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Dark Side of Digital Transformation in Tourism

  • Meghdad Abbasian Fereidouni
  • Arkadiusz KawaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11432)

Abstract

Research on technology in tourism has mostly investigated the benefits and the applications of digitalization, while the risk of structural dependency and data control has mostly neglected in smart tourism research. This study aims to investigate the digital transformation changes in tourism. This research underscores the potential dark side of five digital transformation drivers in tourism through in depth analysis of four activity system elements. The findings highlight the long-term economic, political, and social consequences of digital transformation that may lead to digital colonialism in tourist destination. The research underlines three main digital transformation gaps (productivity, technology, regulation) that may lock the tourist destinations into digital colonialism and dependency.

Keywords

E-commerce Colonialism Digitalization Tourism Platform economy 

Notes

Acknowledgements

This paper has been written with financial support of the National Center of Science [Narodowe Centrum Nauki] – grant number DEC-2015/19/B/HS4/02287.

References

  1. 1.
    Aznar, J.P., Sayeras, J.M., Rocafort, A., Galiana, J.: The irruption of Airbnb and its effects on hotel profitability: an analysis of Barcelona’s hotel sector. Intangible Capital 13(1), 147–159 (2017)Google Scholar
  2. 2.
    Blal, I., Singal, M., Templin, J.: Airbnb’s effect on hotel sales growth. Int. J. Hospitality Manage. 73, 85–92 (2018)Google Scholar
  3. 3.
    Buhalis, D., Law, R.: Progress in information technology and tourism management: 20 years on and 10 years after the Internet. State eTourism Res. 29, 609–623 (2008)Google Scholar
  4. 4.
    Cheng, M., Foley, C.: The sharing economy and digital discrimination: the case of Airbnb. Int. J. Hospitality Manage. 70, 95–98 (2018)Google Scholar
  5. 5.
    Del, G., Baggio, R.: Knowledge transfer in smart tourism destinations: analyzing the effects of a network structure. J. Destination Mark. Manage. 4(3), 145–150 (2015)Google Scholar
  6. 6.
    Gretzel, U.: Intelligent systems in tourism: a social science perspective. Ann. Tourism Res. 38(3), 757–779 (2011)Google Scholar
  7. 7.
    Gretzel, U., Werthner, H., Koo, C., Lamsfus, C.: Computers in human behavior conceptual foundations for understanding smart tourism ecosystems. Comput. Hum. Behav. 50, 558–563 (2015)Google Scholar
  8. 8.
    Hajibaba, H., Dolnicar, S.: Substitutable by peer-to-peer accommodation networks? Ann. Tourism Res. 66, 185–188 (2017)Google Scholar
  9. 9.
    Huang, C.D., Goo, J., Nam, K., Woo, C.: Smart tourism technologies in travel planning: the role of exploration and exploitation. Inf. Manage. 54, 757–770 (2017)Google Scholar
  10. 10.
    Horn, K., Merante, M.: Is home sharing driving up rents? Evidence from Airbnb in Boston. J. Hous. Econ. 38, 14–24 (2017)Google Scholar
  11. 11.
    Jørgensen, M.T.: Reframing tourism distribution - activity theory and actor-network theory. Tour. Manage. 62, 312–321 (2017)Google Scholar
  12. 12.
    Kang, B., Brewer, K.P., Bai, B.: Biometrics for hospitality and tourism: a new wave of information technology. FIU Hospitality Tourism Rev. 25(1), 1–9 (2007)Google Scholar
  13. 13.
    Kelsey, J.: The Risks for ASEAN of New Mega-Agreements that Promote the Wrong Model of e-Commerce (2017)Google Scholar
  14. 14.
    Kelsey, J.: TiSA Foul play. UNI Global Union (2017)Google Scholar
  15. 15.
    Möller, K., Halinen, A.: Managing business and innovation networks from strategic nets to business fields and ecosystems. Ind. Mark. Manage. 67, 5–22 (2017)Google Scholar
  16. 16.
    Russel, J.: Southeast Asia’s Grab pulls in $200M from travel giant Booking, TechCrunch (2018). https://techcrunch.com/2018/10/29/grab-raises-200m-booking/
  17. 17.
    Singh, P.J.: Report on developing countries in the emerging global digital order table of contents digital re-ordering of society geopolitics of data-based intelligence, pp. 1–8 (2017)Google Scholar
  18. 18.
    Wang, D., Li (Robert), X., Li, Y.: China “smart tourism destination” initiative: a taste of the service-dominant logic. J. Destination Mark. Manage. 2(2), 59–61 (2013)Google Scholar
  19. 19.
    Williams, C.C., Horodnic, I.A.: Regulating the sharing economy to prevent the growth of the informal sector in the hospitality industry. Int. J. Contemp. Hospitality Manage. 29(9), 2261–2278 (2017)Google Scholar
  20. 20.
    World Economic Forum. Digital Transformation Initiative Aviation, Travel and Tourism Industry, Accenture (2017)Google Scholar
  21. 21.
    Zale, K.: When everything is small: the regulatory challenge of scale in the sharing economy. San Diego Law Rev. 53(4), 949–1016 (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Center of Post Graduate StudiesLimkokwing University of Creative TechnologyCyberjayaMalaysia
  2. 2.Poznan University of Economics and BusinessPoznańPoland

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