Operations Research and Management Science ›› 2021, Vol. 30 ›› Issue (2): 184-190.DOI: 10.12005/orms.2021.0059

• Application Research • Previous Articles     Next Articles

Establishment of Growth Evaluation System for Technology-based SMEs Based on Fuzzy ANP and TOPSIS

TIAN Lin, ZHANG Lu-lu   

  1. Business School, Zhengzhou University, Zhengzhou 450001, China
  • Received:2019-11-08 Online:2021-02-25

基于模糊ANP和TOPSIS法的科技型中小企业成长性评价体系构建

田霖, 张露露   

  1. 郑州大学 商学院,河南 郑州 450001
  • 作者简介:田霖(1977-),女,河南郑州人,教授,博士,郑州大学尤努斯社会企业中心研究员,研究方向为区域金融、金融地理等;张露露(1996-),女,河南郑州人,硕士研究生,研究方向为区域经济学、金融学。
  • 基金资助:
    国家社会科学基金资助项目(20BJY117)

Abstract: The development of Unicorn enterprises has become an important factor to measure regional innovation ability. In order to establish a complete Unicorn cultivation mechanism from seed enterprises' selection, incubation, acceleration of development and eventual successful landing, it is urgent to build a comprehensive, objective and scientific growth evaluation model for small and medium-sized enterprises(SMEs). Based on this, the study is carried out in three steps. Firstly, 45 relevant factors are identified and classified into 10 main factors. Secondly, the overall priority of these factors is ranked by using fuzzy network analysis(FANP)to determine the key factors affecting growth. Finally, a weighted factor-based fuzzy TOPSIS method is proposed to evaluate small and medium-sized technology-based enterprises. The research shows that external factors are more important to the development and growth of the enterprises under study. The results indicate that policy regulations, technological factors and entrepreneurship characteristics are identified as key factors. This study can not only provide effective guidance for enterprise managers to formulate appropriate development strategies and improve enterprise performance, but also provide valuable reference for the selection and cultivation of technology-based SMEs.

Key words: technological SMEs, FANP, TOPSIS, Unicorn

摘要: 当今独角兽企业的发展已成为衡量区域创新能力的重要考察因素,为建立从种子企业的选择、孵化、加速发展、最终成功落地的完备的独角兽培育机制,亟待构建全面、客观、科学的中小企业成长性评价模型。基于此,研究主要分三个步骤进行,首先确定45个相关影响因素,将其归类划分为10个主要因素;其次,采用模糊网络分析法(FANP)对这些因素的整体优先级进行排序,确定影响成长性的关键因素;最后提出基于加权因素的模糊TOPSIS法对科技型中小企业进行评价。研究表明,外部因素对被研究企业的发展与成长更为重要。“政策条例”、“技术因素”和“企业家的特点”被确定为关键影响因素。本文的研究不仅可为企业管理者制定恰当的发展战略,为提高企业绩效提供有效指导,同时也为科技型中小企业的遴选与培育提供有价值的参考。

关键词: 科技型中小企业, 模糊网络分析法, TOPSIS, 独角兽

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