社会网络、 先前经验与创业风险识别

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.

Social network,prior experience,and entrepreneurial risk recognition

Failing to recognize entrepreneurial risks may lead to entrepreneurial failure.Social networks can be useful to entrepreneurs when mitigating such risks by helping them to overcome information liability, but few existing studies explore whether and how social networks affect entrepreneurial risk recognition.To fill this gap, a model of entrepreneurial risk recognition is built based on information processing theory.The results indicate that structural holes and network strength can help entrepreneurs acquire more and higher quality information to recognize more entrepreneurial risks.The quantity of the information acquired completely mediates the relationship between network strength and entrepreneurial risk recognition.Moreover, prior experience has a positive effect on entrepreneurial risk recognition, and moderates the relationship between structural holes and the quantity of information acquired.The theoretical and managerial implications are also discussed.