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Algorithmic Management: Organizational Challenges And Ethical Implications

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  • Andrei JOSAN
  • Cristina ALPOPI

Abstract

The paper aims to contribute to the growing research literature on algorithmic management (AM) and to provide a conceptual framework for its analysis, given that the importance of the topic is increasing as the use of AM expands and intensifies in more and more industries and economic sectors. The paper considers that AM should be understood as a digital evolution of pre-existing trends in the organization of economic activity that have manifested themselves over time, especially with the emergence of scientific management. Algorithmic management has a disruptive potential because it considerably increases the organizational ability to control economic processes and work based on the massive capacity to collect, store and process information through digital technologies, algorithms and Artificial Intelligence (AI). In the case of algorithmic management, these increasingly sophisticated and complex technologies are combined and used to reorganize control and reconfigure the balance of power within economic organizations.

Suggested Citation

  • Andrei JOSAN & Cristina ALPOPI, 2024. "Algorithmic Management: Organizational Challenges And Ethical Implications," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 18(1), pages 517-528, November.
    • Handle: RePEc:rom:mancon:v:18:y:2024:i:1:p:517-528
    DOI: 10.24818/IMC/2024/05.05
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    References listed on IDEAS

    as
    1. Xiaojing Dong & Shelby H. McIntyre, 2014. "The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies," Quantitative Finance, Taylor & Francis Journals, vol. 14(11), pages 1895-1896, November.
    2. Sara Baiocco & Enrique Fernández-Macías & Uma Rani & Annarosa Pesole, 2022. "The Algorithmic Management of Work and its Implications in Different Contexts," JRC Working Papers on Labour, Education and Technology 2022-02, Joint Research Centre.
    3. Power, Michael, 2022. "Theorizing the economy of traces: from audit society to surveillance capitalism," LSE Research Online Documents on Economics 112167, London School of Economics and Political Science, LSE Library.
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