Dominance of Tourism Marketing Channels in the Global Travel and Tourism Industry: A Financial Market Perspective

  • Alexios-Patapios KontisEmail author
  • Ioannis Tsakalos
  • Theodoros Stavrinoudis
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)


As tourism services markets expand and become more and more complex and uncertain, there is growing recognition that competitive advantage of marketing channels rely not only on superior channel commitment and performance, but also on instant accessibility through mobile devices and user-friendly applications that cancel anachronistic terms such as limitations of place and time. The rapid developments of Information Communication Technologies (ICT) on Tourism Distribution Channels have a great impact on worldwide tourism and hospitality industry with significant effect on the dealings between the members of the channels. Vital factors such as power, roles and influences change unpredictable causing confusion to several of the tourism stakeholders. The purpose of the present paper is to examine the case of increasing dominance of the Online Tour Operators on traditional tourism producers (hospitality industry) by comparing their share prices’ returns. In order to achieve this aim, we employ the Dynamic Conditional Correlation (DCC) model to examine dynamic correlations between the major Online Tour Operators’ and big capitalization Hotel Groups’ returns. The primary purpose of this article is to expand the understanding of industry practitioners as well as to academic researchers interested in tourism distributions marketing channels.


Tourism Marketing Channels Tourism Distribution Online Travel Agencies (OTAs)  


