摘要
针对缺乏科技型企业高管团队决策绩效评价的研究现状,构建评价指标体系,通过问卷调查的方法收集研究数据,建立科技型企业高管团队决策绩效评价的ELMAN神经网络模型,并利用MATLAB软件计算实现。研究结果表明:利用ELMAN神经网络的非确定性因果关系映射特点建立的决策绩效评价模型,能够完成决策绩效评价任务,可用于评价科技型企业高管团队的决策绩效,不仅验证了方法的有效性,而且也证明了ELMAN神经网络在建立非线性、非确定性因果关系映射模型中的强大生命力。
According to the research status what TMT decision performance evaluation in science and technology enterprises was short, this paper gave the evaluation index system, collected research data with questionnaires, established F_2.MAN neural network model for TMT decision performance evaluation in science and technology enterprises, and the calculation was realized with MATLAB software. The results showed that: the model of decision performance evaluation which is established by using the non deterministic causal relationship mapping characteristics of ELMAN neural network can complete the task of decision perfor- mance evaluation, it may be used to evaluate TMT decision performance in science and technology enterprises, this not only veri- ties the validity of the method, but also proves the strong vitality what puts ELMAN neural network into establishing the nonlinear and non deterministic causal relationship mapping model.
出处
《现代情报》
CSSCI
2014年第3期110-114,共5页
Journal of Modern Information
基金
国家社科基金项目(项目编号:11BGL014)
国家软科学研究计划项目(项目编号:2013GXQ4D165)
上海市教委科研创新重点项目(项目编号:14ZS117)
上海市一流学科建设项目(项目编号:S1205YLXK)
上海市研究生创新基金项目(项目编号:JWCXSL1201)
关键词
科技型企业
高管团队
决策绩效评价
ELMAN神经网络模型
science and technology enterprises
TMT
decision performance evaluation
EI_MAN neural network model