Artificial Intelligence (AI) In Hotel Industry and Future Development: an Extensive In-Depth Literature Review and Bibliometric Analysis

Authors

Keywords:

artificial intelligence, hotel industry, in-depth literature review, bibliometric analysis, content analysis.

Abstract

21st century the digitalization and modernization are taken over all the industry. Artificial Intelligence enhances the performance of industry and make a better experience and smarter the businesses.  This study identifies the role and challenges of artificial intelligence in the hotel industry, as depicted in the recent literature review. An in-depth literature review was conducted between 2019-2022 published articles. In this study we focused on 34 articles, critically analyzed and identified through the content analysis including themes “artificial intelligence” and “hotel industry”. The study provides the bibliometric analysis of the author, keywords, journals, and citation analysis. The findings of the study are to provide future developments and challenges of artificial intelligence in the hotel industry. It also provided novel models to the small hotel through using of AI.

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References

Basri, W. (2020). Examining the impact of artificial intelligence (Ai)-assisted social media marketing on the performance of small and medium enterprises: Toward effective business management in the saudi arabian context. International Journal of Computational Intelligence Systems, 13(1), 142–152. https://doi.org/10.2991/ijcis.d.200127.002

Bowen, J., & Morosan, C. (2018). Beware hospitality industry: the robots are coming. In Worldwide Hospitality and Tourism Themes (Vol. 10, Issue 6, pp. 726–733). Emerald Group Publishing Ltd. https://doi.org/10.1108/WHATT-07-2018-0045

Chi, O. H., Denton, G., & Gursoy, D. (2020). Artificially intelligent device use in service delivery: a systematic review, synthesis, and research agenda. Journal of Hospitality Marketing and Management, 29(7), 757–786. https://doi.org/10.1080/19368623.2020.1721394

Chopra, K. (2019). Indian shopper motivation to use artificial intelligence: Generating Vroom’s expectancy theory of motivation using grounded theory approach. International Journal of Retail and Distribution Management, 47(3), 331–347. https://doi.org/10.1108/IJRDM-11-2018-0251

Doborjeh, Z., Hemmington, N., Doborjeh, M., & Kasabov, N. (2022). Artificial intelligence: a systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34(3), 1154–1176. https://doi.org/10.1108/IJCHM-06-2021-0767

Guerra-Montenegro, J., Sanchez-Medina, J., Laña, I., Sanchez-Rodriguez, D., Alonso-Gonzalez, I., & del Ser, J. (2021). Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges. In Applied Soft Computing (Vol. 102). Elsevier Ltd. https://doi.org/10.1016/j.asoc.2021.107082

Hussein Al-shami, S. A., Mamun, A. al, Ahmed, E. M., & Rashid, N. (2021). Artificial intelligent towards hotels’ competitive advantage. An exploratory study from the UAE. Foresight. https://doi.org/10.1108/FS-01-2021-0014

Kim, S. (Sam), Kim, J., Badu-Baiden, F., Giroux, M., & Choi, Y. (2021a). Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic. International Journal of Hospitality Management, 93. https://doi.org/10.1016/j.ijhm.2020.102795

Kim, S. (Sam), Kim, J., Badu-Baiden, F., Giroux, M., & Choi, Y. (2021b). Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic. International Journal of Hospitality Management, 93. https://doi.org/10.1016/j.ijhm.2020.102795

Koo, B., Curtis, C., & Ryan, B. (2021). Examining the impact of artificial intelligence on hotel employees through job insecurity perspectives. International Journal of Hospitality Management, 95. https://doi.org/10.1016/j.ijhm.2020.102763

Lau, A. (2020). New technologies used in COVID-19 for business survival: Insights from the Hotel Sector in China. Information Technology and Tourism, 22(4), 497–504. https://doi.org/10.1007/s40558-020-00193-z

Law, R., & Jogaratnam, G. (2005). A study of hotel information technology applications. International Journal of Contemporary Hospitality Management, 17(2), 170–180. https://doi.org/10.1108/09596110510582369

Lee, W. J., Kwag, S. il, & Ko, Y. D. (2020). Optimal capacity and operation design of a robot logistics system for the hotel industry. Tourism Management, 76. https://doi.org/10.1016/j.tourman.2019.103971

Leonidis, A., Korozi, M., Margetis, G., Grammenos, D., & Stephanidis, C. (2013). LNCS 8309 - An Intelligent Hotel Room. In LNCS (Vol. 8309).

