Relationship between knowledge management and performance of Commercial banks in Kenya
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Date
2014-10-03
Authors
Kinyua, Godfrey Muigai
Journal Title
Journal ISSN
Volume Title
Publisher
Kenyatta University
Abstract
The knowledge-based view has identified innovative knowledge as what companies require
to dominate an industry. Past studies have dealt with knowledge management too broadly
without considering specific aspects of knowledge management, and this has led to a limited
understanding of the extent of its effect on business performance, given that knowledge
management as a concept is complex in nature. Even though companies have implemented
knowledge management, they offer inconsistent support that it enhances firm's performance.
Despite the focus given by scholarly work, the understanding of the influence of knowledge
management on performance within organizations particularly commercial banks is still
developing. It is against this background that this study seeks to establish the relationship
between knowledge management and performance of Commercial Banks in Kenya. The
specific research objectives include; to determine the influence of knowledge conversion on
performance; to establish the influence of knowledge transfer on performance; to determine
the effect of knowledge application on performance; to analyze the influence of firm's culture
in the relationship between knowledge management and performance; and to examine the
influence of human capital repository in the relationship between knowledge management
and performance of commercial banks in Kenya. To achieve these objectives, the study has
adopted explanatory and cross-sectional survey design. The target population of this study
comprises all the 43 .commercial banks in Kenya. The unit of observation will be the
functional areas of human resource, fmance, marketing, information communication
technology, and operations in each bank. This study will use primary and secondary data.
Primary data will be collected using a questionnaire with both open-ended and closed-ended
questions. The questionnaire will be administered using the drop-and-pick later method.
Secondary data will be used to validate information collected from the questionnaire.
Quantitative data will be analysed using descriptive and inferential statistics. Descriptive
statistics will include percentages, frequencies, means, and standard deviations while .
inferential statistics will include regression and correlation analysis. Results of quantitative
. data analysis will be presented using figures and tables. Qualitative data with be analysed on
the basis of common themes and will be presented in a narrative form.
Description
A thesis submitted to the school of business in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy in Business Administration of Kenyatta University, October, 2015