Abd Majid, F., & Mohd Shamsudin, N. (2019). Identifying factors affecting acceptance of virtual reality in classrooms based on the technology acceptance model (TAM). Asian Journal of University Education, 15(2), 1-10.

Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2019). Examining the main mobile learning system drivers’ effects: A mix empirical examination of both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM). In International Conference on Advanced Intelligent Systems and Informatics (pp. 406-417). Springer, Cham.

Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology Acceptance Model in M-learning context: A systematic review. Computers & Education, 125(October), 389-412.

Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alamri, M. M., Aljarboa, N. A., Alturki, U., & Aljeraiwi, A. A. (2019). Integrating technology acceptance model with innovation diffusion theory: An empirical investigation on students’intention to use E-learning systems. Ieee Access, 7(March), 26797-26809.

Agawal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 24(4), 665-694.

Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research:Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173-1182.

Blaga, P., & Iancu, I. (2021). Applications of Virtual Reality in Communication. A Top-Journals Theoretical Overview. Styles of Communication, 13(1), 9-42.

Carlo, A. D., Hosseini Ghomi, R., Renn, B. N., & Areán, P. A. (2019). By the numbers: ratings and utilization of behavioral health mobile applications. NPJ digital medicine, 2(1), 1-8.

Capasa, L., Zulauf, K., & Wagner, R. (2022). Virtual Reality Experience of Mega Sports Events: A Technology Acceptance Study. Journal of Theoretical and Applied Electronic Commerce Research, 17(2), 686-703.

Cheong, H. J., & Mohammed-Baksh, S. (2019). US consumer mcommerce involvement: using in-depth interviews to propose an acceptance model of shopping apps-based m-commerce. Cogent Business & Management, 6(1), 1674077.

Choudry, S., Qureshi, I., & Rizvi, S. T. (2020). The Effect of Subjective Norms on Desire to Purchase Through Applications:The Moderating Role of Electronic Word-of-Mouth. RADS Journal of Business Management, 2(2), 124-139.

Choi, B. H. (2021). A Study on Acceptance of Online Concerts Based on Mobile Augmented Reality: Focusing on the Extended Technology Acceptance Model. Journal of Digital Convergence, 19(11), 315-325.

Davis, F. D. (1989). Perceived usefulness, perceived easy of use, and user acceptance of information technology. MIS Quarterly, 3(3), 319-340.

Fedorko, I., Bacik, R., & Gavurova, B. (2018). Technology acceptance model in e-commerce segment. Management &Marketing, 13(4), 1242-1256.

Gbongli, K., Xu, Y., & Amedjonekou, K. M. (2019). Extended technology acceptance model to predict mobile-based money acceptance and sustainability: A multi-analytical structural equation modeling and neural network approach. Sustainability, 11(13), 3639.

Geng, L., Li, Y., & Xue, Y. (2022). Will the Interest Triggered by Virtual Reality (VR) Turn into Intention to Travel (VR vs. Corporeal)? The Moderating Effects of Customer Segmentation. Sustainability, 14(12), 7010.

Ginters, E., & Dimitrovs, E. (2021). Latent impacts on digital technologies sustainability assessment and development. In World Conference on Information Systems and Technologies (pp. 3-13). Springer, Cham.

Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572-2593.

Herrera‐Viedma, E., Pasi, G., Lopez‐Herrera, A. G., & Porcel, C. (2006). Evaluating the information quality of web sites: A methodology based on fuzzy computing with words. Journal of the American Society for Information Science and Technology, 57(4), 538-549.

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.

Jang, B. S. (2020). A Study on the Factors Affecting the Characteristics of Mobile App for Disabled Libraries' Full-text Service on User's Satisfaction and Reuse Intention. Journal of Korean Library and Information Science Society, 51(1), 329-347.

Kim, J., & Kang, E. (2022). An Empirical Study of How Both Environmental Awareness and Interest in Artwork Can Be Incorporated into the Interior Design of Urban Hotels. Sustainability, 14(2), 1005.

Kim, S. G., & Hong, S. H. (2021). The impact of organizational management factors on direct employee consultation in distribution channels. Journal of Distribution Science, 19(6), 21-28.

Knox, L., Gemine, R., Rees, S., Bowen, S., Groom, P., Taylor, D., & Lewis, K. (2021). Using the Technology Acceptance Model to conceptualise experiences of the usability and acceptability of a self-management app (COPD. Pal®) for Chronic Obstructive Pulmonary Disease. Health and Technology, 11(1), 111-117.

Lim, Y. S. (2021). The effect of golf application characteristics on consumer immersion enhancement and consumption behavior:Changes in fitness after Covid-19. Journal of the Korean Applied Science and Technology, 38(5), 1255-1264.

