From supply chain learning to the learning supply chain: drivers, processes, complexity, trade-offs and challenges

Bruno Silvestre, Yu Gong, J. Bessant, C. Blome
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Abstract

PurposeThe view that supply chain learning (SCL) has become a fundamental capability that supply chains must employ to innovate and improve their financial, technological, operational, environmental and social performance is widely accepted. However, the SCL phenomenon is still understudied and not fully understood by scholars, decision-makers and government representatives. This article aims to make sense of the existing literature and to identify important research directions that require further attention.Design/methodology/approachThis article reviews the diversity of SCL in the literature, proposes a typology of such a phenomenon, provides an overview of key articles in the literature and identifies a series of recommendations for the future development of the field.FindingsThis article combines two fundamental dimensions from the literature (i.e. SCL driver and SCL network) to produce a typology of four types of SCL: Captive, Consortium, Selective and Distributed.Practical implicationsThe typology proposed here offers an important framework for supply chain decision-makers to rely on when implementing SCL initiatives. The implications of each type of SCL offer a robust rationale for decision-makers to adopt the most appropriate type of SCL or combinations of SCL types, given each situation. In addition, the typology supports policy-makers in further understanding the SCL phenomenon and creating effective innovation, economic development and sustainability policies through supply chains.Originality/valueThis article offers a novel typology that the authors hope will help scholars to advance the field of SCL in order to understand this important phenomenon. There is no good/bad/better/worse SCL type in the proposed typology, but the critical element for the success of SCL efforts is the level of fit between the type of SCL, the type of knowledge to be created and diffused, and the outcome supply chains aim to achieve with that learning effort. In addition, the authors coin the construct of “the learning supply chain”, which refers to a supply chain that learns constantly by employing all four types of SCL simultaneously.
从供应链学习到学习供应链:驱动因素、过程、复杂性、权衡和挑战
供应链学习(SCL)已成为供应链创新和改善其财务、技术、运营、环境和社会绩效的基本能力,这一观点已被广泛接受。然而,学者、决策者和政府代表对SCL现象的研究还不够充分。本文旨在对现有文献进行梳理,找出需要进一步关注的重要研究方向。本文回顾了文献中SCL的多样性,提出了这种现象的类型学,概述了文献中的关键文章,并为该领域的未来发展提出了一系列建议。本文结合了文献中的两个基本维度(即SCL驱动和SCL网络),得出了四种类型的SCL: Captive, Consortium, Selective和Distributed。实际意义本文提出的类型学为供应链决策者在实施SCL计划时提供了一个重要的框架。每种SCL类型的含义为决策者在每种情况下采用最合适的SCL类型或SCL类型组合提供了强有力的理论依据。此外,该类型学支持决策者进一步理解供应链连锁现象,并通过供应链制定有效的创新、经济发展和可持续性政策。原创性/价值本文提出了一种新的类型学,希望能帮助学者们更好地理解这一重要现象,从而推动SCL领域的发展。在提出的类型学中,没有好/坏/更好/更差的SCL类型,但SCL努力成功的关键因素是SCL类型、要创造和传播的知识类型以及供应链目标通过学习努力实现的结果之间的匹配程度。此外,作者还提出了“学习型供应链”的概念,指的是通过同时使用所有四种类型的SCL来不断学习的供应链。
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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