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A Human-Centered Algorithmic Management Framework: A Literature Review

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HCI International 2024 – Late Breaking Papers (HCII 2024)

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Abstract

Algorithmic management has become an important tool for most organizations to improve operational efficiency and decision-making quality, and has attracted the attention of many traditional organizations. However, the key challenge is how to design and effectively apply algorithmic management to ensure that it is applicable to different organization types, while protecting the rights of employees in the process. As a result, a human-centered algorithmic management (HCAM) framework has been developed to address the current challenges. The framework: (1) outlined the current main issues of algorithmic management, including inflexible, intrusive, inscrutable, unfair, and unsustainable; (2) identified the goals to be achieved and the corresponding strategies, including the goals of autonomous, collaborative, fair, satisfactory, sustainable, trustworthy, transparent, interpretable, and understandable; (3) verified by comparing the application of the framework in two different work environments in digital and traditional organizations. The human-centered algorithmic management framework is not only more likely to be effectively implemented in diverse organizational environments, but also enables algorithmic design to be competent in more complex management tasks, facilitates multi-party collaboration and satisfaction, and at the same time supports employee autonomy, innovation, and long-term sustainable development of the organization, among others.

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Acknowledgments

The authors would like to acknowledge the support from the National Natural Science Foundation of China (72171030), the Chongqing Municipal Federation of Social Sciences (2022YC049), and the 2022 Reform in College Elite Curriculum Research Project of Chongqing University, China (CQU-EIE-2022011).

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  1. School of Management Science and Real Estate, Chongqing University, Chongqing, People’s Republic of China

    Yunshan Jiang, Shixin Fan, Yifan Zhu, Long Wang, Kunhui Ye, Jia Zhou, Liangqing Zhang & Zhixiu Wang

  2. School of Economics and Management, Chongqing Jiaotong University, Chongqing, People’s Republic of China

    Liu Wu

  3. Department of Industrial Engineering, Tsinghua University, Beijing, People’s Republic of China

    Pei-Luen Patrick Rau

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  2. and Technology - Hellas, Foundation for Research, Heraklion, Crete, Greece

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Jiang, Y. et al. (2024). A Human-Centered Algorithmic Management Framework: A Literature Review. In: Degen, H., Ntoa, S. (eds) HCI International 2024 – Late Breaking Papers. HCII 2024. Lecture Notes in Computer Science, vol 15382. Springer, Cham. https://doi.org/10.1007/978-3-031-76827-9_4

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