ADVANTAGES AND BARRIERS IN THE CREATION OF A TOURISM INTELLIGENCE SYSTEM IN SMART DESTINATIONS
Abstract
This research work highlights the importance of implementing a Tourism Intelligence System in destinations and the results show its advantages (improvement in decision-making and the tourist's experience) and barriers (need for resources and resistance to change of agents). In-depth interviews were conducted with 15 Spanish and international experts. This study contributes to the advancement of tourism intelligence, guides its implementation and is a pioneer in its practical application to improve tourism management.
Downloads
References
AENOR (2016): «Gestionar el modelo de Destino Turístico Inteligente», Revista AENOR, pp. 10-15.
AHANI, A., NILASHI, M., IBRAHIM, O., SANZOGNI, L. y WEAVEN, S. (2019): «Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews», International Journal of Hospitality Management, vol. 80, pp. 52-77. https://doi.org/10.1016/j.ijhm.2019.01.003
ALMOBAIDEEN, W., KRAYSHAN, R., ALLAN, M. y SAADEH, M. (2017): «Internet of things: geographical routing based on healthcare centers vicinity for mobile smart tourism destination», Technological Forecasting and Social Change, vol. 123, pp. 342-350. https://doi.org/10.1016/j.techfore.2017.04.016
ANDRONIE, M., LĂZĂROIU, G., IATAGAN, M., HURLOIU, I., ȘTEFĂNESCU, R., DIJMĂRESCU, A. y DIJMĂRESCU, I. (2023): «Big Data management algorithms, deep learning-based object detection technologies, and geospatial simulation and sensor fusion tools in the internet of robotic things», ISPRS International Journal of Geo-Information, vol, 12 (2), p. 35. https://doi.org/10.3390/ijgi12020035
ARDITO, L., CERCHIONE, R., DEL VECCHIO, P. y RAGUSEO, E. (2019): «Big data in smart tourism: challenges, issues and opportunities», Current Issues in Tourism, vol. 22 (15), pp. 1.805-1809. https://doi.org/10.1080/13683500.2019.1612860
AZMI, E., CHE ROSE, R.A., AWANG, A. y ABAS, A. (2023): «Innovative and competitive: a systematic literature review on new tourism destinations and products for tourism supply», Sustainability, vol. 15 (2), p. 1187. https://doi.org/10.3390/su15021187
BERENGUER, A., FERNÁNDEZ ROS, D.F., GÓMEZ-OLIVA, A., IVARS-BAIDAL, J.A., JARA, A.J., LABORDA, J., MAZÓN, J.N. y PERLES, A. (2022): «Crowd monitoring in smart destinations Based on GDPR-Ready opportunistic RF scanning and classification of WiFi devices to identify and classify visitors», Origins. Electronics, vol. 11 (6), p. 835. https://doi.org/10.3390/electronics11060835
BHARADIYA, J.P. (2023): «Machine learning and AI in business intelligence: Trends and opportunities», International Journal of Computer, vol. 48 (1), pp. 123-134. https://doi.org/10.11648/j.ajai.20230701.14
BIRENBOIM, A., ANTON CLAVÉ, S., GANZAROLI, A., BORNIOLI, A., VERMEULEN, S., ZUCKERMAN FARKASH, M., PASTOR ALCARAZ, A. e IVARS BAIDAL, J.A. (2022): «Touristification, smartization, and social sustainability in European regions», Current Issues in Tourism, vol. 26 (3), pp. 353-357. https://doi.org/10.1080/13683500.2022.2051449
