摘要
文章运用了层次分析法、熵值法、回归预测法对共享单车行业企业核心竞争力进行了评价,并对共享单车产业未来的发展趋势做出预测。首先,通过文献研究和AHP法确定共享单车企业核心竞争力的具体指标,然后根据层次分析法和熵值法进行组合赋权确定每个指标的权重,再根据各大共享单车企业的各项指标得分,得出各大共享单车企业的核心竞争力指数。其次,将核心竞争力指数与市场占有率进行回归分析,建立市场占有率的预测模型,对共享单车未来的市场格局做出预测。最终,得出在摩拜、OFO、Hellobike、小鸣单车、小蓝单车五大共享单车企业中,摩拜单车的核心竞争力最大,预期未来共享单车行业将形成OFO和摩拜的"两极格局"。
In this paper,analytic hierarchy process,entropy method and regression prediction method are used to evaluate the core competitiveness of the sharing bicycle industry enterprises,and make a prediction of the future development trend of the sharing bicycle industry.First,studying many literatures and determining the specific indicators of the core competitiveness of the bicycle enterprises,then using the portfolio of the analytic hierarchy process and the entropy method to determine the weight of each indicator,and then,according to scores of the various indicators of the sharing bicycle enterprises,the core competitiveness index of each of the major sharing bicycle enterprises has been established.Secondly,the core competitiveness index and market share are regression analyzed,and the prediction model of market share is established to predict the future market pattern of the sharing bicycle.Lastly,it is conclude that at the top of the five sharing cycling enterprises of mobike,ofo,hellobike,xiaomingbike,and blue gogo,mobike is the most competitive,and this industry is expected to form ofo and mobike“bipolar structure”.
作者
刘阳
LIU Yang(School of Accounting,Jiangxi University of Finance and Economics,Nanchang,Jiangxi 330013,China)
出处
《金融教育研究》
2018年第4期14-22,共9页
Research of Finance and Education
基金
国家自然科学基金"证券分析师托市行为
投资者反应与上市公司融资策略"(71262005)
江西省2017年度研究生创新专项资金项目"员工持股计划与代理成本"(YC2017-S206)
关键词
共享单车
层次分析法
熵值法
核心竞争力
sharing bicycles
analytic hierarchy process
entropy value method
core competitiveness
