Exploring the factors affecting the adoption of the smart campus: an analytical study of the opinions of a sample of teaching staff at University of Mosul
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Abstract
The current study seeks to explore the most important factors affecting the adoption of the smart campus at the University of Mosul, by relying on the Unified Theory of Acceptance and Use of Technology (UTAUT) as a conceptual model for the study. A questionnaire was adapted in order to conduct a survey of the opinions of a sample of teachers at the University of Mosul, based on the five-point Likert scale, where a (373) form was collected. This study is also based on the use of the cross-sectional study in examining the field under study. Where the data collection process began in December (2022). Two programs were used for statistical analysis in this study: (SmartPLS) and (SPSS). The results of the current study indicate that there is a positive and significant effect of expected performance, expected effort, social influence and facilitating factors on the behavioral intention to adopt the smart campus at the University of Mosul.
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Ahmed, V., Abu Alnaaj, K., & Saboor, S., (2020), An Investigation into Stakeholders’ Perception of Smart Campus Criteria: The American University of Sharjah as a Case Study. Sustainability, 12(12), 5187. doi:10.3390/su12125187
Ali, A. M. M., & Authors, A. How Internet-of-Things (IoT) making the university campuses smart? QA higher education (QAHE) perspective. doi:https://doi.org/10.1109/CCWC.2018.8301774
Almarashdeh, I., Eldaw, K. E., Alsmadi, M., Alghamdi, F., Jaradat, G., Althunibat, A.,... Mohammad, R. M. A. J., (2021), The adoption of bitcoins technology: The difference between perceived future expectation and intention to use bitcoins: Does social influence matter? International Journal of Electrical Computer Engineering, 11(6), 5351. doi: DOI: 10.11591/ijece.v11i6.pp5351-5366
Bougie, R., & Sekaran, U., (2019), Research methods for business: A skill building approach: John Wiley & Sons.
Dutta, U. P., Gupta, H., & Sengupta, P. P. J., (2019), ICT and health outcome nexus in 30 selected Asian countries: Fresh evidence from panel data analysis. Technology in Society, 59, 101184. doi:https://doi.org/10.1016/j.techsoc.2019.101184
Gutiérrez, M. G. J., (2021), Coverage and Performance Analysis for a LoRaWAN Network on a Smart Campus. Paper presented at the 2021 IEEE International Summer Power Meeting/International Meeting on Communications and Computing (RVP-AI/ROC&C).
Hair, J. F., Page, M., & Brunsveld, N., (2019), Essentials of business research methods: Routledge.
Hidayat, W., Hendayun, M., Sastrosubroto, A. S., Hidayat, R., & Haris, S., (2021), Developing Smart Campus Readiness Instrument Based on Pagliaro’s Smart Campus Model and Smart City Council’s Readiness Framework. Paper presented at the Journal of Physics: Conference Series.
Hunde, M. K., Demsash, A. W., & Walle, A. D. J. I. i. M. U., (2023), Behavioral intention to use e-learning and its associated factors among health science students in Mettu university, southwest Ethiopia: Using modified UTAUT model. 36, 101154.
Imbar, R. V., Supangkat, S. H., Langi, A. Z., & Arman, A. A. J., (2022), Development of an instrument to measure smart campus levels in Indonesian institutions of higher education. Global Journal of Engineering Education
24(2).
Jr, J. F. H., 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). doi:10.1504/ijmda.2017.087624
Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. J., (2009), Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model. International journal of medical informatics
78(6), 404-416. doi:https://doi.org/10.1016/j.ijmedinf.2008.12.005
Min-Allah, N., & Alrashed, S., (2020), Smart campus—A sketch. In.
Muhamad, W., Kurniawan, N. B., & Yazid, S., (2017), Smart campus features, technologies, and applications: A systematic literature review. Paper presented at the 2017 International conference on information technology systems and innovation (ICITSI).
Sekaran, U., & Bougie, R., (2016), Research methods for business: A skill building approach: john wiley & sons.
Silva-da-Nóbrega, P. I., Chim-Miki, A. F., & Castillo-Palacio, M. J., (2022), A Smart Campus Framework: Challenges and Opportunities for Education Based on the Sustainable Development Goals. Sustainability
14(15), 9640. doi:https://doi.org/10.3390/su14159640
Syafuan, W. M., Husin, R. M., & Fauzi, M. F. M., (2022), Smart Campus Geographic Information System (GIS) Mobile Application Reporting System. Paper presented at the IOP Conference Series: Earth and Environmental Science.
Veeramanickam, M. R., & Mohanapriya, M., (2014), IOT enabled Futures Smart Campus with effective E-Learning : i-Campus. Int. J. Eng. Technol., 3(4), 14-20. doi:10.5176/2251-3701
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. J., (2003), User acceptance of information technology: Toward a unified view. MIS quarterly
425-478. doi:https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y., & Xu, X. J., (2(012 Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178. doi:https://doi.org/10.2307/41410412
Villegas-Ch, W., Palacios-Pacheco, X., & Luján-Mora, S., (2019), Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus. Sustainability, 11(10). doi:10.3390/su11102857
Wang, F.-L., (2017), The application of big data in the construction of smart campus information. Paper presented at the Proceedings of the Asia-Pacific Engineering and Technology Conference (APETC 2017), Kuala Lumper, Malaysia.
Wu, X. Q., (2019), Determinants and Consequences of the Use of Digital Finance Platform for Personal Financial Management in Rural China. Curtin University,