforms: The Problems of Rating Dependency and the Non-Transferability of Social Capital // Journal of Business Research. 2022. Vol. 144. P. 450–460. DOI: 10.1016/j.jbusres.2022.01.090

Veen A., Barratt T., Goods C. Platform-Capital’s ‘App-etite’ for Control: A Labour Process Analysis of Food-Delivery Work in Australia // Work Employment and Society. 2020. Vol. 34. Is. 3. P. 388–406. DOI: 10.1177/0950017019836911

Zuboff S. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. London: Profile books, 2019.

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Published

2024-02-28

How to Cite

Algorithmization of Management Processes in Gig Economy. (2024). Public Administration. E-Journal (Russia), 102, 168-182. https://doi.org/10.24412/6str5m55

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Section

Scientific articles

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How to Cite

Algorithmization of Management Processes in Gig Economy. (2024). Public Administration. E-Journal (Russia), 102, 168-182. https://doi.org/10.24412/6str5m55

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