Abstract
This chapter assesses the competitiveness of the Greek coastal destinations, in a comparative context. To do so, it develops various indicators which help destinations to conceptualize both their dynamics and their structural advantages. To better depict the competitiveness of destinations, the indicators are formulated by using the user-generated data being available at the TripAdvisor website. Under this data-mining process, the benchmarking can highlight critical features of the tourism industry, which cannot be revealed when analysis is based on the typical official data. The results signify a gap of competitiveness between the insular and non-insular destinations but also they reveal some critical features of the tourism-supply, which can facilitate the sustainable development of all Greek destinations.
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References
Apostolopoulos Y, Leontidou L, Loukissas P (2014) Mediterranean tourism: facets of socioeconomic development and cultural change. Routledge, London
Bramwell B (ed) (2004) Coastal mass tourism: diversification and sustainable development in southern Europe, vol 12. Channel View, Clevedon
Niavis S, Tsiotas D (2019) Assessing the tourism performance of the Mediterranean coastal destinations: a combined efficiency and effectiveness approach. J Destin Market Manag 14:100379. https://doi.org/10.1016/j.jdmm.2019.100379
Farmaki A (2012) A supply-side evaluation of coastal tourism diversification: the case of Cyprus. Tour Plan Dev 9(2):183–203. https://doi.org/10.1080/21568316.2011.634431
Cracolici MF, Nijkamp P (2009) The attractiveness and competitiveness of tourist destinations: a study of southern Italian regions. Tour Manag 30(3):336–344. https://doi.org/10.1016/j.tourman.2008.07.006
Sigala M (2004) Using data envelopment analysis for measuring and benchmarking productivity in the hotel sector. J Travel Tour Mark 16(2–3):39–60
Assaf AG, Tsionas EG (2015) Incorporating destination quality into the measurement of tourism performance: a Bayesian approach. Tour Manag 49:58–71. https://doi.org/10.1016/j.tourman.2015.02.003
Barros CP, Machado LP (2010) The length of stay in tourism. Ann Tour Res 37(3):692–706. https://doi.org/10.1016/j.annals.2009.12.005
Tsiotas D, Sdrolias L, Aspridis G, Skodova-Parmova D, Dvorakova-Liskova Z (2020, forthcoming) Size-distribution analysis in the study of urban systems: evidence from Greece. Int J Comput Econ Economet
TripAdvisor (2018) TripAdvisor. Available at https://www.tripadvisor.com. Accessed 1 Jan 2018
Hellenic Statistical Authority – HSA (2018) Hotels, rooms for rent and tourist campsites. Available at http://www.statistics.gr/en/statistics/-/publication/STO12/. Accessed 28 Dec 2018
Norusis M (2004) SPSS 13.0 statistical procedures companion. Prentice Hall, Upper Saddle River, NJ
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Niavis, S., Tsiotas, D. (2020). Assessing the Competitiveness of Greek Coastal Destinations. In: Kavoura, A., Kefallonitis, E., Theodoridis, P. (eds) Strategic Innovative Marketing and Tourism. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-36126-6_106
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DOI: https://doi.org/10.1007/978-3-030-36126-6_106
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