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Investigating factors influencing decision-makers’ intention to adopt Green IT in Malaysian manufacturing industry

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In this paper, the authors developed a model by integrating two theoretical models, Theory of Planned Behavior and Norm Activation Theory, to explore individual factors that influence decision makers in manufacturing sector in Malaysia to adopt Green IT via the mediation of personal norms.
Abstract
Green IT has attracted policy makers and IT managers within organizations to use IT resources in cost-effective and energy-efficient ways. Investigating the factors that influence decision-makers’ intention towards the adoption of Green IT is important in the development of strategies that promote the organizations to use Green IT. Therefore, the objective of this study stands to understand potential factors that drive decisions makers in Malaysian manufacturing sector to adopt Green IT. This research accordingly developed a model by integrating two theoretical models, Theory of Planned Behavior and Norm Activation Theory, to explore individual factors that influence decision’ makers in manufacturing sector in Malaysia to adopt Green IT via the mediation of personal norms. Accordingly, to determine predictive factors that influence managerial intention toward Green IT adoption, the researchers conducted a comprehensive literature review. The data was collected from 183 decision-makers from Malaysian manufacturing sector and analyzed by Structural Equation Modelling. This research provides important preliminary insights in understanding the most significant factors that determined managerial intention towards Green IT adoption. The model of Green IT adoption explained factors which encourages individual decision-makers in the Malaysian organizations to adopt Green IT initiatives for environment sustainability.

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Investigating factors influencing decision-makers’ intention to adopt Green IT in
Malaysian manufacturing industry
ABSTRACT
Green IT has attracted policy makers and IT managers within organizations to use IT
resources in cost-effective and energy-efficient ways. Investigating the factors that influence
decision-makers’ intention towards the adoption of Green IT is important in the development
of strategies that promote the organizations to use Green IT. Therefore, the objective of this
study stands to understand potential factors that drive decisions makers in Malaysian
manufacturing sector to adopt Green IT. This research accordingly developed a model by
integrating two theoretical models, Theory of Planned Behavior and Norm Activation
Theory, to explore individual factors that influence decision’ makers in manufacturing sector
in Malaysia to adopt Green IT via the mediation of personal norms. Accordingly, to
determine predictive factors that influence managerial intention toward Green IT adoption,
the researchers conducted a comprehensive literature review. The data was collected from
183 decision-makers from Malaysian manufacturing sector and analyzed by Structural
Equation Modelling. This research provides important preliminary insights in understanding
the most significant factors that determined managerial intention towards Green IT adoption.
The model of Green IT adoption explained factors which encourages individual decision-
makers in the Malaysian organizations to adopt Green IT initiatives for environment
sustainability.
Keywords: Manufacturing sector decision-makers perspectives; Norm activation theory;
Theory of planned behaviour; Green IS; Green IT
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References
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Journal ArticleDOI

Efficacy of the Theory of Planned Behaviour: a meta-analytic review.

TL;DR: A quantitative integration and review of research on the Theory of Planned Behaviour and the subjective norm, which found that intentions and self-predictions were better predictors of behaviour than attitude, subjective norm and PBC.
Journal ArticleDOI

Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics:

TL;DR: The convergence and differentiation criteria, as applied by Bagozzi, are shown not to stand up under mathematical or differentiation criteria.
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Understanding Information Technology Usage: A Test of Competing Models

TL;DR: The results indicate that the decomposed Theory of Planned Behavior provides a fuller understanding of behavioral intention by focusing on the factors that are likely to influence systems use through the application of both design and implementation strategies.
Journal ArticleDOI

New Environmental Theories: Toward a Coherent Theory of Environmentally Significant Behavior

TL;DR: A conceptual framework for advancing theories of environmentally significant individual behavior and reports on the attempts of the author's research group and others to develop such a theory is developed in this article. But, it does not consider the effect of environmental concern on individual behavior.
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Q1. What contributions have the authors mentioned in the paper "Investigating factors influencing decision-makers’ intention to adopt green it in malaysian manufacturing industry abstract green it has attracted policy makers and it managers within organizations to use it resources in cost-effective and energy-efficient ways. investigating the factors that influence decision-makers’ intention towards the adoption of green it is important in the development" ?

Therefore, the objective of this study stands to understand potential factors that drive decisions makers in Malaysian manufacturing sector to adopt Green IT. This research accordingly developed a model by integrating two theoretical models, Theory of Planned Behavior and Norm Activation Theory, to explore individual factors that influence decision ’ makers in manufacturing sector in Malaysia to adopt Green IT via the mediation of personal norms. This research provides important preliminary insights in understanding the most significant factors that determined managerial intention towards Green IT adoption.