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Analyzing factors influencing IoT adoption in higher educational institutions in Saudi Arabia using a modified TAM model

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Abstract

IoT is among the most recent innovation that is increasingly growing and being implemented in different areas like higher educational institutions. IoT supports faculty members and students in a dynamic learning environment and influences their collaboration and communication. This innovation has created new excitement and challenges for higher education professionals. Nevertheless, the literature on IoT context focuses more on the technical aspect of IoT and does not give more attention to the behavioral part that explains the users' behavioral intention toward IoT adoption. The main objective of this study is to find the crucial elements that affect students' intention to adopt IoT technologies in Saudi Arabia's higher education institutions. An extended approach based on the Technology Acceptance Model (TAM), as well as six external factors: knowledge sharing (KS), mobility (MOB), interactivity (INTR), innovativeness (INNOV), training (TR), and virtual reality (VR) is offered to achieve this goal. This study employs a questionnaire method for evaluating students' perceptions toward various IoT applications or services used in a saudi higher educational institution. The study can help researchers further investigate the issues affecting IoT adoption in higher education. Also, it creates trustworthy literature to guide decision-makers to adopt IoT to improve and facilitate the learning process and to increase the adoption of IoT technologies academic context.

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Data availability

The datasets used and analyzed during the current study are available upon reasonable request from the corresponding author.

References

  • Abbasy, M. B., & Quesada, E. V. (2017). Predictable Influence of IoT (Internet of Things) in the Higher Education. International Journal of Information and Education Technology, 7(12), 914–920.

    Article  Google Scholar 

  • Abd Majid, F., & Mohd Shamsudin, N. (2019). Identifying Factors Affecting Acceptance of Virtual Reality in Classrooms Based on Technology Acceptance Model (TAM). Asian Journal of University Education, 15(2), 52–60.

    Article  Google Scholar 

  • Abdullah, J., Mohd-Isa, W. N., & Samsudin, M. A. (2019). Virtual Reality to Improve Group Work Skill and Self-Directed Learning in Problem-Based Learning Narratives. Virtual Reality, 23(4), 461–471 http://link.springer.com/10.1007/s10055-019-00381-1

    Article  Google Scholar 

  • Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179–211.

    Article  Google Scholar 

  • Aldowah, H., Rehman, S. U., Ghazal, S., & Umar, I. N. (2017). Internet of Things in Higher Education: A Study on Future Learning. Journal of Physics: Conference Series, 892(1), 012017.

    Google Scholar 

  • Aleryani, A. (2018). The Impact of IoT on the Higher Education. Saba Journal Of information Technology And Networking (SJITN), 2(2), 38–48.

    Google Scholar 

  • Alhalabi, W. (2016). Virtual Reality Systems Enhance Students’ Achievements in Engineering Education. Behavior & Information Technology, 35(11), 919–925 https://www.tandfonline.com/doi/full/10.1080/0144929X.2016.1212931

    Article  Google Scholar 

  • Alhasan, A., et al. (2023). A Case Study to Examine Undergraduate Students’ Intention to Use Internet of Things (IoT) Services in the Smart Classroom. Education and Information Technologies, 0123456789, 1–24.

    Google Scholar 

  • Al-Momani, A. M., Mahmoud, M. A., & Ahmad, M. S. (2018). Factors That Influence the Acceptance of Internet of Things Services by Customers of Telecommunication Companies in Jordan. Journal of Organizational and End User Computing, 30(4), 51–63.

    Article  Google Scholar 

  • Al-Momani, A. M., Mahmoud, M. A., & Ahmad, S. M. (2016). Modeling the Adoption of Internet of Things Services: A Conceptual Framework. International Journal of Applied Research, 2(5), 361–367.

    Google Scholar 

  • Alsuwaidan, L., & Almegren, N. (2020). Validating the Adoption of Heterogeneous Internet of Things with Blockchain. Future Internet, 12(6), 1–17.

    Article  Google Scholar 

  • Ammirato, S., Sofo, F., Felicetti, A. M., & Raso, C. (2019). A methodology to support the adoption of IoT innovation and its application to the Italian bank branch security context. European Journal of Innovation Management, 22(1), 146–174.