  1. 1.
    Bilgihan Α, Bujisic Μ (2015) The effect of website features in online relationship marketing: a case of online hotel booking. Electron Commer Res Appl 14:222–232. CrossRefGoogle Scholar
  2. 2.
    Chiu CM, Wang ET, Fang YH, Huang HY (2014) Understanding customers’ repeat purchase intentions in B2C e-commerce: τhe roles of utilitarian value, hedonic value and perceived risk. Inf Syst J 241:85–114. CrossRefGoogle Scholar
  3. 3.
    Kontis AP, Skoultsos S, Papayiannis D (2019) Tourism marketing channels in digital evolution era: online travel agencies in Greek tourism industry. In: Strategic innovative marketing and tourism. Springer, Cham, pp 1303–1310. CrossRefGoogle Scholar
  4. 4.
    Skoultsos S, Kontis AP, Sarantakou E (2017) Conceptualization of changes in tourism industry’s distribution channels: the case of peer-to-peer business models and sharing economy platforms. J Tour Res 16:292–303Google Scholar
  5. 5.
    Thakran K, Verma R (2013) The emergence of hybrid online distribution channels in travel, tourism and hospitality. Cornell Hosp Q 543:240–247. CrossRefGoogle Scholar
  6. 6.
    Runfola A, Rosati M, Guercini S (2013) New business models in online hotel distribution: emerging private sales versus leading IDS. Serv Bus 72:183–205. CrossRefGoogle Scholar
  7. 7.
    Tanti A, Buhalis D (2017) The influences and consequences of being digitally connected and/or disconnected to travellers. Inf Technol Tour 17:121–141. CrossRefGoogle Scholar
  8. 8.
    Murphy HC, Chen MM, Cossutta M (2016) An investigation of multiple devices and information sources used in the hotel booking process. Tour Manag 52:44–51. CrossRefGoogle Scholar
  9. 9.
    Coughlan A, Anderson E, Stern L, El-Ansary A (2006) Marketing channels, 7th edn. Pearson Prentice Hall, New JerseyGoogle Scholar
  10. 10.
    Cooper C, Lewis J (2001) Transformation and trends in the tourism industry: implications for distribution channels. In: Buhalis D, Laws E (eds) Tourism distribution channels: practices. Issues and transformations continuum, London, pp 315–332Google Scholar
  11. 11.
    Inversini A, Masiero L (2014) Selling rooms online: the use of social media and online travel agents. Int J Contemp Hosp Manag 262:272–292. CrossRefGoogle Scholar
  12. 12.
    Ford R, Wang Y, Vestal A (2012) Power asymmetries in tourism distribution networks. Ann Tour Res 39:755–779. CrossRefGoogle Scholar
  13. 13.
    Gartner WC, Bachri T (1994) Tour operators’ role in the tourism distribution system: an Indonesian case study. J Int Consum Mark 6:161–179. CrossRefGoogle Scholar
  14. 14.
    Middleton V, Clarke J (2001) Marketing in travel and tourism, 3rd edn. Butterworth-Heinemann, OxfordGoogle Scholar
  15. 15.
    Stern LW, El-Ansaray A (1982) Marketing channels. Prentice Hall, New JerseyGoogle Scholar
  16. 16.
    Kavoura A, Katsoni V (2013) From e-business to c-commerce: collaboration and network creation for an e-marketing tourism strategy. Tour 8:113–128. Google Scholar
  17. 17.
    Kracht J, Wang Y (2010) Examining the tourism distribution channel: evolution and transformation. Int J Contemp Hosp Manag 22(5):736–757. CrossRefGoogle Scholar
  18. 18.
    Kontis AP, Skoultos S, Kyriakaki A, Marmara A (2018) Reexamining tourism experience during the new era of peer-to-peer business models: the demand’s perspective. In: Christou E, Alexandris K, Fotiadis A (eds) TOURMAN 2018 conference proceedings “In search of excellence in tourism, travel & hospitality”. ISBN 978-960-287-159-1, pp 449–504Google Scholar
  19. 19.
    Pearce DG (2010) Chapter 8: Tourism distribution: a review and strategic research agenda. In: Pearce D, Butler RW (eds) Tourism research: a 20–20 vision. Goodfellow Publishing, Oxford, pp 94–110Google Scholar
  20. 20.
    Buhalis D (2000) Tourism and information technologies: past present and future. Tour Recreat Res 25:41–58. CrossRefGoogle Scholar
  21. 21.
    Pearce D, Tan R, Schott C (2004) Tourism distribution channels in Wellington, New Zealand. Int J Tour Res 6:397–410. CrossRefGoogle Scholar
  22. 22.
    Rosenbloom B, Larsen T, Brent S (2005) The effectiveness of upstream influence attempts in high and low context export marketing channels. J Mark Channels 11:3–19. CrossRefGoogle Scholar
  23. 23.
    Harrigan KR (1988) Partner asymmetries. In: Contractor J, Lorange P (eds) Cooperative strategies in international business. Lexington Books, Lexington, pp 205–226Google Scholar
  24. 24.
    Engle R (2002) Dynamic conditional correlation. J Bus Econ Stat 20:339–350. CrossRefGoogle Scholar
  25. 25.
    Samitas A, Tsakalos I (2013) How can a small country affect the European economy? The Greek contagion phenomenon. J Int Financ Mark Inst Money 25:18–32. CrossRefGoogle Scholar
  26. 26.
    Serati M, Venegoni A (2019) The cross-country impact of ECB policies: asymmetries in – asymmetries out? J Int Money Financ 90:118–141. CrossRefGoogle Scholar
  27. 27.
    Kenourgios D, Dimitriou D (2015) Contagion of the global financial crisis and the real economy: a regional analysis. Econ Model 44:283–293. CrossRefGoogle Scholar
  28. 28.
    Kenourgios D, Papadamou S, Dimitriou D (2015a) Intraday exchange rate volatility transmissions across QE announcements. Financ Res Lett 14:128–134. CrossRefGoogle Scholar
  29. 29.
    Kenourgios D, Papadamou S, Dimitriou D (2015b) On quantitative easing and high frequency exchange rate dynamics. Res Int Bus Financ 34:110–125. CrossRefGoogle Scholar
  30. 30.
    Dimitriou D, Kenourgios D, Simos T (2013) Global financial crisis and emerging stock market contagion: a multivariate FIAPARCH-DCC approach. Int Rev Financ Anal 30:46–56. CrossRefGoogle Scholar
  31. 31.
    Chiang TC, Jeon BN, Li H (2007) Dynamic correlation analysis of financial contagion: evidence from Asian markets. J Int Money Financ 26:1206–1228. CrossRefGoogle Scholar
  32. 32.
    Cappiello L, Engle RF, Sheppard K (2006) Asymmetric dynamics in the correlations of global equity and bond returns. J Financ Economet 4:537–572. CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Alexios-Patapios Kontis
    • 1
    Email author
  • Ioannis Tsakalos
    • 1
  • Theodoros Stavrinoudis
    • 1
  1. 1.University of the AegeanChiosGreece

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