Mechanism of knowledge management process towards minimizing manufacturing risk under green technology implementation: an empirical assessment

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Abstract

Given the critical importance of green technology implementation (GTI) is important for production process improvement and an eco-friendly environment. The present study investigates the connection between GTI and the knowledge management (KM) process to minimize manufacturing risk. This research also validates that an assured combination of green implementation and KM can lead to minimizing manufacturing risk. The sample data (153) was taken from those manufacturing companies that utilize green technologies. Smart PLS 3.2.9 analyzes the relationship between certain variables of GTI and the KM process. Furthermore, fuzzy set qualitative comparative analysis (fsQCA) is used for a combined configurational approach to examine manufacturing risk minimization. The study’s outcome validated that green implementation positively correlated with KM to minimize production risk. fsQCA approach, KM, and green implementation outcome indicated that production risks are minimized. This study contributes to bridging research gaps in the literature and advances understanding of the interrelationship between green implementation and KM processes to minimize manufacturing risk. In addition, research is vital to combine direct and configurational methodologies to highlight two distinct facets of green implementation and the KM process for minimizing manufacturing risk.

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Alam, S., Zhang, J., Khan, N., & Ali, A. (2023). Mechanism of knowledge management process towards minimizing manufacturing risk under green technology implementation: an empirical assessment. Environmental Science and Pollution Research, 30(18), 51977–51994. https://doi.org/10.1007/s11356-023-25945-2

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