BOES, K., BUHALIS, D. e INVERSINI, A. (2015): «Conceptualising smart tourism destination dimensions», en TUSSYADIAH, I. e INVERSINI, A. (Eds.) Information and Communication Technologies in Tourism 2015 (Proceedings of the International Conference in Lugano, Switzerland, February 3-6). Berlin-Heidelberg Springer, pp. 391-403. https://doi.org/10.1007/978-3-319-14343-9_29
BOTTI, A. y MONDA, A. (2023): «Big Data and Its Impact on Tourism and Entrepreneurship», en VISVIZI, A., TROISI, O. y GRIMALDI, M. (Eds.) Big Data and decision-making: applications and uses in the public and private sector (Emerald Studies in Politics and Technology), Emerald Publishing Limited, Leeds, pp. 107-119. https://doi.org/10.1108/978-1-80382-551-920231008
BUONINCONTRI, P. y MICERA, R. (2016): «The experience co-creation in smart tourism destinations: a multiple case analysis of European destinations», Information Technology and Tourism, vol. 16 (3), pp. 285-315. https://doi.org/10.1007/s40558-016-0060-5
CACHO, A. FIGUEREDO, M., CASSIO, A., ARAUJO, M. V., MENDES, L., LUCAS, J., FARIAS, F., COELHO, J., CACHO, N. y PROLO, C. (2016): «Social Smart Destination: A Platform to Analyze User Generated Content in Smart Tourism Destinations», en ROCHA, Á., CORREIA, A., ADELI, H., REIS, L. y MENDONÇA TEIXEIRA, M. (Eds.) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing. Springer International Publishing, pp. 817-826.
CARIPUNA, L.A., DE MORAES, M.C., FIGUEROA, P.R., PONTES, A.N. y DE PAULA, M.T. (2023): «Destino turístico inteligente e sustentabilidade: revisão bibliográfica», Peer Review, vol. 5 (12), pp. 99-118. https://doi.org/10.53660/576.prw2021
CASADO SALGUERO, G., FERNÁNDEZ GÁMEZ, M.A., ALDEANUEVA FERNÁNDEZ, I. y RUÍZ PALOMO, D. (2019): «Competitive intelligence and sustainable competitive advantage in the hotel industry», Sustainability, vol. 11 (6). https://doi.org/10.3390/su11061597
COOPER, C., FLETCHER, J., FYALL, A., GILBERT, D. y WANHILL, S. (2007): El turismo: Teoría y práctica. Madrid, Editorial Síntesis.
DE LIMA FIGUEIREDO, N., FERNANDES, C.I. y ABRANTES, J.L. (2023): «Triple Helix Model: Cooperation in Knowledge Creation», vol. 14, pp. 854–878. https://doi.org/10.1007/s13132-022-00930-1
DEL VECCHIO, P., MELE, G., NDOU, V. y SECUNDO, G. (2018): «Creating value from social big data: implications for smart tourism destinations», Information Processing and Management, vol. 54, pp. 847-860. https://doi.org/10.1016/j.ipm.2017.10.006
DOLNICAR, S., GRÜN, B. y LEISCH F (2018): Market segmentation analysis: understanding it, doing it, and making it useful. New York, Springer.
DOLNICAR, S. (2020): Market segmentation for e-tourism. Handbook of e-tourism. pp. 1-15.
DOS SANTOS JÚNIOR, A., MENDES FILHO, L., ALMEIDA GARCÍA, F. y SIMOES, J.M.M. (2017): «Smart tourism destinations: A study based on the view of the stakeholders», Revista Turismo en Análise, vol. 28 (3), pp. 358-379. https://doi.org/10.3390/su12208445
DUFFY, R. (2014): «Interactive elephants: Nature, tourism and neoliberalism», Annals of Tourism Research, vol 44, pp. 88-101. https://doi.org/10.1016/j.annals.2013.09.003
ERRICHIELLO, L. y MICERA, R. (2021): «A process-based perspective of smart tourism destination governance», European Journal of Tourism Research, vol. 29, pp. 2909-2909. https://doi.org/10.1108/978-1-80071-511-020211025
ERL, T., COPE, R. y NASERPOUR, A. (2015): Cloud computing design patterns. Prentice Hall Press.