    Article  Google Scholar 

  • Amoako-Gyampah, K., & Salam, A. F. (2004). An Extension of the Technology Acceptance Model in an ERP Implementation Environment. Information and Management, 41(6), 731–745.

    Article  Google Scholar 

  • Anh, V., Cuong, P., & Vinh, P. (2019). Context-Aware Mobility in Internet of Thing: A Survey. EAI Endorsed Transactions on Context-aware Systems and Applications, 6(16), 158875.

    Article  Google Scholar 

  • Arpaci, I. (2015). A Comparative Study of the Effects of Cultural Differences on the Adoption of Mobile Learning. British Journal of Educational Technology, 46(4), 699–712.

    Article  Google Scholar 

  • Arpaci, I. (2017). Antecedents and Consequences of Cloud Computing Adoption in Education to Achieve Knowledge Management. Computers in Human Behavior, 70, 382–390.

    Article  Google Scholar 

  • Asseo, I., Johnson, M., Nilsson, B., Chalapathy, N., & Costello, T. (2016). The Internet of things: riding the wave in higher education. EDUCAUSE Review, 51(4), 11–33.

    Google Scholar 

  • Asad, M. M., Naz, A., Shaikh, A., Alrizq, M., Akram, M., & Alghamdi, A. (2022). Investigating the impact of IoT-Based smart laboratories on students’ academic performance in higher education. Universal Access in the Information Society, 1–15.

  • Attallah, B. (2019). Developing IoT Competencies in Non-Computer Science Students in Higher Education. In 2019 Sixth HCT Information Technology Trends (ITT) (pp. 240–246). IEEE.

    Chapter  Google Scholar 

  • Bagheri, M., & Movahed, S. H. (2017). The Effect of the Internet of Things (IoT) on Education Business Model. In Proceedings - 12th International Conference on Signal Image Technology and Internet-Based Systems, SITIS 2016 (pp. 435–441). IEEE.

    Google Scholar 

  • Bandara, I., & Ioras, F. (2016). The Evolving Challenges of Internet of Everything: Enhancing Student Performance and Employability in Higher Education. In INTED2016 Proceedings (Vol. 1, pp. 652–658). IATED.

    Chapter  Google Scholar 

  • Banica, L., Burtescu, E., & Enescu, F. (2017). The Impact of Internet-of-Things in Higher Education. Scientific Bulletin : Economic Sciences, 16(1), 53–59.

    Google Scholar 

  • Belchior-Rocha, H., Almeida, F. N., & Abreu, R. (2018). IoT Sustainability in Higher Education. In Smart Marketing With the Internet of Things (pp. 185–197). IGI Global.

    Google Scholar 

  • Bilgihan, A., Okumus, F., Nusair, K. K., & Kwun, D. J.-w. (2011). Information Technology Applications and Competitive Advantage in Hotel Companies. Journal of Hospitality and Tourism Technology, 2(2), 139–154.

    Article  Google Scholar 

  • Biucky, S. T., Abdolvand, N., & Harandi, S. R. (2017). The Effects of Perceived Risk on Social Commerce Adoption Based on the Tam Model. International Journal of Electronic Commerce Studies, 8(2), 173–196.

    Google Scholar 

  • Boateng, R., et al. (2016). Determinants of E-Learning Adoption among Students of Developing Countries. International Journal of Information and Learning Technology, 33(4), 248–262.

    Article  Google Scholar 

  • Cha, K., & Kwon, S. (2018). Understanding the Adoption of E-learning in South Korea: Using the Extended Technology Acceptance Model Approach. KEDI Journal of Educational Policy, 15(2), 165–183.

    Google Scholar 

  • Charmonman, S., Mongkhonvanit, P., Dieu, V. N., & van der Linden, N. (2020). Applications of Internet of Things in E-Learning. International Journal of the Computer, the Internet and Management, 23(3), 1–4.

