Strategic Fit and Performance of Insurance Firms in Nairobi City County, Kenya

dc.contributor.advisorAnne Muchemien_US
dc.contributor.authorWambui, Muiruri Terrywinnie
dc.date.accessioned2023-08-09T07:46:49Z
dc.date.available2023-08-09T07:46:49Z
dc.date.issued2023
dc.descriptionA Research Project Submitted in Partial Fulfillment of the Requirements for the Award of the Degree of Master of Business Administration (Strategic Management Option) of the School of Business, Economics and Tourism of Kenyatta University, June 2023.en_US
dc.description.abstractDownside economic risks (political risks, COVID 19 pandemic and heightened inflation uncertainty) and uptake of insurance policies by potential customers have negatively affected the profitability of insurance industry. Further, in the Kenyan insurance industry, there has been a sequence of variations via reforms, communication and information technologies advancements, services have been globalized and development in the economies particularly since 2015 affecting the overall performance. This study determined the effect of strategic fit on performance of insurance firms in Nairobi City County. Specifically, it established the effect of structure fit, technology fit, management fit and operational fit on the performance of insurance firms. Resource dependency, resource based, diffusion on innovation and the balanced score card theories anchored the study. The study used both descriptive and explanatory research designs. Fifty five (55) registered insurance firms in Nairobi City County were targeted. A population of 521 general managers, underwriting managers, claims managers and marketing managers from the 55 registered insurance firms and employees who were not in management were focused. Two hundred and twenty six (226) respondents were purposively and randomly sampled. Questionnaires were the data collection tools where drop and pick later approach was used. Face and content validity was done by factor analysis and discussing the questions in the questionnaire with the supervisor while coefficients of above 0.7 was regarded sufficient to quantify the reliability of the data collection tool. Descriptive analysis was done while inferential statistics involved linear regression. There was a positive and significant linear correlation between structure fit (r=0.862, p=0.000), technology fit (r=0.815, p=0.000), management fit (r=0.799, p=0.000), operational fit (r=0.987, p=0.000) and performance of insurance firms. The regression results show a positive and significant effect of structure fit (β = 0.096, Sig. = 0.000), technology fit (β = 0.104, Sig. = 0.006) and operational fit (β = 1.014, Sig. = 0.000) on performance of insurance firms which implies that structure fit, technology fit and operational fit affects performance of insurance firms positively. The study concludes that strategic fit components studied (structure fit, technology fit, management fit and operational fit) are interrelated and they affect the performance of insurance firms. Therefore, organizations should continuously work towards attaining strategic fit because it affects profitability, customers’ loyalty, customers’ satisfaction and market share of insurance firms.en_US
dc.description.sponsorshipKenyatta Universityen_US
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/26661
dc.language.isoenen_US
dc.publisherKenyatta Universityen_US
dc.subjectStrategic Fiten_US
dc.subjectInsurance Firmsen_US
dc.subjectNairobi City Countyen_US
dc.subjectKenyaen_US
dc.titleStrategic Fit and Performance of Insurance Firms in Nairobi City County, Kenyaen_US
dc.typeThesisen_US
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