INFLUENCE OF KNOWLEDGE SHARING ON PERFORMANCE OF CONTAINER FREIGHT STATIONS IN MOMBASA COUNTY, KENYA
Abstract
Knowledge is considered a very vital resource for any firm. For the Container Freight Stations to increase learning and improving performance, they require to capture, share and utilize productive knowledge within their companies. The CFS in Mombasa try to capitalizes in crafting strategies that utilize knowledge to increase their performance. In this connection therefore, the main goal of the research was to investigate the influence of knowledge sharing on performance of container freight stations in Mombasa County, Kenya. The study looked at five theories underpinning this study and they are; Resource Based View, Knowledge Based View, the Learning Organization Theory, the Balanced Score Card and the efficiency structure theories. The study target population consisted of 110 employees who were the Management Staff, operational and support staff from the Container Freight Stations in Mombasa County. The sample size of the study was 85 drawn from 110 respondents spread in all levels of management. Primary information was collected using structured and unstructured questionnaires. The validity of the research instruments was attained at through content validity while reliability was tested using the Cronbach’s alpha technique. Pseudo R square statistics were utilized as a measure of relationship between of knowledge sharing and performance of container freight stations in Mombasa County, Kenya. The adjusted coefficient of determination R square computed at 0.64, Container Freight Stations have introduced knowledge management in its undertakings with an average mean of 4.56 and average Standard Deviation of 0.54 and a coefficient of variation of 0.21. The study findings indicated that there was a positive and significant correlation between knowledge sharing and performance of container freight stations in Mombasa County, Kenya. The study indicated that. The study findings indicated that an increase in knowledge sharing led to a unit increase on the performance of CFs in Mombasa County, Kenya. The study therefore recommended that CFSs should encourage their employees to utilize knowledge in order make them more effective.
Key Terms: knowledge sharing, Knowledge Management Orientation, Knowledge Sharing, Knowledge Exploration, Knowledge Exploitation
CITATION: Olumasi, D. A., & Rugami, A. (2022). Influence of knowledge sharing on performance of container freight stations in Mombasa County, Kenya. The Strategic Journal of Business & Change Management, 9 (2), 1394 -1404.
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Aiuah, A., &Tucci, C. L. (2012). Crowd sourcing as a solution to distant search. Academy of Management Review, 37, 355-375.
Alexey, O., Crisco, P., & Ammon, S. (2012). Managing unsolicited ideas for R&D. California Management Review. 54(3), 116-139.
Barney, J. (1991). Firm resources and sustained competitive advantage. A framework for Examining the key competencies
Bloom, P. N., &Chatterjee, A. K. (2009). Scaling social entrepreneurial Chatterjee Review, 51(3), 114-133.
Bock, G. W. (2005). Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-psychological Forces and Organizational Climate. MIS Quarterly, 87-111.
Brooks, I. (2006). Organizational Behavior: Individuals, Groups and Organization. Essex: Pearson Education Limited
Choi, Y.S. (2005). Critical factors of KM implementation success. Journal of Knowledge Management Practice, 6 (6).
Denison, D. R. (1990). Corporate culture and organizational effectiveness. John Wiley & Sons.
Evans, M. (2009) Tangible assets and organization performance. Social construction view of knowledge
Frankel, J.R., &Wallen, N. E. (2000). How to Design in Education. New York: Longman Publishers.
Frankfort Nahmias, Nahmias, D. (1996). Research Methods in SocialSciences5th Edition. New York: Replica Press Pvt. Ltd.
Gray, D. E. (2004). Doing Research in the Real World. London: Sage Publications.
Israel, G. (2012). Determining Sample Size. IFAS Extension: University of Florida. Retrieved on 23rd March 2012. http://edis.ifas.ufl.edu
Doing al (2000). Knowledge Management: Practices and Challenges. Industrial Management & Data Systems, 100 (1) 17-21. Retrieved on10th June 2012. http://www.emeraldinsight.com
Hamadeh, S. (2003). Knowledge Management Cultivating Professionals. Oxford:). Knowledge.
Hamel, G. and Prahalad, K. (1994) journal titled, Competing for the future. Knowledge Capabilities and Performance.
Jayant Sani, K. (2007). Application of Knowledge Management Sani. Retrieved on 23rdMarch 2012 from www.jatit.org.
Johnson, B. (2020) Institutional Knowledge and performance. Tacit and explicit Knowledge.
Kaplan, B. (1996). Organizational performance, a theory of Balanced score card.
Kumar, A. (2012). Knowledge and information of old projects. Journal Cost reduction
Jahnke, V., Venin, M., & Zahra, S. (2007). Governing entrepreneurial opportunity recognition in MNEs: Aligning interests and cognition under uncertainty. Journal of Management Studies, 44(7), 1278–1298.
Marx, B. C. (2011). Challenges Facing the Modern-Day Auditing Profession. Accountancy SA.
Nath, P., Meiyappan, S., &Ramanathan, R. (2010). The impact of marketing capability, operations capability and diversification strategy on performance. A Resource-Based View. Industrial Marketing Management, 39(2), 317–329.
Ogbonna, E. (1993) ‘Managing Organizational Culture: Fantasy or Reality? Human Resource Management Journal, 3(2), 42–54.
Oliveira, T., & Martins, M. F. (2011). Literature review of information technology adoption models at firm level. The Electronic Journal Information Systems Evaluation, 14(1), 110-121.
Owino, E. (2012). Institutionalization of knowledge management in manufacturing enterprises in Kenya. www.industralization.go.ke.industry/sector
Penrose, E. (1959). The Theory of the Growth of the Firm. Foundations for the resource on performance of organizations.
Pearce, J. A., Robbins, D. K. & Robinson, R. B. (1987). The Impact of Grand Strategy and Planning Formality on Financial Performance Strategic Management Journal, 8, 125–34.
Radian, C. R., Kumar, N., Herlinda, A. & Ling, G. Y. (2008). Organizational Culture as a Root of Performance Improvement: Research and Recommendations. Contemporary Management Research, 4(1), 43-56.
Rajinder, K. & Kumar, K. P. (2012). Knowledge Management Practices in SME Sector an Empirical Study. International Journal of Business and Management Tomorrow, 2(4), 1-9.
Remelt, R. (1984) Drivers to competitive advantage. Strategy, structure, and economic performance.
Richard, T. (2001). Strategic models and corporate performance
Taylor, E., & Renner, M. (2003). Analyzing Qualitative Data. Retrieved on 20th June 2012. http://www.learningstore.uwex.edu/pdf/G3658-12.
Wong, M.C, Yee, C.Y, Ling, C.C, Lin, E.C, Leong, S.C, (2012). Knowledge Management case in Asia/ A case study on the effects of implementing a customer knowledge management system to a public transport corporation. Electronic Journal of Knowledge Management, 4(2).
Yusoff, W, Daud, S. (2010). Knowledge management and firm performance in SMEs: The role of social capital as a mediating variable. Asian Academy
Yilmaz, C. & Ergun, E. (2008). Organizational culture and firm effectiveness: An examination of relative effects of culture traits and the balanced culture hypothesis in an emerging economy. Journal of World Business, 43, 290–306.
Shahidul, I. et al. (2007). The role of Knowledge Management Practices on Organizational Context and Organizational Effectiveness’ Journal28 (1), 42-53. Retrieved on 3rdMarch2012. http://www.journal.au.edu.
Zack, H. (1999) Knowledge wisdom. Presents a hierarchical typology of knowledge in organization which are necessary for efficient functioning
DOI: http://dx.doi.org/10.61426/sjbcm.v9i2.2342
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