Artikel
Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis
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 1560 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.
- Sprache
-
Englisch
- Erschienen in
-
Journal: European Research on Management and Business Economics (ERMBE) ; ISSN: 2444-8834 ; Volume: 24 ; Year: 2018 ; Issue: 1 ; Pages: 1-7 ; Amsterdam: Elsevier
- Klassifikation
-
Management
IT Management
Marketing
- Thema
-
Big data
Marketing
Literature analysis
Research trends
Text mining
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Amado, Alexandra
Cortez, Paulo
Rita, Paulo
Moro, Sérgio
- Ereignis
-
Veröffentlichung
- (wer)
-
Elsevier
- (wo)
-
Amsterdam
- (wann)
-
2018
- DOI
-
doi:10.1016/j.iedeen.2017.06.002
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Amado, Alexandra
- Cortez, Paulo
- Rita, Paulo
- Moro, Sérgio
- Elsevier
Entstanden
- 2018
Ähnliche Objekte (12)
Trend Mining
Trend mining
Mining “Big Data” using Big Data Services
Topic Modeling and Classification of Cyberspace Papers Using Text Mining
Topic Modeling and Classification of Cyberspace Papers Using Text Mining
Detecting herding behavior using topic mining: the case of financial analysts
Mining big data streams for multiple concepts
Mining relations from the biomedical literature
Mining relations from the biomedical literature
Topic
A clustering approach for topic filtering within systematic literature reviews
Topic space trajectories: A case study on machine learning literature
Trend Mining
Trend mining
Mining “Big Data” using Big Data Services
Topic Modeling and Classification of Cyberspace Papers Using Text Mining
Topic Modeling and Classification of Cyberspace Papers Using Text Mining
Detecting herding behavior using topic mining: the case of financial analysts
Mining big data streams for multiple concepts
Mining relations from the biomedical literature
Mining relations from the biomedical literature
Topic
A clustering approach for topic filtering within systematic literature reviews
Topic space trajectories: A case study on machine learning literature
Trend Mining
Trend mining
Mining “Big Data” using Big Data Services
Topic Modeling and Classification of Cyberspace Papers Using Text Mining
Topic Modeling and Classification of Cyberspace Papers Using Text Mining
Detecting herding behavior using topic mining: the case of financial analysts
Mining big data streams for multiple concepts
Mining relations from the biomedical literature
Mining relations from the biomedical literature
Topic
A clustering approach for topic filtering within systematic literature reviews