Administrative and medical processes of the healthcare organizations are rapidly changing because of the use of artificial intelligence (AI) systems. This change demonstrates the critical impact of AI at multiple activities, particularly in medical processes related to early detection and...

Monetary incentives underlie academic publications, especially in countries where many researchers' incomes are performance-based. Evidence has documented that social ties improve the chances of publication in journals, whereas building and maintaining social ties require resources. We develop a...

Bold et al. (2022b) investigate the effect of providing access to a larger, centralized market where quality is rewarded with a premium on farm productivity and framing incomes from smallholder maize farmers in western Uganda, using a series of randomized experiments and a...

In a world that has rapidly transformed through the advent of artificial intelligence (AI), our systematic review, guided by the PRISMA protocol, investigates a decade of AI research, revealing insights into its evolution and impact. Our study, examining 3,767 articles, has drawn considerable...

The wine industry, considered to be male-dominated, has seen a growing share of women winemakers. Using a randomized online experiment, we investigate how the producer's gender influences consumers' willingness to pay for the wine. Gender can be identified either from the first name of the...

As the not-so-new-now coronavirus pandemic has affected all walks of life, education has not been an exemption; what is more, it is one of the most severely hit sectors. The unknown crisis created unprecedented circumstances for all participants in the education process, and school leaders have...

In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...

The objective of the paper is to equilibrate the sectorial imbalances of the production of goods and services, identified in the Cuban productive structure, following a methodology that includes mathematical modeling. Econometric and goal programming (GP) models are designed to assess the...

One of the most important challenges facing the optimal management of power resources for industrial customers is considering the latest available technologies for this purpose. In this regard, this article investigates the most important technologies and methods available in this field and...