Publication
Marketing mix and new product diffusion models
dc.contributor.author | Pinto, Luís G. | |
dc.contributor.author | Cavique, Luís | |
dc.contributor.author | Santos, Jorge M. A. | |
dc.date.accessioned | 2023-01-05T07:50:38Z | |
dc.date.available | 2023-01-05T07:50:38Z | |
dc.date.issued | 2022 | |
dc.description.abstract | In this paper we analyze the relationship between the marketing mix and new product diffusion models. The goal is to obtain a general new product diffusion model that incorporates the classic 4Ps model of the Marketing Mix: Product, Price, Place, Promotion. An empirical study was conducted using mobile broadband adoption data in Japan. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.1016/j.procs.2022.08.107 | pt_PT |
dc.identifier.issn | 1877-0509 | |
dc.identifier.uri | http://hdl.handle.net/10400.2/13023 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
dc.subject | New product diffusion | pt_PT |
dc.subject | Innovation diffusion | pt_PT |
dc.subject | Marketing science | pt_PT |
dc.subject | Forecasting | pt_PT |
dc.title | Marketing mix and new product diffusion models | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 890 | pt_PT |
oaire.citation.startPage | 885 | pt_PT |
oaire.citation.title | Procedia Computer Science | pt_PT |
oaire.citation.volume | 204 | pt_PT |
person.familyName | Cavique | |
person.givenName | Luís | |
person.identifier.ciencia-id | 911E-84AC-3956 | |
person.identifier.orcid | 0000-0002-5590-1493 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 40906a16-46a2-42f1-b26d-7db7012294ee | |
relation.isAuthorOfPublication.latestForDiscovery | 40906a16-46a2-42f1-b26d-7db7012294ee |