数字技术与绩效激励:来自瑞士经济企业的证据。

Q1 Mathematics
Johannes Lehmann, Michael Beckmann
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引用次数: 0

摘要

本文利用来自瑞士公司的新颖调查数据,实证研究了数字技术的使用与绩效激励盛行之间的关系。我们认为,数字技术倾向于通过改进员工行为和绩效的测量,以及通过与减少代理问题相结合的员工替代,降低组织监控的成本。我们预计前一种机制将提高绩效激励的普及程度,而后一种机制可能会降低绩效激励的普及程度。我们的双稳健ATE估计表明,使用商业软件和工业4.0某些关键技术的公司越来越多地采用绩效激励,这表明改进的测量效应主导了员工替代效应。此外,我们发现技术友好型公司比技术厌恶型公司更频繁地使用绩效激励。这两项发现都适用于管理人员和非管理人员。我们的估计结果对各种敏感性检查都是稳健的,并表明瑞士企业利用数字技术加强对生产或服务过程的控制,使他们能够通过绩效激励加强对员工的管理。补充信息:在线版本包含补充资料,可在10.1186/s41937-024-00132-3获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital technologies and performance incentives: evidence from businesses in the Swiss economy.

Using novel survey data from Swiss firms, this paper empirically examines the relationship between the use of digital technologies and the prevalence of performance incentives. We argue that digital technologies tend to reduce the cost of organizational monitoring through improved measurement of employee behavior and performance, as well as through employee substitution in conjunction with a reduced agency problem. While we expect the former mechanism to increase the prevalence of performance incentives, the latter is likely to decrease it. Our doubly robust ATE estimates show that companies using business software and certain key technologies of Industry 4.0 increasingly resort to performance incentives, suggesting that the improved measurement effect dominates the employee substitution effect. In addition, we find that companies emerging as technology-friendly use performance incentives more frequently than their technology-averse counterparts. Both findings hold for managerial and non-managerial employees. Our estimation results are robust to a variety of sensitivity checks and suggest that Swiss businesses leverage digital technologies to enhance control over production or service processes, allowing them to intensify their management of employees through performance incentives.

Supplementary information: The online version contains supplementary material available at 10.1186/s41937-024-00132-3.

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来源期刊
Swiss Journal of Economics and Statistics
Swiss Journal of Economics and Statistics Mathematics-Statistics and Probability
CiteScore
5.20
自引率
0.00%
发文量
18
审稿时长
15 weeks
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