Li, J. (Justin), Bonn, M. A., & Ye, B. H. (2019). Hotel employee’s artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate. Tourism Management, 73, 172–181. https://doi.org/10.1016/j.tourman.2019.02.006

Limna, P. (n.d.). Artificial Intelligence (AI) in the Hospitality Industry: A Review Article Cite this paper. https://doi.org/10.25147/ijcsr.2017.001.1.103

Mingotto, E., Montaguti, F., & Tamma, M. (2021a). Challenges in re-designing operations and jobs to embody AI and robotics in services. Findings from a case in the hospitality industry. Electronic Markets, 31(3), 493–510. https://doi.org/10.1007/s12525-020-00439-y

Mingotto, E., Montaguti, F., & Tamma, M. (2021b). Challenges in re-designing operations and jobs to embody AI and robotics in services. Findings from a case in the hospitality industry. Electronic Markets, 31(3), 493–510. https://doi.org/10.1007/s12525-020-00439-y

Nguyen, T. M., Quach, S., & Thaichon, P. (2022). The effect of AI quality on customer experience and brand relationship. Journal of Consumer Behaviour, 21(3), 481–493. https://doi.org/10.1002/cb.1974

Parvez, M. O. (2020). Use of machine learning technology for tourist and organizational services: high-tech innovation in the hospitality industry. Journal of Tourism Futures, 7(2), 240–244. https://doi.org/10.1108/JTF-09-2019-0083

Pelet, J. E., Lick, E., & Taieb, B. (2019). Internet of Things and Artificial Intelligence in the Hotel Industry: Which Opportunities and Threats for Sensory Marketing? Springer Proceedings in Business and Economics, 154–164. https://doi.org/10.1007/978-3-030-18911-2_20

Prentice, C., Dominique Lopes, S., & Wang, X. (2020a). Emotional intelligence or artificial intelligence– an employee perspective. Journal of Hospitality Marketing and Management, 29(4), 377–403. https://doi.org/10.1080/19368623.2019.1647124

Prentice, C., Dominique Lopes, S., & Wang, X. (2020b). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing and Management, 29(7), 739–756. https://doi.org/10.1080/19368623.2020.1722304

Reis, J., Melão, N., Salvadorinho, J., Soares, B., & Rosete, A. (2020). Service robots in the hospitality industry: The case of Henn-na hotel, Japan. Technology in Society, 63. https://doi.org/10.1016/j.techsoc.2020.101423

Rosete, A., Soares, B., Salvadorinho, J., Reis, J., & Amorim, M. (2020). Service Robots in the Hospitality Industry: An Exploratory Literature Review. Lecture Notes in Business Information Processing, 377 LNBIP, 174–186. https://doi.org/10.1007/978-3-030-38724-2_13

Samara, D., Magnisalis, I., & Peristeras, V. (2020). Artificial intelligence and big data in tourism: a systematic literature review. In Journal of Hospitality and Tourism Technology (Vol. 11, Issue 2, pp. 343–367). Emerald Group Holdings Ltd. https://doi.org/10.1108/JHTT-12-2018-0118

Sayed, E., Yasin, A., Elsayed, A., Hesham, A., Saad, E., & Qoura, O. E. (n.d.). Mapping The Landscape as Artificial Intelligence (AI) Applications in Cairo hotels.

Shahini, R. (2020). Business Intelligence in the Hotel Industry.

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Published

16.12.2022

How to Cite

R. Manigandan, & Dr. Naga Venkata Raghuram. (2022). Artificial Intelligence (AI) In Hotel Industry and Future Development: an Extensive In-Depth Literature Review and Bibliometric Analysis. International Journal of Intelligent Systems and Applications in Engineering, 10(4), 664–676. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2338

Issue

Vol. 10 No. 4 (2022)

Section

Research Article

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