Identifying the equifinal configurations of prompting green supply chain integration and subsequent performance outcome

Although green supply chain integration (GSCI) is essential for enterprises to address environmental challenges, existing literature mainly focuses on the net effect of a single factor that cannot well explain and guide the implementation of GSCI. Based on technology–organization–environment (TOE) framework, we develop a configurational framework and propose that GSCI depends on the interactions between perceived institutional force, green human resource management (GHRM), and big data analytics capability (BDAC). Moreover, we further investigate the impacts of high GSCI generated by different configurations on operational and environmental performance. By integrating fuzzy set qualitative comparative analysis (fsQCA) and propensity score matching, we reveal multiple equifinal configurations sufficient to three dimensions of GSCI and identify them into three types: GHRM oriented, GHRM + BDAC oriented, and perceived institutional force + GHRM + BDAC balance. The results further indicate that high GSCI triggered by multiple configurations has different effects on operational and environmental performance. These findings extend the GSCI research and provide theoretical guidance for managers to develop GSCI.