Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

A Roadmap for Deploying Industry 4.0 Technologies in Selected Food Industries Using the Interpretive Structural Modeling (ISM) Technique

Document Type : Original Article

Authors
H. Sharifpour 1
A.H. Safaei Ghadikolaei 2
1 M.Sc. Student in Industrial Management, University of Mazandaran, Mazandaran, Iran
2 Professor, Faculty of Economics and Administrative Sciences, University of Mazandaran, Mazandaran, Iran
10.47176/TDASS.2020.112
Abstract
In today’s highly competitive business environment, organizations must secure and sustain a competitive advantage in order to ensure long-term survival and growth. The emergence of the Fourth Industrial Revolution (Industry 4.0) has introduced a wide range of advanced technologies that not only enhance productivity but also enable firms to remain innovative, agile, and resilient. Among various sectors, the food industry is increasingly adopting Industry 4.0 technologies to improve efficiency, ensure quality, and respond to dynamic consumer demands. However, the complex interrelationships among these technologies create challenges for managers seeking to prioritize and implement them effectively. The present study investigates the interactive relationships among Industry 4.0 technologies within selected food industries. First, twenty Industry 4.0 technologies were identified through an extensive and systematic literature review. Next, the fuzzy Delphi method was employed to refine and validate this set, resulting in the selection of thirteen technologies most relevant to the food industry. To better understand their hierarchical relationships and interdependencies, the Interpretive Structural Modeling (ISM) technique was applied, leading to the development of a structured roadmap for technology deployment. The findings provide both theoretical and practical contributions by highlighting the critical technologies that should be prioritized and offering guidance for strategic implementation in food industry contexts.
Keywords
Industry 4.0
Internet of Things (IoT)
Interpretive Structural Modeling (ISM)
Food Industry
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Transactions on Data Analysis in Social Science
Volume 2, Issue 2
Spring 2020
Pages 112-122

  • Receive Date 02 March 2020
  • Revise Date 26 May 2020
  • Accept Date 23 June 2020