Open Access
| Issue |
E3S Web Conf.
Volume 660, 2025
The 1st International Conference on Green Energy Policy and Digital Society 2025 (1st Green-Digi 2025)
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 9 | |
| Section | Digital Innovations for Energy Efficiency and Green Policy Implementation | |
| DOI | https://doi.org/10.1051/e3sconf/202566001002 | |
| Published online | 10 November 2025 | |
- E. C. S. Ku and C.-D. Chen, “Artificial intelligence innovation of tourism businesses: From satisfied tourists to continued service usage intention,” Int J Inf Manage, vol. 76, p. 102757, Jun. 2024, doi: 10.1016/j.ijinfomgt.2024.102757. [Google Scholar]
- Y. K. Dwivedi et al., “Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy,” Int J Inf Manage, vol. 57, p. 101994, Apr. 2021, doi: 10.1016/j.ijinfomgt.2019.08.002. [CrossRef] [Google Scholar]
- Y. Gunawan, M. F. Akbar, and E. F. Corral, “WTO Trade War Resolution for Japan’s Chemical Export Restrictions to South Korea,” Padjadjaran J. Ilmu Huk., vol. 9, no. 3, pp. 408–431, 2022. [Google Scholar]
- Z. Mo, M. T. Liu, R. Chark, S. Zeng, and X. Song, “How AI adoption in human resource management practices can enhance tourism employees’ organizational commitment,” Journal of Hospitality and Tourism Management, vol. 63, pp. 54–67, Jun. 2025, doi: 10.1016/j.jhtm.2025.03.003. [Google Scholar]
- H. G. Musa, I. Fatmawati, N. Nuryakin, and M. Suyanto, “Marketing research trends using technology acceptance model (TAM): a comprehensive review of researches (2002–2022),” Cogent Business & Management, vol. 11, no. 1, Dec. 2024, doi: 10.1080/23311975.2024.2329375. [Google Scholar]
- F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, vol. 13, no. 3, p. 319, Sep. 1989, doi: 10.2307/249008. [CrossRef] [Google Scholar]
- E. C. Ocloo, R. Müller, and I. Sewornu Coffie, “B2B e-commerce adoption and its effect on SMEs’ brand equity: The integrative perspective of TOE and TAM,” Social Sciences & Humanities Open, vol. 12, p. 101731, 2025, doi: 10.1016/j.ssaho.2025.101731. [Google Scholar]
- A. A. Alalwan, Y. K. Dwivedi, and N. P. Rana, “Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust,” Int J Inf Manage, vol. 37, no. 3, pp. 99–110, Jun. 2017, doi: 10.1016/j.ijinfomgt.2017.01.002. [Google Scholar]
- K. Förster and T. Strauss, “Decentralised machine learning in healthcare and life sciences: Applying the technology acceptance model,” Telematics and Informatics Reports, vol. 18, p. 100198, Jun. 2025, doi: 10.1016/j.teler.2025.100198. [Google Scholar]
- P. A. Aidonojie, T. A. Majekodunmi, and O. J. Adeyemi-Balogun, “The Legal Issues Concerning the Operation of Fin-Tech in Nigeria”, JMH, vol. 30, no. 2, pp. 78–97, Oct. 2023. [Google Scholar]
- B. Gao and L. Huang, “Understanding interactive user behavior in smart media content service: An integration of TAM and smart service belief factors,” Heliyon, vol. 5, no. 12, p. e02983, Dec. 2019, doi: 10.1016/j.heliyon.2019.e02983. [Google Scholar]
- S. Park and B. Stangl, “Augmented reality experiences and sensation seeking,” Tour Manag, vol. 77, p. 104023, Apr. 2020, doi: 10.1016/j.tourman.2019.104023. [Google Scholar]
- M. Hansen, A.-M. Hjalager, and A. Fyall, “Adventure tourism innovation: Benefitting or hampering operations?,” Journal of Outdoor Recreation and Tourism, vol. 28, p. 100253, Dec. 2019, doi: 10.1016/j.jort.2019.100253. [Google Scholar]
- R. J. Holden and B.-T. Karsh, “The Technology Acceptance Model: Its past and its future in health care,” J Biomed Inform, vol. 43, no. 1, pp. 159–172, Feb. 2010, doi: 10.1016/j.jbi.2009.07.002. [Google Scholar]
- T. Al-Billeh, R. Hmaidan, A. Al-Hammouri, and M. AL Makhmari, “The Risks of Using Artificial Intelligence on Privacy and Human Rights: Unifying Global Standards”, JMH, vol. 31, no. 2, pp. 333–350, Nov. 2024. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.