Authors :
T D C Pushpakumara; Fazeela Jameel Ahsan
Volume/Issue :
Volume 10 - 2025, Issue 1 - January
Google Scholar :
https://tinyurl.com/ynyrw75e
Scribd :
https://tinyurl.com/mv4s45mx
DOI :
https://doi.org/10.5281/zenodo.14885949
Abstract :
This study investigates the adoption and utilization of Artificial Intelligence (AI) technologies in Sri Lanka's
sustainable tourism sector, focusing on the operator perspective. Grounded in the Technology Acceptance Model (TAM)
and Unified Theory of Acceptance and Use of Technology (UTAUT), the research identifies key factors influencing AI
adoption, including perceived benefits, ease of use, user-friendliness, and top management support. Regression analysis of
data collected from tourism operators highlights that perceived benefits (β=0.641) and ease of use (β=0.445) are significant
drivers of AI adoption intentions and utilization for enhancing service quality, operational efficiency, and sustainability
practices. Interestingly, network connectivity had minimal influence, suggesting the importance of other organizational
enablers. The findings underscore the need for leadership engagement, user-centric AI tools, and supportive policies to foster
AI integration in the ecotourism sector. The study provides actionable insights for policymakers and stakeholders to align
technological innovation with sustainability objectives, promoting a resilient and competitive tourism industry in Sri Lanka.
Keywords :
Artificial Intelligence (AI), Sustainable Tourism, AI Adoption, Service Quality. Operational Efficiency. Tourism Operators.
References :
- Abu Bakkar Siddik, M. S. (2024). Artificial intelligence as a catalyst for sustainable tourism growth and economic cycles. Technological Forecasting & Social Change.
- Alaa M. Momani, M. A. (2022). Emerging Technologies and Their Impact on the Future of the Tourism and Hospitality Industry. International Journal of Information Systems in the Service Sector, 14(01). doi: 10.4018/IJISSS.287579
- Ali, W. K. (2024). Factors influencing readiness for artificial intelligence: a systematic literature review,. Data Science and Management,. doi:https://doi.org/10.1016/j.dsm.2024.09.005.
- Aline Cabral Costa Andrade, M. C. (2024). The Compatibility Between SDGs and the EU Regulatory Framework of AI. Journal of Ethics and Legal Technologies, 06(01).
- Andreea Marin-Pantelescu, L. T. (2019). Role of tour operaters and travel Agencies in Promoting sutainable Tourism. Role of Tour Operators and Travel Agencies in Promoting Sustainable Tourism, 21(52), 654-666.
- Åsne Stige, E. D. (2023). Artificial Intelligence (AI) for User Experience (UX) design: A systematic literature review and future research agenda. Information Technology & People, 37 (06), 2324-2352. doi:https://doi.org/10.1108/ITP-07-2022-0519
- Bellos, K.-Z. (2023). The ithe implementation and use of new technologies in the hospitality industry towards a sustainablefutur. internatinal Helleenic University .
- Bulchand-Gidumal, J. (2020). Impact of Artificial Intelligence in Travel,. Switzerland AG: Springer Nature .
- Buljat Maja, H. S. (2022). Application of Multiple Regression Analysis in modeling the role of the. Journal of Economic and Social Development (JESD) – Resilient Society, 09(02).
- by Carlos J. Costa, M. A. (2024). The Democratization of Artificial Intelligence:. Applied Sciences. MDPI, 14(18). doi:/doi.org/10.3390/app14188236.
- Christopher Collins a, K. c. (2021). Artificial intelligence in information systems research: A systematic literature review and research agenda. International Journal of Information Management.
- Chrysovelidis, G. (2020). Designing a Chatbot for Tourism. International Hellenic University.
- David Hradecky, J. k. (2022). Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe. International Journal of Information Management, 65.
- Dilshan, M. (2024). Advancing Sri Lanka Tourism using AI-based mobile application. kdu Symposium.
- Dr. Tarun Kumar Vashishth, V. S. (2024). Artificial Intelligence (AI)-Powered Chatbots: Providing instant support and personalized recommendations to guests 24/7. Technology and Luxury Hospitality. doi:https://doi.org/10.4324/9781003488248
- Erdem Baydeniza, H. Ç. (2024). Ecotourism: For a Sustainable Future. Emerald Publishing Limited. doi:doi:10.1108/978-1-83753-244-520241006
- Erlane K Ghani, N. A. (2022). Factors Influencing Artificial Intelligence Adoption in Publicly Listed Manufacturing. International Journal of Applied Economics, Finance and Accounting, 14 (02), 108-117.
