Abstract: The banking industry is fast moving away from the traditional manual methods to sophisticated digital methods of doing business that is leading to production of large quantities of customer data. Despite the migration to digital era, commercial banks are still struggling to remain a float with some of them having been placed under receivership due to deteriorating performance. This study sought to determine the effect of big data relative advantage on performance of commercial banks in Kenya. The study used an explanatory research approach. The target group consisted of all 39 commercial banks that were registered as of December 31, 2020. Descriptive statistics were used to explain the nature of the study variables. Through the use of inferential statistics linear regression research, the relationship between the study variables was determined. The results showed that big data relative advantage had a positive and significant effect on bank performance. This study encourages commercial banks to evaluate the big data technology they have in place to ensure it gives them a relative advantage to improve their efficiency and overall performance. As a result, it's important to make sure that big data technology results in quicker and more accurate decision-making. Utilizing big data capabilities is also necessary to prevent moral hazards and adverse selection, to facilitate work by utilizing the information acquired through big data, and to archive crucial data for future decision-making.
Keywords: Big Data Relative Advantage, Performance, Commercial Banks.
Title: Big Data Relative Advantage and Performance of Commercial Banks in Kenya
Author: Gyaviira Ogola, David Nzuki, Morrisson Mutuku
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 12, Issue 3, July 2024 - September 2024
Page No: 5-12
Research Publish Journals
Website: www.researchpublish.com
Published Date: 06-July-2024
