Abstract
The Internet has become the veins that stimulate the economies, business, as well as educational and industrial processes. The Internet of Things (IoT) as an extension of the Internet and one of its emerging technologies is one of the promising technologies that infiltrated all aspects of our life especially education, whose platforms had to be digitized and made online earlier than anticipated due to the spread of the COVID-19 pandemic. The higher education represented by the students at the Omani universities in this research has dearth of studies that focus on the student’s intention to use this technology. Therefore, the main objectives are to investigate the role of perceived ease of use, perceived usefulness, and relationship with intention to use the IoT in the academic and nonacademic tasks as perceived by university students. Also, relationship between ease of use and perceived usefulness is measured. PLS-SEM SmartPLS was used to analyze the relationships. Findings reveal a positive significant relationship between ease of use and behavior intention. Also, ease of use emerged as a positive and significant factor in controlling perceived usefulness toward the intention to use the IoT. However, perceived usefulness showed non-significant relationship with behavior intention.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abuarqoub, A., Abusaimeh, H., Hammoudeh, M., Uliyan, D., Abu-Hashem, M. A., Murad, S., Al-Jarrah, M., & Al-Fayez, F. (2017). A survey on internet of things enabled smart campus applications. In Proceedings of the international conference on future networks and distributed systems (ICFNDS ‘17) (pp. 1–7). ACM, Cambridge United Kingdom. https://doi.org/10.1145/3102304.3109810
Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24, 665. https://doi.org/10.2307/3250951
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37, 99–110. https://doi.org/10.1016/j.i**fomgt.2017.01.002
Arpaci, I. (2016). Understanding and predicting students’ intention to use mobile cloud storage services. Computers in Human Behavior, 58, 150–157. https://doi.org/10.1016/j.chb.2015.12.067
Bagheri, M., & Movahed, S. H. (2016). The effect of the internet of things (IoT) on education business model. In 2016 12th international conference on signal-image technology & internet-based systems (SITIS) (pp. 435–441). IEEE, Naples, Italy. https://doi.org/10.1109/SITIS.2016.74
Ban, Y., Okamura, K., & Kaneko, K. (2017). Effectiveness of experiential learning for kee** knowledge retention in IoT security education. In 2017 6th IIAI international congress on advanced applied informatics (IIAI-AAI) (pp. 699–704). IEEE, Hamamatsu. https://doi.org/10.1109/IIAI-AAI.2017.206
Besbes, A., Legohérel, P., Kucukusta, D., & Law, R. (2016). A cross-cultural validation of the tourism web acceptance model (T-WAM) in different cultural contexts. Journal of International Consumer Marketing, 28, 211–226. https://doi.org/10.1080/08961530.2016.1152524
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Dong, X., Chang, Y., Wang, Y., & Yan, J. (2017). Understanding usage of Internet of Things (IoT) systems in China: Cognitive experience and affect experience as moderator. Information Technology & People, 30, 117–138. https://doi.org/10.1108/ITP-11-2015-0272
Dutton, W. H. (2014). Putting things to work: Social and policy challenges for the internet of things. Info, 16, 1–21. https://doi.org/10.1108/info-09-2013-0047
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley Publishing Company.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (Eds.). (2010). Multivariate data analysis: A global perspective. Pearson.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19, 139–152. https://doi.org/10.2753/MTP1069-6679190202
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.
Hamid, A. A., Razak, F. Z. A., Bakar, A. A., & Abdullah, W. S. W. (2016). The effects of perceived usefulness and perceived ease of use on continuance intention to use e-government. Procedia Economics and Finance, 35, 644–649. https://doi.org/10.1016/S2212-5671(16)00079-4
Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling: A Multidisciplinary Journal, 17, 82–109. https://doi.org/10.1080/10705510903439003
Jasim, N. A., Salim AlRikabi, H. T., & Farhan, M. S. (2021). Internet of things (IoT) application in the assessment of learning process. IOP Conference Series: Materials Science and Engineering, 1184, 012002. https://doi.org/10.1088/1757-899X/1184/1/012002
Loeser, F., Recker, J., Brocke, J. V., Molla, A., & Zarnekow, R. (2017). How IT executives create organizational benefits by translating environmental strategies into Green IS initiatives: Organizational benefits of Green IS strategies and practices. Information Systems Journal, 27, 503–553. https://doi.org/10.1111/isj.12136
Majeed, A., & Ali, M. (2018). How Internet-of-Things (IoT) making the university campuses smart? QA higher education (QAHE) perspective. In 2018 IEEE 8th annual computing and communication workshop and conference (CCWC) (pp. 646–648). IEEE, Las Vegas, NV. https://doi.org/10.1109/CCWC.2018.8301774
McKinney, K. (2004). The scholarship of teaching and learning: Past lessons, current challenges, and future visions. To Improve the Academy, 22, 3–19. https://doi.org/10.1002/j.2334-4822.2004.tb00399.x
McRae, L., Ellis, K., & Kent, M. (2018). Internet of things (IoT): Education and technology. The relationship between education and technology for students with disabilities. National Centre for Student Equity in Higher Education, Curtin University.