    Google Scholar 

  • Chen, H., & Huang, J. (2021). Research and application of the interactive English online teaching system based on the internet of things. Scientific Programming, 2021, 1–10.

    Article  Google Scholar 

  • Chen, L., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: An extended technology acceptance perspective. Information & management, 39(8), 705–719.

    Article  Google Scholar 

  • Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295–336.

    Google Scholar 

  • Coughlan, T., Brown, M., Mortier, R., Houghton, R. J., Goulden, M., & Lawson, G. (2012). Exploring acceptance and consequences of the internet of things in the home. In 2012 IEEE international conference on green computing and communications. (pp. 148–155). IEEE.

  • Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly: Management Information Systems, 13(3), 319–339.

    Article  Google Scholar 

  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003.

    Article  Google Scholar 

  • Ding, W. (2013). Study of Smart Warehouse Management System Based on the IOT. In Intelligence Computation and Evolutionary Computation (pp. 203–207). Springer.

    Chapter  Google Scholar 

  • Dinu, V., Lazăr, S. P., & Pop, I. A. (2021). Factors That Influence The Adoption Of The Internet Of Things In Tourism By Romanian Consumers. Amfiteatru Economic, 23(57), 360–375.

    Article  Google Scholar 

  • El-Hajj, M., Fadlallah, A., Chamoun, M., & Serhrouchni, A. (2019). A Survey of Internet of Things (IoT) Authentication Schemes. Sensors (Switzerland), 19(5), 1–43.

    Article  Google Scholar 

  • Elsaadany, A., & Soliman, M. (2017). Experimental Evaluation of Internet of Things in the Educational Environment. International Journal of Engineering Pedagogy (iJEP), 7(3), 50.

    Article  Google Scholar 

  • Ferguson, A. G. (2016). The Internet of Things and the Fourth Amendment of effects. California Law Review, 805–880.

  • Fernández-Caramés, T. M., & Fraga-Lamas, P. (2019). Towards next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities. Applied Sciences (Switzerland), 9(21), 4479.

    Article  Google Scholar 

  • Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding Determinants of Cloud Computing Adoption Using an Integrated TAM-TOE Model. Journal of Enterprise Information Management, 28(1), 107–130 https://www.emerald.com/insight/content/doi/10.1108/JEIM-08-2013-0065/full/html

    Article  Google Scholar 

  • Gao, L., & Bai, X. (2014). A Unified Perspective on the Factors Influencing Consumer Acceptance of Internet of Things Technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211–231.

    Article  Google Scholar 

  • Gohar, M., Choi, J. G., & Koh, S. J. (2018). CoAP-Based Group Mobility Management Protocol for the Internet-of-Things in WBAN Environment. Future Generation Computer Systems, 88, 309–318.

    Article  Google Scholar 

  • Gómez, J., et al. (2013). Interaction System Based on Internet of Things as Support for Education. Procedia Computer Science, 21, 132–139.

    Article  Google Scholar 

  • Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions. Future generation computer systems, 29(7), 1645–1660.

    Article  Google Scholar 

  • Greenhalgh, C., & Rogers, M. (2010). Innovation, intellectual property, and economic growth. In Innovation, intellectual property, and economic growth. Princeton University Press.

  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long range planning, 46(1–2), 1–12.

    Article  Google Scholar 

  • Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. saGe publications.

  • Hashim, H. S., & Al-Sulami, Z. A. 2020. “A Model of Factors Influencing Users’ Adoption of Internet of Things Services: A Case Study of Iraqi Educational Institutions.” IOP Conference Series: Materials Science and Engineering 769(1), 012006. IOP Publishing.

    Google Scholar 

  • Higher, Q. A., Qahe, E., & Majeed, A. (2018). How Internet-of-Things (IoT) Making the University Campuses Smart ? In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 646–648). IEEE.

    Google Scholar 

  • Ho, N. T. T., et al. (2020). Students’ Adoption of e-Learning in Emergency Situation: The Case of a Vietnamese University during COVID-19. Interactive Technology and Smart Education, 18(2), 246–269.

