Information Technology & Tourism

, Volume 20, Issue 1–4, pp 131–152 | Cite as

Understanding European tourists’ use of e-tourism platforms. Analysis of networks

  • Tatiana David-Negre
  • Arminda Almedida-Santana
  • Juan M. Hernández
  • Sergio Moreno-GilEmail author
Original Research


This paper analyses the use of the main e-tourism platforms by European tourists. A computer-aided Web interview (CAWI) was used to conduct the research in 19 European countries: Germany, Austria, Belgium, Denmark, Spain, Finland, France, Holland, Ireland, Italy, Norway, Poland, Portugal, Russia, Sweden, Switzerland, Luxemburg, Czech Republic, and the United Kingdom. The final sample consisted of 13,243 tourists. Through the methodology of Social Network Analysis (SNA), the study focuses on detecting key network players (social media, OTAs, etc.) in the e-tourism ecosystem. The network analysis reveals the structural characteristics of the network of networks in the European e-tourism ecosystem: number of platforms (473), centrality degree and betweenness, and the specific characteristics of the networks by country. The results show an e-tourism network of platforms following a pattern known as core-periphery. Four platforms show a predominant role: Facebook, TripAdvisor, Google, and Booking. These ‘big four’ ego-networks are graphically represented to better understand the e-tourism network. The results also show that different networks are formed by country according to the use of e-tourism platforms. This study helps understand in a novel way the behaviour of European tourists when using e-tourism platforms to choose their travel destination. The results obtained are useful for companies and Destination Marketing Organizations (DMOs), understanding how e-tourism platforms are connected in order to design their segmentation and promotion strategy through e-tourism platforms in the European market.


Europe Social media Social network analysis Core–periphery structure Network science Information sources Communities 


