A FUNDAMENTAL INSIGHT OVER THE CONSEQUENCES OF ARTIFICIAL INTELLIGENCE ON THE TOURISM INDUSTRY

Diana DUMITRU

Abstract


The paper aims to analyse the importance of artificial intelligence systems and how they contribute to the development of the tourism industry.In the tourism industry, as in all other industries, Artificial Intelligence (AI) is becoming an increasingly important part of the processes, offering an alternative or, even better, a variant of continuity and co-working in the tourism sector.The goal of this article is to emphasize the contribution that AI brought to the tourism sector and how the integration of multiple technologies has enhanced customer experiences and services in the travel industry. The study also focuses on the anticipated changes and challenges in tourism in the future.The current perspective examines the use and function of AI using examples from the relevant industries as well as related theory. The various technologies that are being utilized and will be employed in the future are highlighted in the current study.

Keywords


Artificial Intelligence; tourism; innovation

References


Anurag (2018), “4 Emerging trends of artificial intelligence in travel”, available at: www.newgenapps.com/blog/artificial-intelligence-in-travel-emerging-trends (accessed 5 September 2019).

Azis, N.A., Hikmah, R.M., Tjahja, T.V. and Nugroho, A.S. (2011), “Evaluation of text-to-speech synthesizer for indonesian language using semantically unpredictable sentences test: indoTTS, eSpeak, and google translate TTS”, 2011 International Conference on Advanced Computer Science and Information Systems, pp. 237-242.

Beerli, A. and Martin, J.D. (2004), “Factors influencing destination image”, Annals of Tourism Research, Vol. 31 No. 3, pp. 657-681.

Bowyer, K.W. (2004), “Face recognition technology: security versus privacy”, IEEE Technology and Society Magazine, Vol. 23 No. 1, pp. 9-19.

Chang, H.-L. and Yang, C.H. (2008), “Do airline self-service check-in kiosks meet the needs of passengers?”, Tourism Management, Vol. 29 No. 5, pp. 980-993.

Dirican, C. (2015), “The impacts of robotics, artificial intelligence on business and economics”, Procedia-Social and Behavioral Sciences, Vol. 195, pp. 564-573.

Guttentag, D.A. (2010), “Virtual reality: applications and implications for tourism”, Tourism Management, Vol. 31 No. 5, pp. 637-651.

Hallo, J.C., Beeco, J.A., Goetcheus, C., McGee, J., McGehee, N.G. and Norman, W.C. (2012), “GPS as a method for assessing spatial and temporal use distributions of nature-based tourists”, Journal of Travel Research, Vol. 51 No. 5, pp. 591-606.

Issa, H., Sun, T. and Vasarhelyi, M.A. (2016), “Research ideas for artificial intelligence in auditing: the formalization of audit and workforce supplementation”, Journal of Emerging Technologies in Accounting, Vol. 13 No. 2, pp. 1-20.

Ivanov, S. and Webster, C. (2019), “Perceived appropriateness and intention to use service robots in tourism”, Information and Communication Technologies in Tourism 2019, Springer, Cham, pp. 237-248.

Ivanov, S. and Webster, C. (2017), “Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies – a cost-benefit analysis”, International Scientific Conference Contemporary tourism – traditions and innovations, 19-21 October, Sofia University.

Jung, T., Tom Dieck, M.C., Lee, H. and Chung, N. (2016), “Effects of virtual reality and augmented reality on visitor experiences in museum”, in Inversini A. and Schegg R. (Eds), Information and Communication Technologies in Tourism 2016, Springer, Cham.

Jung, T., Tom Dieck, M.C., Moorhouse, N. and Tom Dieck, D. (2017), “Tourists’ experience of virtual reality applications”, 2017 IEEE International Conference on Consumer Electronics (ICCE), IEEE.

Kaushik, N., Kaushik, J., Sharma, P. and Rani, S. (2010), “Factors influencing choice of tourist destinations: a study of North India”, IUP Journal of Brand Management, Vol 7 Nos 1/2, pp. 116-132.

Kim, J. and Hardin, A. (2010), “The impact of virtual worlds on word-of-mouth: improving social networking and servicescape in the hospitality industry”, Journal of Hospitality Marketing & Management, Vol. 19 No. 7, pp. 735-753.

