与协作机器人合作的工人的可持续就业能力、技术接受度和任务绩效:一项试点研究

IF 2.4 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Eleonora Picco, Massimo Miglioretti, Pascale M. Le Blanc
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引用次数: 0

摘要

摘要研究了协作机器人对工人可持续就业能力和任务绩效的影响。在数字化工作场所中,SE政策是否会影响员工的任务绩效尚不清楚。利用两个SE模型,本研究旨在确定SE政策和任务绩效之间的关系是否受到健康和生产能力的调节,以及这种影响是否受到用户接受度和技术使用(UTAUT)预测因子水平的调节。88名员工与协作机器人合作,或预计在不久的将来这样做,回答了一项横断面调查。SE政策通过健康和生产能力与任务绩效呈正相关。这种间接影响被UTAUT预测因子的水平所调节,只有在调节因子的低或中等水平时才显着。SE政策有助于提高员工的能力,进而影响员工的任务绩效。在员工对协作机器人的接受程度还不高的情况下,培养健康和生产能力至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainable employability, technology acceptance and task performance in workers collaborating with cobots: a pilot study
Abstract Sustainable Employability (SE) and task performance of workers-collaborating-with-cobots is challenged. Whether SE policies can impact workers’ task performance in digitalized workplaces is still unknown. Drawing on two SE models, this study aims to ascertain whether the relationship between SE policies and task performance is mediated by health and productive capabilities, and whether this effect is moderated by the levels of User Acceptance and Use of Technology (UTAUT) predictors. 88 employees collaborating with cobots, or expected to do so in the near future, answered a cross-sectional survey. SE policies were positively related to task performance via health and productive capabilities. This indirect effect was moderated by the levels of UTAUT predictors, being significant only at low or medium levels of the moderators. SE policies contribute to employee capabilities, and in turn to workers’ task performance. Fostering health and productive capabilities is fundamental when employee levels of cobots’ acceptance are not high yet.
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来源期刊
Cognition Technology & Work
Cognition Technology & Work ENGINEERING, INDUSTRIAL-
CiteScore
6.90
自引率
7.70%
发文量
26
审稿时长
>12 weeks
期刊介绍: Cognition, Technology & Work focuses on the practical issues of human interaction with technology within the context of work and, in particular, how human cognition affects, and is affected by, work and working conditions. The aim is to publish research that normally resides on the borderline between people, technology, and organisations. Including how people use information technology, how experience and expertise develop through work, and how incidents and accidents are due to the interaction between individual, technical and organisational factors. The target is thus the study of people at work from a cognitive systems engineering and socio-technical systems perspective. The most relevant working contexts of interest to CTW are those where the impact of modern technologies on people at work is particularly important for the users involved as well as for the effects on the environment and plants. Modern society has come to depend on the safe and efficient functioning of a multitude of technological systems as diverse as industrial production, transportation, communication, supply of energy, information and materials, health and finance.
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