| 摘要: |
| 机会识别是影响企业家创业及企业经营绩效的一个重要因素,有关机会识别问题研究是学术界一个重要研究领域。通过检索筛选出1996—2018年发表的有关机会识别研究的93篇重要外文论文,采用知识图谱方法对发文分布、学者个人贡献、研究主题、高频 |
| 关键词: 先验知识 先前经验 关系网络 机会识别 |
| DOI：10.13216/j.cnki.upcjess.2020.03.0007 |
| 分类号:F203 |
| 基金项目:教育部哲学社会科学研究重大课题攻关项目(17JZD020) |
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| Review of Enterprise Opportunity Identification |
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YIN Jianfeng1,2
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(1.Business College, Guizhou Minzu University, Guiyang, Guizhou 550025, China;2.Business Administration College, South China University of Technology, Guangzhou, Guangdong 510640, China)
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| Abstract: |
| Opportunity identification is an important factor affecting entrepreneurship and business performance. Therefore, the issue of opportunity identification has become an important research field in academia. In this paper, 93 important foreign papers on opportunity identification published from 1996 to 2018 are retrieved and screened, and the publications and individual contributions of scholars,the research topics and keyword co-occurrence of the literature are visually analyzed by knowledge map method. On this basis, combined with the relevant domestic and abroad literatures, the content of opportunity identification literature is analyzed to summarize the concept, dimension, measurement method of opportunity identification, and the general situation of the research on the causes and consequences of opportunity identification. In addition, with the rise of the wave of enterprise internationalization, the issue of international opportunity identification, as the primary link of enterprise internationalization, has become a new hot research direction in the field of opportunity identification, and the relevant literature is very scarce. Therefore, this paper appeals to scholars to strengthen the relevant research in the field of international opportunity identification and puts forward the future research directions of international opportunity identification,that is, to study the relationship and mechanism of prior knowledge and previous experience to international opportunity identification. |
| Key words: priori knowledge previous experience relational network opportunity identification |
