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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/8312
Title: DETERMINANTS OF CUSTOMER BUYING DECISIONS TOWARDS THE PURCHASE OF AN ELECTRIC VEHICLE (EV) IN ETHIOPIA.
Authors: DAGNE, NAHOM
Keywords: personal factors, Environmental Factors and Dealership Factors, and buying behavior.
Issue Date: Jun-2024
Publisher: St. Mary’s University
Abstract: The purpose of this research is to determine the factors that influence Ethiopian consumers' decisions to purchase electric vehicles (EVs). In order to gather quantitative and qualitative information that illustrates the impact of factors influencing purchase decisions toward electric vehicles (EVs) on consumer buying behavior, this study used an explanatory research approach. Primary and secondary sources of data were used in the investigation. Three hundred ten (310) respondents made up the sample for the primary data collection with stratified sampling method from automotive industry company and their customer database and ministry of transport and logistic , which was completed by questionnaire for quantitative data and interview for qualitative data. 291 of the total questionnaires that were distributed were deemed legitimate and were utilized to indicate a 93.8% response rate. Both descriptive and inferential analysis was conduct by using STATA SE12 for data analysis. Mean, frequency, and percentage were used in descriptive statistics to characterize the respondents' demographics and to find and discuss the levels of independent and dependent variables. Correlation analysis was used to ascertain the link between the variables, regression analysis was used to ascertain the impact of the independent factors on the dependent variables, and inferential analysis was utilized to test the hypothesis. The study's findings showed a positive correlation between purchasing behavior and each of the three independent variables—personal, environmental, and dealership characteristics. Regression analysis results showed that 90.4% of the variation in purchasing behavior is predictable
URI: http://hdl.handle.net/123456789/8312
Appears in Collections:Marketing Management

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