Mendell, M. J., & Heath, G. A. (2005). Do indoor pollutants and thermal conditions in schools influence student performance? A critical review of the literature. Indoor Air, 15, 27–52. https://doi.org/10.1111/j.1600-0668.2004.00320.x
Podsakoff, P. M., Bommer, W. H., Podsakoff, N. P., & MacKenzie, S. B. (2006). Relationships between leader reward and punishment behavior and subordinate attitudes, perceptions, and behaviors: A meta-analytic review of existing and new research. Organizational Behavior and Human Decision Processes, 99, 113–142. https://doi.org/10.1016/j.obhdp.2005.09.002
Richad, R., Vivensius, V., Sfenrianto, S., & Kaburuan, E. R. (2019). Analysis of factors influencing millennial’s technology acceptance of chatbot in the banking industry in Indonesia. International Journal of Management, 10. https://doi.org/10.34218/IJM.10.3.2019.011
Rigdon, E. E. (2012). Rethinking partial least squares path modeling: In praise of simple methods. Long Range Planning, 45, 341–358. https://doi.org/10.1016/j.lrp.2012.09.010
Saeed, M. K., Munir, A., Mahmood, K., Hassan, M. U., Khan, J., & Nawaz, B. (2021). Usage of internet of things (IoT) technology in the higher education sector. Journal of Engineering Science and Technology, 16, 4181–4191.
Sarea, A., & Taufiq-Hail, G. A. (2021). Evaluation of compatibility of cloud-based applications, credibility, and trust perceptions on the adoption of cloud technology: A review. In A.-E. Hassanien, K.-C. Chang, & T. Mincong (Eds.), Advanced machine learning technologies and applications (pp. 889–907). Springer International Publishing. https://doi.org/10.1007/978-3-030-69717-4_83
Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5, 105–115. https://doi.org/10.1016/j.jfbs.2014.01.002
Shaikh, H., Khan, M. S., Mahar, Z. A., Anwar, M., Raza, A., & Shah, A. (2019). A conceptual framework for determining acceptance of internet of things (IoT) in higher education institutions of Pakistan. In 2019 international conference on information science and communication technology (ICISCT) (pp. 1–5). IEEE, Karachi, Pakistan. https://doi.org/10.1109/CISCT.2019.8777431
Shin, D. H. (2013). User centric cloud service model in public sectors: Policy implications of cloud services. Government Information Quarterly, 30, 194–203. https://doi.org/10.1016/j.giq.2012.06.012
Smith, T. J. (2008). Senior citizens and e-commerce websites: The role of perceived usefulness, perceived ease of use, and web site usability. Informing Science: The International Journal of an Emerging Transdiscipline, 11, 59–83.
Tahar, A., Riyadh, H. A., Sofyani, H., & Purnomo, W. E. (2020). Perceived ease of use, perceived usefulness, perceived security and intention to use e-filing: The role of technology readiness. The Journal of Asian Finance, Economics and Business, 7, 537–547. https://doi.org/10.13106/JAFEB.2020.VOL7.NO9.537
Taufiq-Hail, G. A., Sarea, A., & Hawaldar, I. T. (2021). The impact of self-efficacy on feelings and task performance of academic and teaching staff in Bahrain during covid-19: Analysis by SEM and ANN. Journal of Open Innovation: Technology, Market, and Complexity, 7, 224. https://doi.org/10.3390/joitmc7040224
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6, 144–176. https://doi.org/10.1287/isre.6.2.144
Velázquez, M.O. (2014). Trust in the cloud: A cognitive-behavioral framework of technology adoption for cloud computing in organizations.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11, 342–365. https://doi.org/10.1287/isre.11.4.342.11872
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Warshaw, P. R., & Davis, F. D. (1985). Disentangling behavioral intention and behavioral expectation. Journal of Experimental Social Psychology, 21, 213–228.
Wetzels, M., Odekerken-Schröder, G., & van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33, 177–195. https://doi.org/Article
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Taufiq-Hail, G.AM., Al Farsi, M.J.A., Sarea, A., Al Shamsi, I.R.H. (2023). The Higher Education Students’ Perception on IoT Acceptance as an Educational Facilitating Medium: Perception from Omani Context. In: Al Mubarak, M., Hamdan, A. (eds) Technological Sustainability and Business Competitive Advantage . Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-35525-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-031-35525-7_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-35524-0
Online ISBN: 978-3-031-35525-7
eBook Packages: EngineeringEngineering (R0)