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Reducing Customer Complaints through Algorithm-Generated Feedback:Evidence from a Field Experiment
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作者 Hongshuyu Deng Xiaotian Zhuang +2 位作者 Muxuan Du Lingli Wang Ding Wu 《Journal of Systems Science and Systems Engineering》 2025年第6期724-741,共18页
Leveraging algorithms to provide performance feedback to employees has become widespread in organizations.Algorithm-generated feedback is quite different from human’s feedback in feedback form and employees’percepti... Leveraging algorithms to provide performance feedback to employees has become widespread in organizations.Algorithm-generated feedback is quite different from human’s feedback in feedback form and employees’perceptions,so it is hard to directly predict the effect of algorithm-generated feedbacks.Despite the widespread use of algorithm-generated feedback in workplace,there is scant empirical evidence revealing its impacts.To address this gap,we empirically examine the effects of the implementation of an algorithm-generated feedback system through a field experiment conducted in the logistics industry.The results indicated that the algorithm-generated feedback significantly reduces customer complaints by about 20%.Additionally,employees with less work experience or lower workloads benefit from algorithm-generated feedback more.This work offers empirical evidence on the business value of algorithm-generated feedback and highlights the importance of employee characteristics in understanding and managing the effects of algorithmic supervision in the workplace. 展开更多
关键词 Algorithms feedback customer complaints field experiment
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