    Article  Google Scholar 

  • Holden, H., & Rada, R. (2011). Understanding the Influence of Perceived Usability and Technology Self-Efficacy on Teachers' Technology Acceptance. Journal of research on technology in education, 43(4), 343–367.

    Article  Google Scholar 

  • Htake, H., & Tin, K. (2019). Role of Internet of Things ( IoT ) for Smart Classroom to Improve Teaching and Learning Approach. International Journal of Research and Innovation in Applied Science, 4(1), 45–49.

    Google Scholar 

  • Huang, J.-H., Lin, Y.-R., & Chuang, S.-T. (2007). Elucidating User Behavior of Mobile Learning. The Electronic Library, 25(5), 585–598 https://www.emerald.com/insight/content/doi/10.1108/02640470710829569/full/html

    Article  Google Scholar 

  • Ionescu-Feleaga, L., Ionescu, B. Ș., & Bunea, M. (2021). The Iot Technologies Acceptance In Education By The Students From The Economic Studies In Romania. Amfiteatru Economic, 23(57), 342–359.

    Article  Google Scholar 

  • Ishak, M. A., Kosnan, M. R., & Zakaria, N. F. (2020). Build IoT through Virtual Reality. International Journal of Multimedia and Recent Innovation, 2(1), 11–25 https://lamintang.org/journal/index.php/ijmari/article/view/80

    Article  Google Scholar 

  • Jaafreh, A. B. (2018). The Effect Factors in the Adoption of Internet of Things (IoT) Technology in the SME in KSA: An Empirical Study. International Review of Management and Business Research, 7(1), 135–148 http://irmbrjournal.com/paper_details.php?id=771

    Article  Google Scholar 

  • Jain, P., Vyas, V., & Chalasani, D. P. S. (2016). Corporate Social Responsibility and Financial Performance in SMEs: A Structural Equation Modelling Approach. Global Business Review, 17(3), 630–653. https://doi.org/10.1177/0972150916630827

    Article  Google Scholar 

  • Karahoca, A., Karahoca, D., & Aksöz, M. (2018). Examining Intention to Adopt to Internet of Things in Healthcare Technology Products. Kybernetes, 47(4), 742–770.

    Article  Google Scholar 

  • Kassem, M., Benomran, L., & Teizer, J. (2017). Virtual Environments for Safety Learning in Construction and Engineering : Seeking Evidence and Identifying Gaps for Future Research. Visualization in Engineering, 5, 1–15.

    Article  Google Scholar 

  • Khan, S. A., Ahmad, S., & Jamshed, M. (2021). IoT-Enabled Services in Online Food Retailing. Journal of Public Affairs, 21(1), e2150.

    Article  Google Scholar 

  • Kowatsch, T., & Maass, W. (2012). Critical privacy factors of internet of things services: An empirical investigation with domain experts. In Knowledge and Technologies in Innovative Information Systems: 7th Mediterranean Conference on Information Systems, MCIS 2012, Guimaraes, Portugal, September 8-10, 2012. Proceedings (pp. 200–211). Springer Berlin Heidelberg.

  • Krishnan, A., Simiscuka, A. A., & Muntean, G. M. (2020). Performance Analysis of an IoT Platform with Virtual Reality and Social Media Integration. In 2020 IEEE 21st International Symposium on" A World of Wireless, Mobile and Multimedia Networks"(WoWMoM) (pp. 403–408). IEEE.

    Google Scholar 

  • Ladasi, S. H., Shihab, M. R., Hidayanto, A. N., & Budi, N. F. A. (2019). Prioritizing determinants of internet of things (IoT) technology adoption: case study of agribusiness PT. XYZ. In  2019 3rd International Conference on Informatics and Computational Sciences (ICICoS) (pp. 1–6). IEEE.

  • Lai, P. C. (2017). The Literature Review of Technology Adoption Models and Theories for the Novelty Technology. Journal of Information Systems and Technology Management, 14(1), 21–38.

    Article  MathSciNet  Google Scholar 

  • Lee, Jui-hsiang. 2019. “Extension of TAM by Perceived Interactivity to Understand Usage Behaviors on ACG Social Media Sites.”

