Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach

Author:

Sezer Muruvvet DenizORCID,Ozbiltekin-Pala MelisaORCID,Kazancoglu YigitORCID,Garza-Reyes Jose ArturoORCID,Kumar AnilORCID,Kumar VikasORCID

Abstract

AbstractNowadays, providing information flow at every phase of a knowledge-based supply chain with technologies has become a vital issue due to rapid population growth, globalisation, and increases in demand in the supply chain. Knowledge-based supply chains have a critical role in increasing resilience in supply chain processes with emerging technologies. Thus, it is necessary to determine the critical factors that increase SC resilience. Therefore, this study aims to determine SC resilience improvement factors in knowledge-based supply chains and investigate the importance level of determining factors using the Graph Theory Matrix Approach. The results suggest that the most important supply chain resilience improvement factor is Adaptive Capacity (F3), followed by Product Prioritization (F9) and Flexibility (F1), respectively. This study is expected to benefit managers and policymakers as it provides a better understanding of critical SC resilience improvement factors that play a role in knowledge-based supply chains. In order to increase resilience in the supply chain, system thinking and solutions should be encouraged by businesses to increase collaboration with stakeholders. Businesses and governments should provide collaborative long-term solutions for the uncertain environment to ensure a sustainable and resilient environment.

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3