• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.67-75
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• 2018

We sought to develop a multi-dimensional tool for measuring and understanding nurse fatigue. The participants were 301 nurses working in four hospitals in Seoul, South Korea. Basic items were developed after a preliminary literature review, and content validity was verified by a group of experts. The first 52 items from which the fatigue measurement tool was to be developed were tested for construct validity and were reduced via factor analysis to 31 items. Following a confirmatory factor analysis, the items were further reduced to 23 items in three categories: physical, mental, and emotional. A confirmatory factor analysis found the items to be adequate. The fatigue scale was found to have high construct validity and reliability. This scale is expected to serve as a preliminary data-gathering tool to assess the level of nurse fatigue and to develop interventions to alleviate it.

• The KIPS Transactions:PartD
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• v.9D no.4
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• pp.613-618
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• 2002

The component-based development methodology becomes famous as the new technology for reuse. That technology can help us easily develop a complex and large system by composing reusable components in short period with high-quality and low-cost. The component-based system nay be developed by composing more than one component. So, the quality of component-based system is determined by individual component duality. Therefore, it is necessary to measure individual component quality for the improvement in quality of component-based system. Hence, in this paper, we propose new component metrics for measuring the cohesion as relationship between classes and interfaces or among classes. Those can be applied in the early stage of software development life cycle. So, we can measure the functional cohesion of component which will be developed. Predicting functional independence of a component, we expect to reduce the software developing cost & effort and improve software quality by reusing a component.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.5
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• pp.29-43
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• 2016

The Lean Startup, a methodology for minimizing failure rate of startups, has been receiving attention since its publication in 2011. Although it has been receiving enormous attention as an effective methodology of startups' growth and the emergence of unicorn companies, it is undeniable that the theoretical research and cases on this topic have not been fully accumulated in Korea. Progress of management theory has been made when combining the theory and case studies. In this paper, we thus excavated the 'Cardoc' case, which has applied the lean startup concept to the entire process of service and customer development from the inception of its product design. The following are the findings of the case. First, for the successful application of lean startup, it is essential that all team members to understand the lean startup concept and are willing to apply it thoroughly to the business management. Second, the prompt launching of MVP(Minimum Viable Product) is more important than table discussion. Third, it is crucial to select the appropriate key metrics and analytic tools for effective learning. Fourth, startup must scale up promptly as soon as it verifies the product-market fit through the BML(Build-Measure-Learn) iteration cycle. Fifth, all new business expansion should be lean. Cardoc is currently testing new MVPs in order to move onto the next scale-up process with huge investments in newly added segments. This study is meaningful in that it elaborates the representative case of a Korean startup that has applied the lean startup strategy under the circumstance of insufficient discussion of Korean startup cases in comparison with growing attention both in concept development and case accumulation abroad. We hope that this paper can be a stepping stone for future relevant research on the implementation of lean startup methodology in Korea.

• Trans-
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• v.7
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• pp.49-80
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• 2019

As ageing society rapidly unfolds, it is becoming an even more important issue to secure wellbeing and happiness of senior citizens and the society as a whole. Growing talks on how culture and art positively affect the elderly led to more demands from the public on culture and art institutions to increase their social participations. Art museums too, as an art and cultural institution and a social education entity, are requested to play a bigger role in the effort to tackle the concerns derived from the ageing society. Korean art museums came up with senior programs since 2000, which makes it a relatively recent phenomenon. The consensus on the importance and needs of such programs has been around for a while in our society. However, effect measurement of these programs needs further research and discussion. This thesis examined the effect of senior programs using the Museum Wellbeing Measures Toolkit published in 2013. With the service quality research model, correlations were analyzed among program components, wellbeing effect, participant satisfaction and their willingness to re-enroll in order to produce a practical guidance on how to plan and operate the programs. To measure effect of senior programs and to analyze influencing factors would provide us with important data to prove the social responsibility and benefit art museums offer in our society. At the same time, such researches would contribute to enhancing the quality of current programs run by museums and give methodological suggestions on how to assess and improve senior programs.

