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A hybrid decision support system with golden cut and bipolar q-ROFSs for evaluating the risk-based strategic priorities of fintech lending for clean energy projects

Author

Listed:
  • Qilong Wan

    (Huanghuai University)

  • Xiaodong Miao

    (University of Chinese Academy of Social Sciences)

  • Chenguang Wang

    (Lingnan University)

  • Hasan Dinçer

    (İstanbul Medipol University)

  • Serhat Yüksel

    (İstanbul Medipol University)

Abstract

In the last decade, the risk evaluation and the investment decision are among the most prominent issues of efficient project management. Especially, the innovative financial sources could have some specific risk appetite due to the increasing return of investment. Hence, it is important to uncover the risk factors of fintech investments and investigate the possible impacts with an integrated approach to the strategic priorities of fintech lending. Accordingly, this study aims to analyze a unique risk set and the strategic priorities of fintech lending for clean energy projects. The most important contributions to the literature can be listed as to construct an impact-direction map of risk-based strategic priorities for fintech lending in clean energy projects and to measure the possible influences by using a hybrid decision making system with golden cut and bipolar q-rung orthopair fuzzy sets. The extension of multi stepwise weight assessment ratio analysis (M-SWARA) is applied for weighting the risk factors of fintech lending. The extension of elimination and choice translating reality (ELECTRE) is employed for constructing and ranking the risk-based strategic priorities for clean energy projects. In this process, data is obtained with the evaluation of three different decision makers. The main superiority of the proposed model by comparing with the previous models in the literature is that significant improvements are made to the classical SWARA method so that a new technique is created with the name of M-SWARA. Hence, the causality analysis between the criteria can also be performed in this proposed model. The findings demonstrate that security is the most critical risk factor for fintech lending system. Moreover, volume is found as the most critical risk-based strategy for fintech lending. In this context, fintech companies need to take some precautions to effectively manage the security risk. For this purpose, the main risks to information technologies need to be clearly identified. Next, control steps should be put for these risks to be managed properly. Furthermore, it has been determined that the most appropriate strategy to increase the success of the fintech lending system is to increase the number of financiers integrated into the system. Within this framework, the platform should be secure and profitable to persuade financiers.

Suggested Citation

  • Qilong Wan & Xiaodong Miao & Chenguang Wang & Hasan Dinçer & Serhat Yüksel, 2023. "A hybrid decision support system with golden cut and bipolar q-ROFSs for evaluating the risk-based strategic priorities of fintech lending for clean energy projects," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    • Handle: RePEc:spr:fininn:v:9:y:2023:i:1:d:10.1186_s40854-022-00406-w
    DOI: 10.1186/s40854-022-00406-w
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    References listed on IDEAS

