Scientific journal paper Q1
Research trends on Big Data in Marketing: a text mining and topic modeling based literature analysis
Alexandra Amado (Amado, A.); Paulo Cortez (Cortez, P.); Paulo Rita (Rita, P.); Sérgio Moro (Moro, S.);
Journal Title
European Research on Management and Business Economics
Year (definitive publication)
2018
Language
English
Country
Spain
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Abstract
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.
Acknowledgements
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Keywords
Big data,Marketing,Literature analysis,Research trends,Text mining
  • Economics and Business - Social Sciences
Funding Records
Funding Reference Funding Entity
UID/PSI/03125/2013 Fundação para a Ciência e a Tecnologia
UID/MULTI/0446/2013 Fundação para a Ciência e a Tecnologia