Factors Affecting The Success Of Consumer Cooperative The Case Of Kolfe Keraniyo Sub-city

This paper focuses on assess factors affecting the success of consumer cooperative in Kolfe Sub City. Although consumer cooperatives typically state in their agreements that their objective is the provision of high-quality products at low prices to consumers and nominally operated in the interest of their members to pursue their objectives. To answer research questions, descriptive and explanatory method of research design, as well as the qualitative and quantitative type of research approach, is employed. The researcher was used both the primary and the secondary data sources. Regarding the numbers of the questionnaire, about 200 questionnaires were distributed for members of the consumer cooperative in the study area. In addition to this, the interview was used to strengthen the information that has been collected through questionnaires. The data has been analyzed through, descriptive statistics such as frequency distributions table, and inferential statistics such as linear regression and correlation have used to elicit meaningful information. The data entry and analysis have been performed by using Statistical Package for Social Science (SPSS) version 23.0. The consumer cooperatives are successful in providing fairness of prices of goods and services for their customers. However, these consumer cooperatives are falling behind in terms of overall performances, the sufficiency of consumer goods they provide to the community, timely supply of basic goods and services, consistency of supply of essential goods/commodities, generate incomes to members, and lack of promotion. Thus, the studied cooperatives have problems such as lack of adequate products based on their customers’ needs, and lack of timelines of supply of basic goods and services. Based on the correlational result, some of the independent variables have a positive and significant relationship with the dependent variable success of consumer cooperative. These variables include; political influences r=.684, influence of technology adoption r = .417, influence of management skills r =.525 sig

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