Artificial Intelligence (AI) offers transformative potential for the tourism industry by enhancing operational efficiency, personalizing visitor experiences, and advancing sustainability objectives. In the ecotourism sector, AI-powered chatbots can provide real-time information, facilitate bookings, promote eco-friendly practices, and engage visitors in conservation awareness. Despite these benefits, adoption within Sri Lanka’s ecotourism industry remains limited, hindered by infrastructural constraints, organizational readiness, and varying levels of tourist acceptance. This study adopts an exploratory sequential mixed-methods design to investigate the technological, organizational, and behavioral factors influencing the adoption intention and actual usage of AI chatbots among ecotourism service providers and tourists in Sri Lanka. In the first qualitative phase, semi-structured interviews with ecotourism operators will identify context-specific barriers and enablers such as digital literacy, infrastructure readiness, workforce capabilities, and Corporate Social Responsibility (CSR). Insights from this phase will refine the subsequent survey instrument. In the second quantitative phase, a stratified random sample of tourists and service providers will be surveyed, and data will be analyzed using Structural Equation Modeling (SEM) to test hypothesized relationships among constructs. Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), Organizational Readiness for Change (ORC), and Institutional Theory, the research examines performance expectancy, effort expectancy, social influence, facilitating conditions, perceived trust, anthropomorphism, perceived intelligence, technological anxiety, cost considerations, workforce capabilities, sustainable initiatives, and CSR. The findings are expected to generate empirical insights into adoption drivers and barriers while integrating stakeholder perspectives, offering practical and policy recommendations to enhance AI integration for sustainable ecotourism development in Sri Lanka.
KeywordsArtificial IntelligenceChatbotsEcotourismSustainable TourismUTAUTOrganizational ReadinessInstitutional Theory
Fernando, S., Bandara, J. and Smith, C. (2017) Tourism in Sri Lanka. In: Hall, M.C. and Page, S.J., Eds., The Routledge Handbook of Tourism in Asia , Routledge, 251-264. https://www.researchgate.net/publication/312576645
Pattiyagedara, S.S. and Fernando, P.I.N. (2020) Rural Tourism Niche-Market as a Development Strategy on Rural Community: Reference to Hiriwadunna Village Track, Meemure and Heeloya Knuckles Valley Tourism Village, Sri Lanka. Sri Lanka Journal of Management Studies , 2, 87-103. https://doi.org/10.4038/sljms.v2i1.29
Sri, R., Arachchi, S.W., Shukri, M., Yajid, A., Alam-Malaysia, S. and Khatibi, A. (2015) Eco-Tourism Practices in Sri Lankan Eco Resorts: An Analysis of Satisfaction and Behavioral Intention of Eco-Tourists. International Journal of Business and Social Science , 6, 211-226. https://www.ijbssnet.com
Mahmudova, M., Kurbonbekova, M. and Mamadiyarov, U.Z. (2024) Exploring Eco-Tourism and Its Role in Sustainable Development: An Example of Karakalpakstan. International Conference of Economic , Finance and Accounting St udies , 3, 64-67.
Thusitha Dilshan, N.W. and Toko, A. (2022). Sustainable Practices in Hotels in Sri Lanka: Analysis of Environmentally Sustainable Aspects. WIT Transactions on Ecology and the Environment , 256, 121-132. https://doi.org/10.2495/st220111
Chai-Arayalert, S. (2020) Smart Application of Learning Ecotourism for Young Eco-tourists. Cogent Social Sciences , 6, Article ID: 1772558. https://doi.org/10.1080/23311886.2020.1772558
Salahuddin, M. (2024) Assessing Ecotourism Potential of Munro Track, Mansehra, KP. https://www.researchgate.net/publication/378877767
Bathla, G., Raina, A., Kumar, A., Tripathi, R. and Kaur, D. (2024) Exploring the Role of Sustainable Tourism in Building Environmental and Social Resilience. In: Hassan, V., Staszewska, A. and Bhartiya, S., Eds., Building Community Resiliency and Sust ainability with Tourism Development , IGI Global, 83-106. https://doi.org/10.4018/979-8-3693-5405-6.ch004
Kozłowska-Adamczak, M., Essing-Jelonkiewicz, P. and Jezierska-Thöle, A. (2023) Leveraging Information and Communication Technologies in Forest Ecotourism: A Case Study from Poland. Sustainability , 16, Article 56. https://doi.org/10.3390/su16010056
Abeywickrama, Y.V., Abeywickrama, Y.V., Degamboda, S. and Manchanayake, K. (2020) Review Paper-Literature Research of Factors Limiting the Growth of Sri Lanka’s ICT/BPM Industry. International Journal of Latest Engineering and Management Research , 5, 1-10.
