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Information Convergence in the Long Tail: The Case of Tourism Destination Information

  • Conference paper
Information and Communication Technologies in Tourism 2009

Abstract

Tourism information on the Internet is spreading through a wide range of different websites. In addition to the official destination or attraction websites, many are unofficial websites such as blogs, wiki, social networks, which offer destination information. Hence official websites, being destination or attraction sites, are challenged by unofficial ones. Actually these two different types of websites often diffuse similar content in terms of topics and subjects but in different forms. This study explores the information market around a given tourism destination and investigates the characteristics and quality of the available websites. It underlines the importance of consumer generated content and its strategic role for the promotion. Finally, several ways of exploiting the official and unofficial contents are explored and the topic of the possible information convergence, thanks to folksonomies, is discussed.

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References

  • Alexander, JE., Tate MA. (1999). Web wisdom: how to evaluate and create information quality on the web. Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Anderson, C. (2006). The Long Tail: Why the Future of Business is Selling Less of More. Hyperion, NY.

    Google Scholar 

  • Baggio, R., Antonioli Corigliano, M., Tallinucci, V. (2007). The websites of a tourism destination: a network analysis. Information and Communication Technologies in Tourism. Ljubljana, Slovenia pp. 279–288

    Google Scholar 

  • Bolchini, D., Garzotto, F. (2008). Value-Driven Design for “Infosuasive” web applications. Proceedings of the ACMInternational World Wide Web Conference, Beijin, China.

    Google Scholar 

  • Buhalis, D (2003). eTourism: Information technology for strategic tourism management. Prentice Hall, Harlow.

    Google Scholar 

  • Buhalis, D., Law, R. (2008). Progress in tourism management: Twenty years on and 10 years after the internet: The state of eTourism research. Tourism Management, 29(4), pp. 609–623.

    Google Scholar 

  • Buhalis, D., Spada, A. (2000). Destination Management Systems: Criteria for success, Information Technology and Tourism, Vol. 3(1), pp. 41–58.

    Google Scholar 

  • Cantoni, L., Faré, M., Bolchini, D., Inversini, A., Giulieri, F. (2007). European Cities and Web Tourism Communication, An Indicators-based Pilot Study. Proceedings of the Travel Distribution Summit, Europe, Research Conference, Axon Imprint, London, pp. 45–54.

    Google Scholar 

  • Cantoni, L., Tardini, S. (2006). Internet. Routledge, London — New York.

    Google Scholar 

  • Cantoni, L., Ceriani, L. (2006). Fare comunicazione online. Analisi dell’attività di un sito internet attraverso i file di log, ComunicazioneItaliana, Roma.

    Google Scholar 

  • Choi, S., Lehto, XY., Oleary, JT. (2007). What does the consumer want from a DMO website? A study of US and Canadian tourists perspectives. International Journal of Tourism Research. 9, 59–72.

    Google Scholar 

  • Comescore. (2008). ComScore Releases December U.S. Search Engine Rankings, Retrieved March 2008, http://www.comscore.com/press/release.asp?press=2016

    Google Scholar 

  • eBusiness Watch 2006 Survey. (2006). Retrieved March 2008, http://www.ebusinesswatch. org/statistics/table_chart_reports.htm

    Google Scholar 

  • Fox, S. (2002). Search engines [website] The Pew Internet & American Life Project. Retrieved 15.10.2002 from the WorldWide Web: http://www.pewinternet.org/reports/toc.asp.

    Google Scholar 

  • Garrett, JJ. (2003). The elements of users experience, AIGAI, NY.

    Google Scholar 

  • Gretzel, U., Kyung, HY. (2008). Use and Impact of Online Travel Reviews, Information and Communication Technologies in Tourism 2008, Innsbruck, Springer Vienna.

    Google Scholar 

  • Gretzel, U., Yu-Lan, Y., Fesenmaier, D. (2000). Preparing for the New Economy: Advertising Strategies and Change in Destination Marketing Organizations, Journal of Travel Research, Vol. 39, No. 2, 146–156.

    Google Scholar 

  • Hotho, A., Jaschke, R., Schmitz, C. Stumme, G. (2006). Information retrieval in folksonomies: Search and ranking. In Proceedings of the 3rd European Semantic Web Conference, Lecture Notes in Computer Science. Springer.

    Google Scholar 

  • iProspect. (2006). Retrieved March 2008, http://www.iprospect.com/

    Google Scholar 

  • Jarvenpaa, SL., Todd, PA. (1997). Consumer reactions to electronic shopping on the World Wide Web. International Journal of Electronic Commerce 1 (2), pp. 59–88.

    Google Scholar 

  • Jones, Q., Gilad R., and Sheizaf R. (2004). Information Overload and the Message Dynamics of Online Interaction Spaces: A Theoretical Model and Empirical Exploration. Information Systems Research 15 (2), 194–209.

    Google Scholar 

  • Kahn, BK., and Stong, DM. (1998). Product and Service Performance Model for Information Quality: An Update. In Chengalursmith, I., Pipino, L.L. Proceedings of the 1998 Conference on Information Quality, Cambridge, MA: Massachusetts Institute of Technology.

    Google Scholar 

  • Kamel Boulos, MN., Wheeler, S. (2007). The emerging Web 2.0 social software: an enabling suite of sociable technologies in health and health care education. Health Information & Libraries Journal 2007; 24: 2–23.