FAJARDO, V.C. (2020): «Turismo dark: la muerte como nuevo negocio turístico en España», Revista Internacional de Turismo, Empresa y Territorio. Riturem, vol. 4 (2), pp. 1-35. https://doi.org/10.21071/riturem.v4i2.12865
FONT, X., TORRES-DELGADO, A., CRABOLU, G., PALOMO MARTINEZ, J., KANTENBACHER, J. y MILLER, G. (2023): «The impact of sustainable tourism indicators on destination competitiveness: The European Tourism Indicator System», Journal of Sustainable Tourism, vol 31(7), pp. 1.608-1.630. https://doi.org/10.1080/09669582.2021.1910281
FOSSO WAMBA, S., AKTER, S., EDWARDS, A., CHOPIN, G. y GNANZOU, D. (2015): «How big data can make big impact: findings from a systematic review and a longitudinal case study», International Journal of Production Economics, vol. 165, pp. 234-246. https://doi.org/10.1016/j.ijpe.2014.12.031
GARCÍA-MADURGA, M.A., GRILLÓ-MÉNDEZ, A.J. y ESTEBAN-NAVARRO, M.A. (2020): «Territorial intelligence, a collective challenge for sustainable development: A scoping review», Social Sciences, vol. 9 (7), p. 126. https://doi.org/10.3390/socsci9070126
GIFFINGER, R., FERTNER, C., KRAMAR, H., y MEIJERS, E. (2007): «City-ranking of European medium-sized cities. Cent», Reg. Sci. Vienna UT, pp. 1-12.
GOOGLE. (2014): «The 2014 Traveler’s Road to Decision», Retrieved from Google:
https://www.thinkwithgoogle.com/consumer-insights/consumer-trends/2014-travelers-road-to-decision/
GRETZEL, U. (2022): «The Smart DMO: A new step in the digital transformation of destination management organizations», European Journal of Tourism Research, vol. 30, pp. 3.002-3002. https://doi.org/10.54055/ejtr.v30i.2589
GUNTER, U. y ÖNDER, I. (2016): «Forecasting city arrivals with Google Analytics», Annals of Tourism Research, vol 61, pp. 199-212. https://doi.org/10.1016/j.annals.2016.10.007
HAMID, R.A., ALBAHRI, A.S., ALWAN, J.K., AL-QAYSI, Z.T., ALBAHRI, O.S., ZAIDAN, A. A., ALNOOR, A., ALAMOODI, A.H. y ZAIDAN, B.B. (2021): «How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management», Computer Science Review, vol. 39, pp. 100337. https://doi.org/10.1016/j.cosrev.2020.100337
HEIN, A., ENGERT, M., RYU, S., SCHAFFER, N., HERMES, S. y KRCMAR, H. (2023): «Building open government data platform ecosystems: A dynamic development approach that engages users from the start. Government Information Quarterly», Government Information Quarterly, vol. 40 (4), pp. 101878. https://doi.org/10.1016/j.giq.2023.101878
HERNANDIS, M. (2022, 10 junio): «Reyes Maroto sitúa el Centro de Inteligencia Turística de Benidorm para 2023», El Español. https://www.elespanol.com/alicante/economia/turismo/20220610/reyes-maroto-situa-centro-inteligencia-turistica-benidorm/679182470_0.html
HONG, Q.N., PLUYE, P., FÀBREGUES, S., BARTLETT, G., BOARDMAN, F., CARGO, M., DAGENAIS, P., GAGNON, M.-P-, GRIFFITHS, F., NICOLAU, B., O’CATHAIN, A., ROUSSEAU, M.-C., VEDEL, I. y PLUYE, P. (2018): «Mixed methods appraisal tool (MMAT) version 2018 for information professionals and researchers», Education for Information, vol. 34 (4), pp. 258-291. https://doi.org/10.3233/EFI-180221
HU, M., LI, H., SONG, H., LI, X. y LAW, R. (2022): «Tourism demand forecasting using tourist generated online review data», Tourism Management, vol. 90, Article 1044 https://doi.org/10.1016/j.tourman.2022.104490