Sri Lanka
Ali, A. and Frew, A.J. (2010) ICT and Its Role in Sustainable Tourism Development. In: Gretzel, U., Law, R. and Fuchs, M., Eds., Information and Communication Technologies in Tourism 2010, Springer, 479-491. https://doi.org/10.1007/978-3-211-99407-8_40
García-Madurga, M. and Grilló-Méndez, A. (2023) Artificial Intelligence in the Tourism Industry: An Overview of Reviews. Administrative Sciences , 13, Article 172. https://doi.org/10.3390/admsci13080172
Muwandeniya, W.A.K.C.B. and Eranda, B.A.N. (2022) Virtual Reality for Enhancing Customer Value in Sri Lankan Hospitality and Tourism Industry: Perspective of Industry Experts. Sri Lanka Journal of Marketing , 8, 64-83. https://doi.org/10.4038/sljmuok.v8i2.102
Rane, N.L. (2025) ChatGPT and Similar Generative Artificial Intelligence (AI) for Smart Industry: Role, Challenges, and Opportunities for Industry 4.0, Industry 5.0, and Society 5.0. Innovations in Business and Strategic Management , 2, 10-17. https://doi.org/10.61577/ibsm.2024.100002
Fatima, T. and Arsalan, H. (2024) AI-Driven Innovations for Sustainable Tourism Development and Customer Engagement. https://www.researchgate.net/publication/380527970
Bandara Wijekoon, V. (2022) The Potential of Artificial Intelligence Adoption in Mitigating the Economic Crisis in Sri Lanka: A Case Study. https://www.researchgate.net/publication/382242672
Dilshan, A., Wijayanayake, J., Asanka, D. and Karunarathna, C. (2024) Adoption Success of Using Generative AI Apps for the Ecommerce Platforms in Sri Lanka. International Conference on Sustainable & Digital Business , Sri Lanka, 1-2 December 2024, 414-429. https://doi.org/10.54389/burh1886
Pillai, R. and Sivathanu, B. (2020) Adoption of AI-Based Chatbots for Hospitality and Tourism. International Journal of Contemporary Hospitality Management , 32, 3199-3226. https://doi.org/10.1108/ijchm-04-2020-0259
Pushpakumara, T.D.C. and Ahsan, F.J. (2025) Artificial Intelligence Adoption in Sustainable Tourism in Sri Lanka: An Operator Perspective. International Journal of Innovative Science and Research Technology , 10, 2516-2530. https://doi.org/10.5281/zenodo.14885949
Pushpakumara, T.D.C. and Ahsan, F.J. (2025) The Evaluation of AI Chatbots in Sustainable Tourism: A Systematic Literature Review. International Journal on Cybernetics & Informatics , 14, 28-44. https://doi.org/10.5121/ijci.2025.140303
Kahan, B.C., Hindley, J., Edwards, M., Cro, S. and Morris, T.P. (2024) The Estimands Framework: A Primer on the ICH E9(R1) Addendum. BMJ , 384, e076316. https://doi.org/10.1136/bmj-2023-076316
Chen, G., Fan, J. and Azam, M. (2024) Exploring Artificial Intelligence (AI) Chatbots Adoption among Research Scholars Using Unified Theory of Acceptance and Use of Technology (UTAUT). Journal of Librarianship and Information Science , 57, 1205-1223. https://doi.org/10.1177/09610006241269189
Chen, T., Gascó-Hernandez, M. and Esteve, M. (2023) The Adoption and Implementation of Artificial Intelligence Chatbots in Public Organizations: Evidence from U.S. State Governments. The American Review of Public Administration , 54, 255-270. https://doi.org/10.1177/02750740231200522
Tamilmani, K., Rana, N.P., Wamba, S.F. and Dwivedi, R. (2021) The Extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A Systematic Literature Review and Theory Evaluation. International Journal of Information Management , 57, Article ID: 102269. https://doi.org/10.1016/j.ijinfomgt.2020.102269
Huseynov, F. (2023) Chatbots in Digital Marketing. In: Munna, A.S., Shaikh, S.I. and Kazi, B.U., Eds., Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence , IGI Global, 46-72. https://doi.org/10.4018/978-1-6684-7735-9.ch003
Kannan, D., Khademolqorani, S., Janatyan, N. and Alavi, S. (2024) Smart Waste Management 4.0: The Transition from a Systematic Review to an Integrated Framework. Waste Management , 174, 1-14. https://doi.org/10.1016/j.wasman.2023.08.041
