Ajzen, I. (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes, 50(2), 179. https://doi.org/10.1016/0749-5978(91)90020-t
Alateeg, S., Alhammadi, A., Al-Ayed, S., & Helmi, M.A. (2024). Factors influencing on behavioral intention to adopt artificial intelligence for startup sustainability. Kurdish Studies,12, (1), 2924-2941. https://doi.org/10.58262/ks.v12i1.209
Alblooshi, S., & Hamid, N.A. A. (2021). The role of unified theory of acceptance and use of technology in e-learning adoption in higher education institutions in the UAE. IBIMA Business Review, 2021(2021), 730690. https://doi.org/10.5171/2021.730690
Aliyah, Lukita, C., Pangilinan, G.A., Chakim, M.H.R., & Saputra, D.B. (2023). Examining the impact of artificial intelligence and internet of things on smart tourism destinations: a comprehensive study. Aptisi Transactions on Technopreneurship (ATT), 5(2sp), 135–145. https://doi.org/10.34306/att.v5i2sp.332
Al-Sharafi, M.A., Al-Emran, M., Iranmanesh, M., Al-Qaysi, N., Iahad, N.A., & Arpaci, I. (2023). Understanding the impact of knowledge management factors on the sustainable use of AI-based chatbots for educational purposes using a hybrid SEM-ANN approach. Interactive Learning Environments, 31(10), 7491–7510. https://doi.org/10.1080/10494820.2022.2075014
Arora, N.K., & Mishra, I. (2023). Responsible consumption and production: a roadmap to sustainable development. Environmental Sustainability, 6, 1–6. https://doi.org/10.1007/s42398-023-00266-9
Baloch, Q.B., Shah, S.N., Iqbal, N., Sheeraz, M., Asadullah, M., Mahar, S., & Khan, A.U. (2022). Impact of tourism development upon environmental sustainability: A suggested framework for sustainable ecotourism. Environmental Science and Pollution Research, 30(3), 5917–5930. https://doi.org/10.1007/s11356-022-22496-w
Bang‐Ning, H., Jitanugoon, S., & Puntha, P. (2025). AI‐Powered Sustainable Tourism: Unlocking Circular Economies and Overcoming Resistance to Change. Business Strategy and the Environment, 34(5), 5781–5802. https://doi.org/10.1002/bse.4276
Begum, H., Er, A.C., Alam, A.S.A.F., & Sahazali, N. (2014). Tourist perceptions towards the role of stakeholders in sustainable tourism. Procedia — Social and Behavioural Sciences, 144, 313. https://doi.org/10.1016/j.sbspro.2014.07.301
Cao, G., Duan, Y., Edwards, J.S., & Dwivedi, Y.K. (2021). Understanding managers’ attitudes and behavioural intentions towards using artificial intelligence for organisational decision-making. Technovation, 106, 102312. https://doi.org/10.1016/j.technovation.2021.102312
Chatterjee, S., Rana, N.P., Dwivedi, Y.K., & Baabdullah, A.M. (2021). Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model. Technological Forecasting and Social Change, 170, 120880. https://doi.org/10.1016/j.techfore.2021.120880
Chen, F.F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 14(3), 464–504. https://doi.org/10.1080/10705510701301834
Chen, H., Chan-Olmsted, S., Kim, J., & Sanabria, I.M. (2021). Consumers’ perception of artificial intelligence applications in marketing communication. Qualitative Market Research: An International Journal, 25(1), 125. https://doi.org/10.1108/qmr-03-2021-0040
Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160–175. https://doi.org/10.1016/j.compedu.2012.12.003
Choi, Y. (2021). A study of employee acceptance of artificial intelligence technology. European Journal of Management and Business Economics, 30(3), 318. https://doi.org/10.1108/ejmbe-06-2020-0158
Christopoulou, S.C. (2024). Machine learning models and technologies for evidence-based telehealth and smart care: A review. BioMedInformatics, 4(1), 754. https://doi.org/10.3390/biomedinformatics4010042
Dash, R., McMurtrey, M.E., Rebman, C., & Kar, U.K. (2019). Application of artificial intelligence in automation of supply chain management. Journal of Strategic Innovation and Sustainability, 14(3). https://doi.org/10.33423/jsis.v14i3.2105
DeLone, W., & McLean, E.R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9. https://doi.org/10.1080/07421222.2003.11045748
Diamantopoulos, A., & Siguaw, J.A. (2006). Formative versus reflective indicators in organisational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263–282. https://doi.org/10.1111/j.1467-8551.2006.00500.x
Diamantopoulos, A., & Winklhofer, H.M. (2001). Index construction with formative indicators: An alternative to scale development. Journal of Marketing Research, 38(2), 269–277. https://doi.org/10.1509/jmkr.38.2.269.18845
