This research deals with identifying those factors affecting the adoption of E-hailing service inrnAddis Ababa, Ethiopia. Internet based questionnaire was used to gather the data from 384rnrespondents who were selected using a convenient sampling technique. The collected data wasrnanalyzed using SPSS version 26, employing statistical tools such as reliability, correlation, andrnmultiple regression analysis. The result of the study uncovered that all the six independentrnvariables (Performance expectancy, Effort expectancy, Social influence, Facilitating condition,rnperceived credibility, and price saving orientation has a positive and significant effect on thernadoption of E-hailing service. In accordance the multiple regression analysis result uncovered thatrn79.5 % of variation in the Adoption of E-hailing service is explained by the combined effect of thernsix independent variable and the unstated variables represent 20.5 % of the variation. Furthermore,rnthe study indicated that facilitating condition was the strongest predictor of the adoption of ehailingrnservice while price saving orientation represent the least importance in relation to thernadoption of E-hailing application .Also six hypotheses were tested to examine the effect of thesernvariables have on the adoption of E-hailing service. Thus, the outcome chiefly indicates thatrnpassengers will adopt E-hailing application if they perceive that E-hailing application is easy tornuse, allow them to communicate with drivers quickly, is compatible with other technologies, makernthem feel safe, and increases their prestige among others. Based on the findings of the study, thernresearcher forwarded some recommendations