  1. Almeida-Santana A, Moreno-Gil S (2017) New trends in information search and their influence on destination loyalty: digital destinations and relationship marketing. J Destin Mark Manag 6(2):150–161Google Scholar
  2. Amaro S, Duarte P (2017) Social media use for travel purposes: a cross cultural comparison between Portugal and the UK. Inf Technol Tourism 17(2):161–181CrossRefGoogle Scholar
  3. Angus E, Stuart D, Thelwall M (2010) Flickr’s potential as an academic image resource: an exploratory study. J Librariansh Inf Sci 42(4):268–278CrossRefGoogle Scholar
  4. Baggio R (2007) The web graph of a tourism system. Phys A 379(2):727–734CrossRefGoogle Scholar
  5. Baggio R, Del Chiappa G (2014) Real and virtual relationships in tourism digital ecosystems. Inf Technol Tour 14(1):3–19CrossRefGoogle Scholar
  6. Baggio R, Scott N, Cooper C (2010) Network science: a review focused on tourism. Ann Tour Res 37(3):802–827CrossRefGoogle Scholar
  7. Benckendorff P (2010) Exploring the limits of tourism research collaboration: a social network analysis of co-authorship patterns in Australian and New Zealand tourism research. In: CAUTHE 2010: Tourism and Hospitality: Challenge the Limits. University of Tasmania, School of Management, Hobart, Tas, pp 151–174Google Scholar
  8. Borgatti SP, Everett MG (1997) Network analysis of 2-mode data. Soc Netw 19(3):243–269CrossRefGoogle Scholar
  9. Borgatti SP, Everett MG (1999) Models of core-periphery structures. Soc Netw 21:375–395CrossRefGoogle Scholar
  10. Borgatti SP, Everett MG, Freeman LC (2002) Ucinet for windows: software for social network analysis. Analytic Technologies, HarvardGoogle Scholar
  11. Borgatti SP, Everett MG, Johnson JC (2013) Analyzing social networks. SAGE Publications Limited, Thousand oaksGoogle Scholar
  12. Buhalis D, Laws E (eds) (2001) Tourism distribution channels: practices issues and transformations. Cengage Learning EMEA, AndoverGoogle Scholar
  13. Carballo MM, Araña JE, León CJ, Moreno-Gil S (2015) Economic valuation of tourism destination image. Tour Econ 21(4):741–759CrossRefGoogle Scholar
  14. Casanueva C, Gallego Á, García-Sánchez MR (2016) Social network analysis in tourism. Curr Issues Tour 19(12):1190–1209CrossRefGoogle Scholar
  15. Chan NL, Guillet BD (2011) Investigation of social media marketing: how does the hotel industry in Hong Kong perform in marketing on social media websites? J Travel Tour Mark 28(4):345–368. CrossRefGoogle Scholar
  16. Chen X (2000) Growing up in a collectivistic culture: socialization and socio-emotional development in Chinese children. In: Comunian AL, Gielen UP (eds) International perspectives on human development. Pabst Science, Lengerich, pp 331–353Google Scholar
  17. Corral-Marfil JA, Herrera IMR, Vázquez ÁV, Valiente GC (2015) Estudio de la investigación turística a través de las coautorías de artículos: cálculo de indicadores de colaboración y análisis de redes sociales. El caso de las universidades catalanas. PASOS. Revista de Turismo y Patrimonio Cultural 13(4):789–803Google Scholar
  18. Escobar-Rodríguez T, Grávalos-Gastaminza MA, Pérez-Calañas C (2016) Facebook and the intention of purchasing tourism products: moderating effects of gender, age and marital status. Scand J Hosp Tour. CrossRefGoogle Scholar
  19. Fang G, Kamei S, Fujita S (2015) How to extract seasonal features of sightseeing spots from Twitter and Wikipedia (preliminary version). Bull Netw Comput Syst Softw 4(1):21–26Google Scholar
  20. Fatanti MN, Suyadnya IW (2015) Beyond user gaze: how Instagram creates tourism destination brand? Proc Soc Behav Sci 211:1089–1095CrossRefGoogle Scholar
  21. Faust K (1997) Centrality in affiliation networks. Soc Netw 19(2):157–191CrossRefGoogle Scholar
  22. Freeman LC (1978) Centrality in social networks conceptual clarification. Soc Netw 1(3):215–239CrossRefGoogle Scholar
  23. Fritsch A, Sigmund H (2016) Review platforms in hospitality. In: Egger R, Gula I, Walcher D (eds) Open tourism. Tourism on the Verge. Springer, HeidelbergGoogle Scholar
  24. Fuchs M, Höpken W, Lexhagen M (2014) Big data analytics for knowledge generation in tourism destinations—a case from Sweden. J Destin Mark Manag 3(4):198–209Google Scholar
  25. Fuentes RC, Moreno-Gil S, González CL, Ritchie JB (2015) Designing and promoting experiences in a tourist destination. An analysis of research and action needs. Cuadernos de Turismo 35:435Google Scholar
  26. Gupta S, Kim H (2004) Virtual community: concepts implications and future research directions. In: Proceedings of the tenth Americas conference on information systems, pp 2679–2687Google Scholar
  27. Gursoy D, Chen JS (2000) Competitive analysis of cross cultural information search behavior. Tour Manag 21(6):583–590CrossRefGoogle Scholar
  28. Gursoy D, Umbreit WT (2004) Tourist information search behavior: cross-cultural comparison of European Union member states. Int J Hosp Manag 23(1):55–70CrossRefGoogle Scholar
  29. Hanan H, Putit N (2014) Express marketing of tourism destination using Instagram in social media networking. In: Sumarjan N, Mohd ZMS, Mohd RS, Zurinawati M, Mohd HMH, Mohd FSB, Atinah Z (eds) Hospitality and tourism: synergizing creativity and innovation in research. Taylor & Francis Group, Croydon, pp 471–474Google Scholar
  30. Hennig-Thurau T, Wiertz C, Feldhaus F (2015) Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies. J Acad Mark Sci 43(3):375–394CrossRefGoogle Scholar
