International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749

A Framework for New Workforce Skills in the Era of Industry 4.0

Nesrin Ada
Department of Business Administration, Ege University, Bornova, Izmir, Turkey.

Derya Ilic
Department of Business Administration, Ege University, Bornova, Izmir, Turkey.

Muhittin Sagnak
Department of Information Management, Izmir Katip Celebi University, Cigli, Izmir, Turkey.

DOI https://doi.org/10.33889/IJMEMS.2021.6.3.046

Received on December 13, 2020
  ;
Accepted on March 18, 2021

Abstract

Radical changes and developments resulting from global connectivity, automation, and technological innovations due to Industry 4.0 create different job demands for businesses. This requirement enforces human resource managers to rethink the acquisition and application of different skills in recruitment and other human resources functions considered essential for today’s workforce. This paper aims to propose a framework identifying the skill set required for personnel selection in the era of Industry 4.0, and provide a roadmap for human resources managers by analyzing the importance of different skill categories. Fuzzy Analytic Network Process (ANP) was used to compute the factors’ weights. Project Management skill was found as the most important factor, followed by Financial Management, Technology-based Skills, Digital Literacy, Literacy, Innovation, and Creativity skills. Discussions and implications are given based on obtained results.

Keywords- Industry 4.0, Fuzzy ANP, Human resources management, Human resources functions, Workforce skills.

Citation

Ada, N., Ilic, D., & Sagnak, M. (2021). A Framework for New Workforce Skills in the Era of Industry 4.0. International Journal of Mathematical, Engineering and Management Sciences, 6(3), 771-786. https://doi.org/10.33889/IJMEMS.2021.6.3.046.

Conflict of Interest

The authors confirm that there is no conflict of interest to declare for this publication.

Acknowledgements

Authors express their sincere thanks to the 30 participants from 12 companies for the data collection process of the case study.

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