• 대한간호학회지
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• 제40권1호
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• pp.69-77
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• 2010

This methodological research was designed to develop performance evaluation key indicators (PEKIs) for management by objectives (MBO) and to estimate their weights for hospital nurses. Methods: The PEKIs were developed by selecting preliminary indicators from a literature review, examining content validity and identifying their level of importance. Data were collected from November 14, 2007 to February 18, 2008. Data set for importance of indicators was obtained from 464 nurses and weights of PEKIs domain was from 453 nurses, who worked for at least 2 yr in one of three hospitals. Data were analyzed using $X^2$-test, factor analysis, and the Analytical Hierarchy Process. Results: Based upon Content Validity Index of .8 or above, 61 indicators were selected from the 100 preliminary indicators. Finally, 40 PEKIs were developed from the 61 indicators, and categorized into 10 domains. The highest weight of the 10 domains was customer satisfaction, which was followed by patient education, direct nursing care, profit increase, safety management, improvement of nursing quality, completeness of nursing records, enhancing competence of nurses, indirect nursing care, and cost reduction, in that order. Conclusion: PEKIs and their weights can be utilized for impartial evaluation and MBO for hospital nurses. Further research to verify PEKIs would lead to successful implementation of MBO.

• International Journal of Quality Innovation
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• 제9권2호
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• pp.99-117
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• 2008

High-tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high-tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high-tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan's high-tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.

• 한국콘텐츠학회논문지
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• 제14권4호
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• pp.160-167
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• 2014

본 논문의 목적은 가중치 분석을 통해 지역공동형 훈련성과를 효과적으로 점검할 수 있는 평가지표를 개발하는 것이다. 지표를 개발하기 위하여, 1단계에서는 선행연구 분석을 통해 예비지표 목록을 구성하였고, 2단계에서는 전문가 검토를 통해 지표의 적절성과 대표성을 점검하였으며, 3단계에서는 현장 훈련기관 전담자 검토를 통해 지표의 현장 적용 가능성을 파악하였고, 최종 성과 평가지표를 산출하였다. 4단계에서는 최종지표를 바탕으로 가중치 분석을 실시하였다. 연구결과, 협약기업 발굴 및 관리실적 영역(협약기업 참여율, 근로자 훈련참여율 등), 훈련실적 영역(수료율, 취업률 등), 비용효과성 영역(1인당 훈련비용), 만족도 영역(협약기업 만족도, 훈련생 만족도), 지역공동 훈련활성화 영역(지역인적자원개발협의체 운영, 지자체의 인력개발 의지 등)별 지표들을 개발하였다. 가중치는 지역산업의 훈련수요 대응, 협약기업 만족도, 지역인적 자원개발협의체 운영 순으로 높았다. 또한 지역공동형 훈련성과 지표에 대한 지속적인 개선과 분석이 필요하다는 점을 제언하였다.

• 한국경영과학회지
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• 제26권3호
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• pp.21-37
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• 2001

Riding on the wave of the information technology revolution, a slow of internet venture businesses (IVB) came into being. Hence, one of the recent developments in Korean capital market has been the proliferation of IVB, which is in accordance with the worldwide trend of ‘new economy’. Although the fair valuation is crucial for the nourishment of IVB, it is difficult to apply traditional valuation methods to these firms without reservation. It is due to the facts that most venture firms have little records of performance, grow unprecedently fast, and have highly uncertain future. The main purpose of this study is to suggest performance evaluation system of IVB and to develop KPE (Key Performance Indicators). Our empirical study is based upon Kaplan & Norton’s Balance Scorecard (BSC) approach. Specifically, our research has been conducted by the following two subsequent procedures: Firstly, seven internet venture firms have been selected and their executives have been interviewed by FGI(Focus Group Interview) method. Based upon these results, performance indicators have been developed. Secondly, by using the above mentioned BSC items (i.e., financial perspective, customer perspective, internal perspective and innovation & learning perspective), questionnaires have been constructed and sent to IVB through e-mail as well as over the Fax. Among the collected 110 samples, reliable 106 samples have been used to build BSC model and to draw our conclusion. In the future study, it would be much better to consider the role of strategy in IVB and the causal relationship among Key Performance Indicators of BSC.

• 한국건축시공학회지
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• 제11권1호
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• pp.61-72
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• 2011

건설기업의 경영성과는 제각기 다른 프로젝트들의 경영성과 합과 같으므로, 건설 프로젝트 수행에 따른 경영성과 측정은 기업 경쟁력 확보를 위해 필수적이다. 그러나 현재까지 대부분의 연구는 건설 산업 및 기업의 성과 측정과 관련되어 있으며, 개별 프로젝트의 성과 측정을 위한 연구는 여전히 미비한 실정이다. 특히 건축 프로젝트는 발주자, 형태, 사업주체에 따라 다양한 특성을 가지고 있지만, 이러한 구분에 따른 성과지표 선정은 이루어진 바없다. 따라서 본 연구는 건축 프로젝트의 시공 및 시운전 단계에서 공통적으로 경영성과를 측정할 수 있는 지표뿐만 아니라, 프로젝트 특성에 따라 세분화된 분야의 지표를 선정하는 것을 목적으로 한다. 향후 본 연구에서 제시한 지표들은 이를 평가할 수 있는 방법을 개발하고, 실제 건축 프로젝트에 적용하여 정량화된 점수로 산출이 가능할 것이다. 또한 플랜트 및 토목 프로젝트의 경영성과를 측정할 수 있는 지표 선정을 위한 참고자료로 사용될 것으로 사료된다.