• Information Systems Review
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• v.8 no.1
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• pp.203-222
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• 2006

The chronic problems of Information System Outsourcing Development Project include frequent changes in the participants and their roles, and the evasion of project participation, which exert unfavorable influence to the outcome of the project. Such problems are due, in large part, to the low level of project participants' satisfaction in the project. However, little is known about the factors that influence project participants' satisfaction in the project development. This research identifies six potential factors such as project commitment, workload, control, communication within the organization, inter-organization communication, and system development methodology based on PMI(Project Management Institute) and empirically examines their efficacy in explaining the level of participants' satisfaction in the IS development projects based on data from 390 participants in 66 projects. The results indicate that the six factors are strong determinants of participants' satisfaction in system development projects. In other words, the level of satisfaction among project participants overall are largely influenced by project commitment and control, communication, project methodology. Especially, the results reveal that the level of satisfaction among participants from the vendor decreased largely by unrealistic project commitment, frequent changes in project planning and unreasonable control rather than by a significant amount of workload. In conclusion, there need to be a rational approach and solution based on the six factors presented in this research in order to increase participation satisfaction level of the project participants and ultimately enhance project outcome.

• Journal of Korean Society of Transportation
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• v.33 no.4
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• pp.323-336
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• 2015

Estimating the risks on the roadway using surrogate safety measures (SSM) has an advantage in that it focuses on the vehicle trajectory directly involved in conflicts. On the other hand, there is a restriction on estimating the risks of continuous segments due to the limited data collected from a location. To overcome the restriction, this study presents the scheme of acquiring the vehicular trajectory using real time kinematics-differential global positioning system (RTK-DGPS) and develops a methodology which contains the considerations of the problems to calculate the SSM such as time-to-collision (TTC), deceleration rate to avoid collision (DRAC) and acceleration noise (AN). By using the methodology, this study shows a result from an experiment executed in a section where the variation of vehicular movement can be observed from several continuous flow roadway sections near Seoul and Gyeonggi Province in Korea. The result illustrated the risks on the roadway by the SSM metrics in certain situations like merging and diverging, stop-and-go, and weaving. This study would be applied to relate the dangers with characteristics of drivers and roadway sections, and prevenst accidents or conflicts by detecting dangerous roadway sections and drivers' behaviors. This study contributes to improving roadway safety and reducing car-accidents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6360-6367
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• 2015

The location selection of the element that should guarantee easy visual perception, like the landmark, is the a topic that appears much in the design process. Recently, a graph analysis technique using computers has been applied in order to evaluate the visibility of the visual element, but the analytic frame is flat and the setting of the visual pont and the matrix are fixed so there were great limitations in obtaining the results of the practical analysis. Thus, this study presented Nondirectional Multi-Dimensional Calculation (MDVC-N), an analytic methodology available for the analysis of the dynamic visual point in the 3D environment. It thus attempted to establish the analytic application using the 3D computer graphics technology and designed a script structure to set the visual point and the matrix. In addition to that, this study tried to verify the analytic methodology by applying the complex land as an example model, where buildings in various heights of terrains with a high-differences are located, verifying the same analytic methodology. It thus tried to identify the visual characteristics of each alternative location. The following results were gained from the study. 1) The visibility can be measured quantitatively trough the application of the 6-alternatives. 2) Using the 3dimensional graph, intuitive analysis was possible. 3) It attempted to improve the analytic applicability by calculating the results corrected as a variable behavior from the local integration variable of the space syntax.

• Korean Journal of Comparative Education
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• v.28 no.1
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• pp.135-151
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• 2018

This study was conducted to help establish the status of comparative education as an academic discipline by investigating its relationship with educational evaluation. Comparative education as a subfield of education covers other areas of study in education, while educational evaluation is a study of methodology. First, international comparative study was investigated, and recent methodologies in educational evaluation were introduced. International comparative study started in 1960's, and is being expanded. The participating countries hope for better education by comparing their educational curricula and practices with others. For international comparative studies, a differential item functioning analysis as a multigroup analysis can provide information on what sociocultural factors other than the construct are affecting the measurement results. The study dataset has a hierarchical structure so that multilevel item response theory is suitable to obtain multidimensional national profiles. Although there have been methodological advances in educational evaluation, the methods are not available in comparative education. In order to reduce the gap, scholars in educational evaluation should try to make the methods easily available, while those in comparative education should try to use the exact and precise methods in their studies.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.237-244
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• 2006

