Structural model in the analysis of new components of the workforce in the automotive industry with IIOT consideration

Document Type : Original Article

Authors

1 Master's degree, Faculty of Economic and Administrative Sciences, Mazandaran University, Babolsar, Iran

2 Professor, Department of Industrial Management, Faculty of Economic and Administrative Sciences, Mazandaran University, Babolsar, Iran.

3 Assistant Professor, Department of Industrial Management, Faculty of Economic and Administrative Sciences, Mazandaran University, Babolsar, Iran

10.22080/shrm.2023.4413

Abstract

Today, due to the importance of establishing the Internet of Things in the industry and the increasing progress of technologies in this field, the use of skilled workforce is necessary for the success of industries. The increasing complexity of technologies requires focusing on the necessary criteria for the skills and attributes of the workforce in the field of industrial Internet of Things.Therefore, in this research, in order to investigate the efficiency of the workforce in the implementation and acceptance of the Internet of Industrial Things in the automotive industry, the evaluation criteria and the structural relationships between them should be identified and used. For this purpose, after studying the research literature and extracting the criteria, the criteria have been localized using expert evaluation and the fuzzy Delphi Method. In following, the cause and effect relationships of the criteria have been identified by means of the Revised DEMATEL Method, then the leveling of the criteria has been done by using the Modified Total Interpretive Structural Model. MATLAB software was used for data analysis.According to the obtained results, the criteria of management support, communication skills, leadership, risk and crisis management and related work experience are causal criteria and the criteria of employee performance level, value and belief and work culture, use of digital technology and flexibility with Change of conditions are effect criteria; Therefore, managers and industries should focus on effective criteria for better implementation of industrial Internet of Things to achieve effective results.

Keywords

References

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Journal of Sustainable Human Resource Management
Volume 5, Issue 9 - Serial Number 9
August 2023
Pages 224-205

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