Electric vehicles are an emerging topic in organizations and society. Access to economically and environmentally workable sustainable technologies has become a priority in the face of catastrophic climate change and the discussion surrounding it. This study examines the academic literature to shed light on factors, trends, emerging models, and critical perspectives on electric vehicles and their relationship to value creation, strategic management, and sustainability. This research uses a bibliometric analysis method to explore the dynamic interaction between these essential elements of the literature. The source is the Scopus database. The analysis uses VOSviewer software 1.6.20, focusing on the bibliographic coupling of documents, which was presented as a network visualization map. It emphasizes search terms proving the emerging need for innovation strategies in automotive industry organizations, consumers, and public entities to create value within a global sustainability logic. This study highlights the relationship between the electric vehicle industry and the value creation strategy and sustainability in a digital world.

This paper aims to provide small- and medium-sized enterprises (SMEs) owned by families with a simple, achievable technical methodology for the assessment of sustainable mobility alternatives, in particular, the purchase of electric vehicles (EVs) and photovoltaic (PV) systems. By adopting a comprehensive comparative analysis approach, this research aims to empower SMEs to make highly informed decisions concerning the choice of vehicles and energy systems that provide strategic and sustainable value. Based on a quantitative analysis linked to the total costs over ten years, and considering the different types of vehicles (electric, hybrid, and combustion) and the integration of PV systems, practical formulas are used to calculate the total cost of ownership (TCO), energy consumption, and CO₂ emissions. The results show that adopting electric vehicles, especially those complemented by photovoltaic systems with storage for night-time charging, can significantly reduce operating costs and carbon emissions, generating economic and environmental value. This study provides an accessible and applicable approach to the context of family SMEs, facilitating the analysis and choice of mobility options based on simple and commercially available data. By focusing on value creation through informed and strategic decisions, this work offers a relevant contribution to the competitiveness and sustainability of SMEs, promoting the adoption of sustainable mobility technologies in an integrated and effective manner.

The transition to sustainable mobility requires decision-support tools that move beyond purchase price comparisons and capture the full total cost of ownership (TCO) of competing vehicle technologies. This paper presents a digital platform for comparing internal combustion engine vehicles (ICEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs) under user specific mobility profiles and Portuguese charging conditions. The platform combines vehicle attributes, annual mileage, tariff-aware charging allocation, maintenance coefficients, depreciation, taxes, incentives, and charging infrastructure costs in a modular eight-year TCO formulation. Two representative case studies show that BEVs achieve the lowest TCO, with values of approximately 24,950€ and 27,800€, corresponding to savings of about 12–13% relative to PHEVs and 20–26% relative to ICEVs. A structured validation strategy based on observed tariff benchmarks, implementation cases, public market consistency checks, and deterministic stress tests was used to examine model credibility. One-way sensitivity analysis shows that purchase price, depreciation, annual mileage, fuel price, electricity price, and the share of public charging are the main economic drivers. The study contributes to a transparent engineering oriented platform architecture, a tariff-aware decision engine, and a scalable scenario evaluation framework that can support future integration of environmental indicators, predictive maintenance, and secure charging network interoperability.