• Journal of Information Technology Services
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• v.18 no.5
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• pp.193-207
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• 2019

In recent years, Digital Social Innovation has been emerging at home and abroad and new solutions are being proposed by the perspective of User using digital technology in order to solve social and economic problems of the city. In addition, Living Labs which is an innovative tools and space enable to solve problems doing activities with various participants led by users. Therefore, this study aims to systematically manage the activities of Living Lab in Digital Social Innovation and improves the Living Lab sustainability using the performance indicators which are going to be developed. Furthermore, construct the appropriate indicator of each project process and take test at real Living Labs. As a result, performance indicator was derived from each procedure in the Living Lab project, and proved validity and reliability of the indicators through qualitative and quantitative methods by interviews and the questionnaire from the participants of Living Labs.

• The Journal of Korean Institute for Practical Engineering Education
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• v.4 no.2
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• pp.116-121
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• 2012

One of the most important object in youth employment academy is to resolve the job mismatch of youth unemployment through industry oriented human resource development for which company oriented capacity building program for graduate-to-be and graduate is supported. The major characteristic of this program is to compose a network of operation organization, involved company, involved university and trainee, among those the role of operation organization is most important. The operation organization in youth employment academy is supposed to be evaluated by the last employment rate after 6 months to the day following the programs of the year completion. So performance indicator for the operation organization is needed in selecting the operation organization of the next year youth employment academy, which means a kind of mid-term evaluation. In this research, the concept of development of performance indicator for the operation organization in youth employment academy is introduced and major performance indicator are suggested.

• Journal of Korean Academy of Nursing Administration
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• v.6 no.3
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• pp.357-374
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• 2000

The purpose of this study was to validate knowledge outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 71 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1(indicator is not all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follow: 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Knowledge: Treatment Regimen' attained and OCV score of 0.816 and was the highest OCV score among outcomes. 3. 'Knowledge: Energy Conservation' attained an OCV score of 0.748 and was the lowest OCV score among abuse outcomes. 4. 'Knowledge: Breastfeeding' attained an OCV score of 0.790 and was the highest indicator was 'description of benefits of breastfeeding'. 5. 'Knowledge: Child Safety' attained an OCV score of 0.778 and was the highest indicator was 'demonstration of first aids techniques'. 6. 'Knowledge: Diet' attained an OCV score of 0.779 and was the highest indicator was 'performance of self-monitoring activities'. 7. 'Knowledge: Disease Process' attained an OCV score of 0.815 and was the highest indicator was 'description of signs and symptoms'. 8. 'Knowledge: Health Behaviors' attained an OCV score of 0.800 and was the highest indicator was 'description of safe use of prescription drugs'. 9. 'Knowledge: Health Resources' attained an OCV score of 0.794 and was the highest indicator was 'description of need for follow-up care'. 10. 'Knowledge: Infection Control' attained an OCV score of 0.793 and was the highest indicator was 'description of signs and symptoms'. 11. 'Knowledge: Medication' attained an OCV score of 0.789 and was the highest indicator was 'description of correct administration of medication'. 12. 'Knowledge: Personal Safety' attained an OCV score of 0.804 and was the highest indicator was 'description of measures to reduce risk of accidental injury'. 13. 'Knowledge: Prescribed Activity' attained an OCV score of 0.810 and was the highest indicator was 'proper performance of exercise'. 14. 'Knowledge: Substance Use Control' attained an OCV score of 0.809 and was the highest indicator was 'description of signs of dependence during substance withdrawl'. 15. 'Knowledge: Treatment Procedure(s)' attained an OCV score of 0.795 and was the highest indicator was 'description of appropriate action for complications'. 16. 'Knowledge: Treatment Regimen' attained an OCV score of 0.816 and was the highest indicator was 'description of self-care responsibilities for emergency situations'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.717-725
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• 2020

The purpose of this paper is to highlight the impact of the performance of private wealth management (PWM) on the growth of retail banking in Indonesia. The variables used are bank's competitiveness, risk management, performance of private wealth management, and growth of retail banking business. The data were collected from 60 respondents from 32 banks over five months, from October 2018 to March 2019. Using partial least square path modeling, the analysis shows that the performance of private wealth management has an impact on the growth of retail banking sector in Indonesia. Bank competitiveness and risk management affect the performance of personal wealth management and have an impact on the growth of the retail banking business. Bank competitiveness is the variable that most influences the performance of private wealth management in Indonesia. This research found that market share is the most significant indicator of bank competitiveness. For risk management, significant indicators are the level of bank confidence, increased bank competitiveness, and the creation of new products. In the performance of the private wealth management variable, the most significant indicator is the revenue fee-based income. For the growth of retail banking business, a clear indicator is profit growth.