Krithikaa Venket, V.S., Korsipati, V., Korsipati, R., Anagha, P., Narendran, M. and Sathya, A. (2025) Travel Sphere: AI-Powered, All-In-One Travel Solution for Seamless Journeys. 2025 International Conference on Data Science and Business Systems ( ICDSBS ), Chennai, 17-18 April 2025, 1-6. https://doi.org/10.1109/icdsbs63635.2025.11031920
Talib, R.H. and Mohammed, N.I. (2025) The Influence of Catechin on Adiponectin Gene Expression and Insulin Resistance in Obese Rats. Egyptian Journal of Veterinary Sciences , 56, 1533-1540. https://doi.org/10.21608/ejvs.2024.284513.2026
Afzal, I., Majid, M.B., Tariq, M.I. and Nasir, A. (2024) Investigating the Impact of Smart Tourism Technologies on Tourist Satisfaction, Engagement & Image and with the Mediation of Memorable Tourist Experience. Pakistan Journal of Humanities and Social Sciences , 12. https://doi.org/10.52131/pjhss.2024.v12i1.1942
Hsu, C.C. (2018) Artificial Intelligence in Smart Tourism: A Conceptual Framework. Proceedings of the 18 th International Conference on Electronic Business , Guilin, 2-6 December 2018, 124-133.
Acosta-Prado, J.C., Hernández-Cenzano, C.G., Villalta-Herrera, C.D. and Barahona-Silva, E.W. (2024) Three Horizons of Technical Skills in Artificial Intelligence for the Sustainability of Insurance Companies. Administrative Sciences , 14, Article 190. https://doi.org/10.3390/admsci14090190
Khneyzer, C., Boustany, Z. and Dagher, J. (2024) Ai-driven Chatbots in CRM: Economic and Managerial Implications across Industries. Administrative Sciences , 14, Article 182. https://doi.org/10.3390/admsci14080182
Pathak, A. and Bansal, V. (2023) Factors Influencing the Readiness for Artificial Intelligence Adoption in Indian Insurance Organizations. In: Sharma, S.K., Dwivedi, Y.K., Metri, B., Lal, B. and Elbanna, A., Eds., Transfer , Diffusion and Adoption of Next - Generation Digital Technologies , Springer, 43-55. https://doi.org/10.1007/978-3-031-50192-0_5
Wadippuli Arachchi, R.S.S., Ab Yajid, M.S. and Kkatibi, A. (2015) A Comparison of Eco-Tourism Practices of Sri Lankan Hoteliers with Reference to the International Standards. Tourism , Leisure and Global Change , 2, TOC-156. http://geog.nau.edu/igust/srilanka2014/
Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003) User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly , 27, 425-478. https://doi.org/10.2307/30036540
Sigala, M. (2018) New Technologies in Tourism: From Multi-Disciplinary to Anti-Disciplinary Advances and Trajectories. Tourism Management Perspectives , 25, 151-155. https://doi.org/10.1016/j.tmp.2017.12.003
Tussyadiah, I. (2020) A Review of Research into Automation in Tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism. Annals of Tourism Research , 81, Article ID: 102883. https://doi.org/10.1016/j.annals.2020.102883
Rahi, K. (2022) Project Resilience: A Conceptual Framework. International Journal of Information Systems and Project Management , 7, 69-83. https://doi.org/10.12821/ijispm070104
Gretzel, U., Sigala, M., Xiang, Z. and Koo, C. (2015) Smart Tourism: Foundations and Developments. Electronic Markets , 25, 179-188. https://doi.org/10.1007/s12525-015-0196-8
Guo, H. and Erdenebold, T. (2025) Factors Influencing Intention to Adopt an AI Chatbot for Learning in Higher Education: An Integrated PLS-SEM, IPMA, and ANN Approach. Computers and Education : Artificial Intelligence , 9, Article ID: 100477. https://doi.org/10.1016/j.caeai.2025.100477
Mariani, M.M., Machado, I., Magrelli, V. and Dwivedi, Y.K. (2023) Artificial Intelligence in Innovation Research: A Systematic Review, Conceptual Framework, and Future Research Directions. Technovation , 122, Article ID: 102623. https://doi.org/10.1016/j.technovation.2022.102623
Morosan, C. and DeFranco, A. (2016) It’s about Time: Revisiting UTAUT2 to Examine Consumers’ Intentions to Use NFC Mobile Payments in Hotels. International Journal of Hospitality Management , 53, 17-29. https://doi.org/10.1016/j.ijhm.2015.11.003
Yang, J., Blount, Y. and Amrollahi, A. (2024) Artificial Intelligence Adoption in a Professional Service Industry: A Multiple Case Study. Technological Forecasting and Social Change , 201, Article ID: 123251. https://doi.org/10.1016/j.techfore.2024.123251
