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基于BP神经网络的家族企业契约治理模式识别与选择研究 被引量:3

A Research on Identifying and Selecting the Contract Governance Mode of Family Enterprises Based on BP Neural Network
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摘要 企业契约分为显性契约与隐性契约,家族企业契约治理按其强度可分为9种模式。本研究按误差逆传播多层前馈方法构建的25-13-3型BP神经网络模型,能有效地识别家族企业契约治理模式。由此可推知,成长期、发展期和成熟期家族企业通常会分别选择弱显强隐、中显中隐和强显强隐的契约治理模式。而家族企业经营绩效的分类分析表明,强显强隐是家族企业最有效率的契约治理模式。 Enterprise contracts are divided into dominant contract and recessive contract,so,the contract governance of family enterprises can be divided into nine modes by its strength agreement.The 25-13-3 type BP neural network model,which is constructed in this research by the method of multilayer forward feedback transmitting inversely error,can effectively identify the contract governance mode of family enterprises.It infers that family enterprises in formative,developing and matured period always select respectively the week-dominant and strong-recessive contract governance model,the medium-dominant and medium-recessive contract governance model,and the strong-dominant and strong-recessive contract governance model.The classified analysis about the performance of family enterprises shows that the strong-dominant and strong-recessive contract governance mode is the most efficient in all.
出处 《中国管理科学》 CSSCI 北大核心 2011年第1期159-166,共8页 Chinese Journal of Management Science
基金 国家自然科学基金项目(70973035) 湖南省社科规划项目(08JD37) 湖南省哲学社会科学基金项目(09YBB150)
关键词 家族企业 BP神经网络 契约治理模式识别 契约治理模式选择 family enterprise BP neural network the contract governance mode
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