Mario Arias-Oliva — Papers on Cortexa

crossrefAI2026-01-21Cited by 1

Integrating Machine-Learning Methods with Importance–Performance Maps to Evaluate Drivers for the Acceptance of New Vaccines: Application to AstraZeneca COVID-19 Vaccine

Jorge de Andrés-Sánchez, Mar Souto-Romero, Mario Arias-Oliva

Background: The acceptance of new vaccines under uncertainty—such as during the COVID-19 pandemic—poses a major public health challenge because efficacy and safety information is still evolving. Methods: We propose an integrative analytical framework that combines a theory-based…

View free PDFSource page

crossrefAlgorithms2025-07-03Cited by 4

Integrating Machine Learning Techniques and the Theory of Planned Behavior to Assess the Drivers of and Barriers to the Use of Generative Artificial Intelligence: Evidence in Spain

Antonio Pérez-Portabella, Jorge de Andrés-Sánchez, Mario Arias-Oliva, Mar Souto-Romero

Generative artificial intelligence (GAI) is emerging as a disruptive force, both economically and socially, with its use spanning from the provision of goods and services to everyday activities such as healthcare and household management. This study analyzes the enabling and inhi…

View free PDFSource page