    Book  Google Scholar 

  • Lee, J., Choi, M., & Lee, H. (2015). Factors Affecting Smart Learning Adoption in Workplaces: Comparing Large Enterprises and SMEs. Information Technology and Management, 16(4), 291–302.

    Article  Google Scholar 

  • Leong, Y. M., & Letchumanan, C. (2019). Effective Learning in Higher Education in Malaysia by Implementing Internet of Things Related Tools in Teaching and Introducing IoT Courses in Curriculum. In 2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS) (pp. 152–157). IEEE.

    Chapter  Google Scholar 

  • Lian, J. W., Yen, D. C., & Wang, Y. T. (2014). An Exploratory Study to Understand the Critical Factors Affecting the Decision to Adopt Cloud Computing in Taiwan Hospital. International Journal of Information Management, 34(1), 28–36.

    Article  Google Scholar 

  • Liesa-Orús, M., Latorre-Cosculluela, C., Sierra-SáWEnchez, V., & Vázquez-Toledo, S. (2023). Links between Ease of Use, Perceived Usefulness and Attitudes towards Technology in Older People in University: A Structural Equation Modelling Approach. Education and Information Technologies, 28(3), 2419–2436. https://doi.org/10.1007/s10639-022-11292-1

    Article  Google Scholar 

  • Liu, Y., Li, H., & Carlsson, C. (2010). Computers & Education Factors Driving the Adoption of M-Learning : An Empirical Study. Computers & Education, 55(3), 1211–1219.

    Article  Google Scholar 

  • Madathil, K. C., et al. (2017). An Empirical Study Investigating the Effectiveness of Integrating Virtual Reality-Based Case Studies into an Online Asynchronous Learning Environment. Computers in Education Journal, 8(3), 1–10.

    Google Scholar 

  • Malhotra, S., Kumar, A., & Dutta, R. (2021). Effect of Integrating IoT Courses at the Freshman Level on Learning Attitude and Behaviour in the Classroom. Education and Information Technologies, 26(3), 2607–2621.

    Article  Google Scholar 

  • Mallat, N., Matti Rossi, Æ., Virpi, Æ., & Kristiina. (2008). An Empirical Investigation of Mobile Ticketing Service Adoption in Public Transportation. Personal and Ubiquitous Computing, 12, 57–65.

    Article  Google Scholar 

  • Mcrae, L., Ellis, K., & Kent, M. (2018). Internet of Things (IoT): Education and Technology The Relationship between Education and Technology for Students with Disabilities. The relationship between education and technology for students with disabilities Leanne, Research, 1–37.

  • Mercan, S., et al. (2020). Improving the Service Industry with Hyper-Connectivity: IoT in Hospitality. International Journal of Contemporary Hospitality Management, 33(1), 243–262.

    Article  Google Scholar 

  • Mircea, M., Stoica, M., & Ghilic-Micu, B. (2021). Investigating the impact of the internet of things in higher education environment. IEEE Access, 9, 33396–33409.

    Article  Google Scholar 

  • Mollen, A., & Wilson, H. (2010). Engagement , Telepresence and Interactivity in Online Consumer Experience : Reconciling Scholastic and Managerial Perspectives. Journal of Business Research, 63(9–10), 919–925.

    Article  Google Scholar 

  • Nikou, S. A., & Economides, A. A. (2015). The Effects of Perceived Mobility and Satisfaction on the Adoption of Mobile-Based Assessment. In 2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL) (pp. 167–171). IEEE.

    Chapter  Google Scholar 

  • Pal, D., & Arpnikanondt, C. (2021). An Integrated TAM/ISS Model Based PLS-SEM Approach for Evaluating the Continuous Usage of Voice Enabled IoT Systems. Wireless Personal Communications, 119(2), 1065–1092. https://doi.org/10.1007/s11277-021-08251-3

    Article  Google Scholar 

  • Park, E., & Kim, K. J. (2012). User Acceptance of Long-Term Evolution ( LTE ) Services An Application of Extended Technology Acceptance Model. Program, 47(2), 188–205.

