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Editorial Commentary: Addressing Confusion in the Diffusion of Archival Data Research

Author

Listed:
  • Jason Miller
  • Beth Davis‐Sramek
  • Brian S. Fugate
  • Mark Pagell
  • Barbara B. Flynn

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.

Suggested Citation

  • Jason Miller & Beth Davis‐Sramek & Brian S. Fugate & Mark Pagell & Barbara B. Flynn, 2021. "Editorial Commentary: Addressing Confusion in the Diffusion of Archival Data Research," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(3), pages 130-146, July.
    • Handle: RePEc:bla:jscmgt:v:57:y:2021:i:3:p:130-146
    DOI: 10.1111/jscm.12236
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    3. Miller, Jason W. & Phares, Jonathan & Burks, Stephen V., 2023. "Job Creation and Job Destruction Dynamics in the U.S. Truck Transportation Industry, 1995-2019," IZA Discussion Papers 16184, Institute of Labor Economics (IZA).

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