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Digitalisation promotes adoption of soft information in SME credit evaluation: the case of Indian banks
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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121231/ https://www.ncbi.nlm.nih.gov/pubmed/37362067 http://dx.doi.org/10.1007/s42521-023-00078-w |
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author | Hardik, Nimbark |
author_facet | Hardik, Nimbark |
author_sort | Hardik, Nimbark |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10121231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-101212312023-04-24 Digitalisation promotes adoption of soft information in SME credit evaluation: the case of Indian banks Hardik, Nimbark Digit Finance Original Article 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. Springer International Publishing 2023-04-21 /pmc/articles/PMC10121231/ /pubmed/37362067 http://dx.doi.org/10.1007/s42521-023-00078-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Hardik, Nimbark Digitalisation promotes adoption of soft information in SME credit evaluation: the case of Indian banks |
title | Digitalisation promotes adoption of soft information in SME credit evaluation: the case of Indian banks |
title_full | Digitalisation promotes adoption of soft information in SME credit evaluation: the case of Indian banks |
title_fullStr | Digitalisation promotes adoption of soft information in SME credit evaluation: the case of Indian banks |
title_full_unstemmed | Digitalisation promotes adoption of soft information in SME credit evaluation: the case of Indian banks |
title_short | Digitalisation promotes adoption of soft information in SME credit evaluation: the case of Indian banks |
title_sort | digitalisation promotes adoption of soft information in sme credit evaluation: the case of indian banks |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121231/ https://www.ncbi.nlm.nih.gov/pubmed/37362067 http://dx.doi.org/10.1007/s42521-023-00078-w |
work_keys_str_mv | AT hardiknimbark digitalisationpromotesadoptionofsoftinformationinsmecreditevaluationthecaseofindianbanks |