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解锁绿色创新和环境绩效:绿色吸收能力和绿色创新氛围的中介调节作用。

Unlocking green innovation and environmental performance: the mediated moderation of green absorptive capacity and green innovation climate.

机构信息

School of Management, Jiangsu University, Zhenjiang, Jiangsu, China.

Department of Business Administration, IBA University, Sukkur, Pakistan.

出版信息

Environ Sci Pollut Res Int. 2024 Jan;31(3):4547-4562. doi: 10.1007/s11356-023-31403-w. Epub 2023 Dec 16.

Abstract

This study extends the foundations of the natural resource-based view (NRBV) by introducing a mediation-moderation framework by analyzing the influence of green intellectual capital (GIC) on both green innovation performance (GIP) and environmental performance (EP) while simultaneously considering the mediating role of green absorptive capacity (GAC) and the moderating influence of the green innovation climate (GICL). The data for this study was gathered from a sample of 575 participants employed within small and medium enterprises' (SMEs') manufacturing firms. This dataset was utilized to evaluate the proposed model; this study uses the PLS-SEM approach to comprehensively examine the complex interactions among these variables. This model adds to the theoretical understanding of NRBV and enhances its practical applicability. The findings of this study reveal a positive relationship between GIC, GAC, GIP, and EP within organizations. Furthermore, our investigation reveals a positive correlation between a GICL and the relationships involving GIC, GAC, GIP, and EP. Importantly, this research introduces a novel perspective by clarifying the complex relations among these variables and highlighting the positive correlation between a GICL and the relationships involving GIC, GAC, GIP, and EP. This novel approach enhances the theoretical understanding of NRBV and its practical applicability in fostering GIP and EP within manufacturing SMEs operating in Pakistan.

摘要

本研究通过分析绿色智力资本(GIC)对绿色创新绩效(GIP)和环境绩效(EP)的影响,同时考虑绿色吸收能力(GAC)的中介作用和绿色创新氛围(GICL)的调节作用,扩展了自然基础观(NRBV)的基础。本研究的数据来自于中小企业(SMEs)制造企业中 575 名员工的样本。本数据集用于评估所提出的模型;本研究使用 PLS-SEM 方法全面考察这些变量之间的复杂相互作用。该模型增加了对 NRBV 的理论理解,并增强了其实用性。本研究的结果表明,组织内 GIC、GAC、GIP 和 EP 之间存在正相关关系。此外,我们的调查还揭示了 GICL 与 GIC、GAC、GIP 和 EP 之间关系的正相关关系。重要的是,本研究通过阐明这些变量之间的复杂关系,并强调 GICL 与 GIC、GAC、GIP 和 EP 之间关系的正相关关系,提出了一种新的视角。这种新方法增强了对 NRBV 的理论理解及其在促进巴基斯坦制造型中小企业 GIP 和 EP 方面的实际应用。

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