Е-Публикации
Технически университет - София

Abstract: With the increasing digitalization of work operations and processes in everyday life and the agenda of business organizations, the use of elements of algorithmic management in human resource management is increasingly observed. This, of course, is most visible in modern platforms connecting service and product providers with their users, as well as in the so-called gig economy. At the same time, however, with the rapid progress of artificial intelligence, Algorithmic Management practices are also entering other sectors of the economy. Considering the lack of sufficiently clear regulation related to this, as well as the relatively easy opportunity for organizations to take excessive advantage, at the expense of the personal freedom of their employees, the relevance associated with analyzing the current practice and, on this basis, the deletion of indicators for assessing the effectiveness of the use of Algorithmic Management, specifically related to human resource management, is required.

References

1. J. Won, D. Lee, J. Lee, "Understanding experiences of food-deliveryplatform workers under algorithmic management using topic modeling", Technological Forecasting and Social Change, Volume 190, 2023, 122369, ISSN 0040-1625, https://doi.org/10.1016/j.techfore.2023.122369.
2. A.Bujold, X. Parent-Rocheleau, M.-C. Gaudet, "Opacity behind the wheel: The relationship between transparency of algorithmic management, justice perception, and intention to quit among truck drivers", Computers in Human Behavior Reports, Volume 8, 2022, 100245, ISSN 2451-9588, https://doi.org/10.1016/j.chbr.2022.100245.
3. M. H. Jarrahi, G. Newlands, M. K. Lee, C. T. Wolf, E. Kinder, W. Sutherland, Algorithmic management in a work context, Big Data & Society, 8(2) Sage Journals, July-December: 1-14, 2021, DOI: 10.1177/20539517211020332.
4. Y. Trautwein, F. Zechiel, K. Coussement, M. Meire, M.Buttgen, "Opening the 'black box' of HRM algorithmic biases-How hiring practices induce discrimination on freelancing platforms", Journal of Business Research, Volume 192, 2025, 115298, ISSN 0148-2963, https://doi.org/10.1016/j.jbusres.2025.115298.
5. H. Yang, D. Li, P. Hu, "Decoding algorithm fatigue: The role of algorithmic literacy, information cocoons, and algorithmic opacity", Technology in Society, Volume 79, 2024, 102749, ISSN 0160-791X, https://doi.org/10.1016/j.techsoc.2024.102749.
6. Y. Zhou, L. Wang, W. Chen, "The dark side of AI-enabled HRM on employees based on AI algorithmic features", Journal of Organizational Change Management, Volume 36, Issue 7, 2023, Pages 1222-1241, ISSN 0953-4814, https://doi.org/10.1108/JOCM-10-2022-0308.
7. A. Veen, J. Meijerink, T. Barratt, A. Keegan, C. Goods, "Overcoming legitimacy challenges of novel HRM practices during internationalization: The case of two food-delivery platforms", Journal of World Business, Volume 60, Issue 2, 2025, 101611, ISSN 1090-9516, https://doi.org/10.1016/j.jwb.2024.101611.
8. S. Yu, S. Liu, X. Gong, C.-e Liu, W. Cai, "Online platform algorithmic control and gig workers' turnover intention in China: The mediating role of relative deprivation", Journal of Management Science and Engineering, Volume 10, Issue 1, 2025, Pages 37-53, ISSN 2096-2320, https://doi.org/10.1016/j.jmse.2024.08.004.
9. Y. Wang, Z. Wang, J. Li, "Does algorithmic control facilitate platform workers' deviant behavior toward customers? The ego depletion perspective", Computers in Human Behavior, Volume 156, 2024, 108242, ISSN 0747-5632, https://doi.org/10.1016/j.chb.2024.108242.
10. Y.Liu, X. Sun, "Towards more legitimate algorithms: A model of algorithmic ethical perception, legitimacy, and continuous usage intentions of e-commerce platforms", Computers in Human Behavior, Volume 150, 2024, 108006, ISSN 0747-5632, https://doi.org/10.1016/j.chb.2023.108006.
11. L.Wang, Z. Feng, "Multi-objective Optimization of Shared Logistics and Express Delivery Platforms: An Algorithm Framework for Balancing Cost, Time, and Resource Utilization, Procedia Computer Science, Volume 247, 2024, Pages 511-518, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2024.10.061.
12. R. S. Kostev, "Challenges and Problems of the MoSCoW Method Application in ERP System Implementation, " 2023 International Scientific Conference on Computer Science (COMSCI), Sozopol, Bulgaria, 2023, pp. 1-4, doi: 10.1109/COMSCI59259.2023.10315816.
13. N. Nikolov, O. Nakov and D. Gotseva, "Research of MQTT versus LwM2M IoT communication protocols for IoT, " 2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), Sozopol, Bulgaria, 2021, pp. 45-48, doi: 10.1109/ICEST52640.2021.9483477.

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