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.

引用

页码：16 / 24

页数：9

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