[BibTeX] [RIS]
Leveraging inter-tourists interactions via chatbots to bridge academia, tourism industries and future societies
Tipo de publicação: Artigo
Citação:
Journal: Journal of Tourism Futures
Ano: 2021
Mês: August
URL: https://www.emerald.com/insigh...
DOI: 10.1108/JTF-01-2021-0009
Resumo: Purpose – The tourism and hospitality sectors are experiencing radical innovation boosted by the advancements in Information and Communication Technologies. Increasingly sophisticated chatbots are introducing novel approaches, re-shaping the dynamics among tourists and service providers, and fostering a remarkable behavioral change in the overall sector. Therefore, the objective of this paper is two-folded: (1) to highlight the academic and industrial standing points with respect to the current chatbots designed/deployed in the tourism sector and (2) to develop a proof-of-concept embodying the most prominent opportunities in the tourism sector. Design/methodology/approach – This work elaborates on the outcomes of a Systematic Literature Review (SLR) and a Focus Group (FG) composed of experts from the tourism industry. Moreover, it presents a proof-of-concept relying on the outcomes obtained from both SLR and FG. Eventually, the proof-of-concept has been tested with experts and practitioners of the tourism sector. Findings – Among the findings elicited by this paper, we can mention the quick evolution of chatbot-based solutions, the need for continuous investments, upskilling, system innovation to tackle the eTourism challenges and the shift toward new dimensions (i.e. tourist-to-tourist-to-chatbot and personalized multi-stakeholder systems). In particular, we focus on the need for chatbot-based activity and thematic aggregation for next-generation tourists and service providers. Originality/value – Both academic- and industrial-centered findings have been structured and discussed to foster the practitioners’ future research. Moreover, the proof-of-concept presented in the paper is the first of its kind, which raised considerable interest from both technical and business-planning perspectives.
Palavras-chave: chatbots, Industry focus group, Social chatbots, Tourism academia, Tourism industry, Virtual Assistants
Autores Calvaresi, Davide
Ibrahim, Ahmed
Calbimonte, Jean-Paul
Fragnière, Emmanuel
Schegg, Roland
Schumacher, Michael
Adicionado por: []
Total mark: 0
Anexos
  • 10-1108_JTF-01-2021-0009.pdf
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