- Sustainability Journal
- September 2020
Digital Object Identifier (DOI)
International Standard Serial Number (ISSN)
- This study presents a methodology for forecasting the medium- and long-term real revenues of the automotive post&-sales service sectors, assuming the automobile industry is nowadays undergoing a deep process of transformation. There are several conditioning factors, usage as well as environmental reasons, that makes past times an unreasonable guide for a future forecast. Firstly, we estimate, using regression models, the most important variables for the automobile sector that will affect the long&-term forecasts of the automotive aftermarket's revenues. Secondly, we apply participatory methods to quantify the impact of the new conditioning factors. This is a research tool used for the Spanish automotive aftermarket. Our results indicate how stakeholders' perceptions modulate the forecasts for those economic sectors involved in a disrupted changing business model.
- automotive aftermarket; mobility; new conditioning usage and environmental factors; registrations; stakeholders' perceptions