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Fuzzy analytic hierarchy process applied to technology credit scorecard considering entrepreneurs' psychological and behavioral attributes

机译:考虑企业家心理和行为属性的模糊信用层次分析法应用于技术信用评分卡

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摘要

As an innovative financing scheme for small and medium enterprises, credit guarantee is given for the loan of firms based on their technologies. To screen the applicant-firms, typical technology credit scoring models consider technology-related factors such as level of technology, profitability, and marketability of technology along with management characteristics, firm characteristics, and economic factors. However, psychological and behavioral attributes of entrepreneurs of the applicant-firms have received comparatively less attention, though an entrepreneur' personal traits are likely to significantly affect the management in a small and medium enterprise. In this paper, we propose a technology credit scorecard that additionally accommodates applicant's intelligence, personality, integrity, verbal communication, and non-verbal behaviors. Fuzzy analytic hierarchy process allows to determine the relative importance of these attributes. The proposed scorecard is expected to decrease the risk involved in technology credit funding.
机译:作为针对中小企业的创新融资计划,基于企业技术为企业的贷款提供信用担保。为了筛选申请人公司,典型的技术信用评分模型会考虑与技术相关的因素,例如技术水平,盈利能力和技术的可销售性,以及管理特征,公司特征和经济因素。然而,尽管企业家的个人特征很可能会显着影响中小型企业的管理,但申请人公司企业家的心理和行为属性受到的关注相对较少。在本文中,我们提出了一种技术信用计分卡,该卡还可以容纳申请人的智力,个性,正直,言语交流和非言语行为。模糊层次分析法可以确定这些属性的相对重要性。拟议的计分卡有望减少涉及技术信贷资金的风险。

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