  31. Hyde KF (2007) Contemporary information search strategies of destination-naïve international vacationers. J Travel Tour Mark 21(2–3):63–76CrossRefGoogle Scholar
  32. Inversini A, Masiero L (2014) Selling rooms online: the use of social media and online travel agents. Int J Contemp Hosp Manag 26(2):272–292CrossRefGoogle Scholar
  33. Jansen BJ, Zhang M, Sobel K, Chowdury A (2009) Twitter power: tweets as electronic word of mouth. J Am Soc Inf Sci Technol 60(11):2169–2188CrossRefGoogle Scholar
  34. Juaneda-Ayensa E, Mosquera A, Murillo YS (2016) Omnichannel customer behavior: key drivers of technology acceptance and use and their effects on purchase intention. Front Psychol 7:1117CrossRefGoogle Scholar
  35. Kaplan AM, Haenlein M (2010) Users of the world. unite! The challenges and opportunities of social media. Bus Horiz 53(1):59–68CrossRefGoogle Scholar
  36. König M, Battiston S (2009) From graph theory to models of economic networks. a tutorial. Lect. Notes Econ. Math. Syst. 613:23–63. CrossRefGoogle Scholar
  37. Koo B, Mantin B, O’Connor P (2011) Online distribution of airline tickets: should airlines adopt a single or a multi-channel approach? Tour Manag 32(1):69–74CrossRefGoogle Scholar
  38. Kozak M (2002) Comparative analysis of tourist motivations by nationality and destinations. Tour Manag 23(3):221–232CrossRefGoogle Scholar
  39. Kracht J, Wang Y (2010) Examining the tourism distribution channel: evolution and transformation. Int J Contemp Hosp Manag 22(5):736–757CrossRefGoogle Scholar
  40. Manap KA, Adzharudin NA (2013) The role of user generated content (UGC) in social media for tourism sector. In: The 2013 WEI international academic conference proceedings, pp 52–58Google Scholar
  41. Mich L, Baggio R (2015) Evaluating Facebook pages for small hotels: a systematic approach. Inf Technol Tour 15(3):209–231CrossRefGoogle Scholar
  42. Munar AM, Jacobsen JKS (2014) Motivations for sharing tourism experiences through social media. Tour Manag 43:46–54. CrossRefGoogle Scholar
  43. Neslin SA, Jerath K, Bodapati A, Bradlow ET, Deighton J, Gensler S et al (2014) The interrelationships between brand and channel choice. Mark Lett 25:319–330. CrossRefGoogle Scholar
  44. Park HJ, Park BG (2016) The analysis on the relationship among information search motivation. Tourism omni-channel satisfaction and purchase intention in data technology age. Indian. J Sci Technol 9(40):1–6Google Scholar
  45. Pearce DG (2009) Channel design for effective tourism distribution strategies. J Travel Tour Mark 26(5–6):507–521CrossRefGoogle Scholar
  46. Pearce D, Schott C (2005) Tourism distribution channels: the visitors’ perspective. J Travel Res 44:50–63CrossRefGoogle Scholar
  47. Pearce DG, Taniguchi M (2008) Channel performance in multichannel tourism distribution systems. J Travel Res 46(3):256–267CrossRefGoogle Scholar
  48. Pearce D, Tan R, Schott C (2004) Tourism distribution channels in Wellington, New Zealand. Int J Tour Res 6:397–410CrossRefGoogle Scholar
  49. Piazzi R, Baggio R, Neidhardt J, Werthner H (2011) Destinations and the web: a network analysis view. Inf Technol Tour 13(3):215–228CrossRefGoogle Scholar
  50. Piazzi R, Baggio R, Neidhardt J, Werthner H (2012) Network analysis of the Austrian e-tourism web. Information and communication technologies in tourism 2012. Springer, Vienna, pp 356–367CrossRefGoogle Scholar
  51. Piotrowicz W, Cuthbertson R (2014) Introduction to the special issue information technology in retail: toward omnichannel retailing. Int J Electron Commerce 18(4):5–16CrossRefGoogle Scholar
  52. Quintana AT, Moreno-Gil S, Picazo-Peral P (2016) How could traditional travel agencies improve their competitiveness and survive? A qualitative study in Spain. Tour Manag Perspect 20:98–108CrossRefGoogle Scholar
  53. Santana AA, Gil SM (2018) Cooperation and competition among regions: the umbrella brand as a tool for tourism competitiveness. In: Geopolitics and strategic management in the global economy. IGI Global, pp 315–336Google Scholar
  54. Sigala M (2015) Social media marketing in tourism and hospitality. Inf Technol Tour 15(2):181–183CrossRefGoogle Scholar
  55. TripAdvisor (2016) Registration data from TripAdvisor Accessed 26 May 2016
  56. Uysal M, McDonald CD, Reid LJ (1990) Sources of information used by international visitors to US parks and natural areas. J Park Recreat Adm 8(1):51–59Google Scholar
  57. Verhoef PC, Kannan PK, Inman JJ (2015) From multi-channel retailing to omni-channel retailing: introduction to the special issue on multi-channel retailing. J Retail 91:174–181. CrossRefGoogle Scholar
  58. Wang YC, Qualls W (2007) Technology adoption by hospitality organizations: towards a theoretical framework. Int J Hosp Manag 26(3):560–573CrossRefGoogle Scholar
  59. Welbourne DJ, Grant WJ (2015) Science communication on YouTube: factors that affect channel and video popularity. Public Underst Sci. CrossRefGoogle Scholar
  60. World Tourism Organization (UNWTO) (2015) Tourism Highlights. Accessed Apr 2017
  61. Ye Q, Li T, Law R (2013) A coauthorship network analysis of tourism and hospitality research collaboration. J Hosp Tour Res 37(1):51–76CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Tatiana David-Negre
    • 1
  • Arminda Almedida-Santana
    • 1
  • Juan M. Hernández
    • 1
  • Sergio Moreno-Gil
    • 1
    Email author
  1. 1.Universidad de Las Palmas de Gran Canaria - University Institute of Tourism and Sustainable Economic Development (TIDES)Las Palmas de Gran CanariaSpain

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