Dwivedi, Y.K., Rana, N.P., Jeyaraj, A., Clement, M., & Williams, M.D. (2017). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719. https://doi.org/10.1007/s10796-017-9774-y
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Freitas, J.D., Agarwal, S., Schmitt, B.H., & Haslam, N. (2023). Psychological factors underlying attitudes toward AI tools. Nature Human Behaviour, 7(11), 1845. https://doi.org/10.1038/s41562-023-01734-2
Frick, N., Mirbabaie, M., Stieglitz, S., & Salomon, J. (2021). Maneuvering through the stormy seas of digital transformation: The impact of empowering leadership on the AI readiness of enterprises. Journal of Decision Systems, 30, 235. https://doi.org/10.1080/12460125.2020.1870065
García-Madurga, M.-Á., & Grilló-Méndez, A.-J. (2023). Artificial intelligence in the tourism industry: An overview of reviews. Administrative Sciences, 13(8), 172. https://doi.org/10.3390/admsci13080172
Gursoy, D., Chi, O.H., 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
Hair Jr, J.F., Matthews, L.M., Matthews, R.L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: Updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123. https://doi.org/10.1504/IJMDA.2017.087624
Hair, J.F., Risher, J.J., Sarstedt, M., & Ringle, C.M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hanafiah, M.H. (2020). Formative vs. reflective measurement model: Guidelines for structural equation modelling research. International Journal of Analysis and Applications, 18(5), 876–889. https://doi.org/10.28924/2291-8639
Hanji, S., Desai, S., Hanji, S.S., Navalgund, N., & Tapashetti, R.B. (2023). Digital frontiers: Gen-Z’s adventure tourism in the metaverse. In World Conference on Information Systems for Business Management (pp. 479–490). Springer Nature Singapore.
Helo, P., & Hao, Y. (2021). Artificial intelligence in operations management and supply chain management: An exploratory case study. Production Planning & Control, 33(16), 1573–1590. https://doi.org/10.1080/09537287.2021.1882690
Hmoud, B.I., & Várallyai, L. (2020). Artificial intelligence in human resources information systems: Investigating its trust and adoption determinants. International Journal of Engineering and Management Sciences, 5(1), 749–765. https://doi.org/10.21791/IJEMS.2020.1.65
Hooda, A., Gupta, P., Jeyaraj, A., Giannakis, M., & Dwivedi, Y.K. (2022). The effects of trust on behavioural intention and use behaviour within e-government contexts. International Journal of Information Management, 67, 102553. https://doi.org/10.1016/j.ijinfomgt.2022.102553
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
Juvan, E., Grün, B., & Dolničar, S. (2023). Waste production patterns in hotels and restaurants: An intra-sectoral segmentation approach. Annals of Tourism Research Empirical Insights, 4(1), 100090. https://doi.org/10.1016/j.annale.2023.100090
Kashem, M.A., Shamsuddoha, M., Nasir, T., & Chowdhury, A.A. (2022). The role of artificial intelligence and blockchain technologies in sustainable tourism in the Middle East. Worldwide Hospitality and Tourism Themes, 15(2), 178. https://doi.org/10.1108/whatt-10-2022-0116
Kazak, A.N., Chetyrbok, P.V., & Oleinikov, N.N. (2020). Artificial intelligence in the tourism sphere. IOP Conference Series: Earth and Environmental Science, 421(4), 042020. https://doi.org/10.1088/1755-1315/421/4/042020
Klumpp, M., & Zijm, H. (2019). Logistics innovation and social sustainability: How to prevent an artificial divide in human-computer interaction. Journal of Business Logistics, 40(3), 265–278.https://doi.org/10.1111/jbl.12198
Königstorfer, F. & Thalmann, S. (2020). Applications of artificial intelligence in commercial banks — a research agenda for Behavioral Finance. Journal of Behavioral & Experimental Finance, 27, 100352. https://doi.org/10.1016/j.jbef.2020.100352
Lakhouit, A. (2025). Revolutionizing urban solid waste management with AI and IoT: a review of smart solutions for waste collection, sorting, and recycling. Results in Engineering, 104018. https://doi.org/10.1016/j.rineng.2025.104018
Lambert, S.I., Madi, M., Sopka, S., Lenes, A., Stange, H., Buszello, C.P., & Stephan, A. (2023). An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals. Digital Medicine, 6(1). https://doi.org/10.1038/s41746-023-00852-5
Liberato, P., Pereira, D., Liberato, D., Lopes, M.C. (2024). Technology Applications in the Competitiveness of Tourism Destinations. In J.V. Carvalho, A. Abreu, D. Liberato, J.A.D. Rebolledo (Eds.), Advances in Tourism, Technology and Systems. ICOTTS 2023. Smart Innovation, Systems and Technologies. Springer. https://doi.org/10.1007/978-981-99-9758-9_37