INVAT·TUR. (diciembre, 2023): «Reglamento Red DTI-CV», consultado: 17/12/21, disponible en: Reglamento Red DTI-CV (invattur.es)
INVAT·TUR. (diciembre, 2023): «Ventana de oportunidad», consultado: 17/12/23, disponible en: https://invattur.es/ventana-de-oportunidad-en.marketing.html
IVARS-BAIDAL, J.A, CASADO-DÍAZ, A.B., NAVARRO-RUIZ, S. y FUSTER-UGUET, M. (2024): «Smart tourism city governance: exploring the impact on stakeholder networks», International Journal of Contemporary Hospitality Management, vol. 36 (2), pp. 582-601. https://doi.org/10.1108/IJCHM-03-2022-0322
IVARS, J.A., MONZONÍS, F.J.S. y SÁNCHEZ, D.G. (2016): «Gestión turística y tecnologías de la información y la comunicación (TIC): El nuevo enfoque de los destinos inteligentes», Documents d’Anàlisi Geogràfica, vol. 62 (2), pp. 327-346. https://doi.org/10.5565/rev/dag.285
IVARS, J.A., CELDRAN-BERNABEU, M.A., MAZON, J.N. y PERLES-IVARS, A.F. (2017): «Smart destinations and the evolution of ICTs: a new scenario for destination management? », Current Issues in Tourism, vol. 22 (13), pp. 1.581-1.600. https://doi.org/10.1080/13683500.2017.1388771
IVARS, J.A., CELDRÁN-BERNABÉU, M.A., FEMENIA-SERRA, F., PERLES-RIBES, J.F. y GINER-SÁNCHEZ, D. (2021): «Measuring the progress of smart destinations: The use of indicators as a management tool», Journal of Destination Marketing & Management, vol. 19. https://doi.org/10.1016/j.jdmm.2020.100531
KHAN, M.A., UDDIN, M.F. y GUPTA, N. (2014): «Seven V’s of big data understanding big data to extract value», Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) https://doi.org/10.1109/ASEEZone1.2014.6820689
KÖSEOGLU, M.A., CHAN, E.S., OKUMUS, F. y ALTIN, M. (2019): «How do hotels operationalize their competitive intelligence efforts into their management processes? Proposing a holistic model», International Journal of Hospitality Management, vol. 83, pp. 283-292. https://doi.org/10.1016/j.ijhm.2018.11.007
KÖSEOGLU, M.A., MORVILLO, A., ALTIN, M., DE MARTINO, M. y OKUMUS, F. (2020): «Competitive intelligence in hospitality and tourism: A perspective article», Tourism Review, vol. 75, pp. 239-242 https://doi.org/10.1108/TR-06-2019-0224
KÖSEOGLU, M.A., ROSS, G. y OKUMUS, F. (2016): «Competitive intelligence practices in hotels», International Journal of Hospitality Management, vol. 53, pp. 161-172. https://doi.org/10.1016/j.ijhm.2015.11.002
LACARCEL, F.J. y HUETE, R. (2023): «Digital communication strategies used by private companies, entrepreneurs, and public entities to attract long-stay tourists: a review», International Entrepreneurship Management Journal, vol. 19, pp. 691-708. https://doi.org/10.1007/s11365-023-00843-8
LI, H., HU, M. y LI, G. (2020): «Forecasting tourism demand with multisource big data», Annals of Tourism Research, vol. 83, pp. 102912. https://doi.org/10.1016/j.annals.2020.102912
LI, J., XU, L., TANG, L., WANG, S. y LI, L. (2018): «Big data in tourism research: A literature review», Tourism Management, vol. 68, pp. 301-323. https://doi.org/10.1016/j.tourman.2018.03.009
LI, X. y LAW, R. (2020): «Network analysis of big data research in tourism», Tourism Management Perspectives, vol. 33, article 100608. https://doi.org/10.1016/j.tmp.2019.100608
