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Deployment of Interpretive Structural Modeling in Barriers to Industry 4.0: A Case of Small and Medium Enterprises

Author

Listed:
  • Pankaj Goel

    (Department of Business Management, Guru Nanak Institute of Management and Technology, Ludhiana 141001, Punjab, India)

  • Raman Kumar

    (Department of Mechanical and Production Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, Punjab, India)

  • Harish Kumar Banga

    (Fashion and Lifestyle Accessory Design Department, National Institute of Fashion Technology, Mumbai 410210, Maharashtra, India)

  • Swapandeep Kaur

    (Department of Electrical Engineering, Guru Nanak Dev Engineering College, Ludhiana 141006, Punjab, India)

  • Rajesh Kumar

    (Department of Mechanical Engineering, University Institute of Engineering and Technology UIET, Panjab University, Chandigarh 160014, Punjab, India)

  • Danil Yurievich Pimenov

    (Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, 454080 Chelyabinsk, Russia)

  • Khaled Giasin

    (School of Mechanical and Design Engineering, University of Portsmouth, Portsmouth PO1 3DJ, UK)

Abstract

Small and medium enterprises (SMEs) are vital contributors and significant drivers of any manufacturing sector. The Industry 4.0 (I 4.0) revolution has made the global economy highly competitive and automated, requiring Indian SMEs to adapt more quickly. Therefore, this study aimed to identify the barriers to implementing I 4.0, simplifying the complex interrelationship among such barriers with the help of a suitable model, categorizing them as independent and dependent ones, and, ultimately, leveling the same drivers, autonomous linkages, and dependent forces. The present investigation thoroughly examined the existing literature and summarized the list of barriers into fifteen significant barriers to the smooth establishment of Industry 4.0 in India. The identified barriers were analyzed with the help of Interpretive Structural Modeling (ISM) Diagraph and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis. This study was able to explore the interrelationship among these barriers. The study has found found a lack of support from stakeholders, and insufficient managerial support emerged as a major factor neglected by Indian SMEs. However, uncertainty in the predicted demand for products, the lack of an alternate solution to the technological breakdown, and doubt about the sustainability of Industry 4.0 (relating to its potential to lead to unemployment in society, etc.) are significant contingent barriers. These barriers can impact the other strategic choices related to the successful implementation of Industry 4.0. This study’s observations can help decision-makers make strategic decisions to manage the barriers affecting Industry 4.0 in Indian SMEs. This research revealed a scope that can be extended to other South Asian and developing nations. The results of the present work can be further studied with structural equation modeling (SEM) and multiple regression analysis (MRA).

Suggested Citation

  • Pankaj Goel & Raman Kumar & Harish Kumar Banga & Swapandeep Kaur & Rajesh Kumar & Danil Yurievich Pimenov & Khaled Giasin, 2022. "Deployment of Interpretive Structural Modeling in Barriers to Industry 4.0: A Case of Small and Medium Enterprises," JRFM, MDPI, vol. 15(4), pages 1-22, April.
    • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:4:p:171-:d:789044
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    Cited by:

    1. Ankur Tayal & Saurabh Agrawal & Rajan Yadav, 2024. "Implementation of industry 4.0 in construction industry: a review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(9), pages 4163-4182, September.

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