The Role of Human Resource Practices for the Development of Operator 4.0 in Industry 4.0 Organisations: A Literature Review and a Research Agenda

Author:

Margherita Emanuele GabrielORCID,Bua IleniaORCID

Abstract

In this study, we summarised the human resources practices for the development of Operator 4.0. Operator 4.0 is the worker operating in an Industry 4.0 organisation. Such organisations introduce novel digital technologies—including Big Data, robotics, and the Internet of Things—along the assembly line. Operators 4.0 can manage Industry 4.0 technologies, and Industry 4.0 technologies also support their activities. Some studies illustrate the enabling Industry 4.0 technologies for this role and the various qualitative benefits for Operator 4.0. However, organisations encounter issues to prepare traditional manufacturing workers for this novel role, which implies a drastic change in training and designing jobs, particularly for the qualitative aspects of the work organisation and human-computer interaction. Moreover, traditional manufacturing workers do not possess the proper digital skills to manage complex Industry 4.0 technology. Thus, there is a lack of study that illustrates what organisational practices are used to develop an Operator 4.0. Human resources management is the organisational function devoted to these challenges, such as a lack of a skilled workforce in handling high-tech technologies and employee retention. It provides human resource practices to develop workers for their role. Therefore, we addressed this gap by conducting a systematic literature review to summarise the used human resource practices for the development of an Operator 4.0. The results show six human resource practices for developing an Operator 4.0: staffing, job design, training, performance appraisal system, knowledge management, and compensation. We concluded by proposing a research agenda to advance this research stream.

Publisher

MDPI AG

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3