Mapping industry 4.0 strategies for sustainable logistics: insights from the electronic industry in emerging markets

Sheak Salman (), Md. Rezaul Karim (), Shah Murtoza Morshed (), Rafat Rahman (), Saifur Rahman Tushar (), Sharmine Akther Liza () and Naimur Rahman Chowdhury ()
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Sheak Salman: Ahsanullah University of Science and Technology
Md. Rezaul Karim: Ahsanullah University of Science and Technology
Shah Murtoza Morshed: Ahsanullah University of Science and Technology
Rafat Rahman: Ahsanullah University of Science and Technology
Saifur Rahman Tushar: Bangladesh University of Textiles
Sharmine Akther Liza: Lehigh University
Naimur Rahman Chowdhury: North Carolina State University

International Journal of System Assurance Engineering and Management, 2025, vol. 16, issue 6, No 17, 2246-2264

Abstract: Abstract The increasing emphasis on sustainability and resource optimization in logistics, particularly through Industry 4.0 strategies, necessitates a focused investigation in emerging economies. This study explores how Industry 4.0 can drive sustainable logistics in the electronic industry of an emerging market, addressing a critical gap in existing research. Using advanced modeling techniques i.e., Fuzzy total interpretive structural modeling (Fuzzy-TISM) and fuzzy Cross-impact matrix multiplication applied to classification (fuzzy-MICMAC), the authors identify and prioritize key strategies. These methods help map the interrelationships among strategies, distinguishing those that drive change from those that depend on other factors. Findings highlight the importance of establishing standardized benchmarking frameworks and leveraging RFID technology for real-time tracking and environmental adaptability. By offering a structured approach to Industry 4.0 adoption, this study provides actionable insights for policymakers and industry leaders seeking to enhance sustainable logistics practices in resource-constrained environments.

Keywords: Industry 4.0; Sustainable logistics; Electronic industry; Emerging economy; Fuzzy-TISM; Fuzzy- MICMAC (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s13198-025-02798-1

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