循环经济
大数据
适度
结构方程建模
分析
业务
人力资源管理
人力资源
持续性
产业组织
知识管理
环境经济学
经济
数据科学
计算机科学
管理
数据挖掘
生态学
生物
机器学习
作者
Waqas Khan,Qasim Ali Nisar,Muhammad Azam Roomi,Sobia Nasir,Usama Awan,Muhammad Rafiq
标识
DOI:10.1080/09640568.2023.2189544
摘要
This study aimed to illustrate the impact of green human resources management on circular economy performance; the mediator role of green innovation; and the moderator roles of big data analytics and data-driven culture. A total of 438 survey questionnaires were collected from small and medium-sized enterprises from the Pakistani textile sector and evaluated through partial least square-structural equation modelling. The study's outcomes revealed that green human resources management significantly impacts circular economy performance. Similarly, green innovation and big data analytics mediated and moderated between green human resources management and circular economy performance. Nevertheless, data-driven culture is needed to moderate between green human resources management and circular economy performance. The study presented a unique and novel idea of green human resources management concerning circular economy performance – the best solution for sustainable environmental fortification in the current decade while enhancing circular economy performance.
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