Artificial intelligence (AI) applied in Tourism: A Bibliometric review

Location

Gran Canaria

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Attend the conference at Gran Canaria in person.

Type of Submission

Paper Presentation

Short Abstract

This paper is to examine the production of artificial intelligence (AI) in Tourism using bibliometric analysis and VOSviewer. The adoption of artificial intelligence should be an opportunity to develop robotic applications that can help in travel and tourism of providing security and comforting services in (concierge, checkin in and out of hotel rooms, housekeeping, food and other service tasks) despite the concern of the past over job losses or the confidentiality of data privacy. However, the research on robots has been extremely limited (Ivanov et al. 2017). The adoption of social robots is not optimistic, mostly due to the tourism industry´s desire to maintain high-touch amenities (Zeng et al., 2020). Similarly, the application of artificial intelligence in travel, tourism and hospitality companies has received some, although not sufficient attention by scholars (Borràs, Moreno & Valls, 2014).

Findings can prove useful to academic practitioners to help their understanding of artificial intelligence applied in tourism industry research, identify the context and analyze in development of the concept, consequences and opportunities.

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Artificial intelligence (AI) applied in Tourism: A Bibliometric review

Gran Canaria

This paper is to examine the production of artificial intelligence (AI) in Tourism using bibliometric analysis and VOSviewer. The adoption of artificial intelligence should be an opportunity to develop robotic applications that can help in travel and tourism of providing security and comforting services in (concierge, checkin in and out of hotel rooms, housekeeping, food and other service tasks) despite the concern of the past over job losses or the confidentiality of data privacy. However, the research on robots has been extremely limited (Ivanov et al. 2017). The adoption of social robots is not optimistic, mostly due to the tourism industry´s desire to maintain high-touch amenities (Zeng et al., 2020). Similarly, the application of artificial intelligence in travel, tourism and hospitality companies has received some, although not sufficient attention by scholars (Borràs, Moreno & Valls, 2014).

Findings can prove useful to academic practitioners to help their understanding of artificial intelligence applied in tourism industry research, identify the context and analyze in development of the concept, consequences and opportunities.

https://docs.lib.purdue.edu/itsa/ITSA2022/ITSA2022/8