Purpose

The 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/approach

This 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.

Findings

This 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 implications

The 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/value

This 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.

中文翻译：

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从供应链学习到学习供应链：驱动因素、流程、复杂性、权衡和挑战

目的

供应链学习（SCL）已成为供应链创新和改善其财务、技术、运营、环境和社会绩效所必须采用的基本能力，这一观点已被广泛接受。然而，学者、决策者和政府代表仍未充分研究和充分理解 SCL 现象。本文旨在理解现有文献并确定需要进一步关注的重要研究方向。

设计/方法论/途径

本文回顾了 SCL 文献的多样性，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。

发现

本文结合了文献中的两个基本维度（即 SCL 驱动程序和 SCL 网络），生成了四种类型 SCL 的类型：强制型、联盟型、选择性型和分布式型。

实际影响

这里提出的类型为供应链决策者在实施 SCL 计划时提供了一个可以依赖的重要框架。每种类型的 SCL 的含义为决策者根据每种情况采用最合适的 SCL 类型或 SCL 类型组合提供了强有力的理由。此外，该类型还支持政策制定者进一步了解 SCL 现象，并通过供应链制定有效的创新、经济发展和可持续发展政策。

原创性/价值

本文提供了一种新颖的类型学，作者希望能够帮助学者们推进 SCL 领域的发展，以理解这一重要现象。在所提出的类型学中，不存在好/坏/更好/更差的 SCL 类型，但是 SCL 努力成功的关键因素是 SCL 类型、要创建和传播的知识类型以及供应链旨在通过学习努力实现的成果。此外，作者还提出了“学习供应链”的概念，指的是通过同时采用所有四种类型的 SCL 来不断学习的供应链。