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Jorge de Andrés-Sánchez

3 papers indexed

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…

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crossrefElectronics2025-08-17

Assessing Chatbot Acceptance in Policyholder’s Assistance Through the Integration of Explainable Machine Learning and Importance–Performance Map Analysis

Jaume Gené-Albesa, Jorge de Andrés-Sánchez

Companies are increasingly giving more attention to chatbots as an innovative solution to transform the customer service experience, redefining how they interact with users and optimizing their support processes. This study analyzes the acceptance of conversational robots in cust…

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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…

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