Green Information Technology (it) Adoption in Ethiopian Telecom Industry: the Case of Addis Ababa Zonal Administrations
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Date
2020-09-09
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Addis Ababa University
Abstract
Green information technology (IT) has become one of the widely debated issues around the world, and there has been increasing pressure to adopt green practices that are more environment-friendly. Among the most crucial practices, green IT practices broadly considered as most organizations and individuals use some form of IT to perform their day to day activity. In due course, the effect of climate change has shifted the focus to green technologies worldwide as the result of global warming. Subsequently, multiple studies have attempted to assess awareness towards the concept of green IT in different countries. This paper aims to explore factors affecting green IT adoption in the context of Ethio-telecom as ICT intensive sector in Ethiopia through determining the cognitive beliefs of IT professionals and managers. Many of prior research focused on factors influencing green IT adoption from the organizational point of view, and there is not much literature dedicated to the study of green IT belief and behavior at individual level. Moreover, most studies tend to focus on developed nations, while a lesser number of studies gave consideration to developing nations. Hence, this study proposed an inter-blended framework that incorporates three personality trait factors to the theory of planned behavior so as to investigate factors influencing actual behavior of adopting green IT as the result of initial decisions made at individual level. Furthermore, a two phase sequential explanatory mixed research design was employed and quantitative data was gathered by administering 289 valid questionnaires as well as interviews were conducted sequentially. Exploratory Factor Analysis (EFA) was used for determining unidimensionality of constructs via examining Correlation Matrix, Kaiser-Meyer-Olkin, Bartlett’s Test of Sphericity and Factor Loadings with principal components extraction method followed by Confirmatory Factor Analyses (CFA) via convergent and discriminant validity tests to verify the multidimensionality of each constructs’ scale items. In addition, Structural Equation Modeling (SEM) was employed to examine the hypothesized relationships and positive relationship of BI with attitude toward green IT, subjective norms toward green IT, perceived behavioral control toward green IT, consideration of future consequences and openness were found, and also, a positive relationship between Behavioral Intention (BI) to adopt green IT and Actual Behavior (AB) to adopt green IT was established; however, Neuroticism (NR) was found with insignificant relationship with BI. In addition, the hypothesized mediation relationships were tested using Baron and Kenney’s causal step approach and bootstrapping methods; and BI was found as a mediator for the prior predictors and actual behavior of adopting green IT as well as moderating effect of gender, age and IT experiences were assessed via metric and configural invariance test and the groups revealed with no difference at model level but specified dissimilar at path level so that each path differences were determined. As the result of these findings, conclusions were drawn and a better fit model was proposed along with the recommendations put forwarded as well as limitations, contributions, implication and directions for future research are presented.
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Keywords
Openness, Attitude, Subjective Norms, Perceived Behavioral Control, Behavioral Intention, Actual Behavior to Adopt Green it, Consideration of Future Consequences, Openness to new Experiences, Neuroticism