Behavioural model for decision-makers towards the intention to adopt Green information technology: a preliminary study


Citation

Othman Ibrahim, . and Buba Abba Kyari, . Behavioural model for decision-makers towards the intention to adopt Green information technology: a preliminary study. pp. 2409-2434. ISSN 2231-8526

Abstract

This preliminary survey investigates and validates the measurement model of factors influencing decision makers intentions to adopt Green information technology (Green-IT) in manufacturing sectors in Nigeria. The Norm Activation Model (NAM) and Theory of Planned Behaviour (TPB) were used to explore the factors that could influence decision-makers intention in adopting Green-IT. Using constructs from the NAM and TPB this survey proposes a model for identified behavioural factors. A quantitative research approach with a data collection and analysis plan using a cross-sectional survey design was adopted. A sample of 30 decision-makers in the top three manufacturing industries in Nigeria was selected using a purposive sampling procedure for participation in the study. The data collected was analysed using Partial Least Square Structural Equation Modelling (PLS-SEM) to test the proposed model. The model was validated in two phases: (i) Initial Measurement Model and (ii) Modified Measurement Model. Findings revealed that Green-IT Attitude Subjective Norm Ascription of Responsibility Awareness of Consequences Personal Norm Environmental Concern and Perceive Behavioural Control were the key elements of the behavioural intention model to adopt Green-IT with 31 indicators having factor loadings of 0.5 adequate internal consistency reliability CR 0.7 and Cronbachs Alpha 0.7. The result revealed convergent validity and acceptable discriminant validity was assessed using AVE 0.5 and Fornell-lackers criterion. The results from the full-scale study would contribute to developing a context-speci�c model to examine Green-IT adoption in developing nations.


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Abstract

This preliminary survey investigates and validates the measurement model of factors influencing decision makers intentions to adopt Green information technology (Green-IT) in manufacturing sectors in Nigeria. The Norm Activation Model (NAM) and Theory of Planned Behaviour (TPB) were used to explore the factors that could influence decision-makers intention in adopting Green-IT. Using constructs from the NAM and TPB this survey proposes a model for identified behavioural factors. A quantitative research approach with a data collection and analysis plan using a cross-sectional survey design was adopted. A sample of 30 decision-makers in the top three manufacturing industries in Nigeria was selected using a purposive sampling procedure for participation in the study. The data collected was analysed using Partial Least Square Structural Equation Modelling (PLS-SEM) to test the proposed model. The model was validated in two phases: (i) Initial Measurement Model and (ii) Modified Measurement Model. Findings revealed that Green-IT Attitude Subjective Norm Ascription of Responsibility Awareness of Consequences Personal Norm Environmental Concern and Perceive Behavioural Control were the key elements of the behavioural intention model to adopt Green-IT with 31 indicators having factor loadings of 0.5 adequate internal consistency reliability CR 0.7 and Cronbachs Alpha 0.7. The result revealed convergent validity and acceptable discriminant validity was assessed using AVE 0.5 and Fornell-lackers criterion. The results from the full-scale study would contribute to developing a context-speci�c model to examine Green-IT adoption in developing nations.

Additional Metadata

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Item Type: Article
AGROVOC Term: Industrial sector
AGROVOC Term: Environmental protection
AGROVOC Term: Innovation adoption
AGROVOC Term: Information technology
AGROVOC Term: Information systems
AGROVOC Term: Industrial development
AGROVOC Term: Decision making
AGROVOC Term: Environmental degradation
Depositing User: Mr. AFANDI ABDUL MALEK
Last Modified: 24 Apr 2025 00:55
URI: http://webagris.upm.edu.my/id/eprint/10129

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