Applying Big Data Technologies in Tourism Industry: A Conceptual Analysis

Leonidas Theodorakopoulos, Constantinos Halkiopoulos () and Dimitris Papadopoulos
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Leonidas Theodorakopoulos: University of Patras
Constantinos Halkiopoulos: University of Patras
Dimitris Papadopoulos: University of Patras

A chapter in Tourism, Travel, and Hospitality in a Smart and Sustainable World, 2023, pp 337-352 from Springer

Abstract: Abstract Tourism is the “heavy industry” of our country, as confirmed by the statistical data of many surveys. With the help of new technologies, the goal of attracting quality tourism and increasing per capita spending on products and services provided by the tourism industry is becoming more and more achievable. In the present work, the adoption of big data technologies in the field of tourism is examined through a review of the existing literature, with the main goal of gaining a deeper knowledge and understanding of the requirements of tourists in our country and improving the way of decision making. The paper also mentions the advantages and benefits of using big data technologies and popular methods used for sorting and contracting big data.

Keywords: Big Data; Tourism industry; Demand forecasts; Factor model; LASSO model (search for similar items in EconPapers)
JEL-codes: L86 O32 O33 Z32 Z33 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-26829-8_21

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DOI: 10.1007/978-3-031-26829-8_21

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