• Korean Journal of Cognitive Science
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• v.10 no.4
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• pp.63-70
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• 1999

Reconstruction of collision accidents is to analyze the cause of accidents and collision behavior using available information from vehicle accident circumstances. This paper introduces a collision reconstruction system which is developed to be applicable to traffic accident reconstruction. Our System combines both quantitative and qualitative collision models so as to compensate for weaknesses in each with strengths of each other. I It provides accurate predictions and causal explanations of the collision behavior. During r reverse analysis of collision. qualitative simulation is used to verify a hypothesis and to detect any conflict in early stage of reconstruction. It is implemented and applied to real car-to-car collision accidents. The test results verify the reliabilities of our techniques.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.593-601
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• 2013

We often need to include categorial variables as explanatory variables in regression models. The categorial variables in regression models can be quantified through dummy variables. In this study, we provide an education tool using Excel VBA for displaying regression lines along with test results for regression models with a continuous explanatory variable and one or two categorical explanatory variables. The regression lines with test results are provided step by step for the model(s) with interaction(s), the model(s) without interaction(s) but with dummy variables, and the model without dummy variable(s). With this tool, we can easily understand the meaning of dummy variables and interaction effect through graphics and further decide which model is more suited to the data on hand.

• Journal of the Korea Society for Simulation
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• v.22 no.2
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• pp.85-91
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• 2013

Smart phones become essential goods for our life. As the technology are developing, and the market becomes saturated, it is important to understand the determinants affecting purchase of smart phones. In this paper, to understand these determinants factor analysis and binary logistics regression is used. Toward this, we first define the determinants into 3 categories: customer satisfaction, switching barrier, and switching attractiveness based on literature review. Furthermore, we develop 9 hypotheses to test with survey data using factor analysis and binary logistics regression. The results show that the six factors (data quality, price satisfaction, corporate image, the burden of new contract, attraction of devices and attraction of other competitors) are significant when customers buy smart phones.

• The Korean Journal of Financial Management
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• v.16 no.2
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• pp.91-118
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• 1999

본(本) 연구(硏究)는 기업(企業)의 소유구조(所有構造)와 기업가치(企業價値) 사이의 관계를 분석하여 횡단면(橫斷面) 요인(要因)과 시계열(時系列) 요인(要因)을 결합하는 이론적(理論的) 모형(模型)을 제시하며, 또한 제시된 모형(模型)을 한국증권시장(韓國證券市場)의 자료(資料)를 이용하여 실증적(實證的)으로 분석하여 절충가설이 우리나라 기업에 적용될 수 있는지를 검토하였다. 본(本) 연구(硏究)에서는 기업가치(企業價値)를 나타내는 대용변수(代用變數)로 시장가치 대 장부가치비율을, 독립변수(獨立變數)로는 대주주 1인 지분율을 그리고 통제변수(統制變數)로는 광고비 정도, 기업규모, 재무레버리지, 30대 재벌 비재벌의 가변수(假變數)를 사용하였다. 실증분석 결과 본(本) 연구(硏究)에서 제시된 모형이 상당한 의미를 가지나, 모형(模型)의 설명력(說明力)은 비교적 낮아 본(本) 연구(硏究)에서 제시된 설명변수(說明變數)들이 자본구조(資本構造)의 변동(變動)을 8%정도 설명하고 있다. 또한 본(本) 연구(硏究)에서 제시된 독립변수 대주주 1인의 지분율과 이를 제곱한 것은 통계적으로 의미가 있는 변수가 되고 있다. 이는 대주주 1인의 지분율과 기업가치(企業價値) 사이에는 곡선관계(曲線關係)가 존재한다는 절충가설(折衷假說)을 지지하는 강력한 증거이다. 그리고 본(本) 연구(硏究)에서 제시된 통제변수(統制變數)인 광고비 정도, 기업규모, 재무레버리지 그리고 30대 재벌 비재벌 가변수(假變數) 등은 기업가치(機業價値)를 결정하는 통계적인 의미를 갖는 변수로 밝혀졌으며 회귀계수(回歸係數)의 부호도 기대하였던 바와 일치하고 있다.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.402-410
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• 2020

It is very important for Academic purpose Korean leaner to understand main ideas and overall context of texts. In order to understand the overall context and mail ideas of text, learners need output task, ways to perform what they are learning, such as retelling. That would help them to realize that there is a gap between what they have understood and what they can actually speak or write. These out activities help learners comprehend the text more efficiently, while at the same time raising their confidence level. The purpose of this study was to develop an education plan to improve reading comprehension ability by using retelling activity. To achieve the purpose of the study, retelling activity, which makes it easier to take an integrated approach to language function and is considered to be relatively effective, was utilized because of the characteristics of retelling activity education instead of teacher-centered education methods.

