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初生期创业企业商业模式预评价指标体系构建研究
引用本文:王雪冬,田明昊,匡海波.初生期创业企业商业模式预评价指标体系构建研究[J].科研管理,2018,39(9):159-168.
作者姓名:王雪冬  田明昊  匡海波
作者单位:1.大连海事大学综合交通运输协同创新中心 航运经济与管理学院,辽宁 大连116026; 2.中国大连高级经理学院,辽宁 大连116086
基金项目:国家自然科学基金:“商业模式创新中顾客价值发现过程及其影响因素研究”(71272094);国家自然科学基金:“自贸区港口生态圈演化、平衡及评价机制研究”(71672016);中国博士后基金:“互联网+背景下国有企业数字化商业模式创新的实现机理”(2018M631827);长江学者和创新团队发展计划资助:“港口协同发展与绿色增长”(IRT_17R13);“辽宁省高等教育内涵发展专项资金”(协同创新中心)(20110117303);辽宁省教育科学规划基金:“案例教学模式在“广谱式”大学生创新创业教育中的应用研究”(JG18DB059);大连市社科联基金:““一带一路”建设与大连市港航物流产业发展模式创新研究”(2017dlskzd035)。
摘    要:鉴于当前初创企业商业模式预评价的理论和实践难题,本研究综合运用R-聚类和变异系数分析等多种定性和定量研究方法,建立了定量的、层次化的初创企业商业模式预评价指标体系。该指标体系共包括目标层、准则层和指标层等三个层次,以商业模式竞争力为目标层,以创新度、成长度、效率度、稳定度、盈利度、区隔度、包容度等为准则层,并包括新颖性、差异化程度等29个指标层衡量指标。本研究丰富了商业模式预评价研究,在当前多样化、分散的商业模式预评价研究中建立起了初步的沟通桥梁,为初创企业在诸多商业模式潜在预案中做出抉择提供了可操作的评价指标体系依据,有助于商业模式理论研究和实践探索的深入。

关 键 词:初创企业    商业模式    评价指标体系  R聚类    变异系数  专家经验  
收稿时间:2018-05-20
修稿时间:2018-07-03

A research on the construction of pre-evaluation indicator system of business models for start-up enterprises in the initial period
Wang Xuedong,Tian Minghao,Kuang Haibo.A research on the construction of pre-evaluation indicator system of business models for start-up enterprises in the initial period[J].Science Research Management,2018,39(9):159-168.
Authors:Wang Xuedong  Tian Minghao  Kuang Haibo
Institution:1. Collaborative Innovation Center for Transport Studies, School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, Liaoning, China; 2. China Business Executives Academy, Dalian 116086, Liaoning, China
Abstract:Considering the current theoretical and practical difficulties in the pre-evaluation of business models for start-up companies, this study employed qualitative and quantitative research methodology such as R-clustering and coefficient of variation analysis to establish quantitative and hierarchical business model pre-evaluation indicators for start-ups. The index system includes three levels: target level, criterion level, and indicator level. Target level contains competitiveness index. criterion level is consisted by the index of innovation, growth, efficency, stability, profitability, division, and tolerance. Indicator level includes 29 indicators such as novelty and degree of differentiation. This study enriched the pre-evaluation research of business model and established a preliminary communication bridge in the current diversified and decentralized pre-evaluation research of business models, providing operable evaluation for start-ups to make choices among potential business plans. The index system is helpful to the deepening of the theoretical research and practical exploration of the business model.
Keywords:start-up enterprises  business model  evaluation indicator system  R-clustering  variation coefficient  experts’experience
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