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Technological Impacts of AI on Hospitality and Tourism Industry

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Proceedings of International Conference on Data Science and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 551))

Abstract

The importance of technology in the tourism industry is undeniable, especially in the field of tourism. Technology has penetrated the tourism industry, and our contemporaries have not been obliged. From choosing a location to booking hotels and resorts, people can plan their vacation without any hassle. In fact, more than 70% of travelers plan their trips online. Thus, with the introduction of new technologies such as chat-bots, messengers, artificial intelligence, and robots, our tourism business is becoming more important than ever. The growing popularity of the Internet, smart phones, and smart mobile apps added to the development of tourism and allowed the market to rise to an unprecedented level. This paper focuses on the technological impact of AI in the field of hospitality and tourism industry.

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References

  1. Anurag (2018) 4 Emerging trends of artificial intelligence in travel. Available at: www.newgenapps.com/blog/artificial-intelligence-in-travel-emerging-trends. Accessed 5 Sept 2019

  2. Barnes S (2016) Understanding virtual reality in marketing: nature, implications, and potential: implications and potential. Available at: https://ssrn.com/abstract=2909100. Accessed 3 Nov 2016

  3. Beerli A, Martin JD (2004) Factors influencing destination image. Ann Tour Res 31(3):657–681

    Article  Google Scholar 

  4. Boiano S, Borda, A, Gaia G (2019) Participatory innovation and prototyping in the cultural sector: a case study. Proceedings of EVA, London, pp 18–26

    Google Scholar 

  5. Bulanov A (2019) Benefits of the use of machine learning and AI in the travel industry. Available at: https://djangostars.com/blog/benefits-of-the-use-of-machine-learning-and-ai-in-the-travel-industry/. Accessed 2 Sept 2019

  6. Chavre P, Ghotkar A (2016) Scene text extraction using stroke width transform for tourist translator on the android platform. In: 2016 international conference on automatic control and dynamic optimization techniques (ICACDOT), IEEE

    Google Scholar 

  7. Chawla S (2019) 7 Successful applications of AI & machine learning in the travel industry. Available at: https://hackernoon.com/successful-implications-of-ai-machine-learning-in-travel-industry-3040f3e1d48c. Accessed 5 Sept 2019

  8. Dirican C (2015) The impacts of robotics, artificial intelligence on business and economics. Procedia Soc Behav Sci 195:564–573

    Article  Google Scholar 

  9. Gajdošík T, Marciš M (2019) Artificial intelligence tools for smart tourism development. Computer science on-line conference. Springer

    Google Scholar 

  10. Issa H, Sun T, Vasarhelyi MA (2016) Research ideas for artificial intelligence in auditing: the formalization of audit and workforce supplementation. J Emerg Technol Account 13(2):1–20

    Article  Google Scholar 

  11. Ivanov S, 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

    Google Scholar 

  12. Ivanov S, 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, pp 19–21 October, Sofia University

    Google Scholar 

  13. Ivanov SH, Webster C, Berezina K (2017) Adoption of robots and service automation by tourism and hospitality companies. Revista Turismo Desenvolvimento 27(28):1501–1517

    Google Scholar 

  14. Jung T, Tom Dieck MC, Lee, H, Chung N (2016) Effects of virtual reality and augmented reality on visitor experiences in museum. In: Inversini A, Schegg R (eds) Information and communication technologies in tourism 2016. Springer, Cham

    Google Scholar 

  15. Jung T, Tom Dieck MC, Moorhouse N, Tom Dieck D (2017) Tourists’ experience of virtual reality applications. In: 2017 IEEE international conference on consumer electronics (ICCE), IEEE

    Google Scholar 

  16. Kannan P, Bernoff J (2019) The future of customer service is AI-Human collaboration. MIT Sloan Management Review

    Google Scholar 

  17. Kaushik N, Kaushik J, Sharma P, Rani S (2010) Factors influencing choice of tourist destinations: a study of North India. IUP J Brand Manage 7(1/2):116–132

    Google Scholar 

  18. Kim T, Kim MC, Moon G, Chang K (2014) Technology-based self-service and its impact on customer productivity. Serv Mark Q 35(3):255–269

    Google Scholar 

  19. Kumar R, Li A, Wang W (2018) Learning and optimizing through dynamic pricing. J Revenue Pricing Manage 17(2):63–77

    Article  Google Scholar 

  20. Kumar VM, Keerthana A, Madhumitha M, Valliammai S, Vinithasri V (2016) Sanative chatbot for health seekers. Int J Eng Comput Sci 5(3):16022–16025

    Google Scholar 

  21. Leong B (2019) Facial recognition and the future of privacy: I always feel like… somebody’s watching me. Bull At Scientists 75(3):109–115

    Article  Google Scholar 

  22. Nagaraj S (2019) AI enabled marketing: what is it all about? Int J Res Commer Econ Manage 8(6):501–518

    Google Scholar 

  23. Nagaraj S (2020) Marketing analytics for customer engagement: a viewpoint. Int J Inf Syst Soc Change (IJISSC) 11(2):41–55

    Article  Google Scholar 

  24. Nagaraj S, Singh S (2019) Millennial’s engagement with fashion brands: a moderated-mediation model of brand engagement with self-concept, involvement and knowledge. J Fashion Mark Manage Int J 23(1):2–16. https://doi.org/10.1108/JFMM-04-2018-0045

    Article  Google Scholar 

  25. Patel V (2018) Airport passenger processing technology: a biometric airport journey. Available at: https://commons.erau.edu/edt/385/. Accessed 5 Sept 2019

  26. Peranzo P (2019) AI assistant: the future of travel industry with the increase of artificial intelligence. Available at: www.imaginovation.net/blog/the-future-of-travel-with-the-increase-of-ai/. Accessed 5 Sept 2019

  27. Sharma S, Rawal YS, Pal S, Dani R (2022) Fairness, accountability, sustainability, transparency (FAST) of artificial intelligence in terms of hospitality industry. In: Fong S, Dey N, Joshi A (eds) ICT analysis and applications. Lecture notes in networks and systems, vol 314. Springer, Singapore. https://doi.org/10.1007/978-981-16-5655-2_48

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Author information

Authors and Affiliations

  1. Pacific University, Udaipur, Rajasthan, India

    Sunil Sharma

  2. Parul University, Vadodara, Gujarat, India

    Yashwant Singh Rawal

  3. Taxila Business School, Jaipur, Rajasthan, India

    Harvinder Soni

  4. Amity University, Kolkata, India

    Debasish Batabyal

Authors
  1. Sunil Sharma
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  2. Yashwant Singh Rawal
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  3. Harvinder Soni
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  4. Debasish Batabyal
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Corresponding author

Correspondence to Sunil Sharma .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida, India

    Mukesh Saraswat

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

    Chandreyee Chowdhury

  3. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

    Chintan Kumar Mandal

  4. Data Science Institute, University of Technology Sydney, Sydney, NSW, Australia

    Amir H. Gandomi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sharma, S., Rawal, Y.S., Soni, H., Batabyal, D. (2023). Technological Impacts of AI on Hospitality and Tourism Industry. In: Saraswat, M., Chowdhury, C., Kumar Mandal, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 551. Springer, Singapore. https://doi.org/10.1007/978-981-19-6631-6_6

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