Kaufmann, D., McGuirk, E.F. and Vicente, P.C. (2019) Foreign Aid Preferences and Perceptions in Donor Countries. Journal of Comparative Economics , 47, 601-617. https://doi.org/10.1016/j.jce.2019.03.003
Kraus, S., Jones, P., Kailer, N., Weinmann, A., Chaparro-Banegas, N. and Roig-Tierno, N. (2021) Digital Transformation: An Overview of the Current State of the Art of Research. Sage Open , 11, 1-15. https://doi.org/10.1177/21582440211047576
Williams, M.D., Rana, N.P. and Dwivedi, Y.K. (2015) The Unified Theory of Acceptance and Use of Technology (UTAUT): A Literature Review. Journal of Enterprise Information Management , 28, 443-488. https://doi.org/10.1108/jeim-09-2014-0088
Mariani, M. and Borghi, M. (2021) Customers’ Evaluation of Mechanical Artificial Intelligence in Hospitality Services: A Study Using Online Reviews Analytics. International Journal of Contemporary Hospitality Management , 33, 3956-3976. https://doi.org/10.1108/ijchm-06-2020-0622
Fickers, A., Promoteur, A. and Dessart, L. (2020) The Dark Side of Customer Engagement in AI-Driven Interactions: The Case of Chatbots in the Tourism Industry. https://lib.uliege.be https://matheo.uliege.be
Stahl, B.C. and Eke, D. (2024) The Ethics of ChatGPT—Exploring the Ethical Issues of an Emerging Technology. International Journal of Information Management , 74, Article ID: 102700. https://doi.org/10.1016/j.ijinfomgt.2023.102700
Suanpang, P. and Pothipassa, P. (2024) Integrating Generative AI and IoT for Sustainable Smart Tourism Destinations. Sustainability , 16, Article 7435. https://doi.org/10.3390/su16177435
Alsheibani, S., Cheung, Y. and Messom, C. (2018) Artificial Intelligence Adoption: AI-Readiness at Firm-Level. https://aisel.aisnet.org/pacis2018/37
Zechiel, F., Blaurock, M., Weber, E., Büttgen, M. and Coussement, K. (2024) How Tech Companies Advance Sustainability through Artificial Intelligence: Developing and Evaluating an AI X Sustainability Strategy Framework. Industrial Marketing Management , 119, 75-89. https://doi.org/10.1016/j.indmarman.2024.03.010
Becken, S. and Carmignani, F. (2020) Are the Current Expectations for Growing Air Travel Demand Realistic? Annals of Tourism Research , 80, Article ID: 102840. https://doi.org/10.1016/j.annals.2019.102840
Font, X. and Lynes, J. (2018) Corporate Social Responsibility in Tourism and Hospitality. Journal of Sustainable Tourism , 26, 1027-1042. https://doi.org/10.1080/09669582.2018.1488856
Wang, S., Wang, Q., Cui, Q. and Lan, T. (2025) Artificial Intelligence in Tourism: A Systematic Literature Review and Future Research Agenda. Sustainability , 17, Article 9080. https://doi.org/10.3390/su17209080
Rhou, Y. and Singal, M. (2020) A Review of the Business Case for CSR in the Hospitality Industry. International Journal of Hospitality Management , 84, Article ID: 102330. https://doi.org/10.1016/j.ijhm.2019.102330
Baum, T. and Hai, N.T.T. (2020) Hospitality, Tourism, Human Rights and the Impact of Covid-19. International Journal of Contemporary Hospitality Management , 32, 2397-2407. https://doi.org/10.1108/ijchm-03-2020-0242
Armenakis, A.A., Harris, S.G. and Mossholder, K.W. (1993) Creating Readiness for Organizational Change. Human Relations , 46, 681-703. https://doi.org/10.1177/001872679304600601
DiMaggio, P. and Powell, W.W. (2010) The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields (Translated by G. Yudin). Journal of Economic Sociology , 11, 34-56. https://doi.org/10.17323/1726-3247-2010-1-34-56
Wang, Y., Wang, C., Zhang, X. and Zeng, L. (2025) Towards Intelligent Emergency Management: A Scenario-Learning-Decision Framework Enabled by Large Language Models. Mathematics , 13, Article 3463. https://doi.org/10.3390/math13213463
Tussyadiah, I. and Miller, G. (2019) Nudged by a Robot: Responses to Agency and Feedback. Annals of Tourism Research , 78, Article ID: 102752. https://doi.org/10.1016/j.annals.2019.102752
Jayakummar, S. (2025) Tourism Industry-Issues and Challenges in Global Perspective, 2025 Impact of AI-Enabled Chatbots on Tourist Satisfaction and Decision-Making. Self Publisher.
