基于个人创新性相对指标的修正微观决策创新扩散模型

Modified micro decision-making innovation diffusion model based on individual innovative relative index

针对微观决策的创新扩散模型的随机游走过程中,新信息传递的创新性能难以实际度量的问题,构建用于描述采纳时间先后顺序的个人创新性相对指标.借鉴Rogers依据采纳时间横向划分五类采纳人群的方法,明确个体所属的采纳类型,为不同类型的采纳者采取不同对策提供依据.以安全系统开发的创新扩散过程为实际应用案例,将人群按管理角色纵向划分为三类,对比分析每类管理角色的采纳时间特征,说明了个人创新性相对指标的应用方法,并通过实证研究验证其合理性.

To solve the actual measurement difficult problem of innovation performance transmitted by new information in the process of random walk in the micro decision-making innovation diffusion model, an individual innovative relative index to describe adoption time sequence was built. According to the horizontal partitioning method of five adopter types aiming at the relationship of adopters and adoption time proposed by Rogers, the adoption types of individual adopted successively were defined, which provided the basis for different types of decision makers to take different measures. With the practical application cases of the innovation diffusion process of security System development, the potential people were divided into three categories by their longitudinal management roles. The adoption time characteristics of each management role was analyzed comparatively, and the application methods and applicable conditions of the individual innovative relative index were explained.