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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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Title: Analyzing factors influencing IoT adoption in higher educational institutions in Saudi Arabia using a modified TAM model.
Authors: Masadeh, Shaden Ahmad1 samasadeh@iau.edu.sa, El-Haggar, Nahla1
Source: Education & Information Technologies. Apr2024, Vol. 29 Issue 5, p6407-6441. 35p.
Subject Terms: *Higher education, Internet of things, Technology Acceptance Model, Information sharing
Geographic Terms: Saudi Arabia
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. [ABSTRACT FROM AUTHOR]
Copyright of Education & Information Technologies is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: *<searchLink fieldCode="DE" term="%22Higher+education%22">Higher education</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Acceptance+Model%22">Technology Acceptance Model</searchLink><br /><searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Education & Information Technologies is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Apr2024
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