Factors influencing the performance of the 2020 route to market project: a case of Kimfay East Africa limited
The purpose of this study is to establish the factors that influence the performance of the 2020 route to market project at Kim-Fay East Africa Limited. The particular objectives will be to determine the influence of availability of finances on performance of route to market project at Kim-Fay East Africa, to establish the influence of management support skills on the performance of the 2020 RTM project at Kim-Fay East Africa Limited, to assess how employee skills influence the performance of the 2020 RTM project at Kim-Fay East Africa Limited and examine how political environment influence the performance of RTM project at Kim-Fay East Africa limited. Literature review will be conducted through interaction with works from other researchers on route to market strategies and review the finding of these researchers. The researcher will adopted the theoretical frame work from Ansoff’s growth Matrix and Route to Market modeling theory. The researcher will formulate a conceptual frame work including availability of finances, management skills, employee skills, political environment and performance of Kim-Fay route to market project. The conceptual frame work also incorporates one moderating variable technological factors. The research will adopt a descriptive survey design. A target population of 101 sales staff members from Kim Fay East Africa Limited was selected. Using Slovin’s formulae and a sample size of 81 sales staff members determined. The study will adopt stratified random sampling technique. Questionnaires will be selected as research instruments to collect data. The collected data will be sorted and coded with the help of Statistical Packages for Social Sciences (SPSS Version 21).The qualitative data will be analyzed through descriptive statistical technique and presented in percentages, mean and standard deviation. Inferential analysis through correlation and regression was applied to qualitative date to determine the relationship between RTM performance and different factors at 95% significance level.
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