@article{ART002198106},
author={Nam Boryeong and Lee Hwansoo and Kim Sang-Kyun},
title={Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2017},
volume={12},
number={1},
pages={69-78},
doi={10.34163/jkits.2017.12.1.007}
TY - JOUR
AU - Nam Boryeong
AU - Lee Hwansoo
AU - Kim Sang-Kyun
TI - Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal
JO - Journal of Knowledge Information Technology and Systems
PY - 2017
VL - 12
IS - 1
PB - Korea Knowledge Information Technology Society
SP - 69
EP - 78
SN - 1975-7700
AB - KOIN (Korean medicine 人, http://www.koin.re.kr) is a Korean medicine knowledge portal developed for users who are interested in Korean medicine to share relevant information. The purpose of the present study is to seek methods for advancing the quality of the contents and services of KOIN to secure future users of the portal services before fully initiating the KOIN service. The crowd testing method was applied to test the functionality and usability of the current KOIN service, and domestic and international websites providing similar services were investigated and analyzed. About 150 errors were found in this functional testing procedure, but the identified functional problems were all corrected. An average score of 3.33 was calculated in the usability test, in which the reliability and the playfulness showed the highest and lowest score, respectively. We in this paper surveyed the 15 relevant websites with respect to KOIN in the traditional medicine and the modern medicine fields. The strengths and weaknesses of similar websites were analyzed to improve the KOIN services. In particular, it is shown that the evidence-based Korean medicine knowledge is KOIN’s biggest strength. Users’ needs and demand for the KOIN services will be continuously gathered to provide the Korean medicine knowledge services that the users require.
KW - KOIN;Korean medicine;Crowd testing;Portal;Health knowledge
DO - 10.34163/jkits.2017.12.1.007
ER -
Nam Boryeong, Lee Hwansoo and Kim Sang-Kyun. (2017). Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal. Journal of Knowledge Information Technology and Systems, 12(1), 69-78.
Nam Boryeong, Lee Hwansoo and Kim Sang-Kyun. 2017, "Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal", Journal of Knowledge Information Technology and Systems, vol.12, no.1 pp.69-78. Available from: doi:10.34163/jkits.2017.12.1.007
Nam Boryeong, Lee Hwansoo, Kim Sang-Kyun "Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal" Journal of Knowledge Information Technology and Systems 12.1 pp.69-78 (2017) : 69.
Nam Boryeong, Lee Hwansoo, Kim Sang-Kyun. Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal. 2017; 12(1), 69-78. Available from: doi:10.34163/jkits.2017.12.1.007
Nam Boryeong, Lee Hwansoo and Kim Sang-Kyun. "Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal" Journal of Knowledge Information Technology and Systems 12, no.1 (2017) : 69-78.doi: 10.34163/jkits.2017.12.1.007
Nam Boryeong; Lee Hwansoo; Kim Sang-Kyun. Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal. Journal of Knowledge Information Technology and Systems, 12(1), 69-78. doi: 10.34163/jkits.2017.12.1.007
Nam Boryeong; Lee Hwansoo; Kim Sang-Kyun. Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal. Journal of Knowledge Information Technology and Systems. 2017; 12(1) 69-78. doi: 10.34163/jkits.2017.12.1.007
Nam Boryeong, Lee Hwansoo, Kim Sang-Kyun. Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal. 2017; 12(1), 69-78. Available from: doi:10.34163/jkits.2017.12.1.007
Nam Boryeong, Lee Hwansoo and Kim Sang-Kyun. "Test and Analysis for Improving the Service Quality of Korean Medicine Knowledge Portal" Journal of Knowledge Information Technology and Systems 12, no.1 (2017) : 69-78.doi: 10.34163/jkits.2017.12.1.007