시맨틱 웹 관련연구가 증가함에 따라 하나의 관련분야로 규칙기반 시스템 동의 지능적인 웹 환경에 대한 기대 역시 커지고 있다. 하지만 규칙기반 시스템을 활용하기에는 아직도 규칙습득이 많은 제약이 되고 있다. 규칙습득은 웹으로부터 필요한 규칙을 습득하는 일련의 방법인데, 이러한 규칙을 습득하기 위해서는 규칙구성요소를 먼저 식별해야만 한다. 그러나 이러한 규칙을 식별하는 작업은 대부분 지식관리자의 수작업에 의해 이루어지고 있다. 본 연구의 목적은 웹으로부터 규칙구성요소 식별을 최대한 자동화하고 지식관리자의 수작업을 최소화함으로써 그 부담을 줄여 주는 데 있다. 이러한 방법으로는 온톨로지를 근간으로 하여 웹 페이지와의 문자열 비교, 이러한 비교의 한계를 극복하기 위한 확장등의 방법이 있다. 첫 번째 방법은 온툴로지 기반으로 규칙식별 할 웹 페이지와 비교를 통해 지식관리자의 규칙식별 과정을 최대한 자동화하여 주는 것이다. 여기서 만약 현재 규칙을 식별하고자 하는 웹 사이트와 유사한 시스템의 규칙들을 활용하여 일반화 된 온툴로지가 구축되었다면, 이 온톨로지를 기반으로 규칙을 식별하고자 하는 웹사이트와의 비교를 통해 규칙구성요소를 자동화하여 추출 할 수 있다. 이러한 온툴로지를 기반으로 규칙을 식별하기 위해서는 문자열 비교 기법을 사용하게 된다. 하지만 단순한 문자열 비교 기법만으로는 규칙을 식별하는 데에 자연어 처리에 대한 한계가 있다. 이를 극복하기 위해 다음의 두 번째 방법을 사용하고자 한다. 두 번째 방법은 정형화되지 않은 정보들을 확장하여 사용하는 것이다. 우선 찾고자 하는 단어들의 원형을 찾기 위한 스테밍 알고리즘 기법, WordNet을 이용하여 동의어 유의어등으로 확장을 하는 WordNet Expansion 기법, 의미 유사도를 측정하기 위한 방법인 Semantic Similarity Measure 등을 단계적으로 수행하여 자동화되고 정확한 규칙식별을 하고자 한다. 이러한 방법들의 조합으로 인하여 규칙구성요소 추출이 되지 않을 후보 단어들의 수를 줄여서 보다 더 정확하고, 지능적인 규칙구성요소 추출 방법론을 제시하고 구현하여 지식관리자의 규칙습득에 대한 부담을 줄여 주고자 한다.

• Information Systems Review
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• v.21 no.1
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• pp.23-38
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• 2019

The social network service (SNS) is one of the important marketing channels, so many companies actively exploit SNSs by posting SNS messages with appropriate content and style for their customers. In this paper, we focused on the psychological distances embedded in the SNS messages and developed a method to measure the psychological distance in SNS message by mixing a traditional content analysis, natural language processing (NLP), and machine learning. Through a traditional content analysis by human coding, the psychological distance was extracted from the SNS message, and these coding results were used for input data for NLP and machine learning. With NLP, word embedding was executed and Bag of Word was created. The Support Vector Machine, one of machine learning techniques was performed to train and test the psychological distance in SNS message. As a result, sensitivity and precision of SVM prediction were significantly low because of the extreme skewness of dataset. We improved the performance of SVM by balancing the ratio of data by upsampling technique and using data coded with the same value in first content analysis. All performance index was more than 70%, which showed that psychological distance can be measured well.