IDEAS home Printed from https://ideas.repec.org/a/eee/touman/v60y2017icp430-438.html
   My bibliography  Save this article

‘You will like it!’ using open data to predict tourists' response to a tourist attraction

Author

Listed:
  • Pantano, Eleonora
  • Priporas, Constantinos-Vasilios
  • Stylos, Nikolaos

Abstract

The increasing amount of user-generated content spread via social networking services such as reviews, comments, and past experiences, has made a great deal of information available. Tourists can access this information to support their decision making process. This information is freely accessible online and generates so-called “open data”. While many studies have investigated the effect of online reviews on tourists' decisions, none have directly investigated the extent to which open data analyses might predict tourists' response to a certain destination. To this end, our study contributes to the process of predicting tourists' future preferences via MathematicaTM, software that analyzes a large set of the open data (i.e. tourists’ reviews) that is freely available on tripadvisor. This is devised by generating the classification function and the best model for predicting the destination tourists would potentially select. The implications for the tourist industry are discussed in terms of research and practice.

Suggested Citation

  • Pantano, Eleonora & Priporas, Constantinos-Vasilios & Stylos, Nikolaos, 2017. "‘You will like it!’ using open data to predict tourists' response to a tourist attraction," Tourism Management, Elsevier, vol. 60(C), pages 430-438.
    • Handle: RePEc:eee:touman:v:60:y:2017:i:c:p:430-438
    DOI: 10.1016/j.tourman.2016.12.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0261517716302680
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.tourman.2016.12.020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Marcello M. Mariani & Rodolfo Baggio & Dimitrios Buhalis & Christian Longhi, 2014. "Tourism management, marketing and development: the importance of networks and ICTs," Post-Print halshs-00924725, HAL.
    2. Marco Rossetti & Fabio Stella & Markus Zanker, 2016. "Analyzing user reviews in tourism with topic models," Information Technology & Tourism, Springer, vol. 16(1), pages 5-21, March.
    3. Baka, Vasiliki, 2016. "The becoming of user-generated reviews: Looking at the past to understand the future of managing reputation in the travel sector," Tourism Management, Elsevier, vol. 53(C), pages 148-162.
    4. Fang, Bin & Ye, Qiang & Kucukusta, Deniz & Law, Rob, 2016. "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Elsevier, vol. 52(C), pages 498-506.
    5. Archer, Kellie J. & Kimes, Ryan V., 2008. "Empirical characterization of random forest variable importance measures," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2249-2260, January.
    6. Efraim Turban & David King & Jae Kyu Lee & Ting-Peng Liang & Deborrah C. Turban, 2015. "Marketing and Advertising in E-Commerce," Springer Texts in Business and Economics, in: Electronic Commerce, edition 0, chapter 9, pages 403-456, Springer.
    7. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    8. Dimitrios Buhalis & Aditya Amaranggana, 2013. "Smart Tourism Destinations," Springer Books, in: Zheng Xiang & Iis Tussyadiah (ed.), Information and Communication Technologies in Tourism 2014, edition 127, pages 553-564, Springer.
    9. Zhang, Ziqiong & Zhang, Zili & Yang, Yang, 2016. "The power of expert identity: How website-recognized expert reviews influence travelers' online rating behavior," Tourism Management, Elsevier, vol. 55(C), pages 15-24.
    10. Christian Longhi & Jean-Bernard Titz & Lucas Viallis, 2014. "Open data: Challenges and opportunities for the tourism industry," Post-Print halshs-00924731, HAL.
    11. Marcello M. Mariani & Rodolfo Baggio & Dimitrios Buhalis & Christian Longhi (ed.), 2014. "Tourism Management, Marketing, and Development," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-35435-8, December.
    12. Coussement, Kristof & De Bock, Koen W., 2013. "Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning," Journal of Business Research, Elsevier, vol. 66(9), pages 1629-1636.
    13. Li, Gang & Law, Rob & Vu, Huy Quan & Rong, Jia & Zhao, Xinyuan (Roy), 2015. "Identifying emerging hotel preferences using Emerging Pattern Mining technique," Tourism Management, Elsevier, vol. 46(C), pages 311-321.
    14. Efraim Turban & David King & Jae Kyu Lee & Ting-Peng Liang & Deborrah C. Turban, 2015. "Social Commerce: Foundations, Social Marketing, and Advertising," Springer Texts in Business and Economics, in: Electronic Commerce, edition 0, chapter 7, pages 309-364, Springer.
