Artificial intelligence in the tourism sphere

Kazak, Anatoliy N.; Chetyrbok, Petr V.; Oleinikov, N. N.

doi:10.1088/1755-1315/421/4/042020

Cited by 41 publications

(27 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this cluster, the relationship between 34 different concepts is shown, among which the use of marketing stands out [16]; the quality of the service [67]; and a very interesting topic where the use of Information, Communication Technology, and Big Data is promoted [68,69]. Taking into account the need for information at the right time, the Big Data approach [58,68,70,71] and the utilization of some Artificial Intelligence techniques [72,73] are able to effectively and efficiently manage and analyze the vast amount of customer data [3]. This will bring as a benefit that customers are increasingly loyal to firms [60] and communication channels between organizations and customers are more efficient [74], and therefore a more effective client centrality [75].…”

Section: Keyword and Clusters Analysismentioning

confidence: 99%

Mapping Research on Customer Centricity and Sustainable Organizations

et al. 2020

View full text Add to dashboard Cite

Firms are increasingly organized around the client. At the same time, there is customer pressure on green and sustainable organizations. The purpose of this paper is to map the current state of the research in the domain of customer-centric organizations from a sustainability perspective. We conducted a bibliometric analysis from published documents between 1990 and 31 July 2020. Key findings indicate that research on customer centricity and sustainability has increased in recent years, finding some trends and that the topic is structured into three clusters: (1) Sustainable Development, Customer-Centric Perspective, and Sales; (2) Sustainability and Commerce; and (3) Customer-Centricity and Sustainability Trends. The implementation of a bibliometric methodology and the focus given to the definition, the relationships, and the evolution of the three main clusters within the topic are the characteristics that differentiate our study from other publications or reviews in the field of research. In addition, all the documents that refer to practical cases were identified, and the main ones were analyzed, to provide highlights to practitioners who aim to deploy the customer centricity approach in their firms from a sustainable perspective and seeking that the corporate purpose is followed.

show abstract

Section: Keyword and Clusters Analysismentioning

confidence: 99%

Mapping Research on Customer Centricity and Sustainable Organizations

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Taking into account that need for information at the right time, the Big Data approach [56,60,62,63] and the utilization of some Artificial Intelligence techniques [64,65] are able to effectively and efficiently manage and analyze the vast amount of customer data [3]. This will bring as a benefit that customers are increasingly loyal to firms [58] and communication channels between organizations and customers are more efficient [66], and therefore a more effective client centrality [67].…”

Section: Keyword Analysismentioning

confidence: 99%

Mapping Research on Customer Centricity and Sustainable Organizations

Pardo-Jaramillo¹,

Muñoz-Villamizar²,

Soto³

et al. 2020

Preprint

View full text Add to dashboard Cite

Firms are increasingly organized around the client. At the same time, there is customer pressure on green and sustainable organizations. The purpose of this paper is to map the current state of the research in the domain of customer-centric organizations from a sustainable perspective. We conducted a bibliometric analysis from published documents between 1990 and 2020. Key findings indicate that research on customer centricity and sustainability has increased in recent years and that the topic is structured into 3 clusters: (1) Sustainability; (2) Customer-Centric Perspective, and Sustainable Development; and (3) Customer Experience and Sales. Moreover, new concepts and technologies have been introduced during the last three years. The implementation of a bibliometric methodology and the focus given to the definition, the relationships, and the evolution of the three main clusters within the topic are the characteristics that differentiate our study from other publications or reviews in the field of research. This paper is beneficial for practitioners who aim to deploy the customer centricity approach in their firms from a sustainable perspective.

show abstract

“…NLP can be used to detect patterns and tendencies of tourists using social networks. 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%

“…Several numbers of tourism companies worldwide use Chatbots 2 to assist their customers to choose from a large number of offers and packages (Kazak et al, 2020). Chatbots are the type of online interaction between tourists and service providers, helping tourists to communicate with digital assistants, utilizing neural language to answer customers' inquiries and complete reservations (Alexis, 2017).…”

Section: Artificial Intelligence In Tourismmentioning

confidence: 99%

“…So, they must give great concern to the application of the latest technology and apply AI techniques to increase revenues, organize operations, enhance productivity and improve efficiency (Makridakis, 2017; Talwar et al, 2017;Davenport, 2018). Subsequently, they can compete professionally in the tourism field (Kazak et al, 2020).…”

Section: The Importance Of Ai In Tourismmentioning

confidence: 99%

See 1 more Smart Citation

Artificial Intelligence in Egyptian Tourism Companies: Implementation and Perception

Gaafar

Allah²

2020

Journal of Association of Arab Universities for Tourism and Hos

View full text Add to dashboard Cite

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.

show abstract

Artificial intelligence in the tourism sphere

Cited by 41 publications

References 2 publications

Mapping Research on Customer Centricity and Sustainable Organizations

Mapping Research on Customer Centricity and Sustainable Organizations

Mapping Research on Customer Centricity and Sustainable Organizations

Artificial Intelligence in Egyptian Tourism Companies: Implementation and Perception

Contact Info

Product

Resources

About