    Article  Google Scholar 

  • Pervez, S., Rehman, S., & Alandjani, G. (2018). Role of Internet of Things (IoT) in Higher Education. Education, 2011(2011), 792–800.

    Google Scholar 

  • Pradhan, B., Bhattacharyya, S., & Pal, K. (2021). IoT-Based Applications in Healthcare Devices. Journal of Healthcare Engineering, 2021, 1–8.

    Google Scholar 

  • Punia, D. (2018). Effect of Mobility in IoT Environment. In 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 1534–1537). IEEE.

    Chapter  Google Scholar 

  • Qashou, A. (2021). Education and Information Technologies Influencing Factors in M-Learning Adoption in Higher Education. Education and Information Technologies, 26(2), 1755–1785.

    Article  Google Scholar 

  • Rocsana, B.-m.-t., & Ovidiu, B. (2019). Factors Influencing Online Consumer Behavior in the Era of IoT. In Materials Science Forum (pp. 81–89). Trans Tech Publications Ltd.

    Google Scholar 

  • Rodney, B. D. (2020). Understanding the paradigm shift in education in the twenty-first century: The role of technology and the Internet of Things. Worldwide Hospitality and Tourism Themes, 12(1), 35–47.

    Article  MathSciNet  Google Scholar 

  • Romero-Rodríguez, J. M., Alonso-García, S., Marín-Marín, J. A., & Gómez-García, G. (2020). Considerations on the Implications of the Internet of Things in Spanish Universities: The Usefulness Perceived by Professors. Future Internet, 12(8), 1–13.

    Article  Google Scholar 

  • Santos, B. P., et al. (2018). Mobile Matrix: Routing under Mobility in IoT, IoMT, and Social IoT. Ad Hoc Networks, 78, 84–98.

    Article  Google Scholar 

  • Satu, Shahriare, Shanto Roy, and Farhana Akhter. 2018. “IoLT : An IoT Based Collaborative Blended Learning Platform in Higher Education.” : 27–29.

  • Schillewaert, N., Ahearne, M. J., Frambach, R. T., & Moenaert, R. K. (2005). The Adoption of Information Technology in the Sales Force. Industrial Marketing Management, 34(4 SPEC ISS), 323–336.

    Article  Google Scholar 

  • Shipps, B., & Phillips, B. (2013). Social Networks , Interactivity and Satisfaction : Assessing Socio-Technical Behavioral Factors as an Extension to Technology Acceptance. Journal of theoretical and applied electronic commerce research, 8(1), 35–52.

    Article  Google Scholar 

  • Singh, A. (2016). Internet of Things and Trust Management in Iot – Review. International Research Journal of Engineering and Technology, 3(6), 761–767.

    Google Scholar 

  • Singh, U. G., & Msibi, A. (2021). Students’ Perceptions towards IoTs Adoption: A Case Study. Journal of Physics: Conference Series, 1714(1), 012044.

    Google Scholar 

  • Sinha, A., et al. (2019). Impact of Internet of Things ( IoT ) in Disaster Management : A Task-Technology Fit Perspective. Annals of Operations Research, 283(1), 759–794.

    Article  Google Scholar 

  • Song, Q., & Wook, Y. S. (2020). Applied Sciences Exploration of the Application of Virtual Reality and Internet of Things in Film and Television Production Mode. Applied Sciences, 10(10), 3450.

    Article  Google Scholar 

  • Suduc, A.-M., Bîzoi, M., & Gorghiu, G. (2018). Revista Românească Pentru Educaţie Multidimensională A Survey on IoT in Education. Romanian Journal for Multidimensional Education/Revista Romaneasca pentru Educatie Multidimensionala, 10(3), 103–111.

    Article  Google Scholar 

  • Sung, J., & Jo, J. (2018). The Influence of Perceived Risk and Consumer Innovativeness on Intention to Use of Internet of Things Service. Journal of Theoretical and Applied Information Technology, 96(4), 1008–1017.

