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Examining the Factors Influencing Diffusion and Adoption of AI Chatbots in Tourism and Travel Industry

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Transfer, Diffusion and Adoption of Next-Generation Digital Technologies (TDIT 2023)

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Abstract

AI chatbots have become increasingly important in various industries, especially with the rise of artificial intelligence and other emerging technologies. Chatbots engage with customers, address common inquiries, and perform specific tasks. The tourism and travel industry uses AI chatbots to enhance customer service for travellers. However, there is a lack of comprehensive research on the adoption of AI chatbots by the customers in tourism sector. To bridge this research gap, the present study utilizes the theoretical lens of Roger’s diffusion model to investigate the factors that impact the adoption of AI chatbots in the tourism and travel industry. The study employs a quantitative research approach with a cross-sectional design and collects data from 495 frequent travellers through random sampling technique using Google forms. The analysis of the data is conducted using the Partial Least Squares (PLS) approach. The study findings show that relative advantage and trialability have a positive impact on adoption of AI chatbots. Compatibility, complexity and observability remain to be hindering factors for its adoption. Trust significantly moderated the relationship between adoption intention and their actual usage. This paper provides valuable and distinctive perspectives for executives, practitioners, and managerial-level employees within the tourism sector, as well as for system designers and creators of AI chatbot technologies.

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References

  1. Tortorella, G.L., Saurin, T.A., Hines, P., Antony, J., Samson, D.: Myths and facts of industry 4.0. Int. J. Prod. Econ. 255, 108660 (2023)

    Google Scholar 

  2. Hanji, S., Hanji, S.: Towards performance overview of mini batch K-means and K-means: case of four-wheeler market segmentation. In: Senjyu, T., So–In, C., Joshi, A. (eds.) SMART 2023. LNNS, vol. 645, pp. 801–813. Springer, Singapore (2023). https://doi.org/10.1007/978-981-99-0769-4_70

  3. Pillai, R., Sivathanu, B.: Adoption of AI-based chatbots for hospitality and tourism. Int. J. Contemp. Hosp. Manag.Manag. 32(10), 3199–3226 (2020)

    Google Scholar 

  4. Rivas, P., Zhao, L.: Marketing with chatGPT: navigating the ethical terrain of GPT-based chatbot technology. AI 4(2), 375–384 (2023)

    Google Scholar 

  5. Kodabagi, M.M., Hanji, S.S., Hanji, S.V..: Application of enhanced clustering technique using similarity measure for market segmentation. Comput. Sci. Inf. Technol. 15 (2014)

    Google Scholar 

  6. Bump, P.: Chatbots for Travel and Tourism – Comparing 5 Current Applications. https://emerj.com/ai-application-comparisons/chatbots-travel-tourism-comparing-5-current-applications. Accessed 28 Dec 2019

  7. Bowen, J., Morosan, C.: Beware hospitality industry: the robots are coming. Worldwide Hospital. Tour. Themes 10(6), 726–733 (2018)

    Article  Google Scholar 

  8. Huang, A., Chao, Y., de la Mora Velasco, E., Bilgihan, A., Wei, W.: When artificial intelligence meets the hospitality and tourism industry: an assessment framework to inform theory and management. J. Hospital. Tour. Insights 5(5), 1080–1100 (2022)

    Article  Google Scholar 

  9. Almaiah, M.A., et al.: Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate. Electronics 11(20), 3291 (2022)

    Google Scholar 

  10. Rodríguez Cardona, D., Werth, O., Schönborn, S., Breitner, M.H.: A mixed methods analysis of the adoption and diffusion of Chatbot Technology in the German insurance sector (2019)

    Google Scholar 

  11. Melián-González, S., Gutiérrez-Taño, D., Bulchand-Gidumal, J.: Predicting the intentions to use chatbots for travel and tourism. Curr. Issue Tour.. Issue Tour. 24(2), 192–210 (2021)

    Article  Google Scholar 

  12. Rogers, E.M.: Diffusion of Innovations, 4th edn. Free Press, New York (1995)

    Google Scholar 

  13. Mostafa, R.B., Kasamani, T.: Antecedents and consequences of chatbot initial trust. Eur. J. Mark. 56(6), 1748–1771 (2022)

    Article  Google Scholar 

  14. Trapero, H., Ilao, J., Lacaza, R.: An integrated theory for chatbot use in air travel: questionnaire development and validation. In: 2020 IEEE REGION 10 CONFERENCE (TENCON), pp. 652–657. IEEE, November 2020

