Prioritizing Barriers to Industry 4.0 Adoption in Manufacturing MSMEs of Uttarakhand: A Fuzzy AHP and Sensitivity Analysis Approach

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Authors: Ankur Mittal Karan Oberoi
Cited by: 0

Abstract

Industry 4.0 technologies offer significant opportunities for improving the competitiveness of manufacturing MSMEs, yet their adoption remains limited due to several persistent challenges. This study identifies and prioritizes the key barriers to Industry 4.0 adoption in manufacturing MSMEs using a fuzzy Analytic Hierarchy Process (Fuzzy AHP) approach. Drawing on an extensive literature review, four main barriers and sixteen sub-barriers were identified and evaluated through expert judgments. Fuzzy AHP was applied to rank these barriers under conditions of uncertainty, and sensitivity analysis was conducted to test the stability of the ranking results. The findings show that a small number of critical barriers play a dominant role in hindering adoption, and their rankings remain largely stable across different scenarios. The study provides practical insights for MSME managers and policymakers by highlighting priority areas for intervention and supports the use of fuzzy AHP as a reliable decision-making tool for analysing complex adoption challenges.

Fields of Study & Subjects

Digital Transformation in Industry Impact of AI and Big Data on Business and Society Multi-Criteria Decision Making

Publication details

Journal / source
Economic Sciences.
Volume
22
Issue
1
Pages
82–104
Publication date
13 January 2026