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.
Quality & Quantity – Springer Journals
Published: Jun 12, 2011
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