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Digitalisation promotes adoption of soft information in SME credit evaluation: the case of Indian banks

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  • Nimbark Hardik

    (Université Côte D’azur, Institut d’Administration des Entreprises)

Abstract

Small and Medium Enterprises (SMEs) account for half of the employment in developing economies and are a significant part of their economic growth. In spite of this, SMEs are under-financed by banks, which have been disrupted by financial technology (fintech) firms. This qualitative multi-case study examines how Indian banks are utilising digitalisation, soft information, and Big data to improve SME financing. The participants shared their insights on the way banks adopt digital tools, sources of soft information (e.g., customer and supplier relationships, business plans), and factors that influence the implementation of Big data in the SME credit evaluation process. The major themes include: banks are improving SME financing operations through digitalisation, and IT tools can verify SME soft information. Soft information attributes that emerge from addressing SME information opacity include supplier relationships, customer relationships, business plans, and managerial successions. For SME credit managers, developing partnerships to access publicly available soft information created by industry associations and "online B2B trade platforms" is a high-priority recommendation. To enhance the efficiency of SME financing, banks should obtain the consent of SMEs before they access their private hard information through trade platforms.

Suggested Citation

  • Nimbark Hardik, 2024. "Digitalisation promotes adoption of soft information in SME credit evaluation: the case of Indian banks," Digital Finance, Springer, vol. 6(1), pages 23-54, March.
    • Handle: RePEc:spr:digfin:v:6:y:2024:i:1:d:10.1007_s42521-023-00078-w
    DOI: 10.1007/s42521-023-00078-w
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    1. de la Torre, Augusto & Martínez Pería, María Soledad & Schmukler, Sergio L., 2010. "Bank involvement with SMEs: Beyond relationship lending," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2280-2293, September.
    2. Jalal Akhavein & W. Scott Frame & Lawrence J. White, 2005. "The Diffusion of Financial Innovations: An Examination of the Adoption of Small Business Credit Scoring by Large Banking Organizations," The Journal of Business, University of Chicago Press, vol. 78(2), pages 577-596, March.
    3. Berger, Allen N. & Udell, Gregory F., 2006. "A more complete conceptual framework for SME finance," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 2945-2966, November.
    4. Beck, Thorsten & Chen, Tao & Lin, Chen & Song, Frank M., 2016. "Financial innovation: The bright and the dark sides," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 28-51.
    5. Douglas W. Diamond, 1984. "Financial Intermediation and Delegated Monitoring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(3), pages 393-414.
    6. Mitchell A. Petersen & Raghuram G. Rajan, 2002. "Does Distance Still Matter? The Information Revolution in Small Business Lending," Journal of Finance, American Finance Association, vol. 57(6), pages 2533-2570, December.
    7. Sumit Agarwal, 2010. "Distance and Private Information in Lending," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2757-2788, July.
    8. Berger, Allen N. & Black, Lamont K., 2011. "Bank size, lending technologies, and small business finance," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 724-735, March.
    9. Allen N. Berger & W. Scott Frame, 2007. "Small Business Credit Scoring and Credit Availability," Journal of Small Business Management, Taylor & Francis Journals, vol. 45(1), pages 5-22, January.
    10. Masazumi Hattori & Kohei Shintani & Hirofumi Uchida, 2015. "The Repository of Soft Information within Bank Organizations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(4), pages 737-770, June.
    11. Godbillon-Camus, Brigitte & Godlewski, Christophe, 2005. "Credit risk management in banks: Hard information, soft Information and manipulation," MPRA Paper 1873, University Library of Munich, Germany.
    12. Froot, Kenneth A. & Stein, Jeremy C., 1998. "Risk management, capital budgeting, and capital structure policy for financial institutions: an integrated approach," Journal of Financial Economics, Elsevier, vol. 47(1), pages 55-82, January.
    13. Yehning Chen & Rachel Huang & John Tsai & Larry Tzeng, 2015. "Soft Information and Small Business Lending," Journal of Financial Services Research, Springer;Western Finance Association, vol. 47(1), pages 115-133, February.
    14. Jeremy C. Stein, 2002. "Information Production and Capital Allocation: Decentralized versus Hierarchical Firms," Journal of Finance, American Finance Association, vol. 57(5), pages 1891-1921, October.
    15. Satu Elo & Maria Kääriäinen & Outi Kanste & Tarja Pölkki & Kati Utriainen & Helvi Kyngäs, 2014. "Qualitative Content Analysis," SAGE Open, , vol. 4(1), pages 21582440145, February.
    16. Belinda L. Del Gaudio & Mark D. Griffiths & Gabriele Sampagnaro, 2020. "Soft Information Production In Sme Lending," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(1), pages 121-151, March.
    17. Hans-Gerd Ridder, 2017. "The theory contribution of case study research designs," Business Research, Springer;German Academic Association for Business Research, vol. 10(2), pages 281-305, October.
    18. Tadanori Yosano & Takayoshi Nakaoka, 2019. "Utilization of Soft Information on Bank Performance," SpringerBriefs in Economics, Springer, number 978-981-13-8472-1, June.
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    More about this item

    Keywords

    Big data; Credit evaluation process; Digitalisation; Organisational adoption; SME financing; Soft information;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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