Open AccessThe Effect of Network Embedding on Innovation Performance: Based on the Moderating Effect of Knowledge Distance
Author(s) -
Yubing Han
Publication year - 2022
Publication title -
frontiers in business, economics and management
Language(s) - English
Resource type - Journals
ISSN - 2766-824X
DOI - 10.54097/fbem.v3i2.271
Subject(s) - embedding , knowledge management , moderation , empirical research , value (mathematics) , business , computer science , mathematics , artificial intelligence , machine learning , statistics
Based on the network embedding theory and innovation performance, and taking knowledge distance as a moderating variable, case and empirical research methods are adopted to explore the relationship between network embedding and innovation performance, and to reveal the role of knowledge distance in the relationship between network embedding and innovation performance. The research results have important theoretical and practical value for further improving the structural characteristic system of innovation network and the knowledge flow mechanism of knowledge distance inside and outside enterprises, and further enrich and expand the theory of enterprise innovation performance.