Artificial Intelligence Tools for Smart Tourism Development

Gajdošík, Tomáš; Marciš, Matúš

doi:10.1007/978-3-030-19810-7_39

Cited by 34 publications

(29 citation statements)

References 13 publications

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“…AI techniques allow tourism businesses to be leaders (Brougham and Haar, 2018). It helps tourism service providers understand tourist's needs, behaviors, choices, budget and travel preferences, and provide personalized service and product (Zsarnoczky, 2017;Gajdosik and Marcis, 2019). The adoption of AI has a crucial role in achieving tourist satisfaction and making travel easier, in addition to making tourism processes more efficient, improve productivity, and offer positive tourists experience (Chace, 2016;Kazak and Buchatskiy, 2017;Krogue et al, 2017).…”

Section: P a G Ementioning

confidence: 99%

“…If the tourist publishes any picture, image, or text on Instagram or Facebook, or visit webpages, this can provide information concerning the tourist's interests and preferences (Ivanov and Webster, 2017;Navio-Maroc et al, 2018;Kazak et al, 2020). For example, Metis is a type of AI platform that can assist travel agents to explore customers' feedback through reviews and surveys, evaluate performance, and identify what suits the tourists' needs (Gajdosik and Marcis, 2019).…”

Section: Artificial Intelligence In Tourismmentioning

confidence: 99%

“…It applies Hadoop to save and process web registration data, SQL servers to cluster data, Hive to classify data and insert it into tables, and ML to enhance the site experience. Such platforms, which apply ML, help in classifying tourists' reviews, this classification helps in reading tourists' reviews, and scores to what extent this review is helpful, accordingly decide whether the review would be refused, or accepted and published (Gajdosik and Marcis, 2019). Booking.com has already launched a pilot platform to offer several choices and opportunities to tourists, to seek within different tourism companies and hotels across different tourism destinations (Samara, 2017).…”

Section: Artificial Intelligence In Tourismmentioning

confidence: 99%

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Artificial Intelligence in Egyptian Tourism Companies: Implementation and Perception

Gaafar

Allah²

2020

Journal of Association of Arab Universities for Tourism and Hos

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Artificial intelligence (AI) is considered one of the most important innovative technology. AI has been used in several industries and has already accomplished notable impacts. The tourism industry is one of several sectors that is affected by AI tools; chatbots, personalized service recommendations, smart solutions are used in travel agencies. This paper aims to explore the implementation of AI techniques in the Egyptian tourism companies and investigate the employees' perceptions towards using AI tools in tourism operations. This paper applies the quantitative approach; an online questionnaire was distributed to tourism companies, only 320 responses were valid for statistical analysis. Concerning applying AI tools in tourism operations, the results revealed significant differences among tourism companies which provide full tourism services. Regarding the size of tourism companies, large and medium-scale tourism companies apply AI techniques more than small and micro-scale ones. This research found two fundamental employees' views of applying AI: advantages of AI (enthusiastic) and disadvantages of AI (suspicious). From a managerial standpoint, this research shows the AI techniques that are applied in tourism as well as identifies the importance of their implementation, which may help managers to draw policies and strategies to improve their technological infrastructure and skills, as well as apply the most beneficial AI tools. This, in turn, enhances their performance and saves time and money.

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Section: P a G Ementioning

confidence: 99%

Section: Artificial Intelligence In Tourismmentioning

confidence: 99%

Section: Artificial Intelligence In Tourismmentioning

confidence: 99%

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Artificial Intelligence in Egyptian Tourism Companies: Implementation and Perception

Gaafar

Allah²

2020

Journal of Association of Arab Universities for Tourism and Hos

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“…In consideration of advances in ICTs, Artificial Intelligence (AI) is regarded as the next stage of tourism industry (Bowen & Whalen, 2017;Gajdošík & Marciš, 2019;Kazak et al, 2020). AI is known for its sophisticated computing capabilities as it can deal with complex relations and problems among different concepts (Pannu, 2015) and can easily work with a big amount of data (Inanc-Demir & Kozak, 2019).…”

Section: Introduction "I Believe There Is No Deep Difference Between What Can Be Achieved By a Biological Brain Andmentioning

confidence: 99%

“…Although AI promises entirely alternative solutions for potential and prospective issues of tourism, with its advanced computing and problemsolving abilities, there is a lack of academic research on AI in context of tourism (Gajdošík & Marciš, 2019;Zlatanov & Popesku, 2019). Therefore, this study adopted a bibliometric method to evaluate the progress, research themes, and statistical data of AI in tourism field within the scope of data gathered from Scopus database.…”

Section: Introduction "I Believe There Is No Deep Difference Between What Can Be Achieved By a Biological Brain Andmentioning

confidence: 99%

Artificial Intelligence in Tourism: A Review and Bibliometrics Research

Kirtil¹,

Aşkun²

2021

Advances in Hospitality and Tourism Research (AHTR)

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Artificial Intelligence (AI) came up as an ambiguous concept from computer sciences and now it is being used in many areas of our life. It has stimulated academia's interest due to its alternative insights into complex problems. Therefore, a bibliometric method was applied in this study to observe the progress of AI in the tourism field. A total of 102 papers were collected from Scopus database. Key factors such as most productive authors, collaborations and institutions were identified, and research hotspots were determined using co-occurrence network and most common author keywords. Progress of AI was visualized with thematic evolution analysis. Findings indicate that there is a progressive interest in AI after 2017, and average citations signify that papers are highly cited. Since this is the first study conducting a bibliometric on AI in the tourism context, it could be considered useful for academics and tourism professionals as it provides general overview of AI, demonstrates research trends and popular papers.

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