    Google Scholar 

  • Tan, P., Han, W., Li, P., & He, X. (2018). Teaching Management System with Applications of RFID and IoT Technology. Education Sciences, 8(1), 26.

    Article  Google Scholar 

  • Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding Pre-Service Teachers’ Computer Attitudes: Applying and Extending the Technology Acceptance Model. Journal of Computer Assisted Learning, 24(2), 128–143.

    Article  Google Scholar 

  • Tobarra, L., et al. (2021). Analyzing the Users’ Acceptance of an IoT Cloud Platform Using the UTAUT/TAM Model. IEEE Access, 9, 150004–150020.

    Article  Google Scholar 

  • Ullman, J. B., & Bentler, P. M. (2013). Structural equation modeling A four-stage general process of modeling 663 model estimation techniques and test Statistics 667. Model Evaluation, 671, 661–689.

    Google Scholar 

  • Venkatesh, V., & Davis, F. D. (2000). Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204.

    Article  Google Scholar 

  • Wang, S., & Noe, R. A. (2010). Human Resource Management Review Knowledge Sharing : A Review and Directions for Future Research. Human Resource Management Review, 20(2), 115–131.

    Article  Google Scholar 

  • Welle, Deutsche. 2012. “Internet of Things’ Holds Promise, but Sparks Privacy Concerns.”

    Google Scholar 

  • Wellek, S. (2017). A critical evaluation of the current “p-value controversy”. Biometrical Journal, 59(5), 854–872. https://doi.org/10.1002/bimj.201700001

    Article  MathSciNet  Google Scholar 

  • Wood, Vanessa, Committee Member, and Todd C Wilson. 2020. “FACTORS AFFECTING THE ADOPTION OF INTERNET OF THINGS DEVICES : A CORRELATIONAL STUDY by David Hartman WERNER D . GOTTWALD , PhD , Faculty Mentor and Chair PAMELYN WITTEMAN , PhD , Committee Member School of Business and Technology A Dissertation Presented.” (October).

  • Xie, Q., Song, W., Peng, X., & Shabbir, M. (2017). Predictors for E-Government Adoption: Integrating TAM, TPB, Trust and Perceived Risk. Electronic Library, 35(1), 2–20.

    Article  Google Scholar 

  • Yamao, E. (2020). Smart Campus as a Learning Platform for Industry 4 . 0 and IoT Ready Students in Higher Education. In 2020 IEEE International Symposium on Accreditation of Engineering and Computing Education (ICACIT) (pp. 1–4). IEEE.

    Google Scholar 

  • Yim, J. S., Ching, P. M., & Azalea, A. (2019). Predicting Teachers’ Continuance in a Virtual Learning Environment with Psychological Ownership and the TAM: A Perspective from Malaysia. Educational Technology Research and Development, 67(3), 691–709.

    Article  Google Scholar 

  • Yuan, Y. S., & Cheah, T. C. (2020). A study of internet of things enabled healthcare acceptance in Malaysia. Journal of Critical Reviews, 7(3), 25–32.

    Google Scholar 

  • Zorzi, M., Gluhak, A., Lange, S., & Bassi, A. (2010). From Today’s Intranet of Things to a Future Internet of Things: A Wireless-and Mobility-Related View. IEEE Wireless communications, 17(6), 44–51.

    Article  Google Scholar 

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This paper offers a conceptual model for evaluating the adoption of IoT technology in higher education institutions that may use by researchers to investigate adoption factors further and produce reliable IoT adoption literature. Moreover, the study discussed how IoT enabled higher education institutions and empowers the education system to be more relevant and engaging.

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Correspondence to Shaden Ahmad Masadeh.

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Appendix

Appendix

Table 7 The Questionnaire Items
Table 8 Outer loadings

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Masadeh, S.A., El-Haggar, N. Analyzing factors influencing IoT adoption in higher educational institutions in Saudi Arabia using a modified TAM model. Educ Inf Technol 29, 6407–6441 (2024). https://doi.org/10.1007/s10639-023-12039-2

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  • DOI: https://doi.org/10.1007/s10639-023-12039-2

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