Impact of Artificial Intelligence in Travel, Tourism, and Hospitality

Bulchand‐Gidumal, Jacques

doi:10.1007/978-3-030-05324-6_110-1

Cited by 37 publications

(21 citation statements)

References 33 publications

(48 reference statements)

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“…It's possible that a chatbot or voice assistant will be the one to help facilitate the communication with the user. Smart tourism ecosystems are developed in places when these sophisticated technologies are applied alongside other social and organisational elements [7]. Figure below illustrates the relationship between the AI systems and tourism industry.…”

Section: Literature Review the Role Of Ai Systems In Tourism Industrymentioning

confidence: 99%

A Comprehensive Overview of World Mapping Analysis Research Trends on Impact of Artificial Intelligence in Tourism from 2000 to 2022: A Literature Review and Bibliometric Analysis

Rashid¹,

Aziz²

2022

ICRRD Quality Index Research Journal

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Artificial Intelligence (AI) has revolutionised several industries across the world. The objective of this article is to present a literature review and bibliometric analysis of the impact of AI in tourism around the world from 2000 to 2022. A textual query on Scopus (245 documents) and WoS (100 documents) using the term ((“Impact” OR “effect”) AND (“artificial intelligence” OR “AI”) AND (“tourism”)) was performed on 23 June 2022 retrieved 345 documents for in-depth analysis. Rstudio 4.2.0 and biblioshiny for bibliometrix were used to analyse research trends. According to the findings, annual scientific production in Scopus and Web of Science databases has increased from 2016 to 2021. The most popular journals in Scopus are Advances in Intelligent Systems and Computing meanwhile Sustainability journals in Web of Science. In Scopus, the most frequently used author’s keywords and keyword plus are “artificial intelligence” meanwhile in Web of Science showed “artificial intelligence” and “impact”. Li X (Scopus) and Bai B (WoS) are the most popular authors. China produced the most scientific articles in Scopus and Web of Science. In Scopus and Web of Science, between India and France, between China and United Kingdom have among of the world’s highest participation and collaboration.

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Section: Literature Review the Role Of Ai Systems In Tourism Industrymentioning

confidence: 99%

A Comprehensive Overview of World Mapping Analysis Research Trends on Impact of Artificial Intelligence in Tourism from 2000 to 2022: A Literature Review and Bibliometric Analysis

Rashid¹,

Aziz²

2022

ICRRD Quality Index Research Journal

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“…AI karakterizira niz sposobnosti: sposobnost razumijevanja okoline i pojava koje se događaju, sposobnost iskorištavanja prednosti prošlih iskustava i sposobnost kombiniranje raspoloživog znanja prikladno za odgovoriti na novi izazov (Rudas i Fodor, 2008). U području turizma i putovanja AI se najčešće koristi u sustavu za personalizaciju usluge, preporuke, osobnog virtualnog asistenta, predviđanje i procjene, prijevod jezika, prepoznavanja glasa, obradu prirodnog jezika te u robotici (Bulchand-Gidumal, 2020). Uloga umjetna inteligencija sve je važnije u području putovanja i turizma (Chi, Denton, Gursoy, 2020;Smrutirekha, Sahoo i Karki, 2023).…”

Section: Umjetna Inteligencijaunclassified

Personalizacija Usluga Kroz Nove Tehnologije

Mušanović¹,

Šimić²

2022

Hotelska Kuća

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Svrha – Svrha rada je predstaviti sustav koji uči i unaprjeđuje sam sebe prateći odluke gosta i trendove na tržištu te upoznaje interese, želje i navike gostiju. Obrada teme – Snažan napredak digitalne tehnologije, u posljednjih 25 godina, doveo je do novih paradigmi u poslovanju. Hotelijerstvo je djelatnost u kojoj su disruptivne tehnologije poput umjetne inteligencije, strojnog učenja i virtualnih agenata (chatbotovi) počeli mijenjati poslovanje u obliku obavljanja jednostavnijih zadataka korisničke službe, pružanja jednostavnog iskustva prijave u hotel, upravljanja ‘pametnim’ hotelskim sobama koje se mogu prilagoditi, i predviđanja individualnih zahtjeva gostiju. Zahvaljujući sustavima automatizirane segmentacije hotelijerima je omogućeno bolje razumijevanje interesa i želja gostiju te pružanje visoko personalizirane hotelske usluge jačajući istovremeno prodaju smještajnih kapaciteta te podizanje novčane vrijednosti svakog gosta, ali i same sobe. Zaključci – Sustav automatizirane segmentacije gostiju i personalizacije usluga moguće je implementirati u sve faze putovanja gosta. Pri rezervaciji smještaja, sustavi nude gostima dodatne, primamljive, personalizirane te ne nametljive usluge za nadogradnju sobe u skladu s njihovim interesima. Tijekom boravka se gostima nude usluge kroz različite kanale (na IPTVu, kroz osoblje na recepciji, conciergu, u restoranu, kroz Wi-Fi landing page, kroz sustav SMS poruka, kroz mobilne aplikacije) ovisno o tome koji kanal donosi najveću dobit. Nakon odlaska gosta sustav šalje email zahvale kako bi se iskoristio dojam nedavnog boravka te šalje ponuda za iduću sezonu.

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“…In recent times SR can be found in the hospitality industries to achieve customer satisfaction. Bulchand-Gidumal (2020) argued that SR could be used along with staff for the guests in the hospitality sector to achieve operational excellence and increase labour productivity. There had been high operating costs for the service industries, especially in hotels.…”

Section: Service Robots In Hospitality Industrymentioning

confidence: 99%

Service robots are an option for contactless services due to the COVID-19 pandemic in the hotels

et al. 2021

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The development of robotics in the current COVID-19 pandemic scenario can change the face of the industries. Robots are becoming more prominent in the hospitality industry. In this scenario, the usage of service robots for hotels is the best option. This study is performed using TAM and TRI theories. The constructs selected for the study are perceived ease of use, perceived usefulness, attitudes, behavioural intention, discomfort, insecurity, and trust. Survey-based research is carried out with the help of a questionnaire. The target population are the employees working in the hotels. Ten hypotheses are proposed for the study. This study highlights the acceptance of service robots in the hotels of India. Out of ten proposed hypothesis, five hypotheses were accepted, and the rest were rejected. For data analysis, structural equation modelling in AMOS 20.0 was carried out. This study will help the managers and the top management in the adoption of service robots.

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Impact of Artificial Intelligence in Travel, Tourism, and Hospitality

Cited by 37 publications

References 33 publications

A Comprehensive Overview of World Mapping Analysis Research Trends on Impact of Artificial Intelligence in Tourism from 2000 to 2022: A Literature Review and Bibliometric Analysis

A Comprehensive Overview of World Mapping Analysis Research Trends on Impact of Artificial Intelligence in Tourism from 2000 to 2022: A Literature Review and Bibliometric Analysis

Personalizacija Usluga Kroz Nove Tehnologije

Service robots are an option for contactless services due to the COVID-19 pandemic in the hotels

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