Veronica Leoni
Biographic Data
| ID | 6304980 |
|---|---|
| NAME | Veronica Leoni |
| GIVEN NAMES | Veronica |
| FAMILY NAME | Leoni |
| SIGNATURE | LEONI V |
| AFFILIATIONS | Universitat de les Illes Balears |
| ORCID | 0000-0001-8419-4241 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Decoding booking cancellations
This study investigates the determinants and timing of hotel booking cancellations through an integrative theoretical and empirical approach. Drawing on the theory of planned behavior, transaction cost theory, prospect theory, and strategic decision-making, we offer a comprehensive framework that explains both why and when cancellations occur. Utilizing a unique dataset of over two million hotel bookings from Mallorca, Spain (2021–2024), we apply…
Doorbusters beyond the mall
Shopping holidays are worldwide phenomena that have gained momentum in marketing and management studies; however, there is a lack of research in the tourism academia. The current study aims to contribute by proposing a generalisable theoretical framework that synthesises consumer behaviour during time-limited discounts. The analysis specifically focuses on Black Friday and its effect on hotels’ booking patterns. We use a dataset of more than four…
Customer satisfaction during Covid-19 phases
This work presents a longitudinal analysis of hotel customer satisfaction, making a comparison between pre- and post-pandemic situations, as well as a detailed analysis of the evolution of customer satisfaction throughout the different phases of the COVID-19 crisis. To this end, we used representative microdata from more than 405,000 online reviews of 802 Venetian accommodation facilities. Data were retrieved from the Booking.com platform and cov…
High tide, low price? Flooding alerts and hotel prices in Venice
This research explores the effects of High Tide alerts on hotel prices in Venice, a city that is vulnerable to the impacts of extreme climate events due to its fragile ecosystem and a long history of floods in the city center. By analyzing and combining price data from Booking.com with publicly available information on tides and weather, this study uses regression discontinuity design to test for changes in hotel prices when tide levels reach a c…
Distance Traveled in Times of Pandemic
This paper studies the change in the distance traveled by domestic tourists considering the pre- and post-pandemic outbreak summer periods of 2019 and 2020. Using representative monthly microdata involving more than 31,000 trips conducted by Spanish residents, we examine the heterogeneity in behavioral adaptation to COVID-19 based on sociodemographic and trip-related characteristics. To account for selection effects and the potential change in th…
Exposure to Covid-19 and travel intentions
The outbreak of coronavirus disease 2019 (COVID-19) has disrupted the global economy. Since containment measures directly limit mobility and social interactions, the pandemic has substantially affected the tourism sector. This work explores the effect of COVID-19 exposure on people’s travel intentions during the summer of 2020 use representative survey data for 3873 individuals collected in Spain, one of the countries with the highest infection a…
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Exposure to Covid-19 and travel intentions
The outbreak of coronavirus disease 2019 (COVID-19) has disrupted the global economy. Since containment measures directly limit mobility and social interactions, the pandemic has substantially affected the tourism sector. This work explores the effect of COVID-19 exposure on people’s travel intentions during the summer of 2020 use representative survey data for 3873 individuals collected in Spain, one of the countries with the highest infection a…
Distance Traveled in Times of Pandemic
This paper studies the change in the distance traveled by domestic tourists considering the pre- and post-pandemic outbreak summer periods of 2019 and 2020. Using representative monthly microdata involving more than 31,000 trips conducted by Spanish residents, we examine the heterogeneity in behavioral adaptation to COVID-19 based on sociodemographic and trip-related characteristics. To account for selection effects and the potential change in th…
Customer satisfaction during Covid-19 phases
This work presents a longitudinal analysis of hotel customer satisfaction, making a comparison between pre- and post-pandemic situations, as well as a detailed analysis of the evolution of customer satisfaction throughout the different phases of the COVID-19 crisis. To this end, we used representative microdata from more than 405,000 online reviews of 802 Venetian accommodation facilities. Data were retrieved from the Booking.com platform and cov…
High tide, low price? Flooding alerts and hotel prices in Venice
This research explores the effects of High Tide alerts on hotel prices in Venice, a city that is vulnerable to the impacts of extreme climate events due to its fragile ecosystem and a long history of floods in the city center. By analyzing and combining price data from Booking.com with publicly available information on tides and weather, this study uses regression discontinuity design to test for changes in hotel prices when tide levels reach a c…
Doorbusters beyond the mall
Shopping holidays are worldwide phenomena that have gained momentum in marketing and management studies; however, there is a lack of research in the tourism academia. The current study aims to contribute by proposing a generalisable theoretical framework that synthesises consumer behaviour during time-limited discounts. The analysis specifically focuses on Black Friday and its effect on hotels’ booking patterns. We use a dataset of more than four…
Decoding booking cancellations
This study investigates the determinants and timing of hotel booking cancellations through an integrative theoretical and empirical approach. Drawing on the theory of planned behavior, transaction cost theory, prospect theory, and strategic decision-making, we offer a comprehensive framework that explains both why and when cancellations occur. Utilizing a unique dataset of over two million hotel bookings from Mallorca, Spain (2021–2024), we apply…
Geography (5 works) · Tourism (5 works) · Business (4 works) · Consumer Retail Behavior Studies (2 works) · COVID-19 epidemiological studies (2 works) · COVID-19 Pandemic Impacts (2 works) · Demographic economics (2 works) · Demography (2 works) · Diverse Aspects of Tourism Research (2 works) · Economics (2 works)