Affiliation:
1. Zhejiang Gongshang University, Hangzhou, China
Abstract
The entrepreneurial ecosystem (EE) has always been a current research hotspot. However, there is currently limited empirical research at the micro-level of EE. Based on organizational learning theory, this study constructs a model integrating the ambidextrous learning, resource acquisition, venture performance, and EE network relationships of new ventures under EE. Based on survey data of 193 new ventures in EE in Hangzhou, China, our results illustrate that (1) the ambidextrous learning of new ventures in EE positively affects venture performance through resource acquisition and (2) the EE network relationships have a negative moderating effect between ambidextrous learning and resource acquisition. We contribute to research on the bidirectional connection between the entrepreneurial activities of new ventures and EE from the perspectives of ambidextrous learning and EE network relationships, organizational learning theory, and micro-foundations of EE.
Funder
National Natural Science Foundation of China
general program of National Natural Science Foundation of China