Construction of knowledge network of O2O e-business based on innovation ability-fitness
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摘要:
为提升O2O电商企业对知识创新领域的准确判断，增加企业的创新竞争力，提出了一种基于创新力-适应度的O2O电商知识网络构建方法。在对O2O电商企业知识节点创新力影响因素分析并赋权重的基础上，利用适应度算法确定知识节点创新力-适应度，构建了符合O2O电商企业特点的创新力-适应度知识网络模型。通过五级分值评分方法和UCINET等可视化软件对苏宁云商的创新力-适应度知识网络进行了构建，实验表明创新力能力强的知识节点则具有连接效率高、表示形状相对大的特征。为苏宁云商创新力-适应度知识网络提供了应对策略。
Abstract:A method for constructing knowledge networks based on the fitness of node's innovation ability is proposed for O2O e-business enterprises to make accurate judgment on the knowledge innovation field and improve the innovation competitiveness. This paper, based on the analysis on influence factors of knowledge node's innovation ability of O2O e-business enterprise and their weight assignment, the fitness algorithm is used to determine the fitness of knowledge node's innovation ability, and the innovation ability fitness knowledge network model suitable for the O2O e-business enterprise characteristics is established. Combining five-grade scoring method and UCINET visualization software, this paper constructs the knowledge network of Suning cloud business based on the fitness of innovation ability. The experiment shows that the knowledge node with strong innovation ability are characterized by high connectivity and relatively large shape. And finally, a coping strategy to the innovation ability fitness knowledge network of Suning cloud besiness is put forword.
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Key words:
- O2O e-business /
- knowledge network /
- node's innovation ability /
- fitness /
- network construction
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图 2 苏宁云商创新力-适应度知识网络
Figure 2. Innovation ability-fitness knowledge network for Suning cloud business
图 3 知识节点创新力评分分布图
Figure 3. Score distribution map of knowledge node's innovation ability
表 1 知识节点创新力评分-价格管理
Table 1. Knowledge node's innovation ability scoring-price management
因素 等级(分值) 很低
(1分)较低
(3分)一般
(5分)较高
(7分)很高
(9分)知识信任 √ 知识认知 √ 创新能力 √ 价值取向 √ 融合程度 √ 
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