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Cyberbullying attitude, intention and behaviour among Malaysian tertiary students - A two stage SEM- ANN approach

This study explores the factors affecting cyberbullying behaviour through their attitudes and intentions based on a model developed using Social Cognitive Theory and the Theory of Planned Behaviour. Results from a survey of 428 Malaysian tertiary students were analysed using a two-step Structural Eq...

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Main Authors: Shaikh, Farhan Bashir, Ayyasamy, Ramesh Kumar, Balakrishnan, Vimala, Rehman, Mobashar, Kalhoro, Shadab
Format: Article
Published: Springer 2024
Subjects:
HN Social history and conditions. Social problems. Social reform
QA75 Electronic computers. Computer science
Online Access:http://eprints.um.edu.my/46029/
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spelling my.um.eprints.460292024-08-28T08:03:50Z http://eprints.um.edu.my/46029/ Cyberbullying attitude, intention and behaviour among Malaysian tertiary students - A two stage SEM- ANN approach Shaikh, Farhan Bashir Ayyasamy, Ramesh Kumar Balakrishnan, Vimala Rehman, Mobashar Kalhoro, Shadab HN Social history and conditions. Social problems. Social reform QA75 Electronic computers. Computer science This study explores the factors affecting cyberbullying behaviour through their attitudes and intentions based on a model developed using Social Cognitive Theory and the Theory of Planned Behaviour. Results from a survey of 428 Malaysian tertiary students were analysed using a two-step Structural Equation Modeling (SEM) -Artificial Neural Networks (ANN) approach. The SEM findings indicate that the intention to engage in cyberbullying is the most influential factor in cyberbullying behaviour, shaped by factors such as image (0.492), moral disengagement (0.211), perceived behavioural control (-0.141), university climate (-0.097), subjective norms (0.662), peer to peer relationships (0.108) and attitude (0.235) towards cyberbullying. The ANN results show that image is the biggest predictor (36.35%) of cyberbullying intention, followed by moral disengagement, cyberbullying attitude, PBC, and university climate. These insights provide a deeper understanding of the underlying factors behind cyberbullying among Malaysian tertiary students and offer guidance for reducing cyberbullying in the country. Springer 2024-04 Article PeerReviewed Shaikh, Farhan Bashir and Ayyasamy, Ramesh Kumar and Balakrishnan, Vimala and Rehman, Mobashar and Kalhoro, Shadab (2024) Cyberbullying attitude, intention and behaviour among Malaysian tertiary students - A two stage SEM- ANN approach. Education and Information Technologies, 29 (5). pp. 6293-6317. ISSN 1360-2357, DOI https://doi.org/10.1007/s10639-023-12064-1 <https://doi.org/10.1007/s10639-023-12064-1>. 10.1007/s10639-023-12064-1
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic HN Social history and conditions. Social problems. Social reform
QA75 Electronic computers. Computer science
spellingShingle HN Social history and conditions. Social problems. Social reform
QA75 Electronic computers. Computer science
Shaikh, Farhan Bashir
Ayyasamy, Ramesh Kumar
Balakrishnan, Vimala
Rehman, Mobashar
Kalhoro, Shadab
Cyberbullying attitude, intention and behaviour among Malaysian tertiary students - A two stage SEM- ANN approach
description This study explores the factors affecting cyberbullying behaviour through their attitudes and intentions based on a model developed using Social Cognitive Theory and the Theory of Planned Behaviour. Results from a survey of 428 Malaysian tertiary students were analysed using a two-step Structural Equation Modeling (SEM) -Artificial Neural Networks (ANN) approach. The SEM findings indicate that the intention to engage in cyberbullying is the most influential factor in cyberbullying behaviour, shaped by factors such as image (0.492), moral disengagement (0.211), perceived behavioural control (-0.141), university climate (-0.097), subjective norms (0.662), peer to peer relationships (0.108) and attitude (0.235) towards cyberbullying. The ANN results show that image is the biggest predictor (36.35%) of cyberbullying intention, followed by moral disengagement, cyberbullying attitude, PBC, and university climate. These insights provide a deeper understanding of the underlying factors behind cyberbullying among Malaysian tertiary students and offer guidance for reducing cyberbullying in the country.
format Article
author Shaikh, Farhan Bashir
Ayyasamy, Ramesh Kumar
Balakrishnan, Vimala
Rehman, Mobashar
Kalhoro, Shadab
author_facet Shaikh, Farhan Bashir
Ayyasamy, Ramesh Kumar
Balakrishnan, Vimala
Rehman, Mobashar
Kalhoro, Shadab
author_sort Shaikh, Farhan Bashir
title Cyberbullying attitude, intention and behaviour among Malaysian tertiary students - A two stage SEM- ANN approach
title_short Cyberbullying attitude, intention and behaviour among Malaysian tertiary students - A two stage SEM- ANN approach
title_full Cyberbullying attitude, intention and behaviour among Malaysian tertiary students - A two stage SEM- ANN approach
title_fullStr Cyberbullying attitude, intention and behaviour among Malaysian tertiary students - A two stage SEM- ANN approach
title_full_unstemmed Cyberbullying attitude, intention and behaviour among Malaysian tertiary students - A two stage SEM- ANN approach
title_sort cyberbullying attitude, intention and behaviour among malaysian tertiary students - a two stage sem- ann approach
publisher Springer
publishDate 2024
url http://eprints.um.edu.my/46029/
_version_ 1811682115525279744
score 13.211869

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