Santiago, T. (2019) AI Bias: How Does AI Influence the Executive Function of Business Leaders? Muma Business Review , 3, 181-192. https://doi.org/10.28945/4380
Hwang, Y., Lee, S. and Jeon, J. (2024) Integrating AI Chatbots into the Metaverse: Pre-Service English Teachers’ Design Works and Perceptions. Education and Information Technologies , 30, 4099-4130. https://doi.org/10.1007/s10639-024-12924-4
Furneaux, B. and Wade, M. (2011) An Exploration of Organizational Level Information Systems Discontinuance Intentions. MIS Quarterly , 35, 573-598. https://doi.org/10.2307/23042797
Frenkenberg, A. and Hochman, G. (2025) It’s Scary to Use It, It’s Scary to Refuse It: The Psychological Dimensions of AI Adoption—Anxiety, Motives, and Dependency. Systems , 13, Article 82. https://doi.org/10.3390/systems13020082
Gefen, D., Karahanna, E. and Straub, D.W. (2003) Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly , 27, 51-90. https://doi.org/10.2307/30036519
Ledro, C., Nosella, A. and Dalla Pozza, I. (2023) Integration of AI in CRM: Challenges and Guidelines. Journal of Open Innovation : Technology , Market , and Complexity , 9, Article ID: 100151. https://doi.org/10.1016/j.joitmc.2023.100151
Majid, G.M., Tussyadiah, I., Kim, Y.R. and Pal, A. (2023) Intelligent Automation for Sustainable Tourism: A Systematic Review. Journal of Sustainable Tourism , 31, 2421-2440. https://doi.org/10.1080/09669582.2023.2246681
Ma, N., Khynevych, R., Hao, Y. and Wang, Y. (2025) Effect of Anthropomorphism and Perceived Intelligence in Chatbot Avatars of Visual Design on User Experience: Accounting for Perceived Empathy and Trust. Frontiers in Computer Science , 7, Article 1531976. https://doi.org/10.3389/fcomp.2025.1531976
Urbani, R., Ferreira, C. and Lam, J. (2024) Managerial Framework for Evaluating AI Chatbot Integration: Bridging Organizational Readiness and Technological Challenges. Business Horizons , 67, 595-606. https://doi.org/10.1016/j.bushor.2024.05.004
Ahsan, R.M., Uddin, B., Hossen, T. and Das, S. (2025) Resilient Intelligence: AI and MIS in the Cyber-Economic Era. The Eastasouth Journal of Information System and Computer Science , 3, 151-163. https://doi.org/10.58812/esiscs.v3i02.758
Duong, C.D. (2024) ChatGPT Adoption and Digital Entrepreneurial Intentions: An Empirical Research Based on the Theory of Planned Behaviour. Entrepreneurial Business and Economics Review , 12, 129-142. https://doi.org/10.15678/eber.2024.120208
Faiz, F., Le, V. and Masli, E.K. (2024) Determinants of Digital Technology Adoption in Innovative SMEs. Journal of Innovation & Knowledge , 9, Article ID: 100610. https://doi.org/10.1016/j.jik.2024.100610
Wang, S. and Cheablam, O. (2025) Sustainable Tourism and Its Environmental and Economic Impacts: Fresh Evidence from Major Tourism Hubs. Sustainability , 17, Article 5058. https://doi.org/10.3390/su17115058
Collins, C., Dennehy, D., Conboy, K. and Mikalef, P. (2021) Artificial Intelligence in Information Systems Research: A Systematic Literature Review and Research Agenda. International Journal of Information Management , 60, Article ID: 102383. https://doi.org/10.1016/j.ijinfomgt.2021.102383
Davis, F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly , 13, 319-340. https://doi.org/10.2307/249008
Alalwan, A.A. (2018) Investigating the Impact of Social Media Advertising Features on Customer Purchase Intention. International Journal of Information Management , 42, 65-77. https://doi.org/10.1016/j.ijinfomgt.2018.06.001