AI-enabled ecotourism business models for socio-economic development of local communities: An empirical study on developing smart villages in West Bengal, India
Published online: 21 Feb 2026
Abstract
Purpose – This study aims to evaluate the role of AI-enabled ecotourism business models in driving socio-economic development in rural areas of West Bengal, with a focus on developing smart ecotourism villages in Jhargram and Purulia.
Design/Methodology/Approach – A quantitative research design was employed using data collected from 250 respondents, including ecotourism entrepreneurs, local community members, and government personnel. The study applied reliability and validity tests, factor analysis, and Structural Equation Modeling to examine relationships among digital literacy, community participation, entrepreneurial orientation, AI adoption, and socio-economic development. Mediation analysis was conducted using bootstrapping techniques in SPSS.
Findings – The results reveal that digital literacy, community participation, and entrepreneurial orientation significantly and positively influence AI adoption, with entrepreneurial orientation identified as the strongest predictor. Furthermore, AI adoption has a positive impact on socio-economic development. Mediation analysis indicates that AI adoption partially mediates the relationship between entrepreneurial orientation and socio-economic development, highlighting its strategic role in rural development pathways.
Originality/Value – This study contributes to the emerging discourse on smart tourism and rural development by integrating AI adoption into ecotourism business models. It provides practical insights for policymakers and stakeholders to foster digitally empowered, community-based ecotourism initiatives that enhance economic growth and sustainability in rural destinations.
References
Bandopadhyay, R., & Nair, S. (2019). Tourism and cultural heritage of India. Abhijeet Publications.
Bansal, S., & Kumar, J. (2020). Ecotourism for sustainable development: Issues and challenges. Concept Publishing Company.
Bartlett, M. S. (1954). A note on the multiplying factors for various chi square approximations. Journal of the Royal Statistical Society: Series B (Methodological), 16(2), 296–298. https://doi.org/10.1111/j.2517-6161.1954.tb00174.x
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Sage Publications.
Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., & Hofacker, C. (2020). Technological disruptions in services: Lessons from tourism and hospitality. Journal of Service Management, 31(4), 665–691. https://doi.org/10.1108/JOSM-12-2019-0359
Chakrabarti, M., & Mitra, S. (2019). Tourism and sustainable rural livelihoods in West Bengal. Journal of Rural Development, 38(2), 273–292.
Chatterjee, S., & Kar, A. K. (2020). Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India. International Journal of Information Management, 53, 102103. https://doi.org/10.1016/j.ijinfomgt.2020.102103
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
Das, D., & Bandyopadhyay, R. (2018). Sustainable ecotourism management in India: Challenges and opportunities. International Journal of Tourism and Travel, 11(1–2), 47–58.
Dey, A. (2020). Cultural tourism and economic development: A study of rural Bengal. Tourism Recreation Research, 45(2), 157–169. https://doi.org/10.1080/02508281.2019.1695485
Dwivedi, Y. K., Hughes, L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J., Gupta, B., Lal, B., Misra, S., Prashant, P., Raman, R., Rana, N. P., Sharma, S. K., & Upadhyay, N. (2021). Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International Journal of Information Management, 55, 102211. https://doi.org/10.1016/j.ijinfomgt.2020.102211
Dwivedi, Y. K., Hughes, L., Baabdullah, A., Ribeiro-Navarrete, B., Giannakis, M., Al-Debei, M. M., Metri, B., Buhalis, D., & Wamba, S. F. (2023). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., … Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5
Giampiccoli, A., & Saayman, M. (2018). Community-based tourism development model and community participation. African Journal of Hospitality, Tourism and Leisure, 7(4), 1–27.
Goodwin, H. (2008). Tourism, local economic development, and poverty reduction. Applied Research in Economic Development, 5(3), 55–64.
Gössling, S., & Higham, J. (2021). The low-carbon imperative: Destination management under urgent climate change. Journal of Travel Research, 60(6), 1167–1180. https://doi.org/10.1177/0047287520947790
Government of India, NITI Aayog. (2021). Strategy for New India @ 75. NITI Aayog. https://www.niti.gov.in
Gretzel, U. (2021). Intelligent systems in tourism. Annals of Tourism Research, 89, 103208. https://doi.org/10.1016/j.annals.2020.103208
Gursoy, D., Chi, C. G., Lu, L., & Nunkoo, R. (2019). Consumers acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157–169. https://doi.org/10.1016/j.ijinfomgt.2019.03.008
Hall, C. M., Gössling, S., & Scott, D. (2015). Tourism and sustainability: Development, globalisation and new tourism in the third world (4th ed.). Routledge.
Heeks, R. (2022). Digital development: A primer for policymakers. Centre for Digital Development, University of Manchester.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31–36. https://doi.org/10.1007/BF02291575
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. https://doi.org/10.1177/001316447003000308
Mariani, M. M., & Borghi, M. (2021). Customers’ evaluation of AI-enabled service encounters in travel. Annals of Tourism Research, 89, 103212. https://doi.org/10.1016/j.annals.2021.103212
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing.
OECD. (2019). OECD AI principles. OECD. https://www.oecd.org
OECD. (2020). OECD digital economy outlook 2020. OECD Publishing. https://doi.org/10.1787/bb167041-en
Okazaki, E. (2008). A community-based tourism model: Its conception and use. Journal of Sustainable Tourism, 16(5), 511–529. https://doi.org/10.1080/09669580802159594
Orlikowski, W. J. (2007). Socio material practices: Exploring technology at work. Organization Studies, 28(9), 1435–1448. https://doi.org/10.1177/0170840607081138
Sachs, J. D., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G., & Woelm, F. (2019). Sustainable Development Report 2019. Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). https://www.sdgindex.org
Sanyal, S., & Bhattacharya, R. (2021). Rural tourism and sustainable development: Evidence from West Bengal. Journal of Tourism Studies, 29(3), 211–229.
Sarker, S., Sarker, S., & Schneider, C. (2019). Understanding the role of information systems in the development of socio-technical systems. Information Systems Journal, 29(3), 1–24. https://doi.org/10.1111/isj.12245
United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development. United Nations. https://sdgs.un.org/2030agenda
United Nations. (2021). UN World Tourism Barometer. United Nations. https://www.unwto.org
United Nations Development Programme (UNDP). (2020). Human development report 2020: The next frontier – Human development and the Anthropocene. UNDP. http://hdr.undp.org
United Nations Educational, Scientific and Cultural Organization (UNESCO). (2021). UNESCO science report: The race against time for smarter development. UNESCO. https://unesdoc.unesco.org
United Nations World Tourism Organization (UNWTO). (2021). Tourism for inclusive growth. UNWTO. https://www.unwto.org
Van Dijck, J., Poell, T., & de Waal, M. (2018). The platform society: Public values in a connective world. Oxford University Press.
World Economic Forum. (2018). Harnessing artificial intelligence for the Earth. World Economic Forum. https://www.weforum.org
Zeng, Y., Lu, E., & Huangfu, C. (2019). Linking artificial intelligence principles. Nature Machine Intelligence, 1(8), 400–401. https://doi.org/10.1038/s42256-019-0087-3
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