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Green Intellectual Capital and Green Supply Chain Performance: Does Big Data Analytics Capabilities Matter?

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  • Ayman wael AL-Khatib

    (Horizons of Science Center for Consultation and Research, Luminus Technical University, Amman 11118, Jordan)

  • Ahmed Shuhaiber

    (College of Technological Innovation, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates)

Abstract

In light of global environmental concerns growing, environmental awareness within firms has become more important than before, and many scholars and researchers have argued the importance of environmental management in promoting sustainable organizational performance, especially in the context of supply chains. Thus, the current study aimed at identifying the impact of the components of green intellectual capital (green human capital, green structural capital, green relational capital) on green supply chain performance in the manufacturing sector in Jordan, as well as identifying the moderating role of big data analytics capabilities. To achieve this aim, we developed a conceptual model of Structural Equation Modelling-Partial Least squares and tested through the Smart-PLS software on a sample of 438 respondents. Empirical results showed that each of the components of green intellectual capital and big data analytics explains 71.1% of the variance in green supply chain performance and that all components of green intellectual capital have a statistically significant impact on green supply chain performance. The results also revealed that the relationship between green relational capital and green supply chain performance is moderated through big data analytics capabilities. Finally, this study made a theoretical and managerial implications to the supply chain literature and industry.

Suggested Citation

  • Ayman wael AL-Khatib & Ahmed Shuhaiber, 2022. "Green Intellectual Capital and Green Supply Chain Performance: Does Big Data Analytics Capabilities Matter?," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10054-:d:887791
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