Integrated knowledge management in the supply chain: Assessment of knowledge adoption solutions through a comprehensive CoCoSo method under uncertainty-Reference-Cited by-同舟云学术

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Integrated knowledge management in the supply chain: Assessment of knowledge adoption solutions through a comprehensive CoCoSo method under uncertainty

Published:2024-05 Issue: Volume:39 Page:100581
ISSN:2452-414X
Container-title:Journal of Industrial Information Integration
language:en
Short-container-title:Journal of Industrial Information Integration

Author:

Jafari Mostafa,Naghdi Khanachah Shayan^ORCID

Publisher

Elsevier BV

Reference78 articles.

1. The role of innovation and information sharing in supply chain management and business performance of halal products in tourism destinations;Adnani;Uncertain. Supply Chain Manag.,2023

2. Frontier-based performance analysis models for supply chain management: state of the art and research directions;Agrell;Comput. Ind. Eng.,2013

3. Knowledge sharing barriers in software development teams: a multiple case study in Turkey;Akgün;Kybernetes,2017

4. Achieving resilience through knowledge management practices and risk management culture in agri-food supply chains;Ali;Supply Chain Manag.: Int. J.,2023

5. Effect of information sharing in supply chains: understanding the roles of supply chain visibility, agility, collaboration on supply chain performance;Baah;Benchmark.: Int. J.,2022

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-Organizational knowledge sharing partner selection based on Fogg Behavioral Model in probabilistic hesitant fuzzy environment;Expert Systems with Applications;2024-09

2. Investigating the moderating role of technology turbulence and innovation capabilities in servant leadership, knowledge management and frugal innovation;Journal of Science and Technology Policy Management;2024-08-28

3. An integrated multi-attributive border approximation area comparison (MABAC) method for evaluating resilience and knowledge sharing of suppliers in pythagorean fuzzy environment;Artificial Intelligence Review;2024-08-02

4. A systems perspective on the approach to industrial chain and supply chain ecology;Systems Research and Behavioral Science;2024-07-04

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