Can the components of green intellectual capital influence employee green behavior? An empirical analysis on Indian energy sector using the partial least squares method
Journal of Intellectual Capital
ISSN: 1469-1930
Article publication date: 8 March 2022
Issue publication date: 28 April 2023
Abstract
Purpose
The study aims to explore the relationship between the dimensions of green intellectual capital (GIC) and employee green behavior (EGB).
Design/methodology/approach
A survey has been conducted among a random representative population of employees working for the energy-sector organizations in India to collect data for this study. Exploratory factor analysis (EFA) for GIC supports the inclusion of the new dimension in its construct. Confirmatory factor analysis (CFA) validates the measurement model. Hypothesized relationships have been examined by applying structural equation modeling using partial least squares method.
Findings
Results corroborate that all the four dimensions of GIC have varying degrees of significant positive impact on EGB. The study contributes to the existing literature by extending the understanding of the concept of GIC and its connection with EGB using natural-resource based theory and social cognitive theory (SCT).
Originality/value
The study has empirically examined the relationship between GIC and EGB in the context of a developing country like India. Moreover, unlike the existing literature that have classified GIC into green human capital (GHC), green structural capital (GSC) and green relational capital (GRC), the study identifies green spiritual capital (GSpC) as another important dimension of GIC which is an intangible asset and highly relevant in influencing altruistic activities like green behavior. The study presents significant implications for managers and policy-makers for ensuring EGB by investing in GIC resources.
Keywords
Citation
Ghosh, A. and Haque, S. (2023), "Can the components of green intellectual capital influence employee green behavior? An empirical analysis on Indian energy sector using the partial least squares method", Journal of Intellectual Capital, Vol. 24 No. 3, pp. 632-652. https://doi.org/10.1108/JIC-10-2021-0284
Publisher
:Emerald Publishing Limited
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