University students’ subjective knowledge of green computing and pro-environmental behavior

This cross-sectional survey examined the structure of university students’ subjective knowledge of green computing–hypothesized to be a multidimensional construct with three important dimensions–and its association with pro-environmental behavior (PEB). Using a previously validated green computing q...

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Main Authors:	Tunku Ahmad, Tunku Badariah, Nordin, Mohamad Sahari
Format:	Article
Language:	English English
Published:	Canadian Center of Science and Education 2014
Subjects:	L Education (General)
Online Access:	http://irep.iium.edu.my/45984/ http://irep.iium.edu.my/45984/ http://irep.iium.edu.my/45984/ http://irep.iium.edu.my/45984/1/1_IES_GC.pdf http://irep.iium.edu.my/45984/4/47584_A%20hydrophobic%20barrier%20deep_SCOPUS.pdf

id	iium-45984
recordtype	eprints
spelling	iium-459842018-01-09T09:35:12Z http://irep.iium.edu.my/45984/ University students’ subjective knowledge of green computing and pro-environmental behavior Tunku Ahmad, Tunku Badariah Nordin, Mohamad Sahari L Education (General) This cross-sectional survey examined the structure of university students’ subjective knowledge of green computing–hypothesized to be a multidimensional construct with three important dimensions–and its association with pro-environmental behavior (PEB). Using a previously validated green computing questionnaire, data were collected from 842 undergraduate students attending ten different public universities in Malaysia. The sample was split into two random halves (n1=400 and n2=442) to allow for Factor Analysis procedures and Structural Equation Modeling (SEM) to be conducted. Principal Component Analysis extracted a three-factor structure of subjective knowledge consisting of knowledge about green computing (GC) vocabulary, computer nature or characteristics, and e-waste, while Confirmatory Factor Analysis procedures confirmed the structure’s measurement validity. SEM fit statistics indicated a strong influence of subjective GC knowledge on PEB with its three extracted dimensions cumulatively explaining 37% of students’ reported PEB. The results confirmed the study’s hypotheses regarding the multidimensionality of subjective knowledge, the adequacy of the measurement model of subjective knowledge, and its strong positive role in influencing PEB. The article concludes with guidelines for future research in areas involving green computing, subjective knowledge and PEB with an emphasis on the conceptualization and measurement of each construct Canadian Center of Science and Education 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/45984/1/1_IES_GC.pdf application/pdf en http://irep.iium.edu.my/45984/4/47584_A%20hydrophobic%20barrier%20deep_SCOPUS.pdf Tunku Ahmad, Tunku Badariah and Nordin, Mohamad Sahari (2014) University students’ subjective knowledge of green computing and pro-environmental behavior. International Education Studies, 7 (2). pp. 1-11. ISSN 1913-9020 http://www.ccsenet.org/ies/ 10.5539/
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	L Education (General)
spellingShingle	L Education (General) Tunku Ahmad, Tunku Badariah Nordin, Mohamad Sahari University students’ subjective knowledge of green computing and pro-environmental behavior
description	This cross-sectional survey examined the structure of university students’ subjective knowledge of green computing–hypothesized to be a multidimensional construct with three important dimensions–and its association with pro-environmental behavior (PEB). Using a previously validated green computing questionnaire, data were collected from 842 undergraduate students attending ten different public universities in Malaysia. The sample was split into two random halves (n1=400 and n2=442) to allow for Factor Analysis procedures and Structural Equation Modeling (SEM) to be conducted. Principal Component Analysis extracted a three-factor structure of subjective knowledge consisting of knowledge about green computing (GC) vocabulary, computer nature or characteristics, and e-waste, while Confirmatory Factor Analysis procedures confirmed the structure’s measurement validity. SEM fit statistics indicated a strong influence of subjective GC knowledge on PEB with its three extracted dimensions cumulatively explaining 37% of students’ reported PEB. The results confirmed the study’s hypotheses regarding the multidimensionality of subjective knowledge, the adequacy of the measurement model of subjective knowledge, and its strong positive role in influencing PEB. The article concludes with guidelines for future research in areas involving green computing, subjective knowledge and PEB with an emphasis on the conceptualization and measurement of each construct
format	Article
author	Tunku Ahmad, Tunku Badariah Nordin, Mohamad Sahari
author_facet	Tunku Ahmad, Tunku Badariah Nordin, Mohamad Sahari
author_sort	Tunku Ahmad, Tunku Badariah
title	University students’ subjective knowledge of green computing and pro-environmental behavior
title_short	University students’ subjective knowledge of green computing and pro-environmental behavior
title_full	University students’ subjective knowledge of green computing and pro-environmental behavior
title_fullStr	University students’ subjective knowledge of green computing and pro-environmental behavior
title_full_unstemmed	University students’ subjective knowledge of green computing and pro-environmental behavior
title_sort	university students’ subjective knowledge of green computing and pro-environmental behavior
publisher	Canadian Center of Science and Education
publishDate	2014
url	http://irep.iium.edu.my/45984/ http://irep.iium.edu.my/45984/ http://irep.iium.edu.my/45984/ http://irep.iium.edu.my/45984/1/1_IES_GC.pdf http://irep.iium.edu.my/45984/4/47584_A%20hydrophobic%20barrier%20deep_SCOPUS.pdf
first_indexed	2023-09-18T21:05:26Z
last_indexed	2023-09-18T21:05:26Z
_version_	1777410901920448512

University students’ subjective knowledge of green computing and pro-environmental behavior

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