Based on the resource orchestration theory, this study built a research model to understand the effect of supply chain network insight and supply chain integration on enterprise performance. We also involved the contingency theory to investigate the moderating effect of environmental uncertainty on supply chain integration and enterprise performance. We collected the data samples from 405 enterprises and used the SEM approach to verify the model. Results demonstrated the direct path of network insight to promote enterprise performance, the indirect path of supply chain integration as a mediating factor, and the role of environmental uncertainty as a boundary condition for the relationship between supply chain integration and enterprise performance, thus making theoretical and practical contributions to the management of supply chain resources and relationships and the performance enhancement of manufacturing.
This study integrates social network theory and dynamic capability theory to explore the influence of network insight on entrepreneurial performance under the mediating role of resource integration, and the influence path of dynamic management capability. We test a series of hypotheses using survey data from 228 Chinese enterprises and applying partial least squares based structural equation modeling (PLS-SEM). Our study provides knowledge to understand new ventures’ performance promotion from a new perspective of network insight. We empirically found a mechanism between structural insight, relational insight, and environmental insight on entrepreneurial performance. Besides, this study also revealed a boundary condition of dynamic management capability to understand how organizational resource integration motivates entrepreneurial performance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.