4.3 Article

Uncovering the supplier selection knowledge structure: A systematic citation network analysis from 1991 to 2017

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Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.pursup.2018.10.002

Keywords

Supplier selection; Supply chain management; Citation network analysis; Main path analysis; Systematic literature review; Mixed-method approach

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Because of the critical role supplier selection plays in organizational success, both practitioners and academics have expressed a strong interest in the subject area generating an extensive body of research. The volume and breadth of publications in this area makes it difficult to understand the knowledge structure of the field and the academic work that has influenced the evolution of the domain. This mixed-method study systematically reviews 246 papers that investigated supplier selection issues and were published between 1991 and 2017. We initially examined the statistics of papers by unveiling influential journals, affiliations and articles. Second, we utilized co-citation network analysis, an objective procedure to extract clusters of what has been researched in supplier selection literature. The study analytically retrieves six major knowledge clusters: 1) conceptual foundation of the field; 2) modeling of the procurement environment; 3) handling group-decision making and unprecise input data; 4) computational research; 5) green/sustainable research and 6) risk-based supplier selection. Finally, we conducted main path analysis to get an overview of the evolution of knowledge in the supplier selection field by uncovering its major paths and key articles.

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