互动创新知识驱动的在线社群动态定制模型、持续创新方法与应用

In view of existing research on co-creation knowledge discovery from social networks, some problems have not been fully considered, such as ineffective identification of target customer groups, mismatched supply and demand, low sales conversion rate, and poor customization abilities of continuing innovation, etc. Therefore, this research proposes and evaluates a novel online community-based dynamic customization model and method of continuous innovation driven by co-creation knowledge. First of all, on the basis of identifying and dealing with co-creation knowledge and customer clustering, the project will build an online community-based co-creation knowledge network space, in which a customer community, customers’ demand of attribute combination, and products’ custom attribute combination mapped interactively. Taking that as a support, this project will study methods, interactive processes and constraints of relevant communities with common product attributes realizing accurate customization, and builds an online community-based dynamic customization model. Furthermore, the project proposes 4Cs to monitor dynamic changes of a customer community, and will examine the preference forecast of customized product combination and effective maintenance of the customer community, and designs a novel method of continuous innovation for the online community-based dynamic customization，in order to provide support for continuing development of online customization enterprises. Finally, by using the smart home customization as an example, this project will verify the proposed model and method. Online community-based dynamic customization is an organic combination of community economy and mass customization, which can provide new insights and scientific methodologies for custom enterprises to meet the needs of both supply and demand and to promote the ability of sustainable innovation customization in the big data era.

针对现有定制企业对社交网络下的互动知识挖掘研究中，未充分考虑目标客户群体的有效识别、供需匹配度和销售转换率低、持续创新定制能力差等问题，提出互动创新知识驱动的在线社群动态定制模型及其持续创新方法。首先，在辨识和处理互动创新知识和群聚客户基础上，构建出客户社群、客户需求属性组合、产品定制属性组合交互映射的在线社群互动创新知识网络空间；以此为支撑，研究具有共同属性组合产品的各相关社群实现精准定制的机理、交互过程及约束条件，建立在线社群动态定制模型；然后，提出监测客户社群动态变化的4C方法，进而研究定制产品偏好预测和客户社群有效维护方法，设计实现在线社群动态定制的持续创新方法，为在线定制企业持续发展提供保障；最后，以智能家居定制为例，对所提模型与方法进行验证。在线社群动态定制是社群经济和大规模定制的有机结合，可为定制企业在大数据时代实现供需两侧匹配、提升持续创新定制能力提供新思路和科学方法借鉴。

针对现有定制企业对社交网络下的互动知识挖掘研究中，未充分考虑目标客户群体的有效识别、供需匹配度和销售转换率低、持续创新定制能力差等问题，本项目围绕互动创新知识驱动的在线社群动态定制模型、持续创新方法与应用展开了系统研究。在在线社群动态定制建模方面，完成了对共有需求属性及客户群体的识别，构建了互动创新知识网络空间，探讨了在线社群互动知识对企业创新的影响；完成了在线社群定制流程路径、多目标决策模型及生产策略研究，建立了在线社群动态定制模型，为实现在线社群定制提供了路径；建立了在线社群用户持续参与、社群持续创新的理论模型，并基于互动创新知识构建了产品创新决策模型，为在线社群动态定制下实现持续创新提供了理论与技术支持。在应用方面，完成了在智能家居定制服务方面的仿真研究，对所提出来的理论与模型进行验证。研究成果丰富了大规模定制内涵，扩大了大规模定制应用范畴，对充实和完善大规模定制、技术创新与管理、市场营销的理论和方法体系等具有重要的理论意义，也为社群经济的发展提供了运营模式和有效方法，可使在线定制更加科学化和精确化，有助于有关的新理论、新方法的出现。