Research on knowledge sharing and interpersonal relationships: empirical study of family firms and non-family firms

This article discusses the difference between Chinese family and non-family firms based on incentive reward systems, knowledge-sharing networks, and differential patterns. An empirical study was conducted by combining a linear multivariate statistical analysis with a nonlinear fuzzy neural network model. The results show that although the supervisors of family firms have a lower preference for incentive reward systems for knowledge sharing, they demonstrate a higher preference for centralized knowledge-sharing networks and differential patterns. Copyright Springer Science+Business Media B.V. 2013