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Convergence of Information Technology, Operations Functions and Performance of Commercial Banks in Kenya

Author

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  • Omido Nicholas Lufumbu

    (University of Nairobi, Department of Management Science: Nairobi, Kenya)

  • Muranga James Njihia

    (University of Nairobi, School of Business -Department of Management Science: Nairobi, Kenya)

Abstract

The objective of the study was to determine the degree of convergence in Operation and Information Technology in commercial banks and to assess the impacts of IT and Operation convergence on performance of commercial banks in Kenya. The study adopted an exploratory research design. The study population consisted of 43 commercial banks in Kenya. Primary data was collected through the use of questionnaires while secondary data was collected from the financial statements of the commercial banks. The data was analyzed by use of descriptive statistics. The Regression analysis was used to assess the impacts of Information Technology and Operations convergence on performance of commercial banks. The study established there was a degree of convergence between Information Technology and Operations in the following areas starting with the highest to lowest; product upgrade, product management, real time implementation, product development, strategic planning, decision making, process development and budget making. The study also found commercial banks had heavily invested in Information Technology in the following areas from highest to lowest; customer requests, core banking systems, cash management and transfers, alternative channels, POS systems and loan processing. The study found out there was a small relationship between the convergence of Information Technology and Operations processes on organizational performance but no relationship at the management practices. The chi-square test indicated a moderate linear relationship between convergence of Information Technology and organizational performance. This implied that convergence of the two functions does not necessarily lead to banks making higher profits. The banks which had been in existence for more than 10 years had the highest convergence score either at the processes or at the organizational structure. There was interesting results from the research where most banks merged the two functions at early age but after operating for five years they separated the two functions and after 10 years they converged again. The researchers can argue that the banks understood the importance of having Operations and Information Technology functions working together for effectiveness and efficiency and that’s why they merged the two functions again after separating them.

Suggested Citation

  • Omido Nicholas Lufumbu & Muranga James Njihia, 2017. "Convergence of Information Technology, Operations Functions and Performance of Commercial Banks in Kenya," Noble International Journal of Social Sciences Research, Noble Academic Publsiher, vol. 2(4), pages 39-56, April.
    • Handle: RePEc:nap:nijssr:2017:p:39-56
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    References listed on IDEAS

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    1. Robb, David J. & Xie, Bin & Arthanari, Tiru, 2008. "Supply chain and operations practice and performance in Chinese furniture manufacturing," International Journal of Production Economics, Elsevier, vol. 112(2), pages 683-699, April.
    2. Sunil Chopra & William Lovejoy & Candace Yano, 2004. "Five Decades of Operations Management and the Prospects Ahead," Management Science, INFORMS, vol. 50(1), pages 8-14, January.
    3. Kraemer, Kenneth L. & Dedrick, Jason, 1994. "Payoffs from investment in information technology: Lessons from the Asia-Pacific region," World Development, Elsevier, vol. 22(12), pages 1921-1931, December.
    4. David, Paul A, 1990. "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox," American Economic Review, American Economic Association, vol. 80(2), pages 355-361, May.
    5. Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
    6. Sanjeev Dewan & Chung-ki Min, 1997. "The Substitution of Information Technology for Other Factors of Production: A Firm Level Analysis," Management Science, INFORMS, vol. 43(12), pages 1660-1675, December.
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