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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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Drivers of farmers' intention to use integrated pest management: Integrating theory of planned behavior and norm activation model.

TL;DR: Comparing the constructs of TPB and NAM and particularly adding the interrelationships among the volitional, moral, and cognitive dimensions of the two models significantly enhanced the predictive power, utility, and comprehensiveness of the proposed framework for explaining farmers' intention to use IPM practices.
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Analysis of factors influencing residents’ habitual energy-saving behaviour based on NAM and TPB models: Egoism or altruism?

TL;DR: Wang et al. as discussed by the authors found that the daily energy-saving behaviors of urban residents in China are mostly motivated by "altruism", and they put forward some specific policy suggestions from three aspects: policy effectiveness, information behind the big data and the publicity by the Internet.
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Energy efficiency and low carbon enabler green it framework for data centers considering green metrics

TL;DR: The proposed framework seamlessly divides data center components into different resource pools and then applies green metrics like Power Usage Effectiveness, Data Center Effectiveness and Carbon Emission Calculator to measure performance of individual components so that benchmarking values can be achieved and set as standard to be followed by data centers.
Journal ArticleDOI

Determinants and implications of citizens’ environmental complaint in China: Integrating theory of planned behavior and norm activation model

TL;DR: Wang et al. as mentioned in this paper presented a study using an integrated theoretical framework of the theory of planned behavior and the norm activation model to explore the determinants of citizens' environmental complaint intention.
Journal ArticleDOI

Word-of-mouth, buying, and sacrifice intentions for eco-cruises: Exploring the function of norm activation and value-attitude-behavior

TL;DR: In this paper, the authors investigated passengers' decision formation by employing the Norm Activation Model (NAM), to extend it by integrating the value-attitude-behavior cognitive hierarchy, emotional process, and normative procedure, and test the moderating impact of non-green alternatives' attractiveness in a cruise context.
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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.