LI, X., MA, S. y WU, M. (2023): «What makes social media branding more effective in shaping pre-visit image: Information quality or source credibility?», Tourism Management Perspectives, vol. 46, 101084. https://doi.org/10.1016/j.tmp.2023.101084
LI, M., ZHANG, C., SUN, S. y WANG, S. (2023): «A novel deep learning approach for tourism volume forecasting with tourist search data», International Journal of Tourism Research, vol. 25 (2), pp. 183-197. https://doi.org/10.1002/jtr.2558
LINE, N.D., DOGRU, T., EL-MANSTRLY, D., BUOYE, A., MALTHOUSE, E. y KANDAMPULLY, J. (2020): «Control, use and ownership of big data: A reciprocal view of customer big data value in the hospitality and tourism industry», Tourism Management, vol. 80, 104106. https://doi.org/10.1016/j.tourman.2020.104106
LÓPEZ DE ÁVILA, A. y GARCÍA SÁNCHEZ, S. (2013): «Destinos turísticos inteligentes», Harvard Deusto Business Review, vol. 224, pp. 58-67. https://doi.org/0422-2784
MALTHOUSE, E.C., BUOYE, A., LINE, N., EL-MANSTRLY, D., DOGRU, T. y KANDAMPULLY, J. (2019): «Beyond reciprocal: the role of platforms in diffusing data value across multiple stakeholders», Journal of Service Management, vol. 30 (4), pp. 507-518. https://doi.org/10.1108/JOSM-12-2018-0381
MARIANI, M. y BORGHI, M. (2021): «Environmental discourse in hotel online reviews: A big data analysis», Journal of Sustainable Tourism, vol. 29, pp. 829-848. https://doi.org/10.1080/09669582.2020.1858303
MARIANI, M., DI FATTA, G. y DI FELICE, M. (2018): «Understanding customer satisfaction with services by leveraging big data: the role of services attributes and consumers’ cultural background», IEEE Access, vol. 7, pp. 8.195-8.208. https://doi.org/10.1109/ACCESS.2018.2887300
MARIANI, M., BAGGIO, R., FUCHS, M. y HÖEPKEN, W. (2018): «Business intelligence and big data in hospitality and tourism: A systematic literature review», International Journal of Contemporary Hospitality Management, vol. 30, pp. 3.514-3.554. https://doi.org/10.1108/IJCHM-07-2017-0461
MARIANI, M. y BAGGIO, R. (2021): «Big data and analytics in hospitality and tourism: a systematic literature review», International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/IJCHM-07-2017-0461
MARTINA NANNELLI, F.C. y LAZZERETTI, L. (2023): «Artificial intelligence in hospitality and tourism», State of the art and future research avenues, European Planning Studies, vol. 31 (7), pp. 1.325-1.344, https://doi.org/10.1080/09654313.2023.2180321
MERTON R.K., FISKE M. y KENDALL P. (1956): The Focused Interview: A Manual of Problems & Procedures. Glencoe, IL. Free Press.
MOLINA-AZORIN, J.F., FÀBREGUES, S. y ESCALANTE-BARRIOS, E.L. (2024): Métodos mixtos de investigación: Integrando métodos cuantitativos y cualitativos. Madrid, Ediciones Pirámide.
MORENO, L. y PEDREÑO, A. (2020): Europa frente a EE. UU. Y China. Prevenir el declive en la era de la inteligencia artificial. Autoeditado en Amazon.
NAVARRETE, J.G.N. (2004): «El futuro de la administración y de la Inteligencia Turística en España», Estudios Turísticos, vol. 163-164, pp. 141-149. https://doi.org/10.61520/et.163-1642005.947
NIININEN, O., MARCH, R. y BUHALIS, D. (2006): «Consumer centric tourism marketing, en BUHALIS, D y COSTA, C. (Eds.), Tourism management dynamics: Trends, management and tools, London, Buttterworth Heinemann, pp. 175-186.
