Big Data Analytics and Its Influence on Revenue Growth in the European Tourism Industry

Marian Pompiliu Cristescu, Dumitru Alexandru Mara () and Lia Cornelia Culda
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Marian Pompiliu Cristescu: Lucian Blaga University of Sibiu
Dumitru Alexandru Mara: Lucian Blaga University of Sibiu
Lia Cornelia Culda: Lucian Blaga University of Sibiu

A chapter in Recent Advancements in Tourism Business, Technology and Social Sciences, 2024, pp 15-26 from Springer

Abstract: Abstract The present study seeks to uncover the extent of big data analytics adoption within the tourism industry of European Union nations. Secondly, it aims to identify a potential correlation between the deployment of big data analytics and higher turnover rates in these businesses. Through comprehensive evaluation of datasets accumulated from 2016 to 2020, the research unveils interesting patterns and trends related to the use of big data analysis and revenue generation in the tourism sector. We expect the results to show that in countries with a significant percentage of tourism businesses that utilize big data analysis, these countries are likely to show an increased index of turnover associated with their services. The implications of this study are far-reaching. It is anticipated that the results will provide valuable insights for businesses in the tourism sector and policy makers. If a positive correlation is identified, it could potentially encourage more extensive application of big data analytics in the industry, leading to enhanced business growth, competitiveness, and economic prosperity. Furthermore, the findings may also stimulate further research into the effective application of big data analytics across different sectors.

Keywords: Big data analytics; Revenue generation; Tourism industry (search for similar items in EconPapers)
JEL-codes: D83 L83 O32 O52 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-54338-8_2

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DOI: 10.1007/978-3-031-54338-8_2

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