Joyce Chepkoech Getugi, C. Osoro, Allan S. N. Kihara
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The study targeted population of Seventeen Kenyan commercial banks from the first and second tiers. The analysis relied on secondary sources of information. The gathered quantitative data was analyzed using both descriptive and inferential statistics. Numbers, medians, and standard deviations were used to characterize the data, and frequency distributions were used to determine the sample size. Models for analyzing correlations and regressions are inferential statistics. STATA was used for the data analysis. \nFindings: The study established that digital lending has a positive and significant effect on technical efficiency of commercial banks in Kenya. \nUnique contributions to theory, practice and policy: The results suggests that conventional banks might benefit from forming partnerships with FinTech firms that specialize in digital lending.","PeriodicalId":47461,"journal":{"name":"International Journal of Finance & Economics","volume":"60 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital Lending and Technical Efficiency of Commercial Banks in Kenya\",\"authors\":\"Joyce Chepkoech Getugi, C. Osoro, Allan S. N. 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Digital Lending and Technical Efficiency of Commercial Banks in Kenya
Purpose: The financial sector is being revolutionized as a direct result of technological progress, with banks and other financial institutions embracing new technologies to better serve their customers online. Technological developments in the financial sector are simplifying access to financial services. The study set out to dissect the effects of Fintech on Kenya's commercial banking sector. The general objective was to establish the effect of digital lending on technical efficiency of commercial banks in Kenya. The study was anchored on Theory of Financial Intermediation.
Methodology: The entire study relied on collecting empirical data and evaluating hypothesis in a positivist way. A causal-comparative research design was used in this research. The study targeted population of Seventeen Kenyan commercial banks from the first and second tiers. The analysis relied on secondary sources of information. The gathered quantitative data was analyzed using both descriptive and inferential statistics. Numbers, medians, and standard deviations were used to characterize the data, and frequency distributions were used to determine the sample size. Models for analyzing correlations and regressions are inferential statistics. STATA was used for the data analysis.
Findings: The study established that digital lending has a positive and significant effect on technical efficiency of commercial banks in Kenya.
Unique contributions to theory, practice and policy: The results suggests that conventional banks might benefit from forming partnerships with FinTech firms that specialize in digital lending.