Liu, Z. (2003). Sustainable tourism development: A critique. Journal of Sustainable Tourism, 11(6), 459. https://doi.org/10.1080/09669580308667216
Lutfi, A., Alsyouf, A., Almaiah, M. A., Alrawad, M., Abdo, A.A. Khalil, Al-Khasawneh, A.L., Ibrahim, N., & Saad, M. (2022). Factors influencing the adoption of big data analytics in the digital transformation era: Case study of Jordanian SMEs. Sustainability, 14(3), 1802. https://doi.org/10.3390/su14031802
Mashapa, M.M., & Atanga, R.A. (2023). Geographic information systems: A toolbox for sustainable tourism in southern Africa. African Journal of Tourism Hospitality and Leisure, 12(4), 1192–1209. https://doi.org/10.46222/ajhtl.19770720.425
Mashapa, M.M., & Dube, K. (2023). Tourism recovery strategies from COVID-19 within national parks in Western Cape, South Africa. In COVID-19, Tourist Destinations and Prospects for Recovery: An African Perspective (pp. 205–223). Springer International Publishing. http://dx.doi.org/10.1007/978-3-031-24655-5_11
Mashapa, M.M., Maziriri, E.T., & Madinga, W. (2019). Modelling key selected multisensory dimensions on place satisfaction and place attachment among tourists in Victoria Falls, Zimbabwe. Geo Journal of Tourism and Geosites, 25(2), 580–594. http://dx.doi.org/10.30892/gtg.25224-382
Maziriri, E.T., Mashapa, M.M., Nyagadza, B., & Mabuyana, B. (2023). As far as my eyes can see: Generation Y consumers’ use of virtual reality glasses to determine tourist destinations. Cogent Business & Management, 10(3), 2246745. http://dx.doi.org/10.1080/23311975.2023.2246745
McCrae, R.R., & Costa Jr, P.T. (1989). Reinterpreting the Myers‐Briggs type indicator from the perspective of the five‐factor model of personality. Journal of Personality, 57(1), 17–40. https://doi.org/10.1111/j.1467-6494.1989.tb00759
Moodley, K., & Sookhdeo, L. (2025). The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector. South African Journal of Information Management 27(1), a1926. https://doi.org/10.4102/sajim.v27i1.1926
Morandini, S., Fraboni, F., Angelis, M.D., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023). The impact of artificial intelligence on workers’ skills: Upskilling and reskilling in organisations. Informing Science: The International Journal of an Emerging Transdiscipline, 26, 039–068. https://doi.org/10.28945/5078
Ngepah, N., Saba, C.S., & Mabindisa, N.G. (2021). Human capital and economic growth in South Africa: A cross-municipality panel data analysis. South African Journal of Economic and Management Sciences, 24(1), a3577. https://doi.org/10.4102/sajems.v24i1.3577
Nunkoo, R., & Ramkissoon, H. (2012). Structural equation modelling and regression analysis in tourism research. Current Issues in Tourism, 15(8), 777–802. https://doi.org/10.1080/13683500.2011.641947
Or, C. (2023). The Role of Attitude in the Unified Theory of Acceptance and Use of Technology: A Meta-analytic Structural Equation Modelling Study. International Journal of Technology in Education and Science, 7(4), 552-570. https://doi.org/10.46328/ijtes.504
Parisotto, A. (2015). Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all. UN Chronicle, 51(4), 19–20. https://doi.org/10.18356/9a54dfe4-en
Ramirez-Asis, E. Vilchez-Carcamo, J., Thakar, C., Phasinam, K., Kassanuk, T., & Naved, M. (2022). A review on role of Artificial Intelligence in food processing and manufacturing industry. Materials Today: Proceedings, 51, 2462–2465. https://doi.org/10.1016/j.matpr.2021.11.616
Ram, M., Aghahosseini, A., & Breyer, C. (2019). Job creation during the global energy transition towards a 100% renewable power system by 2050. Technological Forecasting and Social Change, 151, 119682. https://doi.org/10.1016/j.techfore.2019.06.008
Ringle, C.M., Sarstedt, M., & Schlittgen, R. (2014). Genetic algorithm segmentation in partial least squares structural equation modelling. OR Spectrum, 36, 251–276. https://doi.org/10.1007/s00291-013-0320-0
Rodiris, L.J.T. (2021). Tourism as a driver of development: Evidence from selected tourism stakeholders in Vigan City. Tourism and Sustainable Development Review, 2(1), 39. https://doi.org/10.31098/tsdr.v2i1.39
Rong, G., Mendez, A., Assi, E.B., Zhao, B., & Sawan, M. (2020). Artificial intelligence in healthcare: Review and prediction case studies. Engineering, 6(3), 291. https://doi.org/10.1016/j.eng.2019.08.015
