This paper describes a hybrid approach, using bibliometrics and text-mining, used to analyze longitudinal trends in the literature of e-marketing research from 2001 to 2010. The abstracts of 888 articles from six leading marketing journals were analyzed. The analysis identifies several core topics and themes of e-marketing research and reveals trends occurring in this growing area. The study reveals that combing bibliometrics with text-mining is a useful way to identify themes and trends for a topic in the literature and can produce meaningful results to help researchers achieve a deeper understanding of an area of interest.
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Title
Using Bibliometrics and Text Mining to Explore the Trends of E-Marketing Literature from 2001 to 2010
Publication Details
International journal of online marketing, Vol.2(1), pp.16-24
Resource Type
Journal article
Publisher
IGI Global
Number of pages
9
Identifiers
WOS:000444118100002; 99381489939206600
Academic Unit
Center for Cybersecurity; Division of Academic Affairs