Poster

Weerasinghe, Maheshya; Nisansala, Aruni; Sandaruwan, Damitha; Kodikara, Nihal; Keppitiyagama, Chamath; Dias, Kapila; Dammika, Nuwan; Buddhika, Ishan; Perera, Chamal

doi:10.1145/2938559.2948861

Cited by 2 publications

(1 citation statement)

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“…A case where VR adds value to tourism and enriches consumers' experience is illustrated in (Okura et al, 2012) where an augmented telepresence system which enables virtual tourism beyond time and space is presented. "virtual eye," is another case of virtual tourism, a platform introduced in (Weerasinghe et al, 2016) as a smarter mode of interaction to virtual environments.…”

Section: Providementioning

confidence: 99%

Artificial intelligence and big data in tourism: a systematic literature review

Samara

Magnisalis

Peristeras

2020

JHTT

161

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Purpose This paper aims to research, identify and discuss the benefits and overall role of big data and artificial intelligence (BDAI) in the tourism sector, as this is depicted in recent literature. Design/methodology/approach A systematic literature review was conducted under the McKinsey’s Global Institute (Talwar and Koury, 2017) methodological perspective that identifies the four ways (i.e. project, produce, promote and provide) in which BDAI creates value. The authors enhanced this analysis methodology by depicting relevant challenges as well. Findings The findings imply that BDAI create value for the tourism sector through appropriately identified disseminations. The benefits of adopting BDAI strategies include increased efficiency, productivity and profitability for tourism suppliers combined with an extremely rich and personalized experience for travellers. The authors conclude that challenges can be bypassed by adopting a BDAI strategy. Such an adoption will stand critical for the competitiveness and resilience of existing established and new players in the tourism sector. Originality/value Besides identifying the benefits that BDAI brings in the tourism sector, the research proposes a guidebook to overcome challenges when introducing such new technologies. The exploration of the BDAI literature brings important implication for managers, academicians and consumers. This is the first systematic review in an area and contributes to the broader e-commerce marketing, retailing and e-tourism research.

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Section: Providementioning

confidence: 99%

Artificial intelligence and big data in tourism: a systematic literature review

Samara

Magnisalis

Peristeras

2020

JHTT

161

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Artificial Intelligence (AI) for Tourism Start-Ups

Ghouse,

Chaudhary

2024

Innovative Technologies for Increasing Service Productivity

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This chapter explores the dynamic intersection of artificial intelligence (AI) and the startup landscape within the tourism industry. It investigates how AI has the potential to revolutionize operations, innovation, and services for emerging businesses in tourism. Demonstrating AI's critical role in enhancing the tourism experience—ranging from personalized recommendations and chatbot-driven customer service to pricing optimization and demand forecasting—it showcases innovative solutions from notable startups like DeepL, Fetch.ai, and Lilium. The chapter includes brief case studies illustrating AI applications in tourism and emphasizes the pivotal role of investors in supporting these startups. It concludes by outlining future research directions, addressing strategies for maximizing AI benefits in tourism, managing privacy and security concerns, and navigating the evolving landscape of AI integration in travel.

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Poster

Cited by 2 publications

References 0 publications

Artificial intelligence and big data in tourism: a systematic literature review

Artificial intelligence and big data in tourism: a systematic literature review

Artificial Intelligence (AI) for Tourism Start-Ups

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