    as
    1. Thakor, Anjan V., 2020. "Fintech and banking: What do we know?," Journal of Financial Intermediation, Elsevier, vol. 41(C).
    2. Chao, Xiangrui & Ran, Qin & Chen, Jia & Li, Tie & Qian, Qian & Ergu, Daji, 2022. "Regulatory technology (Reg-Tech) in financial stability supervision: Taxonomy, key methods, applications and future directions," International Review of Financial Analysis, Elsevier, vol. 80(C).
    3. Paraskevi Katsiampa & Paul B. McGuinness & Jean-Philippe Serbera & Kun Zhao, 2022. "The financial and prudential performance of Chinese banks and Fintech lenders in the era of digitalization," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1451-1503, May.
    4. Sheng, Tianxiang, 2021. "The effect of fintech on banks’ credit provision to SMEs: Evidence from China," Finance Research Letters, Elsevier, vol. 39(C).
    5. Liu, Haomin & Zhang, Zaixu & Zhang, Tao, 2022. "Shale gas investment decision-making: Green and efficient development under market, technology and environment uncertainties," Applied Energy, Elsevier, vol. 306(PA).
    6. Luis Lorenzo & Javier Arroyo, 2022. "Analysis of the cryptocurrency market using different prototype-based clustering techniques," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-46, December.
    7. Fred Huibers, 2021. "Regulatory Response to the Rise of Fintech Credit in The Netherlands," JRFM, MDPI, vol. 14(8), pages 1-12, August.
    8. Hu, Jie & Liu, Di & Du, Changqing & Yan, Fuwu & Lv, Chen, 2020. "Intelligent energy management strategy of hybrid energy storage system for electric vehicle based on driving pattern recognition," Energy, Elsevier, vol. 198(C).
    9. Chaudhry, Sajid M. & Ahmed, Rizwan & Huynh, Toan Luu Duc & Benjasak, Chonlakan, 2022. "Tail risk and systemic risk of finance and technology (FinTech) firms," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    10. Yuta Miyauchi, 2021. "New Risks from Fintech (1) Cyber Security," Springer Books, in: Sahoko Kaji & Teruo Nakatsuma & Masahiro Fukuhara (ed.), The Economics of Fintech, chapter 0, pages 189-198, Springer.
    11. Benlu Hai & Ximing Yin & Jie Xiong & Jin Chen, 2022. "Could more innovation output bring better financial performance? The role of financial constraints," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
    12. Zhao, Jinsong & Li, Xinghao & Yu, Chin-Hsien & Chen, Shi & Lee, Chi-Chuan, 2022. "Riding the FinTech innovation wave: FinTech, patents and bank performance," Journal of International Money and Finance, Elsevier, vol. 122(C).
    13. Yoonyoung Hwang & Sangwook Park & Nina Shin, 2021. "Sustainable Development of a Mobile Payment Security Environment Using Fintech Solutions," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    14. Banna, Hasanul & Kabir Hassan, M. & Rashid, Mamunur, 2021. "Fintech-based financial inclusion and bank risk-taking: Evidence from OIC countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    15. Muhammad Akram & Maham Arshad, 2019. "A Novel Trapezoidal Bipolar Fuzzy TOPSIS Method for Group Decision-Making," Group Decision and Negotiation, Springer, vol. 28(3), pages 565-584, June.
    16. Cephas Paa Kwasi Coffie & Zhao Hongjiang & Isaac Adjei Mensah & Rebecca Kiconco & Abraham Emuron Otim Simon, 2021. "Determinants of FinTech payment services diffusion by SMEs in Sub-Saharan Africa: evidence from Ghana," Information Technology for Development, Taylor & Francis Journals, vol. 27(3), pages 539-560, July.
    17. Sevgi Coşkun & Oyakhilome Ibhagui, 2022. "Technology shocks and covered interest parity deviations in emerging market economies," Empirical Economics, Springer, vol. 63(3), pages 1337-1374, September.
    18. Hasanul Banna & Md Rabiul Alam, 2021. "Does Digital Financial Inclusion Matter For Bank Risk-Taking? Evidence From The Dual-Banking System," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, vol. 7(2), pages 401-430, May.
    19. Paramati, Sudharshan Reddy & Shahzad, Umer & Doğan, Buhari, 2022. "The role of environmental technology for energy demand and energy efficiency: Evidence from OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
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    Cited by:

    1. Gang Kou & Hasan Dinçer & Serhat Yüksel, 2024. "Pattern recognition of financial innovation life cycle for renewable energy investments with integer code series and multiple technology S-curves based on Q-ROF DEMATEL," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-22, December.
    2. Serhat Yüksel & Hasan Dinçer & Duygu Yavuz, 2023. "Determination of Priority Factors for the Development of Green Banking Practices in Turkey with the Fuzzy DEMATEL Method," Journal of Sustainable Development Issues (JOSDI), SDIjournals, vol. 1(1), pages 23-41, December.
    3. Asma S. Alzwi & Jamil J. Jaber & Hani Nuri Rohuma & Rania Al Omari, 2024. "Evaluation of Total Risk-Weighted Assets in Islamic Banking through Fintech Innovations," JRFM, MDPI, vol. 17(7), pages 1-23, July.
    4. Chicheng Huang & Serhat Yüksel & Hasan Dinçer, 2025. "A Novel Fuzzy Model for Knowledge-Driven Process Optimization in Renewable Energy Projects," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 5183-5215, March.

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