Abstract

Supply chain management researchers are increasingly using archival data to push boundaries of existing knowledge. Archival data provide opportunities to address new research questions and offer fresh perspectives on old questions. This editorial seeks to establish a common ground regarding research design, measurement validity, and endogeneity to help both authors and reviewers fully utilize archival data to advance supply chain management knowledge

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