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1 – 2 of 2Oriol Anguera-Torrell, Jordi Vives-Perez and Juan Pedro Aznar-Alarcón
This study aims to propose and estimate the urban tourism performance index (UTPI), an index that can measure and track the month-by-month tourism performance on main tourism…
Abstract
Purpose
This study aims to propose and estimate the urban tourism performance index (UTPI), an index that can measure and track the month-by-month tourism performance on main tourism cities since the initial outbreak of the COVID-19 pandemic. The UTPI is estimated for the following urban destinations: Bangkok, Paris, London, Dubai, Singapore, Kuala Lumpur, New York, Istanbul, Tokyo, Seoul, Osaka, Phuket, Milan, Barcelona, Bali and Hong Kong.
Design/methodology/approach
Monthly based data measuring the tourism industry’s performance for these urban destinations has been collected. This data includes airlines’ and hotels’ performance, as well as potential tourists’ online searches. The obtained data has been combined using a principal component analysis, generating the UTPI.
Findings
The UTPI shows that all urban areas analyzed in this study experienced a devastating negative impact because of the COVID-19 pandemic outbreak. However, the tourism recovery evolution follows heterogeneous patterns.
Research limitations/implications
The proposed index can be estimated using additional variables. Moreover, the index is only estimated for 16 tourism cities. Future studies can reproduce the methodology by incorporating further variables and amplifying the geographical coverage.
Practical implications
The UTPI might be useful for researchers and policymakers interested in using a measure of tourism performance during the COVID-19 pandemic in some of the most important urban destinations. Likewise, the UTPI index may serve as a suitable aggregated measure of tourism performance in a post-COVID-19 era or to monitor tourism during future crises.
Originality/value
This study analyzes the tourism performance during the COVID-19 pandemic from an urban perspective.
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Llorenç Bagur-Femenías, Marian Buil-Fabrega and Juan Pedro Aznar
The purpose of this research is to analyse how to adapt teaching and learning methodologies to new generations of digital natives to promote their commitment to sustainable…
Abstract
Purpose
The purpose of this research is to analyse how to adapt teaching and learning methodologies to new generations of digital natives to promote their commitment to sustainable development. The research explores the existence of a relationship between digital natives’ characteristics, individual dynamic capabilities and their commitment to innovation and therefore to sustainability.
Design/methodology/approach
A structural equation model is used to test the proposed hypothesis by a survey conducted with 532 digital-native higher education students.
Findings
The results show the existence of a significant relationship between digital natives’ competences, individual dynamic capabilities and a better approach to managing situations with regard to relationships with key stakeholders and the fostering of innovation and commitment to the social and environmental issues demanded by society.
Research limitations/implications
The limitations of this study are that it is based on a sample from a specific Spanish university that cannot be representative of all digital natives from all universities and different cultural contexts. The variables measuring the characteristics of digital natives have only recently been used in the academic literature.
Practical implications
The research proposes including individual dynamic capabilities and innovation courses in sustainable development education to accelerate the implementation of sustainable development goals. These research findings can be used as insights into the development of university programmes and courses.
Originality/value
This research is one of the first attempts at understanding how to promote education for sustainable development among digital natives and at identifying them as future change makers for sustainable development.
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