• International Journal of Quality Innovation
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• v.7 no.1
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• pp.112-127
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• 2006

How to measure Quality Performance (QP) or excellence performance in organizations is very important for improving the quality of an organization's products and services. This paper takes Quality Function Deployment (QFD) as a useful tool to identify the key characteristics of quality performance and measure the influence factors on quality performance. Most national quality awards provide a framework of the criteria to show the essential elements of an organization's quality performance and get the Quality Performance Score (QPS) by self-assessment using the criteria. By means of these criteria, especially, the criteria of China Quality Award (CQA), a measurable indicator system for quality performance is set up. A four-phase QFD model of assessment for quality performance is developed. This QFD model not only presents the most important efforts for the deployment of the measurable indicators of quality performance, but also takes great advantage of evaluating the quality performance and obtaining the quality performance score. The measurable indicator hierarchy of quality performance is formed and its implementation method for assessment quality performance is described in this paper.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.221-228
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• 2012

This paper analyzed twenty-six production-related KPI(Key Performance indicator) factors of business diagnosis, such as personnel, equipment, materials, operations and quality affecting company business competition to 186 small machinery manufacturers in 2010. Also, we explained the concept of Business Positioning and divided research subjects into four Business Positioning Groups formed break-even point ratio & fixed cost ratio to sales and then we compared between the 4 groups using Logistic Regression analysis by SAS statistical software package. The objective of this study is two-fold. The first is to find out production-related KPI factor of superior Business Positioning Group. The second is to suggest improvement ways for small manufacturers in order to get better profitable Business Positioning.

• Nuclear Engineering and Technology
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• v.36 no.6
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• pp.485-496
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• 2004

Typical probabilistic safety assessment (PSA) results were used to estimate the performance indicator (PI) thresholds of unplanned reactor scram (URS) and safety system unavailability (SSU) for Korean nuclear power plants (NPPs). The changes in core damage frequency (${\Delta}$CDFs) of $10^{-6}/yr$, $10^{-5}/yr$, and $10^{-4}/yr$ were adopted as the risk criteria in setting up the PI thresholds. The PI thresholds for the URS were estimated using information pertaining to the initiating event frequencies, the CDF, and the CDF contribution of each initiating event. The PI thresholds of the SSU were estimated using information on the unavailability, the Fussell-Vesely importance, and the CDF.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.125-142
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• 2013

As a reinforcing strategic-alignment of IT business, Financial Service becomes more rely on IT systems. It needs to continuous information security activities to provide a secure and reliable finance service. Performance measurement of information security activities can be useful for decision and management support. The purpose of this study is to derive CSF(Critical Success Factor) and KPI(Key Performance Indicator) based on K-ISMS, Financial IT Information Security Standards. Providing a rationale can be used to determine key performance indicators, which are utilized as basic data for establishing security policies for financial IT security competency.

• Journal of the Korean Society for Railway
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• v.12 no.2
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• pp.315-320
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• 2009

In this paper we presents an approach to evaluating the performance of freight railway stations based on several performance indicators as an alternative to the evaluation based on single indicator. Such evaluation needs a way to weight the importance of the individual performance indicator. Data envelopment analysis (DEA) suggested by Charnes, Cooper, and Rhodes (1978) can be used to determine the weights. Using DEA we evaluate 353 freight railway stations based on four performance indicators: loading volume, unloading volume, loading revenue, unloading revenue. The evaluation results facilitates the organization's decision making by providing valuable information.

• Journal of Energy Engineering
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• v.24 no.3
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• pp.142-149
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• 2015

The aim of this study was to develop a evaluation indicator to collaborative energy saving projects with NGO. We set the indicator based on expert advice, and refer to the preceding case study. The indicator has been set for the purpose of analyzing in planning, execution, performance phase to projects. In planning phase these consist of indicator such as project selection and rating, projects goals and concrete plans, etc; and systematic way of projects promotion, projects management and follow-up, and participation on selected contents, etc in execution phase; and achieve their goals, participant satisfaction, etc in performance phase.