Journal of Enterprise Information Management ( IF 7.4 ) Pub Date : 2024-01-02 , DOI: 10.1108/jeim-01-2023-0032 Yi-Hsin Lin , Ruixue Zheng , Fan Wu , Ningshuang Zeng , Jiajia Li , Xingyu Tao
Purpose
This study aimed to improve the financing credit evaluation for small and medium-sized real estate enterprises (SMREEs). A financing credit evaluation model was proposed, and a blockchain-driven financing credit evaluation framework was designed to improve the transparency, credibility and applicability of the financing credit evaluation process.
Design/methodology/approach
The design science research methodology was adopted to identify the main steps in constructing the financing credit model and blockchain-driven framework. The fuzzy analytic hierarchy process (FAHP)–entropy weighting method (EWM)–set pair analysis (SPA) method was used to design a financing credit evaluation model. Moreover, the proposed framework was validated using data acquired from actual cases.
Findings
The results indicate that: (1) the proposed blockchain-driven financing credit evaluation framework can effectively realize a transparent evaluation process compared to the traditional financing credit evaluation system. (2) The proposed model has high effectiveness and can achieve efficient credit ranking, reflect SMREEs' credit status and help improve credit rating.
Originality/value
This study proposes a financing credit evaluation model of SMREEs based on the FAHP–EWM–SPA method. All credit rating data and evaluation process data are immediately stored in the proposed blockchain framework, and the immutable and traceable nature of blockchain enhances trust between nodes, improving the reliability of the financing credit evaluation process and results. In addition, this study partially fulfills the lack of investigations on blockchain adoption for SMREEs' financing credit.
中文翻译:
区块链驱动的中小型房地产企业融资信贷框架
目的
本研究旨在完善中小型房地产企业(SMREE)的融资信用评估。提出融资信用评估模型,设计区块链驱动的融资信用评估框架,提高融资信用评估流程的透明度、可信度和适用性。
设计/方法论/途径
采用设计科学研究方法来确定构建融资信用模型和区块链驱动框架的主要步骤。采用模糊层次分析法(FAHP)-熵权法(EWM)-集对分析(SPA)方法设计融资信用评价模型。此外,所提出的框架使用从实际案例中获得的数据进行了验证。
发现
结果表明:(1)与传统融资信用评估系统相比,所提出的区块链驱动的融资信用评估框架可以有效实现透明的评估过程。(2)所提出的模型有效性较高,能够实现高效的信用评级,反映SMREE的信用状况,有利于提高信用评级。
原创性/价值
本研究提出了一种基于FAHP-EWM-SPA方法的小型稀土企业融资信用评价模型。所有信用评级数据和评估过程数据都立即存储在所提出的区块链框架中,区块链的不可变性和可追溯性增强了节点之间的信任,提高了融资信用评估过程和结果的可靠性。此外,本研究部分弥补了对SMREE融资信贷采用区块链的调查的缺乏。