APPLICATION OF DECISION THEORY IN THE SELECTION OF ELECTRIC CHARGING STATIONS FOR AN SME

Purpose – The research considers the application of decision theory in the selection process of the electric charging station, dedicated to inclusion in small and medium-sized enterprises (SMEs), aiming at behavioral modeling and the advantages of an SME in the use of electric vehicles. The integration of electric vehicles (EVs) into the transportation ecosystem has required the development of a strategic framework for the selection of electric charging stations, especially for small and medium-sized enterprises (SMEs) that want to increase their sustainability and operational efficiency thus the study exploring the application of theory decision in the selection process of electric charging stations for SMEs, emphasizing the importance of a structured approach in optimizing both economic and environmental results. Methodology/approach – Detail the decision theory based on questioning the necessity, defining the purpose and clearly stating the advantages based on hypothesis and organization data collection. The critical interpretation is partially eclectic, using also recognized applied methodologies. Using principles of decision theory, the research develops a multi-criteria decision analysis (MCDA) model to evaluate various charging station options based on factors such as cost, location, accessibility and technological compatibility. By applying quantitative methods to evaluate these criteria, the study aims to provide SMEs with a robust decision-making framework that balances operational needs with sustainability goals. Findings – A reconsidered view about the charging systems, including the accumulators, type of chargers’ source of electricity and the potential environmental impact. Research limitations/implications – Some hypothesis and finding testing must be continued, was difficult to report at this stage of the research, due to resources limitations and the pandemic and post-pandemic encloser and impact over a proper statistical analysis. Practical implications – A new and adequate approach for inducing electromobility in SMEs, for employees and freight transport, thus generating a comprehensive approach to the trade-offs involved in selecting electric charging stations, providing practical insights for SMEs looking to make informed and strategic investment decisions in electric mobility. Originality/value – A practical view over the resource’s investment and advantages of electric mobility.