teresa villace-molinero

Profesor Contratado Doctor

Universidad Rey Juan Carlos - Campus de Móstoles

Spain

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Teresa Villace-Molinero is a Profesor Contratado Doctor at Universidad Rey Juan Carlos - Campus de Vicálvaro in Spain. Her research areas encompass gender dynamics in talent retention within the hospitality sector, post-pandemic marketing strategies, and the application of artificial intelligence in enhancing cultural tourism experiences. Recent articles by her include studies on service learning in tourism, the impact of robots in hotels, and a comprehensive analysis of tourism trends in the context of COVID-19.

Articles (13)

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (4)

Ana Isabel Muñoz Mazon

Universidad Rey Juan Carlos - Campus de Fuenlabrada

SPAIN

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Pilar Talón-Ballestero

Profesor Titular

Universidad Rey Juan Carlos

SPAIN

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Laura Fuentes-Moraleda

Universidad Rey Juan Carlos

SPAIN

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Juan José Fernández Muñoz

Associate Professor

Universidad Rey Juan Carlos

SPAIN

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teresa villace-molinero

Research Interests

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Articles (13)

Please don't go: Gendered formal and informal tools for talent retention in hospitality from an organizational social capital approach

Post-pandemic collaborative destination marketing: Effectiveness and impact on different generational audiences

Holiday travel intention in a crisis scenario: a comparative analysis of Spain's main source markets

Service learning via tourism volunteering at university: skill-transformation and SDGs alignment through rite of passage approach

Cultural tourist and user experience with artificial intelligence: a holistic perspective from the Industry 5.0 approach

Does the Implementation of Robots in Hotels Influence the Overall TripAdvisor Rating? A Text Mining Analysis from the Industry 5.0 Approach

Communication for destinations' image in crises and disasters: a review and future research agenda

Does the Implementation of Robots in Hotels Influence the Overall TripAdvisor Rating? A Text Mining Analysis from the Industry 5.0 Approach

Predicting A New Hotel Rating System by Analysing UGC Content from Tripadvisor: Machine Learning Application to Analyse Service Robots Influence

Understanding the new post-COVID-19 risk scenario: Outlooks and challenges for a new era of tourism

Understanding the new post-COVID-19 risk scenario: Outlooks and challenges for a new era of tourism

Willingness to accept social robots in museums: an exploratory factor analysis according to visitor profile

Interaction between hotel service robots and humans: A hotel-specific Service Robot Acceptance Model (sRAM)

Collaborators (4)

Ana Isabel Muñoz Mazon

Pilar Talón-Ballestero

Laura Fuentes-Moraleda

Juan José Fernández Muñoz

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