KNOWLEDGE MANAGEMENT CAPABILITIES AND STRATEGY IMPLEMENTATION IN INSURANCE COMPANIES IN KENYA

EVA MOCHAMA, GODFREY K. MAKAU, PhD
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Abstract

The study administered 50 questionnaires to all the respondents, with only 46 returning their questionnaire, representing a 94.5% response rate, which was statistically acceptable for generalization. The adjusted R2, in this context, quantified the predictive capacity of the study model. The result revealed an adjusted R2 value of 0.775, signifying that 77.5% of the variations in strategy implementation within Kenyan insurance companies can be attributed to infrastructure capabilities, process capabilities, relational capabilities, and protection capabilities. This leaves 22.5% unaccounted for, indicating other factors at play. The probability return value of 0.00 in the table above indicates a strong, statistically significant link. This number shows how expressively well-predicted it is about how infrastructure, process, relational, and protection capabilities will affect how strategies are implemented in Kenyan insurance companies. Moreover, the estimated F-statistic, which was significant at the 5% level, came to 35.091, confirming the model's overall importance. The regression model equation for this research study was: Y = 4.728 + 0.754X1 + 0.863X2 + 0.645X3 + 0.936X4. When all knowledge management variables were zero, Kenyan insurance companies' strategy implementation scored 4.728. An incremental unit improvement in infrastructure capabilities correlated with a 0.754 rise in the strategy implementation within Kenyan insurance businesses when all other independent variables were set to zero. Within these insurance businesses, there was an improvement in strategy implementation of 0.645, with a unit rise in relational capabilities and an increase of 0.863 in process capabilities. Similarly, a significant 0.936 improvement in strategy implementation was associated with every unit increase in protective capacities in Kenyan insurance companies. More generally, it is interesting to observe that, among Kenyan insurance businesses, protection capabilities had the most significant impact on strategy implementation. Process, infrastructure, and relational capabilities came next in that order. These variables were found to be significant (p<0.05). Keywords: K nowledge M anagement capability , Knowledge acquisition , Knowledge application CITATION : Mochama, E., & Makau, G. K. (2023). Knowledge management capabilities and strategy implementation in insurance companies in Kenya. The Strategic Journal of Business & Change Management, 10 (4), 696 – 708. http://dx.doi.org/10.61426/sjbcm.v10i4.2773.
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肯尼亚保险公司的知识管理能力和战略实施
本研究对所有被调查者发放了50份问卷,只有46份返回问卷,回复率为94.5%,在统计学上可以接受推广。在这种情况下,调整后的R2量化了研究模型的预测能力。结果显示调整后的R2值为0.775,表明肯尼亚保险公司战略实施的77.5%的变化可归因于基础设施能力、流程能力、关系能力和保护能力。还有22.5%的人下落不明,这表明还有其他因素在起作用。上表中的概率返回值为0.00,表明两者之间存在很强的、统计上显著的联系。这个数字显示了对基础设施、流程、关系和保护能力将如何影响肯尼亚保险公司战略实施的预测是多么准确。此外,估计的f统计量在5%水平下显著,达到35.091,证实了模型的总体重要性。本研究回归模型方程为:Y = 4.728 + 0.754X1 + 0.863X2 + 0.645X3 + 0.936X4。当所有知识管理变量均为零时,肯尼亚保险公司的战略执行得分为4.728。当所有其他自变量设置为零时,基础设施能力的增量单位改进与肯尼亚保险业务战略实施的0.754上升相关。在这些保险业务中,战略实施的改善为0.645,关系能力上升了一个单位,流程能力增加了0.863。同样,肯尼亚保险公司每增加一个单位的保护能力,战略实施的显著改善就有0.936。更一般地说,有趣的是,在肯尼亚保险企业中,保护能力对战略实施的影响最为显著。流程、基础设施和关系功能紧随其后。这些变量被发现是显著的(p<0.05)。关键词:知识管理能力,知识获取,知识应用引文:Mochama, E., &马考,G. K.(2023)。肯尼亚保险公司的知识管理能力和战略实施。商业战略杂志;管理学报,2010(4),696 - 708。http://dx.doi.org/10.61426/sjbcm.v10i4.2773。
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