NUÑEZ TORRES, E., VELÁZQUEZ ZALDÍVAR, R. y PÉREZ RIVES, L. (2022): «Valoración de la Inteligencia Turística en la gestión de destinos turísticos cubanos», Explorador Digital, vol. 6 (3), pp. 134-148. https://doi.org/10.33262/exploradordigital.v6i3.2218
OLABUÉNAGA, J.I.R., y ISPIZUA, M.A. (1989): «La descodificación de la vida cotidiana: métodos de investigación cualitativa», Bilbao, Universidad de Deusto.
ORDÓÑEZ-MARTÍNEZ, D., SEGUÍ-PONS, J.M. y RUIZ-PÉREZ, M. (2024): «Marco conceptual y análisis prospectivo de los espacios de datos turísticos de la UE», Sostenibilidad, vol. 16, n.º 1: 371. https://doi.org/10.3390/su16010371
OSEI, B.A., RAGAVAN, N.A. y MENSAH, H.K. (2020): «Prospects of the fourth industrial revolution for the hospitality industry: a literature review», Journal of Hospitality and Tourism Technology, vol. 11(3), pp. 479-494. https://doi.org/10.1108/JHTT-08-2019-0107
PAN, B. y YANG, Y. (2017): «Forecasting destination weekly hotel occupancy with big data», Journal of Travel Research, vol. 56, pp. 957-970. https://doi.org/10.1177/0047287516669050
PARK, S. (2021): «Big data in smart tourism: A perspective article», Journal of Smart Tourism, vol. 1 (3), pp. 798 3-5. https://doi.org/10.52255/smarttourism.2021.1.3.2
PARK, S., XU, Y., JIANG, L., CHEN, Z. y HUANG, S. (2020): «Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data», Annals of Tourism Research, vol. 84, article 102973. https://doi.org/10.1016/j.annals.2020.102973
PARK, S., YUAN, Y. y CHOE, Y. (2021): «Application of graph theory to mining the similarity of travel trajectories», Tourism Management, vol. 87, article 104391. https://doi.org/10.1016/j.tourman.2021.104391
PORTER, M.E. (1985): «Technology and competitive advantage», Journal of Business Strategy, vol. 5 (3), pp. 60-78. https://doi.org/10.1108/eb039075
RANJAN, J. y FOROPON, C. (2021): «Big data analytics in building the competitive intelligence of organizations», International Journal of Information Management, vol. 56, article 102231. https://doi.org/10.1016/j.ijinfomgt.2020.102231
SAMARA, D., MAGNISALIS, I. y PERISTERAS, V. (2020): «Artificial intelligence and big data in tourism: a systematic literature review», Journal of Hospitality and Tourism Technology, vol. 11 (2), pp. 343-367. https://doi.org/10.1108/JHTT-12-2018-0118
SCAGLIONE, M. y BAGGIO, R. (2017): «Visitor Flows: A Network Analytic Approach», AIRTH 2017–Innovation in Tourism and Hospitality–Preparing for the Future, vol. 6. https://doi.org/10.1007/s40558-017-0096-1
SHAFIEE, S., JAHANYAN, S., GHATARI, A.R. y HASANZADEH, A. (2023): «Developing sustainable tourism destinations through smart technologies: A system dynamics approach», Journal of Simulation, vol. 17 (4), pp. 477-498. https://doi.org/10.1080/17477778.2022.2030656
SHIH, M-J., LIU, D-R. y HSU, M-L. (2010): «Discovering competitive intelligence by mining changes in patent trends», Expert Systems with Applications, vol. 37, pp. 2.882-2.890. https://doi.org/10.1016/j.eswa.2009.09.001
SONG, S., PARK, S.B. y PARK, K. (2021): «Social media marketing strategies for tourism destinations: Effects of linguistic features and content types», Journal of Smart Tourism, vol. 1 (3), pp. 21-29. https://doi.org/10.1016/j.jairtraman.2017.09.014
SHOKOOHYAR, S., SOBHANI, A. y SOBHANI, A. (2020): «Determinants of rental strategy: short-term vs long-term rental strategy», International Journal of Contemporary Hospitality Management, vol. 32 (12), pp. 3.873-3.894. https://doi.org/10.1108/IJCHM-03-2020-0185
TARDIEU, H. (2022): «Papel de Gaia-X en el ecosistema espacial europeo de datos», en Diseño de espacios de datos, Springer, pp. 41-59. https://doi.org/10.1007/978-3-030-93975-5_4
TEAM, I.G.P. (2020): EU general data protection regulation (gdpr)–an implementation and compliance guide. IT Governance Ltd.
