Publicação
Data science applied to Marketing:a literature review
| dc.contributor.author | Rosário, Albérico | |
| dc.contributor.author | Moniz, Luis Bettencourt | |
| dc.contributor.author | Cruz, Rui | |
| dc.date.accessioned | 2021-12-29T11:28:38Z | |
| dc.date.available | 2021-12-29T11:28:38Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Data Science applied to Marketing has been a research interest due to competitive advantages in business. We have applied a systematic literature review between 2010 and 2020, reaching a total of 19 valid articles. After a deeper segmentation, 13 articles were selected for inclusion in the review comprising the period 2013-2020. On scientific production, the topic Data Science Applied to Marketing, in 2020, has a new subject of interest. The number of citations has been growing since 2015 and the findings revealed that marketing is recurring of a variety of data science methods, from micro-segmentation and realtime application to natural language processing. The impact is evident in digital advertising, micro-segmentation and micro-targeting, speed and performance, and real-time experimentation. The use cases of data analytics in marketing have used four methods with the highest potential to impact marketing approaches: Internet-of-Things, big data, artificial intelligence, and machine learning. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Rosario. A., Moniz, L. B. & Cruz, R. (2021). Data science applied to Marketing:a literature review. Journal of information science and engineering, 37(5) 1067-1081. doi: 10.6688/JISE.202109_37(5).0006 | pt_PT |
| dc.identifier.doi | 10.6688/JISE.202109_37(5).0006 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.15/3824 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Academia Sinica | pt_PT |
| dc.relation.publisherversion | https://www.airitilibrary.com/Publication/alDetailedMesh?DocID=10162364-202109-202108270004-202108270004-1067-1081 | pt_PT |
| dc.subject | Data science | pt_PT |
| dc.subject | Marketing | pt_PT |
| dc.subject | Decision making | pt_PT |
| dc.subject | Research trends | pt_PT |
| dc.subject | Literature review | pt_PT |
| dc.title | Data science applied to Marketing:a literature review | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Taipei, Taiwan | pt_PT |
| oaire.citation.endPage | 1081 | pt_PT |
| oaire.citation.issue | 5 | pt_PT |
| oaire.citation.startPage | 1067 | pt_PT |
| oaire.citation.title | Journal of information science and engineering | pt_PT |
| oaire.citation.volume | 37 | pt_PT |
| person.familyName | Rosário | |
| person.givenName | Albérico | |
| person.identifier | AAT-7696-2020 | |
| person.identifier.ciencia-id | E31B-C062-212A | |
| person.identifier.orcid | 0000-0003-4793-4110 | |
| person.identifier.scopus-author-id | 57222987322 | |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 3434b66a-891e-421a-aaf6-439407ef9722 | |
| relation.isAuthorOfPublication.latestForDiscovery | 3434b66a-891e-421a-aaf6-439407ef9722 |
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