Supply Chain Complexity and Its Impact on Knowledge Transfer: Incorporating Sustainable Supply Chain Practices in Food Supply Chain Networks

Logistics Pub Date : 2024-01-03 DOI:10.3390/logistics8010005
Hareer Fatima Ahmed, A. Hosseinian-Far, D. Sarwar, R. Khandan
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Abstract

Background: The dynamics of supply chain networks have changed due to increasing complexities. Global expansions and knowledge transfer in supply chain networks bring efficiency and effectiveness to companies. However, the probability of supply chain complexity has also been seen increasing. The barriers to sustainable supply chain networks need to be tackled in an effective manner as they impact business operations. Therefore, it is essential to eliminate and reduce the supply chain complexities, as it will facilitate the process of knowledge transfer and increase the implementation of sustainable practises in supply chain networks. In the previous research, four supply chain complexity drivers were identified. Previous research identified four supply chain complexity drivers by conducting a systematic review. This study investigates which of the four complexity drivers impacts knowledge transfer in the context of the food supply chain sector. Methods: In this research, knowledge transfer is therefore examined from the perspective of sustainable food supply chains. Thirty exploratory qualitative interviews were conducted in this study and analysed using Nvivo (v12) software. This study utilised thematic analysis techniques for the evaluation of the interviews to gather results. Results: The results illustrated six main factors classified under broad categories: integration of Knowledge Transfer, incorporation of technological advancements in supply chain networks, supply chain complexity solutions, supply chain complexity drivers, sustainable supply chain networks, and capability to reduce supply chain complexity. The findings of this study highlight that process complexity significantly influences the process of knowledge transfer in food supply chain networks. The research findings contribute to both academic and practical domains. This study contributes to the aggregation of supply chain complexity and its impact on Knowledge Transfer. Additionally, the findings support supply chain networks, which strive to achieve efficient Knowledge Transfer to attain sustainable value in business operations. Conclusion: This study has proven that robust knowledge transfer reduces supply chain complexity as it makes supply chain systems more resilient and well-coordinated in many potential ways.
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供应链复杂性及其对知识转移的影响:将可持续供应链实践纳入食品供应链网络
背景:由于日益复杂,供应链网络的动态发生了变化。供应链网络的全球扩张和知识转移为企业带来了效率和效益。然而,供应链的复杂性也在不断增加。可持续供应链网络的障碍需要以有效的方式加以解决,因为它们会影响业务运营。因此,必须消除和减少供应链的复杂性,因为这将促进知识转移的过程,并增加供应链网络中可持续实践的实施。先前的研究确定了四种供应链复杂性驱动因素。之前的研究通过系统回顾确定了四种供应链复杂性驱动因素。本研究以食品供应链行业为背景,探讨了四种复杂性驱动因素中哪一种会对知识转移产生影响。方法:因此,本研究从可持续食品供应链的角度来考察知识转移。本研究进行了 30 次探索性定性访谈,并使用 Nvivo (v12) 软件进行分析。本研究利用主题分析技术对访谈进行评估,以收集结果。结果研究结果显示了六大类主要因素:知识转移的整合、供应链网络中技术进步的融入、供应链复杂性解决方案、供应链复杂性驱动因素、可持续供应链网络以及降低供应链复杂性的能力。本研究的结果突出表明,流程复杂性对食品供应链网络中的知识转移过程有重大影响。研究结果对学术和实践领域都有贡献。本研究有助于汇总供应链复杂性及其对知识转移的影响。此外,研究结果还支持供应链网络努力实现高效的知识转移,以实现业务运营的可持续价值。结论本研究证明,稳健的知识转移能降低供应链的复杂性,因为它能以多种潜在方式提高供应链系统的弹性和协调性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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