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Tourism Intelligence and Visual Media Analytics for Destination Management Organizations

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Analytics in Smart Tourism Design

Part of the book series: Tourism on the Verge ((TV))

Abstract

Understanding dynamic changes in tourist perceptions and analyzing user-generated content to assess the impact of campaigns and promotional activities are among the key questions facing many destination management organizations. Web intelligence platforms help to answer these questions, particularly when they are scalable enough to analyze and visualize Web-scale information flows in real time. This paper presents a tourism Web intelligence platform for acquiring and processing real-time streams of online content from Web sites and social media platforms, advanced methods to extract factual and affective knowledge from these sources, and interactive visualization techniques to explore topical trends and assess the impact of communication campaigns. The extracted knowledge is analyzed from a destination image perspective, incorporating Aaker’s dimensions of brand personality. The chapter highlights the importance of real-time analytics solutions for marketers to respond in a timely manner and adapt their positioning strategies.

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References

  • Aaker, J. L. (1997). Dimensions of brand personality. Journal of Marketing Research, 34, 347–356.

    Article  Google Scholar 

  • Avraham, E. (2000). Cities and their news media images. Cities, 17(5), 363–370.

    Article  Google Scholar 

  • BBC News. (2015). Denmark Shooting: Gunman targets Copenhagen Free Speech Debate. Retrieved February 14, 2015, from http://www.bbc.com/news/world-europe-31472741

  • Baloglu, S., & Brinberg, D. (1997). Affective images of tourism destinations. Journal of Travel Research, 35(4), 11–15.

    Google Scholar 

  • Baloglu, S., & McCleary, K. W. (1999). A model of destination image formation. Annals of Tourism Research, 26(4), 868–897.

    Article  Google Scholar 

  • Beerli, A., & Martin, J. D. (2004). Tourists’ characteristics and the perceived image of tourist destinations: A quantitative analysis- a case study of Lanzarote, Spain. Tourism Management, 25, 623–636.

    Article  Google Scholar 

  • Bigne, J. E., Sanchez, M. I., & Sanchez, J. (2001). Tourism image, evaluation variables and after purchase behaviour: Inter-relationship. Tourism Management, 22(6), 607–616.

    Article  Google Scholar 

  • Britton, R. (1979). The image of the third world in tourism marketing. Annals of Tourism Research, 6(3), 331–358.

    Article  Google Scholar 

  • Brasoveanu, A. M. P., Sabou, M., Scharl, A., Hubmann-Haidvogel, A., & Fischl, D. (2016). Visualizing statistical linked knowledge for decision support. Semantic Web Journal, Forthcoming.

    Google Scholar 

  • Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188.

    Google Scholar 

  • Chen, C. F., & Phou, S. (2013). A closer look at destination: Image, personality, relationship and loyalty. Tourism Management, 36, 269–278.

    Article  Google Scholar 

  • Diakopoulos, N., Naaman, M., & Kivran-Swaine, F. (2010). Diamonds in the rough: Social media visual analytics for journalistic inquiry. IEEE Symposium on Visual Analytics Science and Technology (VAST-2010) (pp. 115–122). Salt Lake City: IEEE.

    Google Scholar 

  • Dickinger, A., & Lalicic, L. (2016). An analysis of destination brand personality and emotions: A comparison study. Information Technology & Tourism, 15(4), 317–340.

    Article  Google Scholar 

  • Ekinci, Y., Sirakaya-Turk, E., & Baloglu, S. (2007). Host image and destination personality. Tourism Analysis, 12(5–6), 433–446.

    Article  Google Scholar 

  • Gartner, W. C. (1994). Image formation process. Journal of Travel and Tourism Marketing, 2(2–3), 191–216.

    Article  Google Scholar 

  • Geuens, M., Weijters, B., & De Wulf, K. (2009). A new measure of brand personality. International Journal of Research in Marketing, 26(2), 97–107.

    Article  Google Scholar 

  • Govers, R., Go, F. M., & Kumar, K. (2007). Promoting tourism destination image. Journal of Travel Research, 46(1), 15–23.

    Article  Google Scholar 

  • Gunn, C. (1972). Vacationscape. Austin, TX: Bureau of Business Research, University of Texas.

    Google Scholar 

  • Gunn, C. A. (1997). Vacationscape: Developing tourist areas. Washington, DC: Taylor & Francis.

    Google Scholar 

  • Hankison, G. (2004). Relational work on brands: Towards a conceptual model of place brands. Journal of Vacation Marketing, 10(2), 109–121.

    Article  Google Scholar 

  • Hoang, T.-A., & Cohen, W.W., et al. (2013). Politics, sharing and emotion in microblogs. IEEE/ACM International conference on advances in social networks analysis and mining (pp. 282–289). Niagara Falls, Canada: ACM Press.

    Google Scholar 

  • Hubmann-Haidvogel, A., Scharl, A., & Weichselbraun, A. (2009). Multiple coordinated views for searching and navigating web content repositories. Information Sciences, 179(12), 1813–1821.

    Article  Google Scholar 

  • Mangaravite, V., Assis, G. T. D., & Ferreira, A. A. (2012). Improving the efficiency of a genre-aware approach to focused crawling based on link context. Eighth Latin American Web Congress (LA-WEB 2012) (pp. 17–23). Cartagena de Indias, Colombia: IEEE CPS.