Mascret, N., Montagne, G., Devrièse-Sence, A., Vu, A., & Kulpa, R. (2022). Acceptance by athletes of a virtual reality headmounted display intended to enhance sport performance. Psychology of Sport and Exercise, 61(July), 102201.

Mehra, A., Paul, J., & Kaurav, R. P. S. (2021). Determinants of mobile apps adoption among young adults: theoretical extension and analysis. Journal of Marketing Communications, 27(5), 481-509.

Meechang, K., Leelawat, N., Tang, J., Kodaka, A., &Chintanapakdee, C. (2020). The acceptance of using information technology for disaster risk management: A systematic review. Engineering Journal, 24(4), 111-132.

Niknejad, N., Ismail, W. B., Mardani, A., Liao, H., & Ghani, I. (2020). A comprehensive overview of smart wearables: The state of the art literature, recent advances, and future challenges. Engineering Applications of Artificial Intelligence, 90(April), 103529.

Oturakci, M. (2019). New Technology Acceptance Model Based on Innovation Characteristics with AHP–TOPSIS Approach. International Journal of Innovation and Technology Management, 16(7), 1950047.

Oyman, M., Bal, D., & Ozer, S. (2022). Extending the technology acceptance model to explain how perceived augmented reality affects consumers' perceptions. Computers in Human Behavior, 128(March), 107127.

Özgen, C., & Reyhan, S. (2020). Satisfaction, utilitarian performance and learning expectations in compulsory distance education: A test of mediation effect. Educational Research and Reviews, 15(6), 290-297.

Portenhauser, A. A., Terhorst, Y., Schultchen, D., Sander, L. B., Denkinger, M. D., Stach, M., & Messner, E. M. (2021). Mobile apps for older adults: systematic search and evaluation within online stores. JMIR aging, 4(1), e23313.

Ravinder, B., & Saraswathi, A. B. (2020). Literature Review of Cronbach alpha coefficient (Α) And Mcdonald's Omega Coefficient (Ω). European Journal of Molecular & Clinical Medicine, 7(6), 2943-2949.

Rönnby, S., Lundberg, O., Fagher, K., Jacobsson, J., Tillander, B., Gauffin, H., & Timpka, T. (2018). mHealth self-report monitoring in competitive middle-and long-distance runners:qualitative study of long-term use intentions using the technology acceptance model. JMIR mHealth and uHealth, 6(8), e10270.

Sadiq, S., Umer, M., Ullah, S., Mirjalili, S., Rupapara, V., & Nappi, M. (2021). Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning. Expert Systems with Applications, 181(November), 115111.

Sagnier, C., Loup-Escande, E., Lourdeaux, D., Thouvenin, I., &Valléry, G. (2020). User acceptance of virtual reality: an extended technology acceptance model. International Journal of Human–Computer Interaction, 36(11), 993-1007.

Sánchez-Prieto, J. C., Olmos-Migueláñez, S., & García-Peñalvo, F. J. (2017). MLearning and pre-service teachers: An assessment of the behavioral intention using an expanded TAM model. Computers in Human Behavior, 72(July), 644-654.

Seddon, P., & Kiew, M. Y. (1996). A partial test and development of DeLone and McLean's model of IS success. Australasian Journal of Information Systems, 4(1), 90-109.

Shah, A. M., Yan, X., Shah, S. A., & Ali, M. (2020). Customers'perceived value and dining choice through mobile apps in Indonesia. Asia Pacific Journal of Marketing and Logistics, 33(1), 1-28.

Shemesh, T., & Barnoy, S. (2020). Assessment of the intention to use mobile health applications using a technology acceptance model in an Israeli adult population. Telemedicine and e-Health, 26(9), 1141-1149.

Talantis, S., Shin, Y. H., & Severt, K. (2020). Conference mobile application: Participant acceptance and the correlation with overall event satisfaction utilizing the technology acceptance model (TAM). Journal of Convention & Event Tourism, 21(2), 100-122.

Tang, A. K. (2019). A systematic literature review and analysis on mobile apps in m-commerce: Implications for future research. Electronic Commerce Research and Applications, 37(September-October), 100885.

Vahdat, A., Alizadeh, A., Quach, S., & Hamelin, N. (2021). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2), 187-197.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3), 425-278.

Widianto, M. H. (2020). Analysis of online work exchange application using technology acceptance model and innovation diffusion theory. Journal of Theoretical and Applied Information Technology, 98(10), 1697-1711.

Woo, E. J., & Kang, E. (2021). Employee environmental capability and its relationship with corporate culture. Sustainability, 13(16), 8684.

Zhonggen, Y., & Xiaozhi, Y. (2019). An extended technology acceptance model of a mobile learning technology. Computer Applications in Engineering Education, 27(3), 721-732.