Barriers to Industry 4.0 technology adoption in agricultural supply chains: a Fuzzy Delphi-ISM approach

Article


Chanchaichujit, J., Balasubramanian, S and Shukla, V. 2024. Barriers to Industry 4.0 technology adoption in agricultural supply chains: a Fuzzy Delphi-ISM approach. International Journal of Quality and Reliability Management. https://doi.org/10.1108/ijqrm-07-2023-0222
TypeArticle
TitleBarriers to Industry 4.0 technology adoption in agricultural supply chains: a Fuzzy Delphi-ISM approach
AuthorsChanchaichujit, J., Balasubramanian, S and Shukla, V.
Abstract

Purpose
The purpose of this study is to identify and analyze the barriers associated with the adoption of Industry 4.0 technologies in agricultural supply chains.

Design/methodology/approach
The study initially identified thirteen barriers by conducting a literature review and semi-structured interviews with key stakeholders. Subsequently, these barriers were validated and modeled using an integrated Fuzzy Delphi-ISM approach. Finally, MICMAC analysis was employed to categorize the barriers into distinct clusters.

Findings
The results provide considerable insights into the hierarchical structure and complex interrelationships between the barriers as well the driving and dependence power of barriers. Lack of information about technologies and lack of compatibility with traditional methods emerged as the two main barriers which directly and indirectly influence the other ones.

Research limitations/implications
The robust hybrid Fuzzy Delphi and ISM techniques used in this study can serve as a useful model and benchmark for similar studies probing the barriers to Industry 4.0 adoption. From a theoretical standpoint, this study expands the scope of institutional theory in explaining Industry 4.0 adoption barriers.

Practical implications
The study is timely for the post-COVID-19 recovery and growth of the agricultural sector. The findings are helpful for policymakers and agriculture supply chain stakeholders in devising new strategies and policy interventions to prioritize and address Industry 4.0 adoption barriers.

Originality/value
It is the first comprehensive, multi-country and multi-method empirical study to comprehensively identify and model barriers to Industry 4.0 adoption in agricultural supply chains in emerging economies.

KeywordsIndustry 4.0; Barriers; Agriculture; Emerging countries; Interpretive Structural Modeling (ISM); Fuzzy Delphi Technique
Sustainable Development Goals12 Responsible consumption and production
Middlesex University ThemeSustainability
Research GroupTechnology and Sustainability
LanguageEnglish
PublisherEmerald
JournalInternational Journal of Quality and Reliability Management
ISSN0265-671X
Electronic1758-6682
Publication dates
Online29 Feb 2024
Publication process dates
Submitted11 Jul 2023
Accepted05 Feb 2024
Deposited15 Apr 2024
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

Copyright © 2024, Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.

Digital Object Identifier (DOI)https://doi.org/10.1108/ijqrm-07-2023-0222
Web of Science identifierWOS:001174316900001
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