A Replication Study of Operations Management Experiments in Management Science

Andrew M. Davis (), Blair Flicker (), Kyle Hyndman (), Elena Katok (), Samantha Keppler (), Stephen Leider (), Xiaoyang Long () and Jordan D. Tong ()
Additional contact information
Andrew M. Davis: Samuel Curtis Johnson Graduate School of Management, Cornell University, Ithaca, New York 14853
Blair Flicker: Darla Moore School of Business, University of South Carolina, Columbia, South Carolina 29208
Kyle Hyndman: Naveen Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080
Elena Katok: Naveen Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080
Samantha Keppler: Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109
Stephen Leider: Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109
Xiaoyang Long: Wisconsin School of Business, University of Wisconsin–Madison, Madison, Wisconsin 53706
Jordan D. Tong: Wisconsin School of Business, University of Wisconsin–Madison, Madison, Wisconsin 53706

Management Science, 2023, vol. 69, issue 9, 4977-4991

Abstract: Over the last two decades, researchers in operations management have increasingly leveraged laboratory experiments to identify key behavioral insights. These experiments inform behavioral theories of operations management, impacting domains including inventory, supply chain management, queuing, forecasting, and sourcing. Yet, until now, the replicability of most behavioral insights from these laboratory experiments has been untested. We remedy this with the first large-scale replication study in operations management. With the input of the wider operations management community, we identify 10 prominent experimental operations management papers published in Management Science , which span a variety of domains, to be the focus of our replication effort. For each paper, we conduct a high-powered replication study of the main results across multiple locations using original materials (when available and suitable). In addition, our study tests replicability in multiple modalities (in-person and online) due to laboratory closures during the COVID-19 pandemic. Our replication study contributes new knowledge about the robustness of several key behavioral theories in operations management and contributes more broadly to efforts in the operations management field to improve research transparency and reliability.

Keywords: replication; operations management; experiments; management science replication project (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.2023.4866 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:69:y:2023:i:9:p:4977-4991

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().