Despite Ethiopia‘s abundant renewable energy and rising fuel prices, electric vehicle (EV) adoption remains low due to inadequate infrastructure, technological uncertainty, and limited consumer awareness, leaving key drivers of public attitudes, potential buyers‘ intention, and user satisfaction less understood. This dissertation aims to investigate determinants and to map the research landscape in Africa. Methodologically, the dissertation employs a survey design comprising (i) three quantitative studies using survey data collected from Addis Ababa and analyzed through PLS-SEM, and (ii) two bibliometric reviews (2004–2024) using Bibliometrix and VOSviewer to assess Ethiopian and African EV research trends. The first empirical study surveyed 394 potential buyers using Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model; the second surveyed 347 respondents applying Theory of Planned Behaviour (TPB) and Technology Acceptance Model (TAM) to assess public attitudes; and the third analyzed 326 EV users basing Consumer Satisfaction Theory (CST) and Expectation Confirmation Theory (ECT,) and incorporating perceived value and government incentives as mediators and moderators respectively. Findings show that performance expectancy and social influence significantly shape adoption intention, while effort expectancy is insignificant and price value has a modest effect. Meanwhile, public attitudes are strongly driven by performance and social influence. Moreover, user satisfaction is enhanced by charging infrastructure; price negatively influenced users‘ satisfaction, and perceived value ha as full mediated role on performance. Government incentives moderated the relationship. The Bibliometric analysis shows a rapid global rise in EV research but limited researches in Ethiopia and Africa. The study strengthens the theoretical foundations of UTAUT2, TAM, TPB, CST, and ECT in emerging-economy contexts while providing practical, actionable insights for policymakers on infrastructure development, incentive design, and awareness strategies. Future research should broaden coverage, apply mixed-methods and integrate emerging variables.