    Google Scholar 

  • Marcus, A., & Bernstein, M.S., et al. (2011). Twitinfo: Aggregating and visualizing microblogs for event exploration. 2011 Annual conference on human factors in computing systems (CHI-11) (pp. 227–236). Vancouver, Canada: ACM.

    Google Scholar 

  • Morgan, N., & Pritchard, A. (2004). Meeting the destination branding challenge. Destination Branding, 59–79.

    Google Scholar 

  • Murphy, L., Moscardo, G., & Benckendorff, P. (2009). Linking travel motivation, tourist self-image and destination brand personality. Journal of Travel & Tourism Marketing, 22(2), 45–59.

    Article  Google Scholar 

  • Nasukawa, T., & Yi, J., (2003). Sentiment analysis: Capturing favourability using natural language processing. Proceedings of the 2nd International conference on knowledge capture (pp. 70–77). ACM.

    Google Scholar 

  • Qu, H., Kim, L. H., & Im, H. H. (2011). A model of destination branding; Integrating the concepts of the branding and destination image. Tourism Management, 32(3), 465–467.

    Article  Google Scholar 

  • Sabou, M., Arsal, I., & Brasoveanu, A. M. P. (2013). TourMISLOD: A tourism linked data set. Semantic Web Journal, 4(3), 271–276.

    Google Scholar 

  • Scharl, A., Herring, D., Rafelsberger, W., Hubmann-Haidvogel, A., Kamolov, R., Fischl, D., et al. (2016a). Semantic systems and visual tools to support environmental communication. IEEE Systems Journal. Forthcoming. Accepted 31 July 2015.

    Google Scholar 

  • Scharl, A., Hubmann-Haidvogel, A., Jones, A., Fischl, D., Kamolov, R., Weichselbraun, A., et al. (2016b). Analyzing the public discourse on works of fiction—automatic emotion detection in online media coverage about HBO’s Game of Thrones”. Information Processing & Management, 52(1), 129–138.

    Google Scholar 

  • Scharl, A., Hubmann-Haidvogel, A., et al. (2013). From web intelligence to knowledge co-creation—A Platform to analyze and support stakeholder communication. IEEE Internet Computing, 17(5), 21–29.

    Article  Google Scholar 

  • Scharl, A., & Weichselbraun, A. (2008). An automated approach to investigating the online media coverage of US Presidential Elections. Journal of Information Technology & Politics, 5(1), 121–132.

    Article  Google Scholar 

  • Sealy, W., & Wickens, E. (2010). The potential impact of mega sport media on the travel decision‐making process and destination choice—the case of Portugal and Euro 2004. Journal of Travel & Tourism Marketing, 24(2–3), 127–137.

    Google Scholar 

  • Selby, M. (2004). Consuming the city: Conceptualizing and researching urban tourist knowledge. Tourism Geographies, 6(2), 186–207.

    Article  Google Scholar 

  • Seljeseth, P. I., & Korneliussen, T. (2015). Experience-based brand personality as a source of value co-creation: The case of Lofoten. Scandinavian Journal of Hospitality and Tourism, 15(supp 1), 48–61.

    Article  Google Scholar 

  • Sirgy, M. J. (1982). Self-concept in consumer behavior: A critical review. Journal of Consumer Research, 9(3), 287–300.

    Article  Google Scholar 

  • Sirgy, M. J., & Su, C. (2000). Destination image, self-congruity, and travel behavior: Toward an integrative model. Journal of Travel Research, 38(4), 340–352.

    Article  Google Scholar 

  • Sönmez, S., & Sirakaya, E. (2002). A distorted destination image? The case of Turkey. Journal of Travel Research, 41(2), 185–196.

    Article  Google Scholar 

  • Stepchenkova, S., & Eales, J. S. (2011). Destination image as quantified media messages: The effect of news on tourism demand. Journal of Travel Research, 50(2), 198–212.

    Article  Google Scholar 

  • United States Travel Service. (1977). International travel market reviews of selected major tourism generating countries. Washington, DC: US Department of Commerce.

    Google Scholar 

  • Usakli, A., & Baloglu, S. (2011). Brand personality of tourist destinations: An application of self-congruity theory. Tourism Management, 32(1), 114–127.

    Article  Google Scholar 

  • Weichselbraun, A., Gindl, S., & Scharl, A. (2013). Extracting and grounding contextualized sentiment lexicons. IEEE Intelligent Systems, 28(2), 39–46.

    Article  Google Scholar 

  • Weichselbraun, A., Gindl, S., & Scharl, A. (2014). Enriching semantic knowledge bases for opinion mining in big data applications. Knowledge-Based Systems, 69, 78–86.

    Article  Google Scholar 

  • Whitelaw, C., Garg, N., & Argamon, S. (2005, October). Using appraisal groups for sentiment analysis. Proceedings of the 14th ACM International conference on information and knowledge management (pp. 625–631). ACM.

    Google Scholar 

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Acknowledgement

Some of the visual analytics components presented in this chapter have been developed as part of the ASAP Research Project (“Adaptive Scalable Analytics Platform”), which receives funding from the European Union’s 7th Framework Program for Research, Technology Development and Demonstration under the Grant Agreement No. 619706.

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Correspondence to Arno Scharl .

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Scharl, A., Lalicic, L., Önder, I. (2017). Tourism Intelligence and Visual Media Analytics for Destination Management Organizations. In: Xiang, Z., Fesenmaier, D. (eds) Analytics in Smart Tourism Design. Tourism on the Verge. Springer, Cham. https://doi.org/10.1007/978-3-319-44263-1_10

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