社会网络、先前经验与创业风险识别

发布时间：2018-06-22 15:46

本文选题：风险识别 + 社会网络　；参考：《管理科学学报》2017年05期

【摘要】：无法识别创业风险是导致创业失败的主要原因之一,如何有效识别并管理创业风险是新创企业健康成长的关键.社会网络能够弥补创业者在识别风险过程中的信息劣势,但既有研究极少探索社会网络是否以及如何影响创业风险识别.为弥补这个研究空白,文章利用信息处理理论为研究框架,构建了创业风险识别模型.具体而言,结构洞和网络强度有利于创业者获取更多、高质量与风险相关的信息,进而识别更多的创业风险;获取信息的数量在网络强度与创业风险识别关系之间发挥完全中介作用;创业者的先前经验正向影响创业风险识别,并对结构洞与获取信息的数量之间关系起调节作用.文章讨论了研究结果的理论贡献与实践启发.
[Abstract]:How to identify and manage the venture risk effectively is the key to the healthy growth of the new venture. Social networks can make up for the information disadvantage of entrepreneurs in the process of identifying risks, but there are few studies to explore whether and how social networks affect entrepreneurial risk identification. In order to make up for this research gap, this paper uses information processing theory as the research framework, and constructs a model of entrepreneurial risk identification. Specifically, the structure hole and network strength can help entrepreneurs to obtain more, high-quality risk-related information, and then identify more entrepreneurial risks; The amount of information obtained plays a complete intermediary role between network strength and entrepreneurial risk identification; the previous experience of entrepreneurs positively affects entrepreneurial risk identification and regulates the relationship between the structure hole and the amount of information obtained. This paper discusses the theoretical contribution and practical inspiration of the research results.
【作者单位】：浙江理工大学经济管理学院;上海大学管理学院;上海大学创新创业研究中心;伦敦大学皇家霍洛威学院管理学院;
【基金】：国家自然科学基金资助项目(71272211;71472119) 上海市教育委员会曙光计划资助项目(14SG38) 上海市哲学社会科学“十二五”一般课题资助项目(2014BGL013) 上海市浦江人才计划资助项目(15PJC053) 国家留学基金资助项目(201606890019)
【分类号】：F279.2

【相似文献】