Abu-AlSondos, I. A., Salameh, A. A., Alkhwaldi, A. F., Mushtaha4, A. S., Shehadeh, M., & Al-Junaidi, A. (2023). Evaluating Mobile E-Learning Systems Acceptance: An Integrated Model. International Journal of Interactive Mobile Technologies, 17(16), 30–47.
Abu-Taieh, E. M., Alhadid, I., Abu-Tayeh, S., Masa’deh, R. E., Alkhawaldeh, R. S., Khwaldeh, S., & Alrowwad, A. A. (2022). Continued intention to use of M-Banking in Jordan by integrating UTAUT, TPB, TAM and service quality with ML. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 120.
Ahmad, K., & Sharma, B. K. (2023). Online Satisfaction and Hotel Booking Intentions: An Information System Success Model Perspective. Journal of Quality Assurance in Hospitality and Tourism, 00(00), 1–33.
Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50, 28–44.
Azimi Asmaroud, S. (2022). Preservice Elementary Teachers’ Categorical Reasoning and Knowledge Transfer on Definition Tasks with Two Dimensional Figures. Theses and Dissertations. 1588.
https://ir.library.illinoisstate.edu/etd/1588
Benaddi, L., Ouaddi, C., Jakimi, A., & Ouchao, B. (2024). Towards A Software Factory for Developing the Chatbots in Smart Tourism Mobile Applications. Procedia Computer Science, 231, 275–280.
Calvignac, C., & Smolinski, J. (2020). How can the use of a mobile application change the course of a sightseeing tour? A question of pace, gaze and information processing. Tourist Studies, 20(1), 49-74.
Ch’ng, E., Cai, S., Feng, P., & Cheng, D. (2023). Social Augmented Reality: Communicating via Cultural Heritage. Journal on Computing and Cultural Heritage, 16(2).
Chen, C.-C., & Tsai, J.-L. (2019). Determinants of behavioral intention to use the Personalized Location-based Mobile Tourism Application: An empirical study by integrating TAM with ISSM. Future Generation Computer Systems, 96, 628–638.
Danish, & Wang, Z. (2018). Dynamic relationship between tourism, economic growth, and environmental quality. Journal of Sustainable Tourism, 26(11), 1928–1943.
Del Vecchio, P., Secundo, G., & Passiante, G. (2018). Analyzing Big Data through the lens of customer knowledge management. Kybernetes, 47(7), 1348–1362.
Fun, C. S., Zaaba, Z. F., & Ali, A. S. (2021). Usable Tourism Application: Malaysia Attraction Travel Application (MATA). 2021 International Conference on Information Technology (ICIT), 888–892.
Garcia-Lopez, E., Garcia-Cabot, A., de-Marcos, L., & Moreira-Teixeira, A. (2021). An Experiment to Discover Usability Guidelines for Designing Mobile Tourist Apps. Wireless Communications and Mobile Computing, 2021.
Guleria, A., Joshi, R., & Adil, M. (2024). The impact of memorable tourism experiences on customer-based destination brand equity: the mediating role of destination attachment and overall satisfaction. Journal of Hospitality and Tourism Insights, 7(4), 1994–2013.
Hamouda, M. (2022). Mobile Applications in Tourism: Examining the Determinants of Intention to Use. International Journal of Technology and Human Interaction (IJTHI), 18(1), 1–13.
Hemmati-Asiabaraki, M., & Nazari-Shirkouhi, S. (2021). Evaluating success of tourism mobile APPs trough assessing functional criteria using fuzzy ANOVA. Tourism Management Studies, 16(56), 421-461.
Hemmati-Asiabaraki, M., Nazari-Shirkouhi, S., & Bozorgi-Amiri, A. (2022). Determining the technical requirements importance for developing a tourism mobile app using the quality function deployment and fuzzy cognitive mapping approach. Journal of Tourism and Development, 11(2), 1-17.
Ho, Y. H., Alam, S. S., Masukujjaman, M., Lin, C. Y., Susmit, S., & Susmit, S. (2022). Intention to Adopt AI-Powered Online Service Among Tourism and Hospitality Companies. International Journal of Technology and Human Interaction, 18(1), 1–19.
Horng, J.-S., Hsu, H., & Tsai, C.-Y. (2018). An assessment model of corporate social responsibility practice in the tourism industry. Journal of Sustainable Tourism, 26(7), 1085–1104.
Huang, Y.-C., Chang, L. L., Yu, C.-P., & Chen, J. (2019). Examining an extended technology acceptance model with experience construct on hotel consumers’ adoption of mobile applications. Journal of Hospitality Marketing & Management, 28(8), 957–980.
Imtiaz, H., & Suki, N. M. (2022). Mobile Travel Apps Engagement: Measuring Tourists’ Perception. International Journal of Interactive Mobile Technologies, 16(14), 171–181.
Ivanochko, O., Gregus, M., Szałek, M., Roliński, J., & Stoliński, B. (2021). City Tourism Services with Mobile Geolocation Sharing. Procedia Computer Science, 191, 49–56.
