Abstract: There has been growing concern amongst strategic management researchers and practitioners alike to attempt to understand why some firms achieve higher levels of performance than others albeit operating in the same or similar business environments. With the emergence of knowledge-based economy, knowledge is considered as the essential way to create wealth and prosperity and it is the important driving force for business success. The objective of the study was to establish the relationship between knowledge management and performance of media firms in Kenya. The hypotheses was developed and tested based on study objective. The research was anchored on Knowledge-Based View theory. A review of extant literature was carried out where hypothesis was derived from the literature. The study applied positivism philosophy and descriptive research design. Systematic sampling method was applied. The population of the study was all licensed media firms in Kenya. The study sample comprised all the licensed media firms in Kenya. There are 90 licensed television stations, 184 radio stations and 76 print media firms. Primary data was collected using semi-structured questionnaires. Data was analyzed using descriptive statistics and inferential statistics. The results of the study showed that knowledge management significantly influences firm performance. The findings in the study concur with theoretical argument from dynamic capabilities theory which presented knowledge management as a fundamental strategic initiative that guarantees firms competitive edge and performance. The study will enable stakeholders and owners of the media firms to develop policies that facilitate knowledge management process in their firms and having processes for applying knowledge learned from experience.
Keywords: Knowledge Management, Firm Performance, Media Firms.
Title: KNOWLEDGE MANAGEMENT AND PERFORMANCE OF MEDIA FIRMS: THE KENYAN PERSPECTIVE
Author: Nyaberi, Justry P. Lumumba
International Journal of Management and Commerce Innovations
ISSN 2348-7585 (Online)
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