Research in operations management has traditionally focused on models for understanding,
mostly at a strategic level, how firms should operate. Spurred by the growing availability of …

Purpose Contemporary supply chain relationships inherently rely on delegation of work
between organizations and, thus, are subject to agency problems for which a wide range of …

The study aims to identify the current trends, gaps, and research opportunities in research
pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain …

Despite broad agreement on the negative consequences of vaccine inequity, the distribution
of COVID-19 vaccines is imbalanced. Access to vaccines in high-income countries (HICs) is …

Inverse optimization describes a process that is the “reverse” of traditional mathematical
optimization. Unlike traditional optimization, which seeks to compute optimal decisions given …

The use of data analytics, particularly Artificial Intelligence (AI), has significantly transformed
decision-making in healthcare. However, academic scholarship has expressed concerns …

In this article, we describe representative contributions in several major application areas of
data analytics in operations management to summarize the recent development, discuss the …

In this paper, we review the existing studies on the design of financial incentives and
payment mechanisms for healthcare service providers, which have been published in the …

Premature cessation of antibiotic therapy (nonadherence) is common in long treatment
regimens and can severely compromise health outcomes. In this work, we investigate the …

Federated learning has been increasingly adopted as an effective means to cope with the
significant increase in the volume of training data needed for machine learning and address …