Critical Success Factors for Enhancing Intelligent Loading and Unloading in Urban Supply Chains: A Comprehensive Approach Based on Fuzzy DEMATEL-AISM-MICMAC DOI Creative Commons

Xiaoteng Wang,

Meihui Zhou,

Miao Su

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(4), P. 230 - 230

Published: March 27, 2025

With the development of smart logistics industry, demand for intelligent loading and unloading (ILU) within urban supply chains (USCs) is increasing. However, few studies have examined critical success factors (CSFs) enhancing ILU in USCs. This study establishes a CSF model to support improvement. Specifically, it integrates stakeholder theory, resource-based view innovation diffusion theory. Through research conducted collaboration with 16 industry specialists Korea, 19 were identified. Fuzzy DEMATEL Adversarial Interpretive Structure Model (AISM) then applied analyze identified factors. The results indicate that collaboration, government support, regulatory compliance are most important affecting improvement Finally, cross-impact matrix multiplication classification (MICMAC) analysis further verifies these high driving power low dependence, making them independent entire system. Furthermore, this emphasizes role market automated system design. work contributes knowledge on management chains.

Language: Английский

Seeking gains or avoiding losses? A study on the cohort effects of digital transformation among Chinese manufacturing enterprises DOI
Chengyu Li,

Conghui Zhu,

Yiqing Liu

et al.

Technology Analysis and Strategic Management, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: March 12, 2025

Language: Английский

Citations

0
Critical Success Factors for Enhancing Intelligent Loading and Unloading in Urban Supply Chains: A Comprehensive Approach Based on Fuzzy DEMATEL-AISM-MICMAC DOI Creative Commons

Xiaoteng Wang,

Meihui Zhou,

Miao Su

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(4), P. 230 - 230

Published: March 27, 2025

With the development of smart logistics industry, demand for intelligent loading and unloading (ILU) within urban supply chains (USCs) is increasing. However, few studies have examined critical success factors (CSFs) enhancing ILU in USCs. This study establishes a CSF model to support improvement. Specifically, it integrates stakeholder theory, resource-based view innovation diffusion theory. Through research conducted collaboration with 16 industry specialists Korea, 19 were identified. Fuzzy DEMATEL Adversarial Interpretive Structure Model (AISM) then applied analyze identified factors. The results indicate that collaboration, government support, regulatory compliance are most important affecting improvement Finally, cross-impact matrix multiplication classification (MICMAC) analysis further verifies these high driving power low dependence, making them independent entire system. Furthermore, this emphasizes role market automated system design. work contributes knowledge on management chains.

Language: Английский

Citations

0