A study of Green IT Behavior among Individual Consumers: Responsible Acquisition of Computers

This paper investigated Green IT behaviour of individual consumers described as responsible acquisition of computers (RAC) because computers pose serious environmental issues during their production, use and disposal stages. An extended Theory of Planned Behaviour was used to design the research fra...

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Bibliographic Details
Main Authors: Loo, Wee Hong (Author), Yeow, Paul Heng Ping (Author), Eze, Uchenna Cyril (Author)
Format: Others
Published: ACIS, 2014-12-04T01:20:09Z.
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Online Access:Get fulltext
LEADER 02010 am a22001813u 4500
001 8087
042 |a dc 
100 1 0 |a Loo, Wee Hong  |e author 
700 1 0 |a Yeow, Paul Heng Ping  |e author 
700 1 0 |a Eze, Uchenna Cyril  |e author 
245 0 0 |a A study of Green IT Behavior among Individual Consumers: Responsible Acquisition of Computers 
260 |b ACIS,   |c 2014-12-04T01:20:09Z. 
500 |a Proceedings of the 25th Australasian Conference on Information Systems, 8th - 10th December, Auckland, New Zealand 
500 |a 978-1-927184-26-4 
520 |a This paper investigated Green IT behaviour of individual consumers described as responsible acquisition of computers (RAC) because computers pose serious environmental issues during their production, use and disposal stages. An extended Theory of Planned Behaviour was used to design the research framework for this study. A questionnaire survey was conducted on 100 respondents in an industrially developing country, and descriptive statistics and inferential statistics were used to analyze the survey data. The hierarchical regression analysis indicates that the respondents' responsible acquisition of computer behavioural intention (RACBI) is influenced by the three predictors in the following descending order: perceived behavioural control, positive individual consequences, and attitudes. The explained variance of RACBI increased from 31.8% to 37.1% by adding positive individual consequences and collectivism into TPB model. Meanwhile, the responsible acquisition of computer behaviour (RACB) is largely influenced by the RACBI, followed by perceived behavioural control and self-identity. The explained variance of RACB also increased from 35.3% to 37.5% after incorporating self-identity and habits. Recommendations are provided to improve RACBI and RACB. The findings in this paper would be useful to countries interested in promoting RACB. 
540 |a OpenAccess 
655 7 |a Conference Contribution 
856 |z Get fulltext  |u http://hdl.handle.net/10292/8087