基于多维学习的服务扩散模型构建与实证

基于主体认知渠道和多维消费者网络结构的线下线上异构性，构建多阶段时间序列学习（MSTSL）模型和多维网络学习（MNL）模型，探索多维网络融合的服务扩散规律；基于真实的扩散数据，改进消费者网络的服务扩散模型，并克服社会网络分析的仿真方法缺陷. 以图书服务数据样本进行实证研究发现，本文提出服务扩散模型能够较好地拟合现实数据；服务扩散中消费者的多维学习效应可以发挥重要作用；揭示消费者群体服务采纳服务产品的不同学习影响机制，研究结果有益于深入描述服务产品扩散的内在规律及制定恰当的服务策略.

Modeling and empirical study of service diffusion based on multidimensional learning

Based on subject cognitive approaches and differences between online and offline of service network, this paper constructs multiple stages social learning (MSTSL) model and multiple network learning (MNL) model to seek the service diffusion rule of multilevel cascade network fusion. The service diffusion model based on the consumer network is improved based on the true diffusion data and better than social network simulation methods. It is demonstrated from the empirical study on book service that the model based on consumer network fits the actual books diffusion data better and multidimensional learning effect plays a very important role in the diffusion process. The models based on consumer network reveal learning influence mechanisms of different services. These results are helpful to describe essential diffusion rules for service products and design appropriate service strategies.