Big Data Analytics and Firm Performance in the Hotel Sector

IF 1.2 Q3 HOSPITALITY, LEISURE, SPORT & TOURISM
Tiago Carneiro, W. Picoto, Inês Pinto
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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.
酒店业的大数据分析和企业绩效
大数据(BD)分析在帮助酒店企业获得竞争优势和实现卓越绩效方面发挥着关键作用。本研究的目的是确定哪些因素鼓励酒店企业使用大数据分析(BDA),以及BDA对酒店企业绩效的影响。了解大数据分析对酒店行业的影响对于帮助酒店管理者利用大数据通过提高酒店绩效来创造商业价值非常重要。通过向某欧洲国家的酒店经理发送问卷,并使用PLS进行分析,我们开发了一个研究模型,并对收集的数据进行了测试。结果表明,组织准备程度和竞争压力通过最高管理层支持的中介作用鼓励了BDA的使用。研究结果还表明,使用BDA可以通过提高酒店绩效的主要维度来创造商业价值:财务绩效、客户保留率和酒店声誉。
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来源期刊
Tourism and Hospitality Management-Croatia
Tourism and Hospitality Management-Croatia HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
1.90
自引率
23.10%
发文量
33
审稿时长
15 weeks
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.
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