适度
非概率抽样
结构方程建模
环境会计
独创性
感知
环境扫描
环境资源管理
环境管理体系
知识管理
心理学
业务
会计
计算机科学
环境科学
社会心理学
生态学
创造力
神经科学
人口
人口学
社会学
机器学习
灌溉
生物
作者
Stefano Bresciani,Shafique Ur Rehman,Guido Giovando,Gazi Mahabubul Alam
出处
期刊:Journal of Knowledge Management
[Emerald (MCB UP)]
日期:2022-05-26
卷期号:27 (4): 896-918
被引量:77
标识
DOI:10.1108/jkm-12-2021-0953
摘要
Purpose This study aims to observe the influence of environmental management accounting (EMA) and environmental knowledge management (KM) practices on environmental performance with mediating role of top management support (TMS). Moreover, green work climate perception (GWCP) is used as a moderator between TMS and environmental performance. Design/methodology/approach Partial least square-structural equation modeling is used to test research hypotheses. Data was collected to distribute questionnaires in light of the purposive sampling technique; a total of 329 questionnaires were used for final analysis. This study is correlational and cross-sectional. Multiple regression analysis was used to see the influence of EMA, environmental KM practices, TMS and GWCP on environmental performance. Findings The results reveal that EMA, environmental KM practices and TMS are positively related to environmental performance. Moreover, TMS significantly mediates between EMA, environmental KM practices and environmental performance. GWCP is positively associated with environmental performance. Finally, GWCP significantly strengthens the positive relationship between TMS and environmental performance. Practical implications This study highlighted a significant issue that of how top management uses EMA, environmental KM practices, TMS and GWCP in examining environmental performance. Moreover, this study covers the gap and supports top management to concentrate on exogenous variables to examine environmental performance. Originality/value This study adds value to literature to focus on factors that influence environmental performance. This initial research observes the influence of EMA and environmental KM practices on environmental performance with TMS as a mediator in light of the knowledge-based view. Besides, GWCP is used as a moderator between TMS and environmental performance. Finally, our research can provide benefits to researchers, students and managers.
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