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A proposed adoption model for green IT in manufacturing industries


Asadi, Shahla and Nilashi, Mehrbakhsh and Samad, Sarminah and Rupani, Parveen Fatemeh and Kamyab, Hesam and Abdullah, Rusli (2021) A proposed adoption model for green IT in manufacturing industries. Journal of Cleaner Production, 297. art. no. 126629. pp. 1-16. ISSN 0959-6526


Green information technology (IT) adoption has helped enhance the overall organization’s environmental sustainability. Developing the strategies for effective adoption of Green IT is one of the essential goals of decision-makers. This study purposes to investigate the factors that influence decision-makers’ intention to use Green IT and the proposed green IT adoption model in Malaysian manufacturing firms. The 183 valid data were obtained using survey questionnaires from Malaysia’s manufacturing industries’ industrial managers and examine collect data through two analytical techniques. Two-staged structural equation modeling and artificial neural network applied for hypotheses evaluation and finding the significance level of every factor in the model. The outcomes of hypotheses evaluation through structural equation modeling revealed that managerial interpretation and ascription of responsibility have a significant role in predicting the adoption of green information technology in manufacturing companies. Besides, the Artificial Neural Network (ANN) results showed that the managerial interpretation and ascription of responsibility are considered as the most significant factors of green information technology adoption. This study will help the decision-makers and policymakers develop policies and programs for the effective employment of green information technology in manufacturing industries.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1016/j.jclepro.2021.126629
Publisher: Elsevier
Keywords: Green IT adoption; SEM-Neural network; Manufacturing firms; Managerial interpretation; Awareness of consequence; Ascription of responsibility
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 16 Mar 2023 08:24
Last Modified: 16 Mar 2023 08:24
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.jclepro.2021.126629
URI: http://psasir.upm.edu.my/id/eprint/95982
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