A Replication Study of Operations Management Experiments in Management Science

• 成果类型: Article
• 署名作者: Davis, Andrew M.; Flicker, Blair; Hyndman, Kyle; Katok, Elena; Keppler, Samantha; Leider, Stephen; Long, Xiaoyang; Tong, Jordan D.
• 署名单位: Cornell University; University of South Carolina System; University of South Carolina Columbia; University of Texas System; University of Texas Dallas; University of Michigan System; University of Michigan; University of Wisconsin System; University of Wisconsin Madison
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2023.4866
• 发表日期: 2023
• 页码: 4977-4991
• 关键词: replication; operations management; experiments; management science replication project

摘要

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.