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 …

We examine the published empirical literature in healthcare operations management over
the last 20 years. We note several unique characteristics of the research in healthcare …

The big data revolution is making vast amounts of information available in all sectors of the
economy including health care. One important type of data that is particularly relevant to …

The paper examines the direct and indirect effects (via investors' risk perception) of heuristic
biases on investors' irrational behavior in decision-making. The study also investigates the …

Problem definition: We study how algorithmic (versus human-based) task assignment
processes change task recipients' fairness perceptions and productivity. Academic/practical …

With the development of information technology, online trading platforms for new energy
vehicles, represented by Autohome. com, provide individualized decision-making support …

Abstract From Frederick Taylor's study of brick laying manual laborers in the early 20th
century, to the multi-year benchmarking of automotive plant productivity as part of the …

This paper studies a pricing game in which two sellers compete to sell a product to a
customer with bounded rationality. The sellers have different production costs in determining …

Patient no-shows for scheduled medical appointments are of great concern for many
healthcare providers. In this paper, we tackle the no-show problem by applying insights from …

Abstract Design thinking as a problem-solving framework has garnered significant attention
for its reliance on abductive reasoning and human-centeredness. Existing literature has …