- Ganesh Reddy Gunnam, D. I. (2024). Assessing Performance of Cloud-Based Heterogeneous Chatbot Systems and A Case Study. IEEE Acces, 81631-81645.
- Ignat Kulkov.Julia Kulkova, R. R. (2023). Artificial intelligence - driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals. Sustainable Development .
- Ikwueze, C. (2024). Artificial Intelligence as a Service: A Systematic Review of Literature from the Customer’s Perspective. University of Oulu.
- Jay Kandampully, D. S. (2008). The Role of Customer Satisfaction and Image in Gaining Customer Loyalty in the Hotel Industry. Journal of Hospitality Marketing & Management, 3-25.
- K. Agius, N. T. (2020). So close yet so far: island connectivity and development in Central Mediterranean Islands. ecotourism , Case Studies on Transport Policy. doi:doi.org/10.1016/j.cstp.2020.11.006
- Khatri, M. R. (2023). International Journal of Information and Cybersecurity Prescriptive Analytics for Cost Reduction,Personalization, and Real-Time Insights Customer Service and Operational Efficiency .
- Ma, S. (2024). Enhancing Tourists' Satisfaction: Leveraging Artificial Intelligence in the Tourism Sector. Pacific international Jurnal, Vol. 7 .
- Mallikarjuna Paramesha, N. L. (2024). Big Data Analytics, Artificial Intelligence, Machine Learning, Internet of Things, and Blockchain for Enhanced Business Intelligenc. Partners Universal Multidisciplinary Research Journal (PUMRJ), 01(02).
- Marikyan, D. P. (2023). Unified Theory of Acceptance and Use of Technology: A review. TheoryHub .
- Marikyan, D. P. (2024). Technology Acceptance Model:review. (S. P. (Ed), Ed.)
- Miguel-Ángel García-Madurga, A.-J. G.-M. (2023). Artificial Intelligence in the Tourism Industry: An Overview of Reviews. Administrative Science, 13(172). doi:https://doi.org/10.3390/
- Minglong Li, D. Y. (2021). A systematic review of AI technology-based service encounters:Implications for hospitality and tourism operations. International Journal of Hospitality Management, 95.
- Nadeesha Hemachandra, C. D. (2021). Sustainable Tourism Assisting National Development in Sri Lanka – (STAND SL). Proceedings of International Conference on Business Management .
- Oluwayemisi Runsewe, L. A. (2024). Optimizing user interface and user experience in financial applications: A review of techniques and technologies. World Journal of Advanced Research and Reviews, 23(03), 934–942.
- Omar Ali, P. A. (2023). The effects of artificial intelligence applications in educational settings: Challenges and strategies . Technological Forecasting & Social Change.
- Pawel Korzynski, S. C. (2024). Trust in AI and Top Management Support in Generative-AI Adoption. Journal of Computer Information Systems. doi:10.1080/08874417.2024.2401986
- Pillai, R. a. (2020). Pillai, R. and Sivathanu, B. (2020), "Adoption of AI-based chatbots for hospitality and tourism", International Journal of Contemporary Hospitality Management,. Adoption of AI-based chatbots for hospitality and tourism, 32 (10), 3199-3226.
- Pookandy, J. (2024). Exploring the Role of AI-Orchestrated Workflow Automation in Cloud CRM to Enhance Operational Efficiency Through Intelligent Task Management. International Journal of Computer Science and Information Technology Research (IJCSITR), 01(01).
- Qadar Bakhsh Baloch, S. N. (2023). Impact of tourism development upon environmental sustainability:. Environmental Science and Pollution Research, 30, 5917–5930.
- Rane, n. ,. (2023). Sustainable Tourism Development Using Leading-edge Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR) and Virtual Reality (VR) Technologies. sustainability. doi:http://dx.doi.org/10.2139/ssrn.4642605
- Rusul Abduljabbar, H. D. (2019,). Applications of Artificial Intelligence in Transport:. Sustainability, 11(01). doi:doi.org/10.3390/su11010189
- S. Anandasayanan, S. B. (2020). Impact of Tourism Industry on the Economic Growth of Sri Lanka. International Journal of Accounting and Financial Reporting, 10(04).
- S. M. D. Fernandoa, ,. K. (2016). Ecotourism Practices in Sri Lanka: The Case Study of Rainforest Eco Lodge. Colombo Business Journal, 07(02).
- Sachin Kuberkar, T. K. (2020). Factors Influencing Adoption Intention of AI Powered Chatbot for Public Transport Services within a Smart City. International Journal on Emerging Technologies, 11(03), 948-958.
