摘要
[目的/意义]通过对现有研究成果的梳理和总结,全方位描述和揭示创新扩散领域的研究现状和发展趋势,为该领域今后的研究和发展提供方向和参考。[方法/过程]以Web of Science核心集数据库中创新扩散相关文献作为样本数据,应用CiteSpaceⅢ软件进行知识图谱分析,得出时空分布、重点国家网络、文献共被引和关键词共被引等知识图谱,进而分析创新扩散领域的分布情况、发展趋势和热点领域。[结果/讨论]研究发现:中国和美国在创新扩散研究领域处于领先地位;早期的研究主要侧重于从宏观层面采用Bass模型及其扩展模型对新产品销量进行预测,当前的研究多集中于从微观层面采用模拟仿真方法来分析创新扩散的演化行为;创新扩散研究的热点领域主要包括创新技术的接受与采纳、创新扩散的影响因素、创新扩散动力、创新扩散模型及仿真研究。
CiteSpace Ⅲ was used to do the knowledge map analysis to all the innovation diffusion research literature collected in the Web of Science core set database,it was concluded that time and space distribution,key national network,co-cited reference and co-word knowledge maps,such as in the field of innovation diffusion is analyzed on the distribution,change trends and hop topics. The study results showed that: China and the USA were leading in the field of innovation diffusion research; earlier studies mainly focused on the macro level to forecast the new product sales by using the Bass model and its extended model,the current research had focused on from micro level to analyze the evolution of the innovation diffusion behavior by simulation method; the hot topics of innovation diffusion research mainly included the acceptance and adoption of innovative technology,the influencing factors of innovation diffusion,innovation diffusion power,innovation diffusion model and simulation study.
作者
孙冰
毛鸿影
康敏
Sun Bing;Mao Hongying;Kang Min(School of Economics and Management, Harbin Engineering University, Harbin 150001, China)
出处
《现代情报》
CSSCI
2018年第6期144-156,共13页
Journal of Modern Information
基金
国家自然科学基金项目"制造业企业创新生态系统的创新扩散及其演化机理研究"(项目编号:71372020)
国家自然科学基金项目"基于MLP的知识密集型产业主导技术的形成机理及促进政策研究"(项目编号:71774035)