英文摘要 |
This study applies bibliometric methodology to analyze e-commerce research trends from 1996 to 2013 by locating headings “e-commerce” in topics in the SSCI database. The bibliometric analytical technique is used to examine the topics in SSCI database from 1996 to 2013, we found 3259 articles in the fields. This paper implements and classifies ecommerce articles using the following eight categories — publication year, citation, country/territory, document type, institute name, language, source title and subject area — for different distribution status in order to explore the differences and how e-commerce technologies have developed in this period to analyze e-commerce research tendencies under the above result. Also, the paper performs the K-S test to check whether the analysis follows Lotka’s law. This analysis provides a roadmap for future research abstracts technology trend information and facilitates knowledge accumulations so that e-commerce researchers can save some time since core knowledge will be concentrated in core categories. This implies that the phenomenon 'success breeds success' is more common in higher quality publications. |