    15. Ayeh, Julian K. & Au, Norman & Law, Rob, 2013. "Predicting the intention to use consumer-generated media for travel planning," Tourism Management, Elsevier, vol. 35(C), pages 132-143.
    16. Filieri, Raffaele & Alguezaui, Salma & McLeay, Fraser, 2015. "Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth," Tourism Management, Elsevier, vol. 51(C), pages 174-185.
    17. Christian Longhi & Jean-Bernard Titz & Lucas Viallis, 2014. "Open Data: Challenges and Opportunities for the Tourism Industry," Palgrave Macmillan Books, in: Marcello M. Mariani & Rodolfo Baggio & Dimitrios Buhalis & Christian Longhi (ed.), Tourism Management, Marketing, and Development, chapter 0, pages 57-76, Palgrave Macmillan.
    18. Hendrik Hielkema & Patrizia Hongisto, 2013. "Developing the Helsinki Smart City: The Role of Competitions for Open Data Applications," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 4(2), pages 190-204, June.
    19. Marcello M. Mariani & Dimitrios Buhalis & Christian Longhi & Ourania Vitouladiti, 2014. "Managing change in tourism destinations : key issues and current trends," Post-Print halshs-00924447, HAL.
    20. Sparks, Beverley A. & Perkins, Helen E. & Buckley, Ralf, 2013. "Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior," Tourism Management, Elsevier, vol. 39(C), pages 1-9.
    21. Xiang, Zheng & Magnini, Vincent P. & Fesenmaier, Daniel R., 2015. "Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 244-249.
    22. Phillips, Paul & Zigan, Krystin & Santos Silva, Maria Manuela & Schegg, Roland, 2015. "The interactive effects of online reviews on the determinants of Swiss hotel performance: A neural network analysis," Tourism Management, Elsevier, vol. 50(C), pages 130-141.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ben Haobin Ye & Huiyue Ye & Rob Law, 2020. "Systematic Review of Smart Tourism Research," Sustainability, MDPI, vol. 12(8), pages 1-15, April.
    2. Yuejiao Wang & Shiwei Shen & Marios Sotiriadis & Li Zhang, 2020. "Suggesting a Framework for Performance Evaluation of Tourist Attractions: A Balance Score Approach," Sustainability, MDPI, vol. 12(15), pages 1-22, August.
    3. Tarmo Kalvet & Maarja Olesk & Marek Tiits & Janika Raun, 2020. "Innovative Tools for Tourism and Cultural Tourism Impact Assessment," Sustainability, MDPI, vol. 12(18), pages 1-30, September.
    4. Giglio, Simona & Pantano, Eleonora & Bilotta, Eleonora & Melewar, T.C., 2020. "Branding luxury hotels: Evidence from the analysis of consumers’ “big” visual data on TripAdvisor," Journal of Business Research, Elsevier, vol. 119(C), pages 495-501.
    5. Josef Zelenka & Tracy Azubuike & Martina Pásková, 2021. "Trust Model for Online Reviews of Tourism Services and Evaluation of Destinations," Administrative Sciences, MDPI, vol. 11(2), pages 1-21, March.
    6. Estela Marine-Roig, 2017. "Measuring Destination Image through Travel Reviews in Search Engines," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    7. Qian Yao & Yong Shi & Hai Li & Jiahong Wen & Jianchao Xi & Qingwei Wang, 2020. "Understanding the Tourists’ Spatio-Temporal Behavior Using Open GPS Trajectory Data: A Case Study of Yuanmingyuan Park (Beijing, China)," Sustainability, MDPI, vol. 13(1), pages 1-13, December.
    8. A Fronzetti Colladon & B Guardabascio & R Innarella, 2021. "Using social network and semantic analysis to analyze online travel forums and forecast tourism demand," Papers 2105.07727, arXiv.org.
    9. Hernández, Juan M. & Kirilenko, Andrei P. & Stepchenkova, Svetlana, 2018. "Network approach to tourist segmentation via user generated content," Annals of Tourism Research, Elsevier, vol. 73(C), pages 35-47.
    10. Giuseppe Giordano & Ilaria Primerano & Pierluigi Vitale, 2021. "A Network-Based Indicator of Travelers Performativity on Instagram," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 631-649, August.
    11. Chi Yunxian & Li Renjie & Zhao Shuliang & Guo Fenghua, 2020. "Measuring multi-spatiotemporal scale tourist destination popularity based on text granular computing," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-33, April.
    12. Richard Fedorko, 2021. "Gender Differences in the Perception of Selected Aspectsof Social Media as Part of Ecommerce Activities during a Pandemic," GATR Journals jmmr286, Global Academy of Training and Research (GATR) Enterprise.
