• Journal of Fashion Business
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• v.24 no.6
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• pp.120-134
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• 2020

Recently, the beauty industry has implemented personalized services based on skin big data. To increase competitiveness in the beauty industry, systematic data measurement and evaluation indicators are necessary to select data and obtain necessary knowledge. In response, this study sought to stably enhance the accuracy of skin diagnosis based on satisfaction and reliability. To this end, the research was conducted through focus group interviews (FGI), a case study of brands, and analysis of prior research results. In particular, as a result of analyzing keywords that classify skin types by brand, common survey items for skin types were oiliness and using moisturizer, cosmetic use and vascular of skin, external stimulus and blemish & freckles, facial wrinkle, outside activities, self-consciousness, and smoke. In additioin to the common questions of the preceding study and the brand survey items, the questions concerning complex skin types, seasonal change, facial color, wrinkles and elasticity were added, and the questions were presented in a total of 40 items. In particular, it suggested that skin measurement could be conducted by focusing on elasticity and pigmentation items by reflecting the results of prior research and the opinions of FGI, and based on this, a customized service with high satisfaction and high accuracy of beauty care based on this could be proposed. We hope that this study will facilitate active self-care by providing more satisfying skin stones and personalized cosmetics proposals, thus laying the foundation for the further development of the cosmetics industry.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.3
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• pp.37-50
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• 2013

The purpose of this study is to determine the indicators and the criteria to classify types of train delays of high-speed rail in South Korea. Types of train delays have divided into the chronic delays and the knock-on delays. The Indicators based on relevance, reliability, and comparability were selected with arrival delay rate of over five minutes, median of arrival delays of preceding train and following train, knock-on delay rate of over five minutes, correlation of delay between preceding train and following train on intermediate and last stations, average train headway, average number of passengers per train, and average seat usages. Types of train delays were separated using the Ward's hierarchical cluster analysis. The criteria for classification of train delay were presented by the Fisher's linear discriminant. The analysis on the situational characteristics of train delays is as follows. If the train headway in last station is short, the probability of chronic delay is high. If the planned running times of train is short, the seriousness of chronic delay is high. The important causes of train delays are short headway of train, shortly planned running times, delays of preceding train, and the excessive number of passengers per train.

• Journal of Home Health Care Nursing
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• v.8 no.2
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• pp.159-170
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• 2001

Client(patient) satisfaction has been used for a variety of purposes in different settings, yet, those receiving home care services have been the focus of few satisfaction studies. Satisfaction is considered an indicator of quality of care and is also being used to assess the performance of home care providers and home health care delivery at multiple levels. The aim of this study was to develop the tool for evaluating client satisfaction in several aspects with home care service while maintaining or achieving acceptable reliability and validity. Firstly, Client Satisfaction Instrument made preliminary of 43 items composed basic 6 criteria and 7 indicators, based on a review of literature, quality improvement and client satisfaction findings in home care. Secondly, there were consisted in two expert panel groups who were made in professionals of research and practice in home care field. The tool was modified to 6 criteria and 7 indicators, 25 items after reviewing by two expert panel groups. The content validity index of the tool was above 0.8 and the results of internal consistency was more than 0.8 in all items. Finally. The Client Satisfaction Instrument in Home Care Service was made up 6 criteria such as client satisfaction of nurses's instruction of home care educational need. knowledge/technique/attitude of homecare nurses's performance. interpersonal relationship and emotional support of nurse. easiness of homecare accessibility, continuity of homecare service. overall efficacy of homecare use, 7 indicators. and 25 items. The results of evaluating client satisfaction will be able to contribute in quality improvement and service marketing in home care.

• 보존과학연구
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• s.33
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• pp.85-97
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• 2012

In this study, reliability assessment was carried out on UV(ultraviolet) indicators for the application of the indicator method on cultural heritages. As a result, some UV indicators(L, K, and M) proved to be unsuitable due to their low reactivity to UV and high reactivity to RH(relative humidity). On the other hand, indicator S showed considerable color changes and fading due to UV-B and UV-C according to the integral amount of UV irradiation. Indicator S showed the most distinct reaction to UV and a remarkable applicability to exhibition light, which are used in museums. Therefore, UV indicator S is an easy and useful monitoring tool for light environment management in cultural- property conservation facilities.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.9
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• pp.2205-2212
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• 2015

The aim of this study was to explore the acceptance factors of IPTV healthcare users as convergence service through experts's opinion. First, this study extracted expected indicators for the acceptance factors from brainstorming and literature review. Based on the expected indicators, the Delphi method was performed in order to explore the suitable acceptance factors. The reliability of collected data was evaluated through the criteria of CV(Coefficient of Variation) and CVR(Contents Validity Ratio) on the selected indicators. The results showed a significant acceptance factors timeliness, the following appeared as entertainment, fun and self-efficacy and more. In the future, such additional step as factor analysis targeting the user to verify the validity of the selected factors is required.

• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.113-136
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• 2009

The purpose of this study is to develop meta evaluating indicators for Defense R&D Programs in Korea. At first, the four components of this meta evaluation model were designed, which are evaluation context, evaluation input, evaluation process, evaluation output. And fifty two indicators were developed for this meta evaluation. Basic model of meta evaluation was derived from the literature review and brain storming. And this meta evaluation model was determined by adapting the result of experts who performed evaluations for Defense R&D Programs in recent years. Factor Analysis method was used to verify the validity of meta evaluation model. The survey of fifty three members turned out that Cronbach' ${\alpha}$ was over 0.6 in evaluation components and items. And the reliability of evaluation context was 0.877, that of evaluation input was 0.755, that of evaluation process was 0.755, that of evaluation output was 0.755 respectively. Analytic Hierarchy Process (AHP) method was used in assigning the evaluation weight. The survey of twenty two members showed that the Consistency Ratio was 0.09 in evaluation components and items.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.40.2-40.2
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• 2021

The impact of AGN on star formation is one of the main questions in AGN-galaxy coevolution studies. However, direct evidence of AGN feedback is still rare. One of the main obstacles is that various star formation rate (SFR) indicators are contaminated by AGN contribution. We present IR-based SFR measurements of a sample of 52 local (z<0.3) AGNs, which were selected based on kinematical properties of ionized gas outflows, using SED analysis with JCMT/SCUBA-2 data. First, we will compare IR-based SFR with other SFR indicators to check the reliability of the SFR indicators. Second, we will discuss the contribution of Mid-IR emission from hot dust of AGN torus by comparing SED fitting results with and without including AGN dust component. Finally, we will report the correlation between specific SFR (sSFR) and AGN activity (e.g., outflow strength or Eddington ratio) as evidence of no instantaneous feedback and discuss the implications of these results

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.1-14
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• 2023

This study is a leading case of empirical analysis of whether, when corporate stakeholders (government, investors, customers, managers, employees) put pressure on companies for ESG management, it affects the introduction and implementation of ESG activities (environmental, social, governance) and affects business performance. As for the research method, a sustainability report was published, and a web survey of Korea Research Inc. was conducted from May 10 to May 20, 2022 targeting ESG management managers of 192 companies, and analyzed through the PLS structural equation model. As a result of the study, it was found that the introduction and execution of ESG is closely influenced by the pressure from the government, investors, managers, and employees, and in particular, the internal pressure of current managers and executives and employees has a great impact on the introduction and implementation of environmental, social, and governance activities. In particular, although external pressure also has some influence, it is practical to suggest that strong internal pressure is necessary for continuous activities and performance. And, methodologically, the main activity indicators of the GRI Reporting Guidelines, which are the most representative ESG management indicators, were developed as a questionnaire, and reliability, validity, and model fit were secured through comparison with indicators of multiple systems and expert reviews. The limitations of this study are that more in-depth analysis by industry or size is possible when ESG management is mature and sufficient samples are secured, and complex ESG pressure factor modeling is possible when more diverse stakeholders are added.

• Journal of The Korean Association For Science Education
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• v.30 no.4
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• pp.472-486
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• 2010

The surveys for public awareness in relation to socio-scientific issues (SSI) have been limited to several topics such as public perception of risks about the issues and preference for some policies. To illuminate the public science culture literacy about SSI from a holistic perspective, this study aimed to develop an indicator system. For this purpose, the issue on climate change, which is currently one of the biggest issues worldwide, was adopted as a specific SSI and the framework centering on climate change was developed. Science culture literacy about SSI was defined as a lifestyle to identify SSI from various viewpoints and to cope with problems related to SSI appropriately. In the framework proposed, individual science culture indicators are divided into Potential and Activity area. The Potential consists of categories of Interest, Opinion and Understanding, whereas the Activity is composed of categories of Learning and Practice. To examine the reliability and validity of this framework statistically, the developed questionnaire was reviewed by science educators, environment experts and atmospheric scientists and was used to asked 777 secondary students. Based on the results of statistical analyses, the framework was modified and it consequently had 2 areas, 5 categories, 15 sub-categories, 34 indicators and 63 items. It is expected that the framework of science culture indicators for SSI could be used as a measurement tool for public awareness about various SSI topics.

• Journal of Korean Library and Information Science Society
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• v.39 no.4
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• pp.51-69
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• 2008

This study tired to develop the web credibility evaluation model by calculating weighted values and sensitivities of indicators which presented on preceding researches using Analytic Hierarchy Process. "Expert Choice 2000" was used as the tool for analysing AHP. 25 experts are answered for this questionnaire who are selected by judgement sampling method, one of the non-probability sampling method. Also, sensitivity analyses was performed to graphically see how the alternatives change with respect to the importance of the indicators or sub-indicators. The main results are summarized as followings; i) importance analysis in first level factors: trust-worthiness(0,606), expertness(0.222), safety(0.173), ii) importance analysis in second level factors: trustfulness (0.519), reputation(0.087), usefulness (0.102), timeliness(0,093), competency(0.027), security(0.115), reliability(0,058). iii) some of the importance analysis in third level factors: the site provides comprehensive information that is attributed to a specific source(0.252), the site has articles that list citations and references(0.153), the site contains user opinions and reviews(0.072), etc. iv) sensitivity analyses showed that the importance of the indicators or sub-indicators are slightly changed with respect to the alternatives change.