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 comput...

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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:
Online Access:http://irep.iium.edu.my/28999/
http://irep.iium.edu.my/28999/
http://irep.iium.edu.my/28999/
http://irep.iium.edu.my/28999/1/tunku_badariah.pdf
http://irep.iium.edu.my/28999/4/28999_subjective%20knowledge%20of%20green%20computing_scopus.pdf
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spelling iium-289992017-09-19T02:12:39Z http://irep.iium.edu.my/28999/ 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. Canadian Center of Science and Education 2014-01-21 Article PeerReviewed application/pdf en http://irep.iium.edu.my/28999/1/tunku_badariah.pdf application/pdf en http://irep.iium.edu.my/28999/4/28999_subjective%20knowledge%20of%20green%20computing_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. 64-74. ISSN 1913-9039 (O), 1913-9020 (P) http://www.ccsenet.org/journal/index.php/ies/article/view/32040 10.5539/ies.v7n2p64
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. © Canadian Center of Science and Education.
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/28999/
http://irep.iium.edu.my/28999/
http://irep.iium.edu.my/28999/
http://irep.iium.edu.my/28999/1/tunku_badariah.pdf
http://irep.iium.edu.my/28999/4/28999_subjective%20knowledge%20of%20green%20computing_scopus.pdf
first_indexed 2023-09-18T20:42:35Z
last_indexed 2023-09-18T20:42:35Z
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