    Google Scholar 

  • Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behaviour. Information Systems Research 13 (2), pp. 205–223.

    Google Scholar 

  • Lederer, AL., Maupin, DJ., Sena, MP., Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems 29, pp. 269–282.

    Google Scholar 

  • Lee, S. (2001). Modeling the business value of information technology. Information and Management, 39 (3), 191–210.

    Google Scholar 

  • McKinney, V., Yoon, K., Zahedi, F. (2002). The measurement of Webcustomer satisfaction: an expectation and disconfirmation approach. Information Systems Research 13 (3), pp. 296.

    Google Scholar 

  • Nicholas, D., Huntington, P., Jamali, HJ., Dobrowolski, T. (2007). Characterizing and evaluating information seeking behavior in digital environment: spotlight on the bouncer. Information processing & Management, 43(4), pp 1085–1102.

    Google Scholar 

  • Nielsen Media. (1997). Search engines most popular method of surfing the web (Website). Commerce Net/Nielsen Media. Retrieved 30.8.2000 from the World Wide Web: http://www.commerce.net/news/press/0416.html./

    Google Scholar 

  • O’Connor, P. (2008). User-Generated Content and Travel: A Case Study on Tripadvisor. Com. Information and Communication Technologies in Tourism 2008. Springer Vienna.

    Google Scholar 

  • O’Reilly, T. (2005). What Is Web 2.0. http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/ what-is-web-20.html

    Google Scholar 

  • Pan, B. & Fesenmaier, DR. (2000). A typology of tourism-related websites: Its theoretical background and implications. Information Technology and Tourism, 3(3/4): 155–176.

    Google Scholar 

  • Pan, B., Fesenmaier, DR. (2006). Online information search: vacation planning process. Annals of Tourism Research, 33 (3): 809–832.

    Google Scholar 

  • Pitkow, J. (1997). In search of reliable usage data on WWW. Computer Networks and ISDN Systems, 29 (8–13) pp 1343–1355

    Google Scholar 

  • Poon, A. (1993). Tourism, Technology and Competitive Strategies. Wallingford, CT: CAB International, Oxford.

    Google Scholar 

  • Pu, HT. (2000). An exploratory analysis on search terms of network users in Taiwan (in Chinese). Central Library Bulletin, 89(1), 23–37.

    Google Scholar 

  • Ricci, F. (2002). Travel Recommender Systems. IEEE Intelligent Systems, November/December, 55–57.

    Google Scholar 

  • Rogers, EM., Agarwala-Rogers, R. (1975). Organizational communication, G. L. Hanneman, W. J. McEwen, eds. Communication Behaviour. Addison Wesley, Reading, MA, 218–236.

    Google Scholar 

  • Rose, D., Levinson, D. (2004). Understanding user goals in web search. Proceedings of the 13th international conference on World Wide Web. New York, NY, USA.

    Google Scholar 

  • Rose, G., Khoo, H., Straub, DW. (1999). Current technological impediments to business-toconsumer electronic commerce. Communications of AIS 1(16), 1–74.

    Google Scholar 

  • Rumpradit, C., Donnel, ML. (1999). Navigational cues on user interface design to produce better information seeking on the World Wide Web. Proceedings of the 32nd Hawaii International Conference on System Sciences.

    Google Scholar 

  • Santosa, PI., Wei, KK., Chan, HC. (2005). User Involvement and user satisfaction with information seeking activity, European Journal of Information Systems, pp 361–370.

    Google Scholar 

  • Shanshan, Q.I., Buhalis, D., Law, R. (2007). Evaluation of the Usability of Chinese Destination Management Organization Website. Information and Communication Technologies in Tourism 2007. Springer, Ljubljana.

    Google Scholar 

  • Sheldon, P. (1997). Tourism Information Technology, CAB, Oxford.

    Google Scholar 

  • Silverstein, C., Henzinger, M., Marais, H., Moricz, M. (1999). Analysis of a very large Web search engine query log. ACM SIGIR Forum

    Google Scholar 

  • Thevenot, G. (2007). Blogging as Social Media. Tourism and Hospitality Research, Vol 7, 3/4, pp 282–289.

    Google Scholar 

  • Triacca, L., Inversini, A., Bolchini, D. (2005). Evaluating Web Usability with MiLE+. Website Evolution IEEE Symposium, Budapest: Hungary.

    Google Scholar 

  • Vander Wal, T. (2004). You down with Folksonomy? — Reteived March 28, 2008 from http://www.vanderwal.net/random/entrysel.php?blog=1529

    Google Scholar 

  • Werthner, H., Klein, S. (1999). Information Technology and Tourism — A Challenging Relationship. Wien-New York, Springer Verlag.

    Google Scholar 

  • Xiang, Z., Wöber, K., Fesenmaier, DR. (2008). Representation of the Online Tourism Domain in Search Engine. Journal of Travel Research, 47, (2), pp 137–150

    Google Scholar 

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Inversini, A., Buhalis, D. (2009). Information Convergence in the Long Tail: The Case of Tourism Destination Information. In: Höpken, W., Gretzel, U., Law, R. (eds) Information and Communication Technologies in Tourism 2009. Springer, Vienna. https://doi.org/10.1007/978-3-211-93971-0_32

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  • DOI: https://doi.org/10.1007/978-3-211-93971-0_32

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-93970-3

  • Online ISBN: 978-3-211-93971-0

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