Analysis of Digital Tourist's Purchasing Decision Process Based on Feedback and Opinions
DOI:
https://doi.org/10.31181/dmame712024951Keywords:
Digital tourism, eWoM, V4 tourism, DTC, ICTAbstract
Today, tourism and digitalisation are very much intertwined. The phenomenon of tourism in the digital space - digital tourism - emerged with the birth of the internet and has grown in intensity over the years. The evolution of digitalisation has brought about a paradigm shift that has not only led consumers to adopt information and communication technologies, but has also greatly transformed consumer behaviour, preferences and motivations. Indeed, the development of technology has disrupted the traditional booking trends of tourists, their attitudes towards tourism and the social groups of tourists by providing dynamic online communication channels. Digital tourism users - digital tourists - are increasingly aware of the information and communication technologies, services and tools available to them, and are able to shape the market offer tailored to their needs through their actions and the data they provide. One of the most effective means of doing this is to share feedback and opinions online. In our research, I provide secondary information to support the importance of feedback and opinions, clarify its role in digital tourism, and then investigate the phenomenon of electronic-world-of-mouth through a questionnaire survey and decision tree analysis, and highlight the insights and implications of eWOM for digital tourists' behaviour in the online space based on opinions.
Downloads
References
Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism management, 32(6), 1310-1323. https://doi.org/10.1016/j.tourman.2010.12.011
Baloglu, S.E. (2014). The role of online customer reviews in destination choice. Journal of Travel Research, 53(4), 431-449. https://doi.org/10.1108/GKMC-04-2023-0145
Gajzágó, G., Remsei, S., & Kurucz, A. (2018). Mobility, Transport and Logistics in Modern Cities Program in Hungary. University of Maribor Press, 85-103. https://doi.org/10.18690/978-961-286-213-8.7
Bhatt, S., & Dani, R. (2022). Social Media: Marketing Strategies in Hospitality Industry. Research in Tourism and Hospitality Management, 61–67. https://doi.org/10.21467/books.134.8
Beekman, G. (2003). Computer Confluence: Exploring tomorrow’s Technology. New Yersey: Practice Hall. https://doi.org/10.1080/15228053.2005.10856066
Buhalis, D., & Inversini, A. (2014). Tourism branding, identity, reputation co-creation, and word-of-mouth in the age of social media. In M. M. Mariani, R. Baggio, D. Buhalis, & C. Longhi, Tourism management, marketing, and development (pp. 15-40). New York: Palgrave Macmillan. https://doi.org/10.1057/9781137354358.0005
Priatmoko, S., Kabil, M., Vasa, L., Pallás, E. I., & Dávid, L. D. (2021). Reviving an Unpopular Tourism Destination through the Placemaking Approach: Case Study of Ngawen Temple, Indonesia. Sustainability, 13(12), 6704. MDPI AG. http://dx.doi.org/10.3390/su13126704
Happ, E., & Ivancsóné Horváth, Z. (2020). A study of digital marketing tools usage habits among hungarian tourists. GeoJournal of Tourism and Geosites, 32(4), 1283–1289. https://doi.org/10.30892/gtg.32414-570
Tóth, G., Dávid, L. D., & Vasa, L. (2014). The role of transport in European tourism flows. Acta Geographica Slovenica, 54(2), 311–320. https://doi.org/10.3986/AGS54205
Tóth, G., Dávid, L., & Vasa, L. (2013). Transportation and accessibility at European level. Regional Statistics: journal of the Hungarian Central Statistical Office, 3, 79-97. https://doi.org/10.15196/rs03105
Tovmasyan, G. (2023). Factors That Influence Domestic Tourism Demand: Evidence from Armenia. Economics & Sociology, 16(2), 11–25. Internet Archive. https://doi.org/10.14254/2071-789x.2023/16-2/5
Demirdağ, Ş. A., Korucuk, S., & Karamaşa, Ç. (2021). Evaluation of innovative management success criteria in hotel establishments: Case study in Giresun-Turkey. Decision Making: Applications in Management and Engineering, 4(2), 26–46. https://doi.org/10.31181/dmame210402026d
Buhalis, D., & O'Connor, P. (2005). Information communication technology revolutionizing tourism. Tourism recreation research, 30(3), 7-16. https://doi.org/10.1016/b978-0-7506-6378-6.50031-7
