杠杆(统计)
授权
知识管理
工作设计
意外事故
工作(物理)
计算机科学
工作制度
业务
过程管理
工作表现
工作满意度
人工智能
工程类
管理
经济
机械工程
语言学
哲学
经济增长
作者
Liwei Chen,J. J. Po-An Hsieh,Arun Rai
出处
期刊:Information Systems Research
[Institute for Operations Research and the Management Sciences]
日期:2022-04-14
卷期号:33 (3): 1042-1071
被引量:9
标识
DOI:10.1287/isre.2021.1097
摘要
Intelligent systems—incorporating computational tools, learning algorithms, and statistical models—can generate knowledge to empower employees in how they conduct their work and increase their job performance. How can organizations realize this potential? Our in-depth study of transformation of work with intelligent systems in a technology maintenance service company provides managerial insights to this question. Although knowledge from intelligent systems can empower employees, employees will need to adapt how they work with intelligent systems to improve their job performance. Interestingly, they can leverage the empowerment to adapt in two ways: maximize benefits, where they use the system to its full potential in conducting work, and minimize disturbances, where they reduce role conflict with the system in conducting work. Although inexperienced employees leverage the empowerment to use the system to its full potential, experienced employees leverage the empowerment to minimize role conflict with the system. How empowered employees realize job performance gains requires understanding how employees channel their empowerment: maximize benefits through use of the system or minimize disturbances through role conflict with the system. Differentiating how inexperienced and experienced employees channel empowerment to increase job performance will enable managers to effectively manage the transformation of work for these two groups.
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