Unpacking Green Orientation, Green Technology Dynamism and Perceived Environmental Performance in an Emerging Economy: Insights From SEM and NCA Approaches
基于自然资源基础观和动态能力理论，探讨绿色创业导向、绿色可持续导向和数字绿色技术导向如何影响环境绩效，并检验绿色技术动态性的调节作用，对新兴经济体企业有实践指导意义。
ABSTRACT Building on the natural resource–based view (NRBV) and dynamic capability theories, this study critically explores how green entrepreneurial orientation (GEO), green sustainability orientation (GSO) and digital green technology orientation (DGTO) influence environmental performance (EP), while also examining the moderating role of green technology dynamism. Unlike earlier studies that often focus on individual sustainability practices, this research argues that a synergistic combination of GEO, GSO and DGTO is vital for firms aiming to achieve meaningful environmental results, especially in emerging economies. Using purposive sampling, data were gathered from 381 employees in Bangladesh's readymade garment industry, and the hypothesised model was thoroughly tested via partial least squares structural equation modelling (PLS‐SEM) and necessary condition analysis (NCA), ensuring both relational and necessity‐based evidence for the proposed connections. The results confirm that GEO, GSO and DGTO each have a significant positive effect on EP, and notably, that GTD enhances these relationships. This emphasises that EP is not simply a matter of adopting green initiatives but depends critically on a firm's capacity to dynamically leverage technological change. Theoretically, this study advances NRBV and DCT by illustrating their combined explanatory power in EP, thus addressing the ongoing gap in applying these frameworks within the sustainability literature of emerging economies. Practically, the research suggests that policymakers, industry leaders and managers need to move beyond static green practices and foster integrated, technology‐driven and dynamic green orientations to produce measurable environmental impact. By connecting theoretical perspectives with practical insights, this work contributes to both academic debate and strategic guidance for advancing the Sustainable Development Goals (SDGs) in resource‐constrained settings.