Kim, T., Kim, M.C., Moon, G. and Chang, K. (2014), “Technology-based self-service and its impact on customer productivity”, Services Marketing Quarterly, Vol. 35 No. 3, pp. 255-269.

Kumar, R., Li, A. and Wang, W. (2018), “Learning and optimizing through dynamic pricing”, Journal of Revenue and Pricing Management, Vol. 17 No. 2, pp. 63-77.

Kumar, V.M., Keerthana, A., Madhumitha, M., Valliammai, S. and Vinithasri, V. (2016), “Sanative chatbot for health seekers”, International Journal of Engineering and Computer Science, Vol. 5 No. 3, pp. 16022-16025.

Lai, Hung, 2018 (Lai WC, Hung WH (2018) A framework of cloud and AI based intelligent hotel. In: Proceedings of the 18th international conference on electronic business, ICEB, Guilin, 2–6 Dec, pp 36–43).

Laurent, P. Chollet, T. and Herzberg, E. (2015), “Intelligent automation entering the business world”, available at: www2.deloitte.com/content/dam/Deloitte/lu/Documents/operations/lu-intelligent-automationbusiness-world.pdf (accessed 5 March 2018).

Lommatzsch, A. (2018), “A next generation Chatbot-Framework for the public administration”, International Conference on Innovations for Community Services, Springer.

Ma, D. Lin, Q. and Zhang, T. (2000), “Mobile camera based text detection and translation”, available at: https://stacks.stanford.edu/file/druid:my512gb2187/Ma_Lin_Zhang_Mobile_text_recognition_and_translation.pdf (accessed 19th May 2023).

Murphy, J., Hofacker, C. and Gretzel, U. (2017), “Dawning of the age of robots in hospitality and tourism: challenges for teaching and research”, European Journal of Tourism Research, Vol. 15, pp. 104-111.

Nagaraj, S. (2019), “AI enabled marketing: what is it all about?”, International Journal of Research in Commerce, Economics and Management, Vol. 8 No. 6, pp. 501-518.

Nagaraj, S. (2020), “Marketing analytics for customer engagement: a viewpoint”, International Journal of Information Systems and Social Change (IJISSC), Vol. 11 No. 2, pp. 41-55.

Patel, V. (2018), “Airport passenger processing technology: a biometric airport journey”, available at: https://commons.erau.edu/edt/385/ (accessed 5 September 2019).

Reddy, R. (2006), “Robotics and intelligent systems in support of society”, IEEE Intelligent Systems, Vol. 21 No. 3, pp. 24-31.

Russell, S. and Norvig, P. (2016, Artifficial Intelligence: A Modern Approach, Pearson, New York, p. 4.).

Samala, N., Katkam, B.S., Bellamkonda, R.S. and Rodriguez, R.V. (2022), "Impact of AI and robotics in the tourism sector: a critical insight", Journal of Tourism Futures, Vol. 8 No. 1, pp. 73-87. https://doi.org/10.1108/JTF-07-2019-0065

Seyidov, J. and Adomaitienė, R. (2016), “Factors influencing local tourists’ decision-making on choosing a destination: a case of Azerbaijan”, Ekonomika, Vol. 95 No. 3, pp. 112-127.

Sharma, D. (2016), “Enhancing customer experience using technological innovations: a study of the Indian hotel industry”, Worldwide Hospitality and Tourism Themes, Vol. 8 No. 4, pp. 469-480.

Tatwany, L. and Ouertani, H.C. (2017), “A review on using augmented reality in text translation”, 2017 6th International Conference on Information and Communication Technology and Accessibility (ICTA), IEEE.

Wei, W. (2019), “Research progress on virtual reality (VR) and augmented reality (AR) in tourism and hospitality: a critical review of publications from 2000 to 2018”, Journal of Hospitality and Tourism Technology, Vol. 10 No. 4.

Yang, L., Henthorne, T.L. and George, B. (2020), “Artificial intelligence and robotics technology in the hospitality industry: Current applications and future trends”, Digital Transformation in Business and Society, Springer, pp. 211-228.


Full Text: PDF



Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.