A Human-Centered Algorithmic Management Framework: A Literature Review

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.