TUO, Y., NING, L. y ZHU, A. (2021): «How Artificial Intelligence Will Change the Future of Tourism Industry: The Practice in China», en WÖRNDL, W., KOO, C. y STIENMETZ, J.L. (Eds.) Information and Communication Technologies in Tourism 2021, Springer. https://doi.org/10.1007/978-3-030-65785-7_7
TUSSYADIAH, I.P. y ZACH, F. (2017): «Identifying salient attributes of peer-to-peer accommodation experience», Journal of Travel and Tourism Marketing, vol. 34, pp. 636-652. https://doi.org/10.1080/10548408.2016.1209153
UNWTO (2010): International Recommendations for Tourism Statistics 2008. United Nations, Department of Economic and Social Affairs, Statistical Division Staff New York, NY, USA.
VALLES, M. (2005): «El reto de la calidad en la investigación social cualitativa: de la retórica a los planteamientos de fondo y las propuestas técnicas», Revista Española de Investigaciones Sociológicas, vol. 110 (1), pp. 91-11. https://doi.org/10.2307/40184684
VOLO, S. (2020): «Tourism statistics, indicators and big data: a perspective article», Tourism Review, vol. 75 (1), pp. 304-309. https://doi.org/10.1108/TR-06-2019-0262
WU, J., CAI, J., LUO, X.R. y BENITEZ, J. (2021): «How to increase customer repeated bookings in the short-term room rental market? A large-scale granular data investigation», Decision Support Systems, vol. 143, 113495. https://doi.org/10.1016/j.dss.2021.113495
XIANG, Z. (2018): «From digitization to the age of acceleration: On information technology and tourism», Tourism Management Perspectives, vol. 25, pp. 147-150. https://doi.org/10.1016/j.tmp.2017.11.023
XU, Y., LI, J., BELYI, A. y PARK, S. (2021): «Characterizing destination networks through mobility traces of international tourists — A case study using a nationwide mobile positioning dataset», Tourism Management, vol. 82, article 104195. https://doi.org/10.1016/j.tourman.2020.104195
XIANG, Z. y FESENMAIER, D.R. (2017): «Big data analytics, tourism design and smart tourism», en Analytics in smart tourism design: concepts and methods, pp. 299-307. https://doi.org/10.1007/978-3-319-44263-1_17
XIE, G., QIAN, Y. y WANG, S. (2021): «Forecasting Chinese cruise tourism demand with big data: an optimized machine learning approach», Tourism Management, vol. 82, 104208. https://doi.org/10.1016/j.tourman.2020.104208
YUS, S. (2022, 20 junio): «El CNI del turismo español está en Benidorm y ya sabe lo que vas a hacer este verano», elconfidencial.com. https://www.elconfidencial.com/espana/comunidad-valenciana/2022-06-20/tecnologia-digitalizacion-turismo-benidorm_3444047
ZVAIGZNE, A., MIETULE, I., KOTANE, I., VONOGA, A. y MEISTE, R. (2023): «Smart tourism: the role and synergies of stakeholders», Worldwide Hospitality and Tourism Themes, vol. 15 (5), pp. 476-485. https://doi.org/10.1108/WHATT-06-2023-0079
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.