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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Amado, A., Cortez, P., Rita, P. & Moro, S. (2018). Research trends on Big Data in Marketing: a text mining and topic modeling based literature analysis. European Research on Management and Business Economics. 24, 1-7
Exportar Referência (IEEE) 
A. Amado et al.,  "Research trends on Big Data in Marketing: a text mining and topic modeling based literature analysis", in European Research on Management and Business Economics, vol. 24, pp. 1-7, 2018
Exportar BibTeX 
@article{amado2018_1714782984286,
	author = "Amado, A. and Cortez, P. and Rita, P. and Moro, S.",
	title = "Research trends on Big Data in Marketing: a text mining and topic modeling based literature analysis",
	journal = "European Research on Management and Business Economics",
	year = "2018",
	volume = "24",
	number = "",
	doi = "10.1016/j.iedeen.2017.06.002",
	pages = "1-7",
	url = "http://www.sciencedirect.com/science/article/pii/S2444883417300268?via%3Dihub"
}
Exportar RIS 
TY  - JOUR
TI  - Research trends on Big Data in Marketing: a text mining and topic modeling based literature analysis
T2  - European Research on Management and Business Economics
VL  - 24
AU  - Amado, A.
AU  - Cortez, P.
AU  - Rita, P.
AU  - Moro, S.
PY  - 2018
SP  - 1-7
SN  - 2444-8834
DO  - 10.1016/j.iedeen.2017.06.002
UR  - http://www.sciencedirect.com/science/article/pii/S2444883417300268?via%3Dihub
AB  - Given the research interest on Big Data in Marketing, we present a research literature analysis based on a text mining semi-automated approach with the goal of identifying the main trends in this domain. In particular, the analysis focuses on relevant terms and topics related with five dimensions: Big Data, Marketing, Geographic location of authors' affiliation (countries and continents), Products, and Sectors. A total of 1,560 articles published from 2010 to 2015 were scrutinized. The findings revealed that research is bipartite between technological and research domains, with Big Data publications not clearly aligning cutting edge techniques toward Marketing benefits. Also, few inter-continental co-authored publications were found. Moreover, findings show that research in Big Data applications to Marketing is still in an embryonic stage, thus making it essential to develop more direct efforts toward business for Big Data to thrive in the Marketing arena.
ER  -