In the age of global warming where there is a need to go green in various sectors of life, it is also an urgent need for different IT industries and companies to incorporate green agenda. The green agenda is also dependent on human behavior. Therefore, it is equally important to explore the factors that positively affect green computing behavior. In this regard, contextual considerations are important. Thus, the purpose of this study is to explore the green computing intent and behavior of heavy IT users, i.e. librarians underpinning the theory of planned behavior.
The study was based on a quantitative research design. A total of 181 survey-based online questionnaires were filled by Pakistani university librarians. The proposed hypothetical model was tested using structural equation modeling in SmartPLS v3.2.
The study findings confirm that attitude and perceived behavioral control have a significant positive impact on the intention to adopt green computing behavior (GC behavior) among academic librarians. The findings further reveal that green computing awareness proved a strong predictor of green computing behavior, as it not only affects GC behavior but also impacts positively on attitude and perceived behavioral control that ultimately affects GC behavior through intention.
The study argues that green computing behavior is dependent on several predictors that can be deployed to develop a positive behavior towards green computing. The study is important as it is the first time conducted on one of the heavy IT user groups, i.e. librarians.
The first author is grateful for the financial support from the University of the Punjab, Lahore, Pakistan to complete the current study.
Soroya, S.H., Mahmood, K., Shahid Soroya, M., Hussain, S. and Ilyas, A. (2022), "Green computing intent and behavior of Pakistani academic librarians: PLS-SEM analysis", Library Hi Tech, Vol. 40 No. 6, pp. 1996-2012. https://doi.org/10.1108/LHT-01-2021-0001
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