Jeon, S., Lee, S., Xu, Y., Jeon, S., & Lee, S. (2024). Investigating Tourists’ Mobile Technology Resistance Behavior: An Application of Innovation Resistance Theory Investigating Tourists’ Mobile Technology Resistance Behavior: An Application of Innovation Resistance Theory ABSTRACT. 0098. https://doi.org/10.1080/1528008X.2024.2344634
Kahraman, C., & Onar, S. Ç. (2015). Intelligent techniques in engineering management (Vol. 87). Springer.
Knox, C., Gray, S., Zareei, M., Wentworth, C., Aminpour, P., Wallace, R. V, Hodbod, J., & Brugnone, N. (2023). Modeling complex problems by harnessing the collective intelligence of local experts: New approaches in fuzzy cognitive mapping. Collective Intelligence, 2(4), 1–23. https://doi.org/10.1177/26339137231203582
Kosko, B. (1986). Fuzzy cognitive maps. International Journal of Man-Machine Studies, 24(1), 65–75.
Latifi, T., Li, J., Blum, S. C., & Fowler, D. (2024). Determinants of Users’ Intention to Visit a Destination: A Virtual Reality Quality Framework. Journal of Quality Assurance in Hospitality & Tourism, 1-25.
https://doi.org/10.1080/1528008X.2024.2440010
Lei, S. I., Wang, D., & Law, R. (2019). Perceived technology affordance and value of hotel mobile apps: A comparison of hoteliers and customers. Journal of Hospitality and Tourism Management, 39, 201–211.
Lew, S., Tan, G. W.-H., Loh, X.-M., Hew, J.-J., & Ooi, K.-B. (2020). The disruptive mobile wallet in the hospitality industry: An extended mobile technology acceptance model. Technology in Society, 63, 1–22.
Li, J., & Li, Y. (2024). Intelligent Tourism Information Interaction Design and Service Strategy Based on SOM Clustering Algorithm. 21, 178–192.
Madeira, S., Branco, F., Gonçalves, R., Au-Yong-Oliveira, M., Moreira, F., & Martins, J. (2021). Accessibility of mobile applications for tourism—is equal access a reality? Universal Access in the Information Society, 20(3), 555–571.
Magasic, M., & Gretzel, U. (2020). Travel connectivity. Tourist Studies, 20(1), 3–26. https://doi.org/10.1177/1468797619899343
Mohamad, M. A., Abdul Latip, M. S., Azeman, A. S., & Muhamad Yew, N. A. (2023). Behavioural Intention of Online Mobile Hotel Booking: Analyzing The Moderating Effect of Perceived Cost. International Journal of Academic Research in Business and Social Sciences, 13(5), 1776–1793.
Paddison, B., & Walmsley, A. (2018). New Public Management in tourism: a case study of York. Journal of Sustainable Tourism, 26(6), 910–926.
Perovic, Ð., Moric, I., Pekovic, S., Stanovcic, T., Roblek, V., & Bach, M. P. (2018). The antecedents of tourist repeat visit intention: systemic approach. Kybernetes, 47(9), 1857–1871.
Rivandi, E., & Oskouei, R. J. (2025). A novel approach for developing intrusion detection systems in mobile social networks.
Journal of Soft Computing and Decision Analytics, 3(1), 158-170.
https://doi.org/10.31181/jscda31202576
Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26.
Shrestha, D., Wenan, T., Adhikari, B., Shrestha, D., Khadka, A., & Jeong, S. R. (2021). Design and analysis of mobile-based tourism security application: concepts, artifacts and challenges. International Conference on Communication, Computing and Electronics Systems, 201–219.
Sim, J.-J., Tan, G. W.-H., Wong, J. C. J., Ooi, K.-B., & Hew, T.-S. (2014). Understanding and predicting the motivators of mobile music acceptance–a multi-stage MRA-artificial neural network approach. Telematics and Informatics, 31(4), 569–584.
Sun, S., Law, R., & Schuckert, M. (2020). Mediating effects of attitude, subjective norms and perceived behavioural control for mobile payment-based hotel reservations. International Journal of Hospitality Management, 84, 1–8.
Szukits, Á., & Móricz, P. (2024). Towards data-driven decision making: the role of analytical culture and centralization efforts. In Review of Managerial Science (Vol. 18, Issue 10). Springer Berlin Heidelberg. https://doi.org/10.1007/s11846-023-00694-1
Tavana, M., Nazari-Shirkouhi, S., Mashayekhi, A., & Mousakhani, S. (2022, March). An integrated data mining framework for organizational resilience assessment and quality management optimization in trauma centers. In Operations Research Forum, 3(1), 1-33. https://doi.org/10.1007/s43069-022-00132-0
Tran, L. T. T., Ly, P. T. M., & Le, L. T. (2019). Hotel choice: A closer look at demographics and online ratings. International Journal of Hospitality Management, 82, 13–21.
Vasconcelos, C., Reis, J. L., & Teixeira, S. F. (2021). Use of Mobile Applications in the Tourism Sector in Portugal-Intention to Visit the Algarve Region. World Conference on Information Systems and Technologies, 435–449.
Wong, E., Leung, R., & Law, R. (2020). Significance of the dimensions and attributes of hotel mobile website from the perceptions of users. International Journal of Hospitality & Tourism Administration, 21(1), 15–37.
Zhou, T., Song, Y., & Zhou, P. (2022). Continued use intention of travel apps: from the perspective of control and motivation. Technology Analysis & Strategic Management, 34(6), 703–716.