Blinded by “algo economicus”: Reflecting on the assumptions of algorithmic management research to move forward
反思了算法管理研究中的核心假设，指出其将算法视为非人类实体、将管理视为经济价值最大化控制，导致研究盲点，并提出新假设以推动该领域发展。
Abstract This paper reflects on the paradigmatic assumptions and ideologies that have shaped algorithmic management research. We identify two sets of assumptions: one about the “ontology of algorithms” (which holds that human resource management [HRM] algorithms are non‐human entities with material agency) and one about the “ontology of management” that HRM algorithms afford (which understands algorithmic management as a form of control for maximizing economic/shareholder value). We explain how these core assumptions underpin existing research of HRM algorithms, causing blind spots that hinder new ways of understanding and studying algorithmic management. After identifying and unpacking the assumptions and blind spots, we offer avenues to overcome these blind spots, allowing for future research based on new ideological assumption grounds that will help move algorithmic management scholarship further in significant ways.