近年來，「永續」已成為商業和學術界的熱門議題。在過去的幾十年中，也出現大量研究探討永續在供應鏈管理中扮演的角色。本文有兩個目的。首先，本文試圖探索永續供應鏈管理（SSCM）研究的知識結構和發展軌跡。其次，本文闡明了永續供應鏈管理和綠色供應鏈管理（GSCM）概念之間的區別和關聯。本文分析從1997年至2020年出版的1,777篇論文，應用三種研究方法，包括主路徑分析，研究群分析和內容分析。主路徑分析是一種基於文獻引用的方法，能夠描繪科學領域中的知識軌跡。研究群分析用於觀察重要研究群體之間的協作以及知識傳播。透過內容分析法以確定本文研究領域內討論熱度最高的國家、地區、產業。

本文發現過去二十年來永續供應鏈領域的發展可以分文三個階段。對供應鏈管理研究的關注點已從對環境的關注逐漸轉移到永續的三大面向（即環境，經濟和社會）。另外，永續供應鏈和綠色供應鏈在定義上部份重疊，其主要區別在於綠色供應鏈通常強調環境，而永續供應鏈僅涵蓋環境，也涵蓋經濟和社會面向。因此，在某種程度上，永續供應鏈可以看作是綠色供應鏈的延伸。本文從新的視角彙整永續供應鏈研究，並希望將有助於未來的研究人員更好地了解此領域的知識結構和發展軌跡。

Recently, sustainability has become a trendy subject in business and academia, as the last decades saw a wealth of research on the roles of sustainability in supply chain management. The purpose of the present paper is twofold. First, it attempts to explore the knowledge structure and development trajectories of sustainable supply chain management (SSCM) research. Second, it clarifies the differences and relationships between SSCM and green supply chain management (GSCM) concepts. The comprehensive literature review takes 1,777 papers from 1997 to early 2020. Multiple methods, including main path analysis, research group analysis, and content analysis, are applied. Main path analysis is a citation-based method that is able to visualize knowledge trajectories in a scientific field. Research group analysis is employed to examine the collaboration as well as knowledge transmission among significant research groups. The most popular research country/region/industry within the field are identified through content analysis.

We discover three SSCM development stages that existed over the past two decades. It is observed that focus on supply chain management studies has shifted gradually from environmental concern to the three pillars of sustainability (i.e., environment, economy, and society). Between SSCM and GSCM, there are overlaps in their definitions, and the main differences are that GSCM generally emphasizes the environment, while the SSCM covers not only the environment but also the economy and society. Accordingly, to some degree, the SSCM can be viewed as an extension of the GSCM. The results provide a fresh perspective on SSCM research and will help future researchers to better understand the knowledge structure and development trajectories of this field.

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