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Diffusion of innovation in organizations: Simulation using evolutionary computation

机译:组织中创新的扩散:使用进化计算的模拟

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Diffusion of innovation is a research topic which has been subject to several works in the last years. The diffusion of innovation theory aims to explain how new ideas and practices are disseminated between the members of a social system. A significant part of the existing models are based on the use of parameters which determine the process of innovation adoption, and rely on simple mathematical functions centered in the observation and description of diffusion patterns. This models enable a more explicit diffusion process study, but its use involves the estimation of diffusion coefficients, usually obtained from historical data or chronological series. This raises some problems, for instance when there is no data or it is insufficient. This paper proposes the use of evolutionary computation is an alternative approach for the simulation of innovation diffusion within organizations, in order to overcome some of the problems inherent to the existing models.
机译:创新的扩散是一个研究主题,最近几年受到了几项研究。创新理论的传播旨在解释社会体系成员之间如何传播新思想和新实践。现有模型的很大一部分基于确定创新采用过程的参数的使用,并且依赖于以扩散模式的观察和描述为中心的简单数学函数。该模型可以进行更明确的扩散过程研究,但是其使用涉及扩散系数的估计,通常可以从历史数据或时间序列中获得扩散系数。这就带来了一些问题,例如当没有数据或数据不足时。本文提出了使用进化计算作为组织内部创新扩散模拟的替代方法,以克服现有模型固有的一些问题。

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