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<p>The aim of this study is to systematically identify, validate, and prioritize barriers to Internet of Things (IoT) adoption in global supply chains through an integrated expert-driven framework. This study presents a systematic investigation of barriers impeding Internet of Things (IoT) adoption in global supply chains through an integrated methodological approach. By combining the Technology-Organization-Environment (TOE) framework with a hybrid approach incorporating the Fuzzy Delphi Method and Interval-Valued Intuitionistic Fuzzy Best-Worst Method (IVIF-BWM), we systematically identified and prioritized implementation barriers. The research methodology engaged a geographically diverse panel of 14 experts spanning five continents (North America, Europe, Asia, Middle East/Africa, South America), comprising academics and industry professionals with validated agreement (Kendall’s W = 0.78, <i>p</i> &lt; 0.01), who ranked 20 distinct barriers across technological, organizational, and environmental dimensions. Our findings reveal that organizational barriers, particularly process opacity and resistance to change, constitute the most significant challenges (weight: 0.39243), followed by technological barriers (0.36723) and environmental constraints (0.24034). The study makes theoretical contributions by providing a robust quantitative framework for barrier prioritization while addressing expert uncertainty through fuzzy logic. Additionally, it offers practical implications for supply chain managers, technology providers, and policymakers, suggesting that successful IoT implementation necessitates addressing organizational readiness before technological investment. The proposed framework remains applicable across diverse global contexts while allowing contextual recalibration in response to evolving technological and institutional conditions.</p>

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Prioritizing IoT adoption barriers in global supply chains: why organizational readiness outweighs technology investment

  • 期刊论文

  • 发表日期：

    2026年3月16日

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  • Navid Mohammadi,
  • Seyed Mohammed Ali Mousavi Roudsari,
  • Yasin Chamaei Nejad

摘要

The aim of this study is to systematically identify, validate, and prioritize barriers to Internet of Things (IoT) adoption in global supply chains through an integrated expert-driven framework. This study presents a systematic investigation of barriers impeding Internet of Things (IoT) adoption in global supply chains through an integrated methodological approach. By combining the Technology-Organization-Environment (TOE) framework with a hybrid approach incorporating the Fuzzy Delphi Method and Interval-Valued Intuitionistic Fuzzy Best-Worst Method (IVIF-BWM), we systematically identified and prioritized implementation barriers. The research methodology engaged a geographically diverse panel of 14 experts spanning five continents (North America, Europe, Asia, Middle East/Africa, South America), comprising academics and industry professionals with validated agreement (Kendall’s W = 0.78, p < 0.01), who ranked 20 distinct barriers across technological, organizational, and environmental dimensions. Our findings reveal that organizational barriers, particularly process opacity and resistance to change, constitute the most significant challenges (weight: 0.39243), followed by technological barriers (0.36723) and environmental constraints (0.24034). The study makes theoretical contributions by providing a robust quantitative framework for barrier prioritization while addressing expert uncertainty through fuzzy logic. Additionally, it offers practical implications for supply chain managers, technology providers, and policymakers, suggesting that successful IoT implementation necessitates addressing organizational readiness before technological investment. The proposed framework remains applicable across diverse global contexts while allowing contextual recalibration in response to evolving technological and institutional conditions.