Ruël, H., & Njoku, E. (2020). AI redefining the hospitality industry. Journal of Tourism Futures, 7(1), 53. https://doi.org/10.1108/jtf-03-2020-0032
Sarker, I.H. (2021). Data science and analytics: An overview from data-driven smart computing, decision-making, and applications perspective. SN Computer Science, 2(5). https://doi.org/10.1007/s42979-021-00765-8
Schukat, S., & Heise, H. (2021). Towards an understanding of the behavioural intentions and actual use of smart products among German farmers. Sustainability, 13(12), 6666. https://doi.org/10.3390/su13126666
Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, 52, 161–166. https://doi.org/10.1016/j.procir.2016.07.040
Scott, S.D., Plotnikoff, R.C., Karunamuni, N., Bize, R., & Rodgers, W.M. (2008). Factors influencing the adoption of an innovation: An examination of the uptake of the Canadian Heart Health Kit (HHK). Implementation Science, 3(1). https://doi.org/10.1186/1748-5908-3-41
Singh, A., Kanaujia, A., Singh, V.K., & Vinuesa, R. (2023). Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories. Sustainable Development, 32(1), 724. https://doi.org/10.1002/sd.2706
Štreimikienė, D., Švagždienė, B., Jasinskas, E., & Simanavičius, A. (2020). Sustainable tourism development and competitiveness: A systematic literature review. Sustainable Development, 29(1), 259. https://doi.org/10.1002/sd.2133
Suanpang, P., & Pothipassa, P. (2024). Integrating generative AI and IoT for sustainable smart tourism destinations. Sustainability, 16(17), 7435. https://doi.org/10.3390/su16177435
Talukder, M. (2012). Factors affecting the adoption of technological innovation by individual employees: An Australian study. Procedia — Social and Behavioural Sciences, 40, 52. https://doi.org/10.1016/j.sbspro.2012.03.160
Talukder, M. (2018). Causal paths to the acceptance of technological innovations by individual employees. Business Process Management Journal, 25(4), 582. https://doi.org/10.1108/bpmj-06-2016-0123
Tajvidi, M., Richard, M., Wang, Y., & Hajli, N. (2018). Brand co-creation through social commerce information sharing: the role of social media. Journal of Business Research, 121, 476–486. https://doi.org/10.1016/j.jbusres.2018.06.008
Tong, L., Yan, W., & Manta, O. (2022). Artificial intelligence influences intelligent automation in tourism: The mediating role of Internet of Things and environmental, social, and governance investment. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.853302
Tseng, S.(2025). Determinants of the Intention to Use Digital Technology. Information, 16(3), 170. https://doi.org/10.3390/info16030170
Turan, A. (2019). Does the unified theory of acceptance and use of technology (UTAUT) reduce resistance and anxiety of individuals towards a new system? Kybernetes, 49(5), 1381. https://doi.org/10.1108/k-08-2018-0450
Vannoy, S.A., & Palvia, P. (2010). The social influence model of technology adoption. Communications of the ACM, 53(6), 149. https://doi.org/10.1145/1743546.1743585
Veluru, C.S. (2023). Transforming travel planning: The impact of generative AI on itinerary optimisation, cost efficiency, and user experience. Journal of Artificial Intelligence & Cloud Computing, 2(4), 1. https://doi.org/10.47363/jaicc/2023(2)350
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425–478. https://doi.org/10.2307/30036540
Welukar, J.N., & Bajoria, G.P. (2021). Artificial intelligence in cyber security: A review. International Journal of Scientific Research in Science and Technology, 8(6), 488–491. https://doi.org/10.32628/ijsrst218675
Williams, M.D., Rana, N.P., & Dwivedi, Y.K. (2015). The unified theory of acceptance and use of technology (UTAUT): A literature review. Journal of Enterprise Information Management, 28(3), 443–488. https://doi.org/10.1108/JEIM-09-2014-0088
Wolske, K.S., Stern, P.C., & Dietz, T. (2017). Explaining interest in adopting residential solar photovoltaic systems in the United States: Toward an integration of behavioural theories. Energy Research & Social Science, 25, 134. https://doi.org/10.1016/j.erss.2016.12.023
Yin, J., Ji, Y., & Ni, Y. (2023). Anxious hotel employees in China: Engaged or exhausted? Multiple effects of workplace anxiety. International Journal of Hospitality Management, 114, 103577. https://doi.org/10.1016/j.ijhm.2023.103577
Zahidi, F., Kaluvilla, B.B., & Mulla, T. (2024). Embracing the new era: Artificial intelligence and its multifaceted impact on the hospitality industry. Journal of Open Innovation Technology Market and Complexity, 10(4), 100390. https://doi.org/10.1016/j.joitmc.2024.100390