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KeyGraph-based chance discovery for exploring the development of e-commerce topics

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Abstract

The purpose of this study is to integrate the method of chance discovery with visualization tools (KeyGraph) for presenting important and latent research topics in the e-commerce (EC) field. This study collects keywords and abstracts from 995 articles in four primary EC journals. To establish the professional terms of EC, this work divides EC development into three periods: the development of the Internet, the growth of information technology, and the extension of commerce applications. For exploring significant and latent EC topics, this study analyzes the differences and similarities between international and Taiwanese sources. Pursuing this approach yields three findings. First, this paper determines that the KeyGraph as a computing process and a visualization tool is an effective method for exploring future research topics. Second, international EC topics have different thematic characteristics at different phases and they are more diverse and extensive than Taiwanese sources. Third, a professional thesaurus is very helpful in identifying EC research topics. All these findings suggest Taiwanese scholars should pay more attention to research issues from international journals when studying EC.

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Notes

  1. The data of the journals collected by this study (IJEC, ECR, EM and JECR) can be found from the following websites of which the addresses are as follows: (1) http://www.ijec-web.org/, (2) http://springerlink.com/content/106595/, (3) http://www.electronicmarkets.org/, (4) http://www.csulb.edu/journals/jecr/p_i.htm.

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Acknowledgments

This research was partially sponsored by the National Science Council (NSC), Taiwan under Grant No: NSC 98-2410-H-606-006-MY2.

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Authors and Affiliations

  1. Department of Information Management, National Defense University, No. 70, Sec. 2, Zhongyang North Road, Beitou, Taipei, 112, Taiwan

    Liang-Chu Chen, Ting-Jung Yu & Chia-Jung Hsieh

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  1. Liang-Chu Chen
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  2. Ting-Jung Yu
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  3. Chia-Jung Hsieh
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Correspondence to Liang-Chu Chen.

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Chen, LC., Yu, TJ. & Hsieh, CJ. KeyGraph-based chance discovery for exploring the development of e-commerce topics. Scientometrics 95, 257–275 (2013). https://doi.org/10.1007/s11192-012-0826-2

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