- Sage Kelly, S. A. (2023). What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics, 07.
- Sandaruwani, J. R. (2016). The role of tourist guides and their impacts on sustainable tourismdevelopment: A critque on Sri Lanka. Tourism, Leisure and Global Change,.
- Seoungkwon Min, B. K. (2024). AI Technology Adoption in Corporate IT Network Operations Based on the TOE Model. Digital, MDPI. doi:doi.org/10.3390/digital4040047
- Shireen Fathi, D. M. (2024). A Review on Feasibility of Web Technology and Cloud Computing for Sustainable ES: Leveraging AI, IoT, and Security for Green Operations. Journal of Information Technology and Informatics (JITI), 03(02), 246-270.
- Singh, P. &. (2024). The power of AI: enhancing customer loyalty through satisfaction and efficiency. Cogent Business & Management,, 11(1). doi:doi.org/10.1080/23311975.2024.2326107
- Siyao Ma, L. Z. (2024). Enhancing Tourists' Satisfaction: Leveraging Artificial Intelligence in the tourism sector. Pacific International Journal,, 07(03). doi:10.55014/pij.v7i3.624
- Sudusingha Liyanage Jothirathna Fernando, N. M. (2013). Wetland ecotourism in Sri Lanka: Issues and challenges. Malaysian Journal of Society and Space, 09(04), 99-105.
- Sugathapala. (2024). Eco-Friendly Practices in Health and Wellness Tourism: A Study of Sustainable Initiatives in Sri Lanka. IJARIIE, 637-651.
- Sugathapala, S. (2024). Eco-Friendly Practices in Health and Wellness Tourism: A Study of Sustainable Initiatives in Sri Lanka. IJARIIE.
- Tamara Gaji´c and, A. R. (2024). Tourists’ Willingness to Adopt AI in Hospitality Assumption of Sustainability in Developing Countries. . Sustainability, 16.
- Tamara Gajić, M. D. (2024,). Innovative Approaches in Hotel Management: Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) to Enhance Operational Efficiency and Sustainability. Sustainability, 16, (17). doi:https://doi.org/10.3390/su16177279
- Tarsem Fatima, H. A. (2024). AI-Driven Innovations for Sustainable Tourism Development and Customer. doi:10.13140/RG.2.2.20753.65125
- Tso, E. (2017). The Evolution of Global Tourism: Trends, Challenges, and Opportunities. International Journal of Open Publication and Exploration, 05(01).
- Verónica Bolón-Canedo, a. M.-F.-B. (2024). A review of green artificial intelligence: Towards a more sustainable future. Neurocomputing.
- Widemark, J.-A. (2022). Optimizing assistant work in the restructured organization.
- Wijekoon, V. (2022). . The Potential of Artificial Intelligence Adoption in Mitigating the Economic Crisis in Sri Lanka: A Case Study. doi: 10.13140/RG.2.2.19145.15208.
- Xiao, Z. H. (2024). Digital economy structuring for sustainable development: the role of blockchain and artifcial intelligence in improving supply chain and reducing negative environmental impacts. nature.com.
- Yin Zhang, B. D. (2024). Exploring the nexus of smart technologies and sustainable ecotourism: A systematic review . Heliyon .
- Zoysa, M. D. (2022). Ecotourism Development and Biodiversity Conservation in Sri Lanka: Objectives, Conflicts and Resolutions. Open Journal of Ecology, 12(10).
This study investigates the adoption and utilization of Artificial Intelligence (AI) technologies in Sri Lanka's
sustainable tourism sector, focusing on the operator perspective. Grounded in the Technology Acceptance Model (TAM)
and Unified Theory of Acceptance and Use of Technology (UTAUT), the research identifies key factors influencing AI
adoption, including perceived benefits, ease of use, user-friendliness, and top management support. Regression analysis of
data collected from tourism operators highlights that perceived benefits (β=0.641) and ease of use (β=0.445) are significant
drivers of AI adoption intentions and utilization for enhancing service quality, operational efficiency, and sustainability
practices. Interestingly, network connectivity had minimal influence, suggesting the importance of other organizational
enablers. The findings underscore the need for leadership engagement, user-centric AI tools, and supportive policies to foster
AI integration in the ecotourism sector. The study provides actionable insights for policymakers and stakeholders to align
technological innovation with sustainability objectives, promoting a resilient and competitive tourism industry in Sri Lanka.
Keywords :
Artificial Intelligence (AI), Sustainable Tourism, AI Adoption, Service Quality. Operational Efficiency. Tourism Operators.