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A Unified Framework for Credit Evaluation for Internet Finance Companies: Multi-Criteria Analysis Through AHP and DEA

Author

Listed:
  • Wei Gu

    (Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, P. R. China)

  • Meheli Basu

    (Joseph M. Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA-15232, USA)

  • Zhang Chao

    (School of Finance, Zhejiang University of Finance and Economics, Hangzhou 310018, P. R. China)

  • Lirong Wei

    (Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, P. R. China)

Abstract

Internet finance is China’s newest hot topic in its booming economy. Success story of entrepreneurial ventures such as Alibaba have paved way for numerous entrepreneurs to establish innovative start-ups and enterprises. Presently, number of up and coming small and medium enterprises (SMEs) is above 80% of all new enterprises in China, involving 39 major categories of industrial sectors. Such enterprises are hugely backed by Internet finance companies for funding and easy transactions. It is important to develop efficient methodology and improve existing ones for credit assessment so as to aid Internet finance companies in making effective and symmetric funding decisions. To evaluate the performance of SMEs effectively, we propose an Internet finance credit index system, which includes financial, credit, enterprise development and Internet financial status. We combine the Analytic Hierarchy Process (AHP) and data envelopment analysis (DEA) to form a unified evaluation framework, which has the ability to address the subjective (AHP) and the objective (DEA) concerns, respectively. The proposed framework can assist Internet finance organizations to develop a transparent, unbiased and integrated framework for evaluating credit index of SMEs and start-ups. The result of our framework identifies the most important characteristics of SMEs and start-ups which contribute to overall credit rating, provides valuable references for Internet financial organization to make better resource allocation (funding decisions). The framework for credit evaluation also provides start-ups and SMEs an insight into improving their credit rating.

Suggested Citation

  • Wei Gu & Meheli Basu & Zhang Chao & Lirong Wei, 2017. "A Unified Framework for Credit Evaluation for Internet Finance Companies: Multi-Criteria Analysis Through AHP and DEA," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 597-624, May.
  • Handle: RePEc:wsi:ijitdm:v:16:y:2017:i:03:n:s0219622017500134
    DOI: 10.1142/S0219622017500134
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    References listed on IDEAS

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    Cited by:

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    2. Marco Locurcio & Francesco Tajani & Pierluigi Morano & Debora Anelli & Benedetto Manganelli, 2021. "Credit Risk Management of Property Investments through Multi-Criteria Indicators," Risks, MDPI, vol. 9(6), pages 1-23, June.
    3. Zhang, Hao & Shi, Yuxin & Yang, Xueran & Zhou, Ruiling, 2021. "A firefly algorithm modified support vector machine for the credit risk assessment of supply chain finance," Research in International Business and Finance, Elsevier, vol. 58(C).
    4. Zhang, Lifeng & Chao, Xiangrui & Qian, Qian & Jing, Fuying, 2022. "Credit evaluation solutions for social groups with poor services in financial inclusion: A technical forecasting method," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    5. Ao Yu & Zhuoqiang Jia & Weike Zhang & Ke Deng & Francisco Herrera, 2020. "A Dynamic Credit Index System for TSMEs in China Using the Delphi and Analytic Hierarchy Process (AHP) Methods," Sustainability, MDPI, vol. 12(5), pages 1-21, February.

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