Using Bibliometrics and Text Mining to Explore the Trends of E-Marketing Literature from 2001 to 2010

被引：9
|
作者：
He, Wu [1 ]
Chee, Thad [2 ,3 ]
Chong, Dazhi [4 ]
Rasnick, Elizabeth [4 ,5 ]
机构：
[1] Old Dominion Univ, Dept Informat Technol & Decis Sci, Norfolk, VA 23529 USA
[2] Old Dominion Univ, Norfolk, VA 23529 USA
[3] NASA Langley Res Ctr, Hampton, VA USA
[4] Old Dominion Univ, Majoring Informat Technol, Norfolk, VA 23529 USA
[5] Old Dominion Univ, Multiple Informat Literacy Courses, Norfolk, VA 23529 USA
来源：
INTERNATIONAL JOURNAL OF ONLINE MARKETING | 2012年 / 2卷 / 01期
关键词：
Bibliometric Analysis; Clustering Analysis; E-Marketing; Internet Marketing; Online Marketing; Text Mining;
D O I：
10.4018/ijom.2012010102
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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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页码：16 / 24
页数：9
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