Marketing Mix and New Product Diffusion Models
| dc.contributor.author | Pinto, Luís G. | |
| dc.contributor.author | Cavique, Luís | |
| dc.contributor.author | Santos, Jorge | |
| dc.contributor.editor | Maria Manuela Cruz-Cunha, Nuno Mateus-Coelho | |
| dc.date.accessioned | 2023-01-18T11:21:52Z | |
| dc.date.available | 2023-01-18T11:21:52Z | |
| 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 gen eral 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. | por |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | nd | |
| dc.identifier.authoremail | jmas@uevora.pt | |
| dc.identifier.citation | Luís G. Pinto, Luís Cavique, Jorge M.A. Santos, Marketing Mix and New Product Diffusion Models, Procedia Computer Science, Volume 204, 2022, Pages 885-890, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2022.08.107. (https://www.sciencedirect.com/science/article/pii/S1877050922008456) 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. Keywords: new product diffusion; innovation diffusion; marketing science; forecasting2023-01-05T07:50:38Z - | por |
| dc.identifier.doi | 10.1016/j.procs.2022.08.107 | por |
| dc.identifier.numrev | 204 | |
| dc.identifier.pagina | 885–890 | |
| dc.identifier.principalpublicationtitle | Marketing Mix and New Product Diffusion Models | |
| dc.identifier.revista | Procedia Computer Science | |
| dc.identifier.scientificarea | 339 | por |
| dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S1877050922008456 | |
| dc.identifier.uri | http://hdl.handle.net/10174/33524 | |
| dc.language.iso | por | por |
| dc.peerreviewed | yes | por |
| dc.publisher | Procedia Computer Science | por |
| dc.rights | restrictedAccess | por |
| dc.subject | new product diffusion | por |
| dc.subject | forecasting | por |
| dc.subject | marketing science | por |
| dc.subject | innovation diffusion | por |
| dc.title | Marketing Mix and New Product Diffusion Models | por |
| dc.type | article | por |