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Managing customer knowledge through the use of big data analytics in tourism research

Managing customer knowledge through the use of big data analytics in tourism research The use of big data is growing in relevance and importance in tourism management research. Companies operating in this industry are exploiting big data analytics and developing systems to manage customer knowledge and provide the best service in the right place at the right time. This paper aims to provide a systematic literature review to present issues associated with the use of big data in tourism and identify future research directions on the topic. To achieve this aim, this paper develops a citation network analysis methodology to drive the content analysis and explore the content of 109 selected papers. The findings of this review highlight that although there is an increasing number of contributions on the topic, there are yet some issues that require to be further developed. In particular, the paper identifies research gaps and consequent research questions that represent an agenda for both researchers and practitioners. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Current Issues in Tourism Taylor & Francis

Managing customer knowledge through the use of big data analytics in tourism research

Current Issues in Tourism , Volume 22 (15): 21 – Sep 14, 2019

Managing customer knowledge through the use of big data analytics in tourism research

Current Issues in Tourism , Volume 22 (15): 21 – Sep 14, 2019

Abstract

The use of big data is growing in relevance and importance in tourism management research. Companies operating in this industry are exploiting big data analytics and developing systems to manage customer knowledge and provide the best service in the right place at the right time. This paper aims to provide a systematic literature review to present issues associated with the use of big data in tourism and identify future research directions on the topic. To achieve this aim, this paper develops a citation network analysis methodology to drive the content analysis and explore the content of 109 selected papers. The findings of this review highlight that although there is an increasing number of contributions on the topic, there are yet some issues that require to be further developed. In particular, the paper identifies research gaps and consequent research questions that represent an agenda for both researchers and practitioners.

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References (170)

Publisher
Taylor & Francis
Copyright
© 2019 Informa UK Limited, trading as Taylor & Francis Group
ISSN
1747-7603
eISSN
1368-3500
DOI
10.1080/13683500.2018.1564739
Publisher site
See Article on Publisher Site

Abstract

The use of big data is growing in relevance and importance in tourism management research. Companies operating in this industry are exploiting big data analytics and developing systems to manage customer knowledge and provide the best service in the right place at the right time. This paper aims to provide a systematic literature review to present issues associated with the use of big data in tourism and identify future research directions on the topic. To achieve this aim, this paper develops a citation network analysis methodology to drive the content analysis and explore the content of 109 selected papers. The findings of this review highlight that although there is an increasing number of contributions on the topic, there are yet some issues that require to be further developed. In particular, the paper identifies research gaps and consequent research questions that represent an agenda for both researchers and practitioners.

Journal

Current Issues in TourismTaylor & Francis

Published: Sep 14, 2019

Keywords: Analytics; big data; Citation Network Analysis (CNA); Customer Knowledge Management (CKM); systematic review; tourism management

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