为什么算法管理会削弱员工的创造力?

Daiheng Li, Mingyue Liu, Yun Zhao, Yuzhu Li, Tao Zhang, Wenjia Zhang, Dongrui Xia, Bo Lv
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引用次数: 0

摘要

随着人工智能技术的迅猛发展,算法管理在企业中日益盛行。尽管学术界对算法管理的影响给予了相当多的关注,但在算法管理对员工创造力的影响方面仍存在研究空白。针对这一空白,作者利用能力-动机-机会(AMO)理论建立了一个理论模型。该模型旨在研究算法管理(机会)对员工创造力(绩效)的直接影响,同时考虑知识组合能力(能力)和成就目标(动机)所起的中介作用。研究以一家信息技术服务公司的 327 个领导与员工配对数据为样本,发现算法管理对员工创造力有负面影响。此外,研究结果还表明,算法管理通过对知识组合能力和成就目标的影响,对员工创造力产生负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why Does Algorithmic Management Undermine Employee Creativity?
With the rapid development of artificial intelligence technology, algorithmic management is increasingly prevalent in enterprises. Despite the considerable scholarly attention given to the impact of algorithmic management, a research gap remains regarding its influence on employee creativity. To address this gap, the authors developed a theoretical model using ability-motivation-opportunity (AMO) theory. This model aims to investigate the direct impacts of algorithmic management (opportunity) on employee creativity (performance) while also considering the mediating roles played by knowledge combination capability (ability) and achievement goal (motivation). Using a sample of 327 paired leader-employee data from an information technology service company, the findings reveal that algorithmic management has a negative effect on employee creativity. Furthermore, the results demonstrate that algorithmic management negatively influences employee creativity through its impact on knowledge combination capability and achievement goal.
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