• 한국인터넷방송통신학회논문지
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• 제11권2호
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• pp.245-252
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• 2011

VoIP는 IP기반의 네트워크를 통해 음성 통화를 전송하는 Voice over Internet Protocol의 약자로서 최근에는 IP기반으로 음성 이외의 다양한 서비스가 제공되고 있다. 이러한 VoIP서비스의 확대 공급에 따라 VoIP 서비스의 품질관리가 중요한 이슈로 부각되고 있다. 따라서 본 논문에서는 VoIP서비스의 품질관리에 관한 연구를 다룬다. 이를 위하여 본 고에서는 VoIP 기술, 서비스 현황 및 네트워크 구성도를 파악하고 네트워크 사업자 관점이 아닌 고객관점의 VoIP 품질관리를 위한 key quality indicators(KQIs)/key performance indicators(KPIs)를 파악한다. 이를 위하여 일반적인 서비스 품질관리의 개념과 통신관련 서비스 품질관리의 개념에 대해서도 파악한다. 또한 KQIs중 가장 중요하다고 생각되는 품질관리 지표를 선정하여 통계적 품질관리 기법 중 하나인 $\bar{x}$와 R Charts를 이용하여 어떻게 기업에서 품질관리를 할 수 있는지 실제 예를 보여준다.

• Journal of Information Science Theory and Practice
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• 제8권2호
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• pp.55-67
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• 2020

Webometric research in the Russian library sector is just beginning to gain momentum. This article examines the experience of webometric research in libraries from the perspective of the global practice. In particular, it highlights a number of foreign works, which may have a special practical value for Russian libraries, and emphasizes important webometrics areas for libraries. The purpose of this study is to research the practical application of key performance indicators (KPIs) abroad and conduct a webometric analysis of the websites of some leading Siberian and Far Eastern scientific libraries based on selected KPIs. The study data were collected with SimilarWeb and other analytical tools. The study revealed that key traffic metrics are the basis of webometric research, and identified available promising groundwork for the purpose of their further testing. The shortcomings in the current state of the websites of the Siberian and Far Eastern scientific libraries were noted. Based on the obtained webometric traffic indicators, the ranking of the Siberian and Far Eastern scientific libraries was made.

• 한국전자거래학회지
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• 제18권3호
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• pp.125-142
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• 2013

IT비즈니스의 전략적 연계가 강화됨에 따라 금융서비스에서 IT의존도는 높아지고 있다. 안전하고 신뢰된 금융서비스를 제공하기 위해서는 지속적인 정보보호활동을 수행해야 하며, 이에 관한 조직의 정보보호 업무성과 측정은 의사결정 및 경영지원 측면에서 유용하다. 본 논문은 정보보호관리체계(K-ISMS)와 금융IT 부문 정보보호 업무 모범규준의 평가기준을 기반으로 핵심성공요인(CSF, Critical Success Factor)과 핵심성과지표(KPI, Key Performance Indicator)를 도출한다. 이는 정보보호정책 준수에 유의한 영향을 주는 핵심성과지표를 판별하는 논리적 근거를 제공하며, 금융IT 정보보호 역량을 강화하기 위한 정책을 수립하기 위한 기초자료로 활용할 수 있다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.935-941
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• 2009

In competitive society, performance management is an essential element of business success. Despite the importance of performance management, it has not been widely implemented in construction companies. In the recent years, construction companies have become more aware of its need to identify, implement, and sustain performance improvements more systematically. Thus, the objective of this paper is to develop performance management system (PMS) for construction companies. The roles of performance management system is not only measuring performance but also offering guidance to improve performance. Therefore, PMS needs benchmarking process that provides Best Practice and new knowledge. This paper investigates the case of PMSs in UK, USA, Brazil, and Chile and discusses the lessons learned. To overcome the limitations of existing PMSs, new performance measurement framework, in form of 'Construction' BSC, is proposed. Based on the 'Construction' BSC, key performance indicators are derived and methodology of performance management is suggested. This paper concludes by developing PMS for benchmarking in construction companies and recommending some further directions on this research topic.

• 대한산업공학회지
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• 제39권1호
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• pp.1-9
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• 2013

The current manufacturers have generated tremendous amount of digitized product data to efficiently share and exchange it with other stakeholders or various software systems for product development. The digitized product data is a valuable asset for manufacturers, and has a potential to support high level strategic decision makings needed at many stages in product development. However, the lack of studies on extraction of key performance indicators(KPIs) from product data management(PDM) databases has prohibited manufacturers to use the product data to support the decision makings. Therefore this paper examines a possibility of an architecture that supports KPIs for evaluation of product development performances, by applying multidimensional product data model and on-line analytic processing(OLAP) to operational databases of product data management. To validate the architecture, the paper provides a prototype product data management system and OLAP applications that implement the multidimensional product data model and analytic processing.