Behavioral operations research has proliferated greatly over the decade since its first formal
review in 2006. The growth of the field warrants an objective map** of contributions to the …

This study reviews the research on planning and scheduling in healthcare published in
Production and Operations Management (POM) and other prestigious operations …

We trace the evolution of research on organizational learning. As organizations acquire
experience, their performance typically improves at a decreasing rate. Although this learning …

Problem definition: We study the disproportionate impact of the lockdown as a result of the
COVID-19 outbreak on female and male academic research productivity in social science …

The emergence of digital technologies across all aspects of operations management (OM)
has enabled shifts in decision making, sha** new operational dynamics and business …

Problem definition: We study the adherence to the recommendations of a decision support
system (DSS) for clearance markdowns at Zara, the Spanish fast fashion retailer. Our focus …

Problem definition: In this research, we study how buyers' use of artificial intelligence (AI)
affects suppliers' price quoting strategies. Specifically, we study the impact of automation …

Conventional optimization algorithms that prescribe order packing instructions (which items
to pack in which sequence in which box) focus on box volume utilization yet tend to overlook …

A new generation of healthcare operations management (HOM) scholars is studying timely
healthcare topics (eg, organization design, design of delivery, and organ transplantation) …

Data-driven decision-making (DDD) is rapidly transforming modern operations. The
availability of big data, advances in data analytics tools, and rapid gains in processing …