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dc.contributor.authorKimani, Elijah M.
dc.contributor.authorMburu, Priscilla W.
dc.date.accessioned2016-11-24T08:04:41Z
dc.date.available2016-11-24T08:04:41Z
dc.date.issued2016-09
dc.identifier.citationJournal of Business and Management, vol 18 (9), 59-65en_US
dc.identifier.issn2278-487X
dc.identifier.issn2319-7668
dc.identifier.urihttp://hdl.handle.net/123456789/1269
dc.description.abstractA number of insurance firms in Kenya have been facing several challenges. The competition has been stiff in the sector which has occasioned price undercutting. This has resulted in reduced revenue, mergers of insurance firms, down-sizing, and even collapse of these firms. In this light, tackling uncompetitive practices such as premium undercutting is a critical issue to the sector which needs to be focused on. The study aims to determine the factors influencing price undercutting in the insurance sector in Nakuru County, Kenya. The study was delimited to establishing the effect of competition, cost of operations, profit margin goals, and product value on price undercutting in the insurance sector. The theory of competition, theories of cost, arbitrage pricing theory, and Bertrand price undercutting theory guided the study. A descriptive survey research design was adopted. The study targeted all employees working with insurance firms in Kenya where the accessible population will constitute 187 accounts and finance employees working with the 11 insurance firms in Nakuru County. Stratified random sampling was employed to draw 64 sampled respondents from the accessible population. The study used a structured questionnaire to collect data from the sampled respondents. The questionnaires were first pilot tested in order to ensure it was both valid and reliable for use in collecting data for the main study. The researcher first obtained the necessary permits and consents from relevant authorities. The collected data was analyzed with the aid of the Statistical Package for Social Sciences (SPSS) Version 21 analytical tool. The analysis was in form of both descriptive and inferential statistics. Descriptive statistics comprised means, modes, variance and standard deviations. On the other hand, inferential statistics was in form of Pearson’s correlation and multiple regression analysis. The results of the analysis was presented in form of statistical tables, charts and graphs. The study will be significant particularly to policy makers, practioners and scholars in the insurance sector in Kenya and beyond. From the findings the researcher concluded that huge costs go to marketing insurance products. Insurance firms also incur massive costs in terms of commissions to insurance agents. High labour costs in insurance sector leads to price undercutting. The study also concluded that insurance firms have different product lines, product value is factored in when pricing and finally different products are priced differently. The study recommended that there is need for insurance firms to use competitive strategy like timely introduction of a product and service, depending on the season and the target customers. Since majority of insurance offer similar products, Insurance should diversify their products. This will help them to have an advantage of their competitors.en_US
dc.language.isoenen_US
dc.subjectCompetitionen_US
dc.subjectInsuranceen_US
dc.subjectPrice undercuttingen_US
dc.titleFactors Influencing Price Undercutting in The Insurance Sector in Nakuru County in Kenyaen_US
dc.typeArticleen_US


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