{"title":"Big Data Analytics and Firm Performance in the Hotel Sector","authors":"Tiago Carneiro, W. Picoto, Inês Pinto","doi":"10.3390/tourhosp4020015","DOIUrl":null,"url":null,"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.","PeriodicalId":45185,"journal":{"name":"Tourism and Hospitality Management-Croatia","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism and Hospitality Management-Croatia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/tourhosp4020015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Tourism and Hospitality Management is an international, multidisciplinary, open access journal, aiming to promote and enhance research in all fields of the tourism and hospitality industry. It publishes double-blind reviewed papers and encourages an interchange between tourism and hospitality researchers, educators and managers. Editors of Tourism and Hospitality Management strongly promote research integrity and aim to prevent any type of scientific misconduct, such as: fabrication, falsification, plagiarism, redundant publication and authorship problems. All submitted manuscripts are checked using Crossref Similarity Check (iThenticate). Nurturing a scientifically based approach to research, the journal publishes original papers along with empirical research and theoretical articles that contribute to the conceptual development of tourism and hospitality management. Editors look particularly for articles about new trends, challenges and developments, as well as the application of new ideas that are likely to affect the tourism and hospitality industry. The general criteria for the acceptance of articles are: contribution to the scientific knowledge in the field of tourism and hospitality management, scientifically reliable research methodology, relevant literature review and quality of the English language.