Make Way for the Algorithms: Symbolic Actions and Change in a Regime of Knowing

• 成果类型: Article
• 署名作者: Pachidi, Stella; Berends, Hans; Faraj, Samer; Huysman, Marleen
• 署名单位: University of Cambridge; Vrije Universiteit Amsterdam; McGill University
• 刊物名称: ORGANIZATION SCIENCE
• ISSN/ISSBN: 1047-7039
• DOI: 10.1287/orsc.2020.1377
• 发表日期: 2021
• 页码: 18-41
• 关键词: knowledge; knowing; symbolic action; algorithmic technologies; Artificial intelligence; analytics; technology introduction; digital transformation; work

摘要

When actors deem technological change undesirable, they may act symbolically by pretending to comply while avoiding real change. In our study of the introduction of an algorithmic technology in a sales organization, we found that such symbolic conformity led unintendedly to the full implementation of the suggested technological change. To explain this surprising outcome, we advance a regime-of-knowing lens that helps to analyze deep challenges happening under the surface during the process of technology introduction. A regime of knowing guides what is worth knowing, what actions matter to acquire this knowledge, and who has the authority to make decisions around those issues. We found that both the technologists who introduced the algorithmic technology, and the incumbent workers whose work was affected by the change, used symbolic actions to either defend the established regime of knowing or to advocate a radical change. Although the incumbent workers enacted symbolic conformity by pretending to comply with suggested changes, the technologists performed symbolic advocacy by presenting a positive side of the technological change. Ironically, because the symbolic conformity enabled and was reinforced by symbolic advocacy, reinforcing cycles of symbolic actions yielded a radical change in the sales' regime of knowing: from one focused on a deep understanding of customers via personal contact and strong relationships, to one based on model predictions fromthe processing of large datasets. We discuss the theoretical implications of these findings for the introduction of technology at work and for knowing in the workplace.