    13. Michela Fazzolari & Marinella Petrocchi, 2018. "A study on online travel reviews through intelligent data analysis," Information Technology & Tourism, Springer, vol. 20(1), pages 37-58, December.
    14. Marie Al-Ghossein & Talel Abdessalem & Anthony Barré, 2018. "Open data in the hotel industry: leveraging forthcoming events for hotel recommendation," Information Technology & Tourism, Springer, vol. 20(1), pages 191-216, December.
    15. Boley, B. Bynum & Jordan, Evan J. & Kline, Carol & Knollenberg, Whitney, 2018. "Social return and intent to travel," Tourism Management, Elsevier, vol. 64(C), pages 119-128.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zajadacz Alina & Minkwitz Aleksandra, 2020. "Using Social Media Data to Plan for Tourism," Quaestiones Geographicae, Sciendo, vol. 39(3), pages 125-138, September.
    2. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type," Post-Print halshs-01923243, HAL.
    3. Marie Al-Ghossein & Talel Abdessalem & Anthony Barré, 2018. "Open data in the hotel industry: leveraging forthcoming events for hotel recommendation," Information Technology & Tourism, Springer, vol. 20(1), pages 191-216, December.
    4. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type," Grenoble Ecole de Management (Post-Print) halshs-01923243, HAL.
    5. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
    6. Sunyoung Hlee & Hanna Lee & Chulmo Koo, 2018. "Hospitality and Tourism Online Review Research: A Systematic Analysis and Heuristic-Systematic Model," Sustainability, MDPI, vol. 10(4), pages 1-27, April.
    7. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    8. Mariani, Marcello M. & Di Felice, Marco & Mura, Matteo, 2016. "Facebook as a destination marketing tool: Evidence from Italian regional Destination Management Organizations," Tourism Management, Elsevier, vol. 54(C), pages 321-343.
    9. Wu, Laurie & Shen, Han & Fan, Alei & Mattila, Anna S., 2017. "The impact of language style on consumers′ reactions to online reviews," Tourism Management, Elsevier, vol. 59(C), pages 590-596.
    10. Book, Laura A. & Tanford, Sarah & Chang, Wen, 2018. "Customer reviews are not always informative: The impact of effortful versus heuristic processing," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 272-280.
    11. Mariani, Marcello M. & Giorgio, Luisa, 2017. "The “Pink Night” festival revisited: Meta-events and the role of destination partnerships in staging event tourism," Annals of Tourism Research, Elsevier, vol. 62(C), pages 89-109.
    12. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics," Post-Print halshs-01923196, HAL.
    13. Marcello Mariani, 2020. "Web 2.0 and Destination Marketing: Current Trends and Future Directions," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    14. Taekyung Kim & Hwirim Jo & Yerin Yhee & Chulmo Koo, 2022. "Robots, artificial intelligence, and service automation (RAISA) in hospitality: sentiment analysis of YouTube streaming data," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 259-275, March.
    15. Xu, Xun & Lee, Chieh, 2020. "Utilizing the platform economy effect through EWOM: Does the platform matter?," International Journal of Production Economics, Elsevier, vol. 227(C).
    16. Vinaitheerthan Renganathan & Amitabh Upadhya, 2021. "Dubai Restaurants: A Sentiment Analysis of Tourist Reviews," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 14(2), pages 165-174.
    17. Onofrei, George & Filieri, Raffaele & Kennedy, Lorraine, 2022. "Social media interactions, purchase intention, and behavioural engagement: The mediating role of source and content factors," Journal of Business Research, Elsevier, vol. 142(C), pages 100-112.
    18. Inmaculada Rabadán-Martín & Francisco Aguado-Correa & Nuria Padilla-Garrido, 2019. "Facing new challenges in rural tourism: signaling quality via website," Information Technology & Tourism, Springer, vol. 21(4), pages 559-576, December.
    19. Babajide Abubakr Muritala & Maria-Victoria Sánchez-Rebull & Ana-Beatriz Hernández-Lara, 2020. "A Bibliometric Analysis of Online Reviews Research in Tourism and Hospitality," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    20. Su-min Yu & Zhi-jiao Du & Xu-dong Lin & Han-yang Luo & Jian-qiang Wang, 2020. "A Stochastic Dominance-Based Approach for Hotel Selection under Probabilistic Linguistic Environment," Mathematics, MDPI, vol. 8(9), pages 1-25, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:touman:v:60:y:2017:i:c:p:430-438. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/tourism-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.