A Systematic Literature Review on Hospitality Analytics

A Systematic Literature Review on Hospitality Analytics

João Paulo Rodrigues, Maria José Sousa, Ana Brochado
Copyright: © 2020 |Pages: 9
DOI: 10.4018/IJBIR.20200701.oa2
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Abstract

With the growth of data generated by all systems involved in a hotel, terms like big data and business analytics (BA) gain strength within the hotel industry. Business analytics can be used in hospitality management to increase business knowledge and to improve the decision-making process. This study's main questions are: RQ1 – Which are the main research attributes studied in the past two decades related to analytics in the hospitality sector? RQ2 – What are the main differences between business intelligence and business analytics? RQ3 – What are the main trends in business analytics? RQ4 – Which are the main business intelligence perceptions and beliefs? To answer these research questions, this article provides a literature review to systematize the research made in business analytics information systems in the hospitality industry. The results can help identify different research attributes and the most relevant theories developed in the past two decades related to business analytics tools.
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2. Materials And Methods

A systematic search of online scientific databases using the platform Ebsco-host, a scientific information research tool, was conducted at the beginning of April 2019. The search was made using several queries containing the keywords “Data Analytics” and “Hospitality.” The first results were 16,934 articles. The inclusion of the time criteria “2000-2019” and “Scientific Reviews” 1,667 articles were listed. Only the articles reporting precise empirical data and a scientific methodology were considered for a more in-depth review (286) (Figure 1), and after exclusion of the articles which do not focus exclusively in Hospitality was listed 124 articles. The articles selected for this systematic review are presented in Annex 1, containing information regarding the bibliographical reference of the publication, the primary attributes researched, and the key findings.

Figure 1.

Flowchart outlining the literature review

IJBIR.20200701.oa2.f01

Table 1 is shown with the summary of the research attribute referred in the articles analyzed at least ten times.

Table 1.
Research attributes
Research Attributen
Big Data Analytics39
Social media20
Big data16
Tourism15
Social media analytics14
Online reviews14
Artificial intelligence12
Sharing economy10
Customer Relationship Management10
Text analytics10
Data Mining10

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