The research trends forecasted by bibliometric methodology: a case study in e-commerce from 1996 to July 2015
Hsu-Hao Tsai ()
Additional contact information
Hsu-Hao Tsai: Chihlee University of Technology
Scientometrics, 2015, vol. 105, issue 2, No 23, 1079-1089
Abstract:
Abstract This study explores e-commerce (EC) research trends and forecasts applying bibliometric analysis from 1996 to July 2015 with topic as “e-commerce” in SSCI database. The bibliometric analytical technique is used to examine the topic in SSCI journals from 1996 to July 2015, we found 5429 articles with EC. This paper surveys and classifies EC articles using the eight categories for different distribution status in order to explore how EC research trends and applications have developed in this period. Besides, the paper will perform K–S test to verify the reliability of Lotka’s Law. The study provides an EC roadmap to guide future research and abstract the trend information so that EC researchers can save some time to browse sources since core knowledge will be concentrated in EC core categories. In higher quality publications, it is very common for “success breeds success” phenomenon.
Keywords: E-commerce; Technology trend and forecast; Bibliometric methodology (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-015-1719-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:105:y:2015:i:2:d:10.1007_s11192-015-1719-y
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-015-1719-y
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().