虚拟企业在技术创新扩散过程中决策采纳优化算法

在技术创新扩散过程中很少创新是一进入市场就被立刻采用的。当具备采纳创新技术所需的财务条件时，企业主要考虑何时及如何配置各资源比例达到效用最大化的问题，这是一个多阶段有限理性的决策过程。本文提出运用反向传播算法进行定量计算，解决了企业在创新技术决策采纳过程中资源权重配置的问题，通过虚拟企业实证为企业决策优
优化采纳提供了可行性的参考依据。

Back-Propogation-Based Decision Analysis for VirtualEnterprises in Technology Innovation Diffusion

In technology innovation diffusion, few innovations can be adopted at the beginning of entering the market. When the financial requirements for adopting innovated technology are met, enterprises consider primarily when and how to allocate the resources to achieve utility maximization, which is a multi-stage limited rational decision process. In this paper, to solve the problem of resource realloeation in the adoption of innovative technology and to support the decision of enterpri- ses,the back propogation （BP） algorithm is used for quantitative analysis. The method proposed is proved to be effecttive through virtual enterprises demonstrations.