Open Access
| Issue |
E3S Web Conf.
Volume 664, 2025
4th International Seminar of Science and Applied Technology: “Green Technology and AI-Driven Innovations in Sustainability Development and Environmental Conservation” (ISSAT 2025)
|
|
|---|---|---|
| Article Number | 09001 | |
| Number of page(s) | 9 | |
| Section | Sustainable Development | |
| DOI | https://doi.org/10.1051/e3sconf/202566409001 | |
| Published online | 20 November 2025 | |
- D. Buhalis, Y. Sinarta, Real-time co-creation and nowness service: lessons from tourism and hospitality. J. Travel Tour. Mark. 36, 563–582 (2019) [Google Scholar]
- I. Tussyadiah, A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism. Ann. Tour. Res. 81, 102883 (2020) [CrossRef] [Google Scholar]
- U. Gretzel, The Smart DMO: A new step in the digital transformation of destination management organizations. Eur. J. Tour. Res. 30, 3002 (2022) [Google Scholar]
- M.M. Mariani, S.F. Wamba, Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies. J. Bus. Res. 121, 338–352 (2020) [Google Scholar]
- A.H. Huang, H. You, Artificial intelligence in financial decision-making, in Handbook of Financial Decision Making (Edward Elgar Publishing, 2023), pp. 315–335 [Google Scholar]
- M. Sigala, New technologies in tourism: From multi-disciplinary to anti-disciplinary advances and trajectories. Tour. Manag. Perspect. 25, 151–155 (2018) [Google Scholar]
- S.S. Das, S. Mishra, Z.L. Mayaluri, G. Panda, Dependable and secure AI-driven FinTech adoption for rural tourism & entrepreneurship in Odisha: A cyber-physical systems perspective. SN Comput. Sci. 6, 439 (2025) [Google Scholar]
- Y. Wang, X. Sun, Q. Zhang, Can FinTech improve the efficiency of commercial banks?—An analysis based on big data. Res. Int. Bus. Finance 55, 101338 (2021) [Google Scholar]
- H. Stewart, J. Jürjens, Data security and consumer trust in FinTech innovation in Germany. Inf. Comput. Secur. 26, 109–128 (2018) [Google Scholar]
- U. Chawla, R. Mohnot, H.V. Singh, A. Banerjee, The mediating effect of perceived trust in the adoption of cutting-edge financial technology among digital natives in the post- COVID-19 era. Economies 11, 286 (2023) [Google Scholar]
- J.A. Castañeda, D.M. Frías-Jamilena, M.A. Rodríguez-Molina, A. Jones, Online marketing effectiveness: The influence of information load and digital literacy, a cross- country comparison. Electron. Mark. 30, 759–773 (2020) [Google Scholar]
- D. Zhong, Y. Wang, L. Wang, Q. Sun, M. Wang, Information overload in digital tourism marketing: Challenges and opportunities for enhancing purchase intentions. Inf. Dev. (2025), 02666669251334136 [Google Scholar]
- W. Liu, R. Xu, S. Li, Exploring the digital psychology of environmental sustainability: The mediating influence of technological innovation in advanced physical education development in China. BMC Psychol. 12, 176 (2024) [Google Scholar]
- J. Higham, G. Miller, Transforming societies and transforming tourism: Sustainable tourism in times of change. J. Sustain. Tour. 26, 1–8 (2018) [Google Scholar]
- J.F. Hair, J.J. Risher, M. Sarstedt, C.M. Ringle, When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31, 2–24 (2019) [CrossRef] [Google Scholar]
- J. Henseler, G. Hubona, P.A. Ray, Using PLS path modeling in new technology research: Updated guidelines. Ind. Manag. Data Syst. 116, 2–20 (2016) [CrossRef] [Google Scholar]
- N. Kock, Common method bias in PLS-SEM: A full collinearity assessment approach. Int. J. e-Collab. 11, 1–10 (2015) [Google Scholar]
- J.F. Hair Jr., G.T.M. Hult, C.M. Ringle, M. Sarstedt, N.P. Danks, S. Ray, An introduction to structural equation modeling, in Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook (Springer International Publishing, Cham, 2021), pp. 1–29 [Google Scholar]
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