文献类型：期刊文献

英文题名：Algorithmic Competency of On-Demand Labor Platform Workers: Scale Development, Antecedents, and Consequences

作者：Zhou, Lian[1];Lei, Xue[2];Liu, Mingwei[3];Huang, Xinran[1];Hou, Rui[1]

机构：[1]Guangdong Univ Technol, Sch Management, Guangzhou, Peoples R China;[2]East China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China;[3]Rutgers State Univ, Sch Management & Lab Relat, New Brunswick, NJ USA

年份：2025

卷号：63

期号：2

外文期刊名：ASIA PACIFIC JOURNAL OF HUMAN RESOURCES

收录：;WOS:【SSCI(收录号:WOS:001433385900001)】；

基金：This work was supported by the National Natural Science Foundation of China (72002047, 72072044, 72202064, 72372047); Social Science Foundation of the Ministry of Education of China (20YJC630237); Guangdong Basic and Applied Basic Research Foundation (2024A1515011284, 2020A1515010859); and Shanghai Pujiang Talent Plan (22PJC028). We are appreciative of the associate editor and the anonymous reviewers for their constructive feedback. Thanks to Jiahui Li and Lanlan Pan for their research assistance. We extend our sincere gratitude to Annabelle Hofer and other participants at the 2023 Academy of Management Annual Meeting for their valuable comments, as well as to Xin Wei and attendees of the workshop held at Renmin University of China for their insightful suggestions. All authors have made significant contributions and are in agreement with the content of the manuscript.

语种：英文

外文关键词：algorithmic competency; algorithmic management; antecedents; on-demand labor platform; outcomes

摘要：Despite the highly controlled algorithmic work environment, on-demand labor platform workers may devise strategies to enhance their algorithmic competency (AC), facilitating better adaptation to the system. Yet, the proactive engagement of platform workers with algorithms remains underexplored in empirical research. This study endeavors to fill this gap by developing and validating the first scale of AC, while also shedding light on its antecedents and consequences. Analysis of data from five samples of Chinese on-demand labor platform workers reveals that AC encompasses four dimensions: understanding, embracing, leveraging, and remediating algorithmic management. It is found that AC is positively influenced by social support from peers and cognitive job crafting. Furthermore, AC is shown to account for additional variance in customer-oriented service behavior and identification with gig work, beyond that explained by related constructs. The paper concludes with a discussion on the implications of China's distinctive on-demand economy context for the generalizability of the findings.