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Academics' behavioral intention and usage of IoT in e-learning: moderation of gender and experience

As the world shifts to e-learning, IoT is becoming increasingly important in the learning and teaching environment. The key concerns are the elements that influence academics' behavioral intention to adopt IoT, and how the whole operation affects their performance. However, there is a research...

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Main Authors:	Aziz, Faiq, Safiai, Azizi, Abdul Wahat, Nor Wahiza, Hamzah, Siti Raba'ah, Ahrari, Seyedali, Mahadi, Nomahaza
Format:	Article
Language:	English
Published:	Little Lion Scientific 2023
Subjects:	L Education (General)
Online Access:	http://eprints.utm.my/104795/1/NomahazaMahadi2023_AcademicsBehavioralIntentionandUsageofIoT.pdf http://eprints.utm.my/104795/ http://www.jatit.org/volumes/hundredone4.php
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id	my.utm.104795
record_format	eprints
spelling	my.utm.1047952024-03-25T08:47:12Z http://eprints.utm.my/104795/ Academics' behavioral intention and usage of IoT in e-learning: moderation of gender and experience Aziz, Faiq Safiai, Azizi Abdul Wahat, Nor Wahiza Hamzah, Siti Raba'ah Ahrari, Seyedali Mahadi, Nomahaza L Education (General) As the world shifts to e-learning, IoT is becoming increasingly important in the learning and teaching environment. The key concerns are the elements that influence academics' behavioral intention to adopt IoT, and how the whole operation affects their performance. However, there is a research gap in past studies that have not addressed this issue sufficiently. As a result, this study employed the Unified Theory of Acceptance and Use of Technology (UTAUT) as a guideline to examine the factors that influence academics' behavioral intentions to use IoT. Furthermore, the moderating effects of both gender and level of experience on this relationship were inspected. The structural models were validated, and the predefined hypotheses were presented (n = 321). The results from the Structural Equation Modeling approach using Amos 26 indicate that performance expectancy, social influence, and effort expectancy directly influenced behavioral intentions to utilize IoT. The findings also showed that facilitating conditions were the most important determinant of academics' actual usage of IoT. The structural model was further investigated according to the experiences of the male and female academic groups. The findings revealed a different pattern of strength and significant relationships between groups with the overall model, implying that gender and experience act as moderators. This study provides a wealth of antecedents from which to construct a thorough theory of IoT adoption. The theory explores the elements that influence academics' willingness to utilize IoT from the standpoints of the technology itself, social context, and individual user characteristics. By employing the proposed approach, Universities can modify their EL strategies to make the most of their resources and in turn improve efficiency. Little Lion Scientific 2023-02-28 Article PeerReviewed application/pdf en http://eprints.utm.my/104795/1/NomahazaMahadi2023_AcademicsBehavioralIntentionandUsageofIoT.pdf Aziz, Faiq and Safiai, Azizi and Abdul Wahat, Nor Wahiza and Hamzah, Siti Raba'ah and Ahrari, Seyedali and Mahadi, Nomahaza (2023) Academics' behavioral intention and usage of IoT in e-learning: moderation of gender and experience. Journal of Theoretical and Applied Information Technology, 101 (4). pp. 1376-1386. ISSN 1992-8645 http://www.jatit.org/volumes/hundredone4.php NA
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	L Education (General)
spellingShingle	L Education (General) Aziz, Faiq Safiai, Azizi Abdul Wahat, Nor Wahiza Hamzah, Siti Raba'ah Ahrari, Seyedali Mahadi, Nomahaza Academics' behavioral intention and usage of IoT in e-learning: moderation of gender and experience
description	As the world shifts to e-learning, IoT is becoming increasingly important in the learning and teaching environment. The key concerns are the elements that influence academics' behavioral intention to adopt IoT, and how the whole operation affects their performance. However, there is a research gap in past studies that have not addressed this issue sufficiently. As a result, this study employed the Unified Theory of Acceptance and Use of Technology (UTAUT) as a guideline to examine the factors that influence academics' behavioral intentions to use IoT. Furthermore, the moderating effects of both gender and level of experience on this relationship were inspected. The structural models were validated, and the predefined hypotheses were presented (n = 321). The results from the Structural Equation Modeling approach using Amos 26 indicate that performance expectancy, social influence, and effort expectancy directly influenced behavioral intentions to utilize IoT. The findings also showed that facilitating conditions were the most important determinant of academics' actual usage of IoT. The structural model was further investigated according to the experiences of the male and female academic groups. The findings revealed a different pattern of strength and significant relationships between groups with the overall model, implying that gender and experience act as moderators. This study provides a wealth of antecedents from which to construct a thorough theory of IoT adoption. The theory explores the elements that influence academics' willingness to utilize IoT from the standpoints of the technology itself, social context, and individual user characteristics. By employing the proposed approach, Universities can modify their EL strategies to make the most of their resources and in turn improve efficiency.
format	Article
author	Aziz, Faiq Safiai, Azizi Abdul Wahat, Nor Wahiza Hamzah, Siti Raba'ah Ahrari, Seyedali Mahadi, Nomahaza
author_facet	Aziz, Faiq Safiai, Azizi Abdul Wahat, Nor Wahiza Hamzah, Siti Raba'ah Ahrari, Seyedali Mahadi, Nomahaza
author_sort	Aziz, Faiq
title	Academics' behavioral intention and usage of IoT in e-learning: moderation of gender and experience
title_short	Academics' behavioral intention and usage of IoT in e-learning: moderation of gender and experience
title_full	Academics' behavioral intention and usage of IoT in e-learning: moderation of gender and experience
title_fullStr	Academics' behavioral intention and usage of IoT in e-learning: moderation of gender and experience
title_full_unstemmed	Academics' behavioral intention and usage of IoT in e-learning: moderation of gender and experience
title_sort	academics' behavioral intention and usage of iot in e-learning: moderation of gender and experience
publisher	Little Lion Scientific
publishDate	2023
url	http://eprints.utm.my/104795/1/NomahazaMahadi2023_AcademicsBehavioralIntentionandUsageofIoT.pdf http://eprints.utm.my/104795/ http://www.jatit.org/volumes/hundredone4.php
_version_	1794545926909460480
score	13.211869

Academics' behavioral intention and usage of IoT in e-learning: moderation of gender and experience

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