Search Results - subject:"ISM method"

Decision support framework for assessing smart supply chain barriers in the context of I4.0 : Implications for sustainability

Diraz, Tanvir Ahamed; Mollah, Md. Mohiuzzaman; Anzum, … - In: Journal of open innovation : technology, market, and … 12 (2026) 1, pp. 1-23

In recent years, it has been observed that sustainable Smart Supply Chain Management (SSCM) is a critical organizational practice in ensuring profitability through mitigation of environmental as well as social risk. Up to this point, there is scant research available on the existence of barriers...

Persistent link: https://www.econbiz.de/10015639655

Structural analysis of factors for revitalizing Lena river logistics using ISM method

Kim, Yu-Na; Krasilnikova, Niurgustana; Choi, Young-Seo; … - In: Asian Journal of Shipping and Logistics (AJSL) 39 (2023) 2, pp. 46-51

Currently, inland water transport is the main mode of transport in the Republic of Sakha (Yakutia). The Lena remains the main river connecting Yakutia with the federal transport infrastructure. However, the state of the Republic's transport infrastructure does not meet the needs of its economy...

Persistent link: https://www.econbiz.de/10015471027

Structural analysis of factors for revitalizing Lena river logistics using ISM method

Kim, Yu-Na; Krasilnikova, Niurgustana; Choi, Young-Seo; … - In: The Asian Journal of Shipping and Logistics 39 (2023) 2, pp. 46-51

Persistent link: https://www.econbiz.de/10014281596

Unveiling the multidimensional factors behind service failures in OMS : a comprehensive analysis of user complaints

Zhang, Mengping; Wang, Limin; Xu, Heran; Xiong, Jingjing - In: Total quality management & business excellence 36 (2025) 15/16, pp. 1619-1633

Persistent link: https://www.econbiz.de/10015643816

How digitalization in banking improve service supply chain resilience of e-commerce sector? : a technological adoption model approach

Zaman, Syed Imran; Khan, Sharfuddin Ahmed; Qabool, Sahar; … - In: Operations management research : OMR ; advancing … 16 (2023) 2, pp. 904-930

Persistent link: https://www.econbiz.de/10014330385