The Influence of Introversion and Extroversion Personality Traits on Student Technostress, Satisfaction, and Performance Expectancy: A Multigroup Analysis

This study aims to examine the influence of personality traits, specifically introversion and extroversion, on the relationship between technostress, satisfaction, and performance expectancy of students. Data from 234 university students were collected and analyzed using the partial least square str...

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Published in:International Journal of Technologies in Learning
Main Author: Abd Aziz N.N.; Aziz M.A.; Syazwani Abd Rahman N.A.; Yasin N.M.; Ayob N.H.
Format: Article
Language:English
Published: Common Ground Research Networks 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193742339&doi=10.18848%2f2327-0144%2fCGP%2fv31i02%2f83-110&partnerID=40&md5=c71b52ce4c99b9878f691145813ddf00
id 2-s2.0-85193742339
spelling 2-s2.0-85193742339
Abd Aziz N.N.; Aziz M.A.; Syazwani Abd Rahman N.A.; Yasin N.M.; Ayob N.H.
The Influence of Introversion and Extroversion Personality Traits on Student Technostress, Satisfaction, and Performance Expectancy: A Multigroup Analysis
2024
International Journal of Technologies in Learning
31
2
10.18848/2327-0144/CGP/v31i02/83-110
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193742339&doi=10.18848%2f2327-0144%2fCGP%2fv31i02%2f83-110&partnerID=40&md5=c71b52ce4c99b9878f691145813ddf00
This study aims to examine the influence of personality traits, specifically introversion and extroversion, on the relationship between technostress, satisfaction, and performance expectancy of students. Data from 234 university students were collected and analyzed using the partial least square structural equation modeling approach. The findings reveal no significant difference between introverted and extroverted students in terms of techno-overload and techno-insecurity. However, a notable difference is observed in the context of techno-complexity, where introverted students are more affected by it compared with extroverted students. This could be attributed to introverted students who tend to face challenges alone and find it difficult to ask for help, whereas the extroverted ones are more inclined to ask for assistance when facing technological challenges. Consequently, it is recommended that instructors provide clear explanations on how to use learning technology applications before commencing lessons, aiming to alleviate techno-complexity issues among students. Despite being considered digital natives, the current generation still requires guidance on the use of learning technology. The provision of user-friendly applications is essential to ensure the effectiveness of learning technology for both personality types. © 2024 Common Ground Research Networks. All rights reserved.
Common Ground Research Networks
23270144
English
Article

author Abd Aziz N.N.; Aziz M.A.; Syazwani Abd Rahman N.A.; Yasin N.M.; Ayob N.H.
spellingShingle Abd Aziz N.N.; Aziz M.A.; Syazwani Abd Rahman N.A.; Yasin N.M.; Ayob N.H.
The Influence of Introversion and Extroversion Personality Traits on Student Technostress, Satisfaction, and Performance Expectancy: A Multigroup Analysis
author_facet Abd Aziz N.N.; Aziz M.A.; Syazwani Abd Rahman N.A.; Yasin N.M.; Ayob N.H.
author_sort Abd Aziz N.N.; Aziz M.A.; Syazwani Abd Rahman N.A.; Yasin N.M.; Ayob N.H.
title The Influence of Introversion and Extroversion Personality Traits on Student Technostress, Satisfaction, and Performance Expectancy: A Multigroup Analysis
title_short The Influence of Introversion and Extroversion Personality Traits on Student Technostress, Satisfaction, and Performance Expectancy: A Multigroup Analysis
title_full The Influence of Introversion and Extroversion Personality Traits on Student Technostress, Satisfaction, and Performance Expectancy: A Multigroup Analysis
title_fullStr The Influence of Introversion and Extroversion Personality Traits on Student Technostress, Satisfaction, and Performance Expectancy: A Multigroup Analysis
title_full_unstemmed The Influence of Introversion and Extroversion Personality Traits on Student Technostress, Satisfaction, and Performance Expectancy: A Multigroup Analysis
title_sort The Influence of Introversion and Extroversion Personality Traits on Student Technostress, Satisfaction, and Performance Expectancy: A Multigroup Analysis
publishDate 2024
container_title International Journal of Technologies in Learning
container_volume 31
container_issue 2
doi_str_mv 10.18848/2327-0144/CGP/v31i02/83-110
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193742339&doi=10.18848%2f2327-0144%2fCGP%2fv31i02%2f83-110&partnerID=40&md5=c71b52ce4c99b9878f691145813ddf00
description This study aims to examine the influence of personality traits, specifically introversion and extroversion, on the relationship between technostress, satisfaction, and performance expectancy of students. Data from 234 university students were collected and analyzed using the partial least square structural equation modeling approach. The findings reveal no significant difference between introverted and extroverted students in terms of techno-overload and techno-insecurity. However, a notable difference is observed in the context of techno-complexity, where introverted students are more affected by it compared with extroverted students. This could be attributed to introverted students who tend to face challenges alone and find it difficult to ask for help, whereas the extroverted ones are more inclined to ask for assistance when facing technological challenges. Consequently, it is recommended that instructors provide clear explanations on how to use learning technology applications before commencing lessons, aiming to alleviate techno-complexity issues among students. Despite being considered digital natives, the current generation still requires guidance on the use of learning technology. The provision of user-friendly applications is essential to ensure the effectiveness of learning technology for both personality types. © 2024 Common Ground Research Networks. All rights reserved.
publisher Common Ground Research Networks
issn 23270144
language English
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