• Science of Emotion and Sensibility
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• v.20 no.2
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• pp.149-160
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• 2017

In hypothesis testing, the interpretation of a statistic obtained from the data analysis relies on a probabilistic distribution of the statistic constructed according to several statistical theories. For instance, the statistical significance of a mean difference between experimental conditions is determined according to a probabilistic distribution of the mean differences (e.g., Student's t) constructed under several theoretical assumptions for population characteristics. The present study explored the logic and advantages of random-resampling approach for analyzing event-related potentials (ERPs) where a hypothesis is tested according to the distribution of empirical statistics that is constructed based on randomly resampled dataset of real measures rather than a theoretical distribution of the statistics. To motivate ERP researchers' understanding of the random-resampling approach, the present study further introduced a specific example of data analyses where a random-permutation procedure was applied according to the random-resampling principle, as well as discussing several cautions ahead of its practical application to ERP data analyses.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1075-1083
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• 2009

The scientific research method went through construction of hypothesis and collection of data by experiment or observation and abstracting the hypothesis based on the experience which uses the data. The statistical methodology plays an important role in this process. The method which acquires a data becomes an initial process of abstraction and a survey research using structured questionnaires is a basic tool. After the data is acquired, the high-class statistical techniques such as the regression analysis and the linear structural equation model are used to abstract a hypothesis. By the way, from time to time the concepts which have become abstractive do not help us to understand an actual phenomena, rather it is need to extract some knowledge from questions themselves. In this article, we review the well known statistical methods providing the ways of finding core questions which possibly answer a researcher wants to know. We deal with course evaluation data as an example and try to set up the strategy for improving course evaluation.

• Information Systems Review
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• v.18 no.1
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• pp.1-23
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• 2016

This study proposes an alternative to minimize insider-caused security threats that are relatively difficult to control and cause high uncertainty in information security management. Therefore, we investigate the relationship between organizational effort and the security understanding of employees to eventually enhance security compliance intention among employees. We develop a research model and formulate hypotheses on the basis of past findings. Accomplished questionnaires are collected from 526 employees working in organizations where information security policy is being implemented. In addition, we prove the hypotheses using a structural model. After reviewing the structural model, the security knowledge of employees and information security culture are determined to positively influence the security compliance intention of employees. Moreover, top management support, security policy, security visibility, and security education programs are proven to be antecedent factors in establishing a security culture in organizations. The findings of this study could guide organizations in formulating information security strategies to enhance the security compliance intention of employees.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.455-462
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• 2015

This paper examines the effect of corporate social responsosibility(CSR) on the firm value. Based on the argument that CSR would play the role of mitigating conflicts between firms and society, I hypothesized that CSR would enhance the firm value. This study used regression analysis with a data set of 733 from 2009 to 2012 using KEJI(Korean Economic Justice Institute) Index. An Index published by KEJI was used as the measure of CSR performance. The results of this study are summarized as follows: First, there is a significant positive relation between CSR and firm value. Second, in the seven-rating items consist of the KEJI Index, most items have the positive relationship with the firm value. These results suggest that firm with higher CSR activities exhibit better financial performance as measured by Tobin's Q.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.261-272
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• 2021

With diffusion of Smart Work, a problem has been raised that Smart Work makes the boundary between work and nonwork blur, and may cause technostress. In order to find out whether Smart work copes with techno-invasion stress in work domain, we need to understand the precedence factors influencing on job satisfaction and the role of boundary management strategy which Smart Workers actively choose. This paper developed a research model containing a causal relationship among four factors, nonwork-to-work interference, job autonomy, job commitment, and job satisfaction, and the moderation effect of boundary management strategy. The findings show that overall hypotheses were accepted based on the pooled data, but three hypotheses test on job satisfaction by boundary management strategy type differed. These results suggest that in accordance with the boundary management strategy of Smart Work users, different change management need to be prepared.