Darabos, F., Kőmíves, C., & Molnar, E. I. (2022). Examination of holiday habits in Hungary, with special regard to rural tourism. GeoJournal of Tourism and Geosites, 44(4), 1403–1410. https://doi.org/10.30892/gtg.44427-959
Inversini, A., Brülhart, C., & Cantoni, L. (2011). MySwitzerland.com: analysis of online communication and promotion. Information Technology & Tourism, 13(1), 39-49. https://doi.org/10.3727/109830511x13167968595741
Buhalis, D., & Inversini, A. (2014). Tourism branding, identity, reputation co-creation, and word-of-mouth in the age of social media. In M. M. Mariani, R. Baggio, D. Buhalis, & C. Longhi, Tourism management, marketing, and development (pp. 15-40). New York: Palgrave Macmillan. https://doi.org/10.1057/9781137354358.0005
Jansson, A. (2018). Rethinking post-tourism in the age of social media. Annals of Tourism Research, 69, 101-110. https://doi.org/10.1016/j.annals.2018.01.005
Buhalis, D. (2020). Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article. Tourism Review, 75(1), 267-272. https://doi.org/10.1108/tr-06-2019-0258
Buhalis, D., & Licata, M. C. (2002). The future eTourism intermediaries. Tourism management, 23(3), 207-220. https://doi.org/10.1016/s0261-5177(01)00085-1
Inversini, A., & Buhalis, D. (2009). Information convergence in the long tail: The case of tourism destination information. In Information and Communication technologies in tourism 2009 (pp. 381-392). Springer, Vienna. https://doi.org/10.1007/978-3-211-93971-0_32
Ivancsóné Horváth, Z., Kupi, M., & Happ, E. (2023). The role of tourism management for sustainable tourism development in nature reserves in Hungary. GeoJournal of Tourism and Geosites, 49(3), 893–900. https://doi.org/10.30892/gtg.49306-1090
Nedelko, Z., & Korez-Vide, R. (2023). 7th FEB International Scientific Conference: strengthening resilience by sustainable economy and business-towards the SDGs. https://doi.org/10.18690/um.epf.3.2023.50
Waldhör, K. (2009). eTourism Case Studies: Management and Marketing. Issues in eTourism. Zeitschrift für Tourismuswissenschaft, 1(2), 213-215.. https://doi.org/10.1515/tw-2009-0216
Liu, H., Jayawardhena, C., Osburg, V. S., Yoganathan, V., & Cartwright, S. (2021). Social sharing of consumption emotion in electronic word of mouth (eWOM): A cross-media perspective. Journal of Business Research, 132, 208-220. https://doi.org/10.1016/j.jbusres.2021.04.030
Kwok, L., Xie, K. L., & Richards, T. (2017). Thematic framework of online review research: A systematic analysis of contemporary literature on seven major hospitality and tourism journals. International Journal of Contemporary Hospitality Management, 29(1), 307-354. https://doi.org/10.1108/IJCHM-11-2015-0664
Grotte, J. (2020). Az internet használat a magyarországi szabadidős utazások megszervezése során. https://doi.org/10.23715/SDA.2020.1.2.
Cieślik, E. (2021). Towards the industry 4.0: Have ICT services improved the position of Central and Eastern Europe in global production linkages?. Manufacturing Letters, 28, 11-16. https://doi.org/10.1016/j.mfglet.2021.02.001
Dredge, D., Phi, G. T. L., Mahadevan, R., Meehan, E., & Popescu, E. (2019). Digitalisation in Tourism: In-depth analysis of challenges and opportunities. Executive Agency for Small and Medium-sized Enterprises (EASME), European Commission. https://doi.org/10.1787/9789264276284-en
Kupi, M., & Kőmíves, C. (2023). GUESTS’SATISFACTION IN GYŐR-MOSON-SOPRON COUNTY, IN HUNGARY. GeoJournal of Tourism and Geosites, 50(4), 1253-1259. https://doi.org/10.30892/gtg.50405-1123
Lee, S., & Oh, H. J. (2011). Application of artificial neural network for mineral potential mapping. Artificial Neural Networks-Applications: Shanghai, In Tech, 67-104. https://doi.org/10.5772/16187
Aggarwal, C. C. (Ed.). (2014). Data Classification. Chapman and Hall/CRC. https://doi.org/10.1201/b17320
Windeatt, T., & Ardeshir, G. (2001). An empirical comparison of pruning methods for ensemble classifiers. In Advances in Intelligent Data Analysis: 4th International Conference, IDA 2001 Cascais, Portugal, September 13–15, 2001 Proceedings 4 (pp. 208-217). Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-44816-0_21
Statista. (2021, 07. 01.). Retrieved from Statista: https://www.statista.com/
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Decision Making: Applications in Management and Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.