Enhancing competitiveness in the tourism industry through the use of business intelligence

A literature review

Bibliographic Data

ID19554205
AuthorsChristopher Nyanga (University of Botswana, corresponding author), Jaloni Pansiri (0000-0003-0915-9715, University of Botswana), Delly M Chatibura (0000-0001-5839-7678, University of Botswana), Delly Chatibura
Year2019
Volume6
Issue2
Pages139-151
Publication date2019-11-15
Open AccessYes
TypeARTICLE
VenueJournal of Tourism Futures (JOURNAL)
Journal identifiersISSN: 2055-5911 • E-ISSN: 2055-592X
PublisherEmerald (PUBLISHER)
DOI10.1108/jtf-11-2018-0069
OpenAlexW2989934235
LanguageEN
Citations received7
References cited37

Purpose The purpose of this paper is to demonstrate the relevance of business intelligence (BI) in businesses in general and tourism firms in particular. BI has been hailed as an innovation that can propel businesses that adopt the system to high productivity and efficiency. This paper confirms that view but further adds that BI also enhances a business’s competitiveness. Design/methodology/approach This paper reviews literature on the use of BI in tourism. Although current literature is largely fragmented, focusing on BI, the tourism industry and the notion of competitiveness separately, this paper makes an attempt to bring the three sub-themes in the same study and highlights their interconnectedness. The study adopts two environmental analysis models to better analyze this matter. First is the environmental analysis model as based on Downes’s modification of Porter’s five forces framework. The second model used is the resource-based view approach to business environmental analysis. Findings This paper affirms that the tourism industry is one of those industries that continue to benefit from the advantages that come with the adoption of a BI system. Literature shows that the tourism industry was one of those that first adopted BI in order to benefit from the benefits that come with its adoption. Such advantages include flexible and user friendly tourists’ data capture, storage, retrieval, processing and analytical capabilities. Research limitations/implications This was a largely literature review-based study. There is, therefore, room for strengthening its findings by conducting field work and mixed methods research for more robust results. Practical implications This study will surely benefit the tourism industry and business in general from its highly favorable conclusions to the benefits that come with the adoption of a BI system. It can also be used as a reference in to the tourism field, especially aggregating important concepts and literature that can help future practical studies. Social implications Society will also benefit from this study in terms of the new knowledge that has been generated. Members of society will then be in a position to demand products and services that are a result of innovation and informed decision making. Originality/value Although this paper is largely based on literature, the conclusions reached are those of the authors. A close assessment of the literature in BI and the tourism industry was done, resulting in the conclusions reached by the authors

Business · Business Intelligence · Business model · Economics · Industrial organization · Knowledge management · Political science · Productivity · Tourism · Big Data and Business Intelligence · Competitive and Knowledge Intelligence · Computer Science · Digital Marketing and Social Media · Engineering · Marketing

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