Automation, Work Design, and Job Quality: Empirical Evidence

ERN: Equity Pub Date : 2021-09-07 DOI:10.2139/ssrn.3452464
Pinchuan Ong, I. Png
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引用次数: 3

Abstract

We investigate how automation of cognitively demanding tasks in work design (“technological deskilling”) raises worker welfare and reduces labor costs in two settings. Ride-hail drivers navigate and drive. Navigation systems automate the cognitively demanding task. Drivers valued navigation systems at 6.8 percent of their income, and, absent navigation systems, drivers were 19.5 percent less likely to work. Supermarket cashiers scan purchases and collect payments. Consumer self-payment systems automate the cognitively demanding task of collecting payments. Cashiers valued automated payments at 3.7 percent of wages and they increased labor supply by 11 percent. By increasing job quality and labor supply, technological deskilling underpins a low-cost strategy.
自动化、工作设计和工作质量:经验证据
我们研究了工作设计中认知要求任务的自动化(“技术去技能化”)如何在两种情况下提高工人福利并降低劳动力成本。叫车司机导航和驾驶。导航系统自动完成了这一需要认知能力的任务。司机认为导航系统占他们收入的6.8%,没有导航系统,司机工作的可能性降低了19.5%。超市收银员扫描商品并收取款项。消费者自我支付系统自动完成了需要认知能力的收款任务。收银员认为自动支付占工资的3.7%,他们将劳动力供应增加了11%。通过提高工作质量和劳动力供应,技术去技能化支撑了低成本战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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