A study on the optimization of KCI-based index (Kor-Factor) in evaluating Korean journals

Young Man Ko; Soo-Ryun Cho; Yong Seok Park

doi:10.1007/s11192-011-0384-z

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Scientometrics

Volume/Issue:: Volume 88: Issue 1

A study on the optimization of KCI-based index (Kor-Factor) in evaluating Korean journals

Authors:

Young Man Ko

Young Man Ko Department of Library and Information Science, Sungkyunkwan University, Seoul, Korea

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Soo-Ryun Cho

Soo-Ryun Cho Institute for Knowledge and Information Management, Sungkyunkwan University, Seoul, Korea

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, and

Yong Seok Park

Yong Seok Park Research Institute of Applied Statistics, Sungkyunkwan University, Seoul, Korea

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Pages:: 61–71

Online Publication Date:: 09 Apr 2011

Publication Date:: 01 Jul 2011

Article Category:: Research Article

DOI:: https://doi.org/10.1007/s11192-011-0384-z

Keywords:: Kor-Factor; Evaluation factor; Evaluation index; Composite index; Journal indicator

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Abstract

This study describes the development process of Kor-Factor, which is a novel composite evaluation index that was developed to promote Korean domestic academic journals. As more data accumulate, the Kor-Factor's optimization process was modified in an attempt to address possible drawbacks of the original form; the result is presented in this study. This study compares Kor-Factor with the Impact Factor, which is the most well-known single element evaluation index. We found that Kor-Factor demonstrates a better power of differentiation and a greater capacity to reflect the reputability of key journals. The modified Kor-Factor, which has been developed through an optimization process, reveals a greater power of differentiation than the original Kor-Factor; however, the modified version has less capacity to reflect reputability. The evaluation elements of the modified Kor-Factor are better and are more evenly reflected on the index value than those of the original version. Finally, we propose the establishment of an appropriate data measurement period for the actual application of the index.

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Scientometrics

Print ISSN:: 0138-9130

Online ISSN:: 1588-2861

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Scientometrics
Language	English
Size	B5
Year of Foundation	1978
Volumes per Year	1
Issues per Year	12
Founder	Akadémiai Kiadó
Founder's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher	Akadémiai Kiadó Springer Nature Switzerland AG
Publisher's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245. CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible Publisher	Chief Executive Officer, Akadémiai Kiadó
ISSN	0138-9130 (Print)
ISSN	1588-2861 (Online)