    Google Scholar 

  15. Rogers, E.M.: Diffusion of Innovations, 5th edn. Free Press, New York (2003)

    Google Scholar 

  16. Sharma, S., Singh, G., Islam, N., Dhir, A.: Why do SMEs adopt artificial intelligence-based Chatbots?. IEEE Trans. Eng. Manag. (2022)

    Google Scholar 

  17. Radhakrishnan, J., Chattopadhyay, M.: Determinants and barriers of artificial intelligence adoption – a literature review. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Rana, N.P. (eds.) TDIT 2020. IAICT, vol. 617, pp. 89–99. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-64849-7_9

    Chapter  Google Scholar 

  18. Alt, M.A., Vizeli, I., Săplăcan, Z.: Banking with a Chatbot-a study on technology acceptance. Studia Universitatis Babes-Bolyai, Oeconomica 66(1) (2021)

    Google Scholar 

  19. Simeonova, B., Bogolyubov, P., Blagov, E.: Use and acceptance of learning platforms within universities. Electron. J. Knowl. Manag.Knowl. Manag. 12(1), 26 (2014)

    Google Scholar 

  20. Navalgund, N.R., Hanji, S., Mahantshetti, S., Nulkar, G., Kadadevar Math, R.S., Aranganathan, P.: Family business in futuristic times: marketing focus in family run restaurants in post Covid times. J. Mines Metals Fuels 71(2) (2023)

    Google Scholar 

  21. Venkatesh, V., Thong, J.Y., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36(1), 157–178 (2012)

    Article  Google Scholar 

  22. Alalwan, A.A., Dwivedi, Y.K., Rana, N.P.: Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. Int. J. Inf. Manag.Manag. 37(3), 99–110 (2017)

    Article  Google Scholar 

  23. Zhou, T., Lu, Y., Wang, B.: Integrating TTF and UTAUT to explain mobile banking user adoption. Comput. Hum. Behav.. Hum. Behav. 26(4), 760–767 (2010)

    Article  Google Scholar 

  24. Hanji, S.V., Navalgund, N., Ingalagi, S., Desai, S., Hanji, S.S.: Adoption of AI Chatbots in travel and tourism services. In: Yang, X.S., Sherratt, R.S., Dey, N., Joshi, A. (eds.) ICICT 2023. LNNS, vol. 696, pp. 713–727. Springer, Singapore (2023). https://doi.org/10.1007/978-981-99-3236-8_57

  25. Limayem, M., Hirt, S.G., Cheung, C.M.: How habit limits the predictive power of intention: the case of information systems continuance. MIS Q. 705–737 (2007)

    Google Scholar 

  26. Nunnally, J.C.: An overview of psychological measurement. Clin. Diagn. Mental Disord. 97–146 (1978)

    Google Scholar 

  27. Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. KLE Technological University, Dr. MSSCET, Belagavi, Karnataka, India

    Sanjay V. Hanji & Savita S. Hanji

  2. Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

    Sumukh Hungund

  3. Graduate School of Management, St. Petersburg State University, St. Petersburg, Russian Federation

    Evgeny Blagov

  4. KLS Institute of Management Education and Research, Belagavi, Karnataka, India

    Sumanth Desai

Authors
  1. Sanjay V. Hanji
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  2. Sumukh Hungund
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  3. Evgeny Blagov
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  4. Sumanth Desai
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  5. Savita S. Hanji
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Corresponding author

Correspondence to Sanjay V. Hanji .

Editor information

Editors and Affiliations

  1. IIM Nagpur, Nagpur, India

    Sujeet K. Sharma

  2. Swansea University, Swansea, UK

    Yogesh K. Dwivedi

  3. IIM Nagpur, Nagpur, India

    Bhimaraya Metri

  4. University of Bradford, Bradford, UK

    Banita Lal

  5. Royal Holloway, University of London, Egham, UK

    Amany Elbanna

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Hanji, S.V., Hungund, S., Blagov, E., Desai, S., Hanji, S.S. (2024). Examining the Factors Influencing Diffusion and Adoption of AI Chatbots in Tourism and Travel Industry. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Lal, B., Elbanna, A. (eds) Transfer, Diffusion and Adoption of Next-Generation Digital Technologies. TDIT 2023. IFIP Advances in Information and Communication Technology, vol 699. Springer, Cham. https://doi.org/10.1007/978-3-031-50204-0_13

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  • DOI: https://doi.org/10.1007/978-3-031-50204-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50203-3

  • Online ISBN: 978-3-031-50204-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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