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    Assessment of the predictors of the uptake of cyber insurance in Uganda

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    Undergraduate dissertation (1.456Mb)
    Date
    2020-12
    Author
    Kitalikibi, Gift Zulfa
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    Abstract
    This study sought to assess the extent to which knowledge, attitude and practices, size of companies and affordability of premiums charged contribute to the uptake of cyber insurance. This quantitative cross-sectional study involved distribution of 10 sets of questionnaires to 10 digitalized companies in Kampala. Data was processed using Microsoft Excel 2013. Univariate, bivariate and multivariate analysis and cross tabulations were performed on the variables to establish relationships using STATA. In Univariate analysis, a total of 10 respondents participated in the study and results showed that half (50%) of the respondents had cyber insurance covers and half (50%) of the respondents encountered cyber related crime. The results of the study from the Bivariate analysis revealed significant relationships between size of company (number of employees), sensitization about cyber risk and cyber related crime, awareness of cyber insurance policies, policy provisions against all risks and affordability of premiums and the uptake of cyber insurance (p<0.1). From the Multivariate analysis, companies’ awareness (OR=2.64) and affordability of the premiums charged on cyber insurance policies (OR= 3.12) were the greatest predictors of the uptake of cyber insurance. The other variables looked at in the study barely had an effect on the uptake of cyber insurance policies. Therefore, there is urgent need to create awareness and sensitize the digitalized companies about the existence of cyber insurance and its relevance. Insurance companies should create more cyber insurance products and also be transparent and simplify the process of acquiring policies. Smaller companies should also be targeted; more effort should be made to understand the peculiar needs of the smaller digitalized companies such that special and affordable cyber insurance policies can be designed for them
    URI
    http://hdl.handle.net/20.500.12281/9183
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    • School of Statistics and Planning (SSP) Collection

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