Barriers and opportunities of data spaces in smart tourism destinations: insights from Benidorm (Spain)
Supporting Agencies
- This work is funded by CIAICO/2022/019 project from Generalitat Valenciana.
Abstract
Smart tourism destinations aim to manage data coming from deployment of ICT solutions for the sake of an actionable decision-making process. However, data management in the tourism domain have some challenges, such as (i) the need of tourism sector for including external, non-tourism data to make the data more meaningful; (ii) the very heterogeneous nature of tourism data by subject matter; as well as (iii) data coming from many levels of granularity (e.g., city, region, or nation). In order to propose how to properly address these challenges, contribution of this paper is twofold. First, opportunities and barriers that held data-driven smart tourism destinations are analyzed by considering the case study of Visit Benidorm, the Destination Management Organization (DMO) of Benidorm, which is the first city certified as smart tourism destination according to the Spanish standards. Secondly, insights are provided that allow to state that data spaces in the tourism sector are required for DMOs to unleashing the potential of data in a smart tourism destination.
Downloads
-
Abstract56
-
PDF INGLÉS38
-
PDF ESPAÑOL (Español (Esp...38
References
Bibri, S. E., and Krogstie, J. (2020). The emerging data–driven Smart City and its innovative applied solutions for sustainability: The cases of London and Barcelona. Energy Informatics, 3(1), 1–42.
Boes, K., Buhalis, D., and Inversini, A. (2016). Smart tourism destinations: Ecosystems for tourism destination competitiveness. International Journal of Tourism Cities, 2(2), 108–124. https://doi.org/10.1108/IJTC-12-2015-0032
Celdrán-Bernabeu, M. A., Mazón, J. N., and Giner, D. (2018). Open Data and tourism. Implications for tourism management in Smart Cities and Smart Tourism Destinations. Investigaciones Turísticas, (15), 49–78. https://doi.org/10.14198/INTURI2018.15.03
Del Vecchio, P., Mele, G., Ndou, V., and Secundo, G. (2018). Creating value from social big data: Implications for smart tourism destinations. Information Processing and Management, 54(5), 847–860. https://doi.org/10.1016/j.ipm.2017.10.006
European Commission, Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs, Galasso, G., Montino, C., Sidoti, A., et al. (2022). Study on mastering data for tourism by EU destinations. Publications Office of the European Union. https://doi.org/10.2873/23880
Gretzel, U., Sigala, M., Xiang, Z., and Koo, C. (2015). Smart tourism: Foundations and developments. Electronic Markets, 25(3), 179–188. https://doi.org/10.1007/s12525-015-0196-8
Ivars-Baidal, J. A., Celdrán-Bernabeu, M. A., Mazón, J. N., and Perles-Ivars, Á. F. (2019). Smart destinations and the evolution of ICTs: A new scenario for destination management? Current Issues in Tourism, 22(13), 1581–1600. https://doi.org/10.1080/13683500.2017.1388771
Janssen, M., Charalabidis, Y., and Zuiderwijk, A. (2012). Benefits, adoption barriers and myths of open data and open government. Information Systems Management, 29(4), 258–268. https://doi.org/10.1080/10580530.2012.716740
Lim, C., Kim, K. J., and Maglio, P. P. (2018). Smart cities with big data: Reference models, challenges, and considerations. Cities, 82, 86–99. https://doi.org/10.1016/j.cities.2018.04.011
Ojo, A., Curry, E., and Zeleti, F. A. (2015, January). A tale of open data innovations in five smart cities. In 2015 48th Hawaii International Conference on System Sciences (pp. 2326–2335). IEEE. https://doi.org/10.1109/HICSS.2015.280
Otto, B. (2022). A federated infrastructure for European data spaces. Communications of the ACM, 65(4), 44–45. https://doi.org/10.1145/3512341
Rashid, Y., Rashid, A., Warraich, M. A., Sabir, S. S., and Waseem, A. (2019). Case study method: A step-by-step guide for business researchers. International Journal of Qualitative Methods, 18, 1609406919862424. https://doi.org/10.1177/1609406919862424
SEGITTUR. (2015). Methodological report: Smart tourism destinations. Sociedad Estatal para la Gestión de la Innovación y las Tecnologías Turísticas. https://www.segittur.es
Shahat Osman, A. M., and Elragal, A. (2021). Smart Cities and Big Data Analytics: A Data-Driven Decision-Making Use Case. Smart Cities, 4(1), 286–313. https://doi.org/10.3390/smartcities4010016
World Tourism Organization (UNWTO). (2019). UNWTO Guidelines for Institutional Strengthening of Destination Management Organizations (DMOs) – Preparing DMOs for new challenges. UNWTO.
Copyright (c) 2025 Cuadernos de Turismo

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Las obras que se publican en esta revista están sujetas a los siguientes términos:
1. El Servicio de Publicaciones de la Universidad de Murcia (la editorial) conserva los derechos patrimoniales (copyright) de las obras publicadas, y favorece y permite la reutilización de las mismas bajo la licencia de uso indicada en el punto 2.
2. Las obras se publican en la edición electrónica de la revista bajo una licencia Creative Commons Reconocimiento-NoComercial-SinObraDerivada 3.0 España (texto legal). Se pueden copiar, usar, difundir, transmitir y exponer públicamente, siempre que: i) se cite la autoría y la fuente original de su publicación (revista, editorial y URL de la obra); ii) no se usen para fines comerciales; iii) se mencione la existencia y especificaciones de esta licencia de uso.
3. Condiciones de auto-archivo. Se permite y se anima a los autores a difundir electrónicamente las versiones pre-print (versión antes de ser evaluada) y/o post-print (versión evaluada y aceptada para su publicación) de sus obras antes de su publicación, ya que favorece su circulación y difusión más temprana y con ello un posible aumento en su citación y alcance entre la comunidad académica. Color RoMEO: verde.




_.jpg)


