Social network analysis in supply chain management research

Abstract

Purpose

The purpose of this paper is to investigate when and how to best use social network analysis (SNA) in the supply chain management (SCM) discipline. In doing so, the study identifies SCM phenomena that have been examined from a social network perspective (SNA approach) in the SCM literature and highlights additional SCM phenomena that would be worth investigating using social network research. Then, the study critically investigates the application of SNA as a methodology (SNA method), with the goal of assessing and mitigating methodological risks in future studies.

Design/methodology/approach

This study carries out a systematic literature review of articles published in 11 top-tier SCM journals over a 20-year period.

Findings

First, while social network research has gained momentum especially since 2010, scholars are not yet entirely aware of the many possibilities the SNA approach offers to the SCM field. Second, expanded possibilities also hold for the development of SNA as a method.

Originality/value

The paper guides future SCM research by investigating when SNA is the right approach to use and how SNA as a method should be performed. Theoretically richer and practically more relevant research should result.

Citation

Wichmann, B.K. and Kaufmann, L. (2016), "Social network analysis in supply chain management research", International Journal of Physical Distribution & Logistics Management, Vol. 46 No. 8, pp. 740-762. https://doi.org/10.1108/IJPDLM-05-2015-0122