Big Data Analytics and Firm Performance in the Hotel Sector

Tiago Carneiro, Winnie Ng Picoto () and Inês Pinto
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Tiago Carneiro: ISEG Business School of Economics and Management, University of Lisbon, Rua do Quelhas 6, 1200-781 Lisboa, Portugal
Winnie Ng Picoto: ADVANCE/CSG & ISEG Business School of Economics and Management, University of Lisbon, Rua do Quelhas 6, 1200-781 Lisboa, Portugal
Inês Pinto: ADVANCE/CSG & ISEG Business School of Economics and Management, University of Lisbon, Rua do Quelhas 6, 1200-781 Lisboa, Portugal

Tourism and Hospitality, 2023, vol. 4, issue 2, 1-13

Abstract: Big data (BD) analytics play a key role in helping hotel firms gain competitive advantages and achieve superior performance. The purpose of this study was to determine which factors encourage the use of big data analytics (BDA) by hotel firms and the impact of BDA on hotel firms’ performance. Understanding the impacts of big data analytics in the hotel sector is important to help hotel managers use big data for creating business value by increasing hotel performance. A research model was developed and tested with data collected through a questionnaire sent to hotel managers in a European country and analysed with PLS. The results indicate that organisational readiness and competitive pressure encourage the use of BDA through the mediating role of top management support. The findings also indicate that the use of BDA can create business value by increasing the main dimensions of hotel performance: financial performance, customer retention rate, and hotel reputation.

Keywords: big data; big data analytics; hotel sector; dynamic capabilities; hotel performance (search for similar items in EconPapers)
JEL-codes: Z3 Z30 Z31 Z32 Z33 Z38 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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