| Title | Opening a new horizon in green HRM practices with big data analytics and its analogy to circular economy performance: an empirical evidence |
|---|---|
| ID_Doc | 3104 |
| Authors | Chau, KY; Huang, T; Moslehpour, M; Khan, W; Nisar, QA; Haris, M |
| Title | Opening a new horizon in green HRM practices with big data analytics and its analogy to circular economy performance: an empirical evidence |
| Year | 2023 |
| Published | |
| Abstract | The study illustrates the impact of green HR management on circular economy performance along with the mediator role of green innovation and moderator roles of big data analytics and data-driven culture. The 438 survey questionnaires were collected from textile sector SMEs and evaluated through PLS-SEM functionality. The study outcomes deliberated that green HRM has shown a significant positive impact on circular economy performance. Similarly, green innovation and big data analytics sanctioned mediators and moderator roles by focusing on circular economy performance. Therefore, data-driven culture did not perform as a moderator task between green innovation and circular economy performance. The study developed a hypothetical distinctive connection of resource base view theorem and absorptive capacity theory that recognized a firm's resources or capabilities as new value, externally generated knowledge, and its implementation to accomplish the competitive benefit in an outline of circular economy performance. The SMEs will acquire advantage from this study in the perspective of new business systems, changing consumption patterns, re-cycling, repair, re-use, re-manufacturing, product sharing, and modularization for sustainable performance. The study would be exceedingly valuable for the foundation of policy documents regarding developing an environmental strategic tool kit in the outline of a green HR environment, big data involvement, and enhancement of circular economy performance with sustainable environmental protection. |
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