Publicação
Forecasting the Portuguese car fleet and automotive aftermarket for the future
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Santos, Carlos Daniel | |
| dc.contributor.author | Monteiro, João Emanuel Hipolito De Borba | |
| dc.date.accessioned | 2020-09-23T14:42:57Z | |
| dc.date.available | 2020-09-23T14:42:57Z | |
| dc.date.issued | 2020-01-13 | |
| dc.date.submitted | 2019-12-15 | |
| dc.description | A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics | en |
| dc.description.abstract | The automotive aftermarket business could face losses due to the rising trend around Electric transportation. Previous research as shown that the market share for these vehicles can go up to 7.6% in the Portuguese car fleet. In this study, the author uses time series models to forecast the Portuguese car fleet by 2030 and discusses the possible implications in the automotive aftermarket. Results show that under an optimistic scenario, market share for Electric Vehicles can reach 15.5%, however, its impact could be offset by trends in other car segments. | pt_PT |
| dc.identifier.tid | 202493032 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/104575 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | Nova School of Business and Economics | |
| dc.subject | Electric | pt_PT |
| dc.subject | Fleet | pt_PT |
| dc.subject | Tips4y | pt_PT |
| dc.subject | Aftermarket | pt_PT |
| dc.title | Forecasting the Portuguese car fleet and automotive aftermarket for the future | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UID/ECO/00124/2013 | |
| oaire.awardTitle | Nova School of Business and Economics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FECO%2F00124%2F2013/PT | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| relation.isProjectOfPublication | 644a3f4f-817b-4d0d-aba6-f98cdca28bc7 | |
| relation.isProjectOfPublication.latestForDiscovery | 644a3f4f-817b-4d0d-aba6-f98cdca28bc7 | |
| thesis.degree.name | Mestrado em Gestão | pt_PT |
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