小微企业绩效影响的前因条件研究:基于模糊集定性比较方法  

Research on Antecedent Conditions of Small and Micro Businesses:Based on Fuzz Set Qualitative Comparative Analysis

作　　者：李玮玮 郑文清[1,2] Li Weiwei;Zheng wenqing(Nanjing University of Information Science&Technology Business School;Research Center for Propering Jiangsu Province with Talents Jiangsu Nanjing,210009)

机构地区：[1]南京信息工程大学商学院 [2]南京信息工程大学江苏人才强省建设决策咨询研究基地,江苏南京210044

出　　处：《江苏商论》2020年第6期119-121,124,共4页Jiangsu Commercial Forum

基　　金：高校哲学社会科学研究(2019SJA0161);江苏省社科应用研究精品工程课题(19SYB-148);江苏省人才强省建设研究基地2019开放课题。

摘　　要：小微企业是经济新动能培育的重要源泉,契合“大众创新、万众创业”的发展,也是推动我国经济转型升级的基石。如何提高小微企业的绩效一直是重要议题,但传统的定性方法因外部效度度低、定量方法因只是检测不同变量的相对贡献,难以给出具有洞察力的解释。本文借助关注于复杂架构关系的fsQCA(模糊集定性比较分析)方法,利用调查数据通过探索性研究小微企业绩效影响的前因条件组合,从整体的视角开展案例层面比较分析,挖掘普遍存在的复杂因果关系,得出一些有启发性意义的结论与启示,为管理层优化与提升小微企业绩效提供决策图谱。P Small and micro businesses are devoted to new growth driver,which cater to development trend of mass entrepreneurship and innovation and the cornerstone of economic transformation and ulopgrading.How to improve the performance of small and micro businesses has been constantly concerning,but low external validity of traditional qualitative approach and only relative contribution measurement of traditional quantitative approach,cannot give insightful explanations.Adopting fuzz set qualitative comparative analysis,this paper explores antecedent conditions of small and micor businesses with the survey data,expands comparative analysis of different cases,and identify ubiquitously complex causation.Finally,some enlightening conclusions are drawn and provide decision maps of optimization and updating for enterprise managers.

关 键 词：小微企业 fsQCA 前因条件 

分 类 号：F729.23[经济管理—产业经济]