Business & Management Studies

A Hybrid Decision Model for Balancing the Technological Advancement, Human Intervention and Business Sustainability in Industry 5.0 Adoption

A Hybrid Decision Model for Balancing the Technological Advancement, Human Intervention and Business Sustainability in Industry 5.0 Adoption

This study highlights the challenges of Industry 5.0 in the areas of technology, the environment, society and ethics, and business and economics, as well as solution measures to address them.

Authors

Rahul Sindhwani, Fortune Institute of International Business, New Delhi, India.

Sachin Kumar Mangla, Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India; Plymouth Business School, University of Plymouth, Plymouth, United Kingdom.

Yigit Kazancoglu, Department of Logistics Management, Yasar University, İzmir, Turkey.

Ayca Maden, Industrial Engineering Department, Istanbul Beykent University, Istanbul, Turkey.

Summary

In Industry 5.0, humans and machines work together, using advanced technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and automation to improve efficiency, productivity, and quality while also supporting sustainable practices and human values. There is a growing interest in learning about the challenges of Industry 5.0 and exploring these technologies to promote sustainability and responsible business practices.

We need a hybrid decision model to strike a balance between technical progress, human values, and sustainable practices as we move toward Industry 5.0, which presents enormous challenges in the areas of technology, the environment, society and ethics, and business and economics.

Through a literature analysis guided by the PRISMA technique and the Delphi method, the study highlighted challenges in the areas of technology, the environment, society and ethics, and business and economics, as well as solution measures to address them. The weightage of the challenges was determined using the Best Worst Method, and the ranking of the potential solutions was prioritized using the Elimination and Choice Expressing Reality method.

Published in: Şen, Z., Uygun, Ö., Erden, C. (eds) Advances in Intelligent Manufacturing and Service System Informatics. IMSS 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore.

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