• Journal of Gifted/Talented Education
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• v.24 no.6
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• pp.961-974
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• 2014

We analyzed the relationship between the brain Dominance and the scientific creative problem solving utilizing propensity to target Science-Gifted Student (n=159). Brain dominance is divided into left upper brain (LUB), left lower brain (LLB), right lower brain (RLB), and right upper brain (RUB). Creative problem solving skill in science included validity, scientific characteristics, sophistication, originality, and fluency. Analysis of the results of this study showed a high frequency among the four types of the brain dominance is the highest score of LUB in science gifted group. This point was found that the tendency of the analytical and critical thinking that is characteristic of the LUB is strong scientific gifted group. When total sample was divided into high and low groups by scientific creative problem solving scores, in the analysis of the brain dominance score difference between the two groups of students who take advantage of the results of score RUB is compared to the high fluency group score higher than the low group found (p<0.05). The analysis of the correlation between brain dominance and scientific creative problem solving showed that originality and fluency had statistically significant correlation with RUB propensity score (p<0.05). This result suggests that the imaginative and challenging RUB propensity may be related to produce many and original ideas in scientific creative problem solving.

• Journal of the Korean Society of Earth Science Education
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• v.9 no.3
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• pp.276-291
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• 2016

This study is to develop a valid and reliable instrument for measuring students' creative engineering problem solving propensity. The creative engineering problem solving is operationally defined in this study as a creative problem solving skill in an engineering context. To develop the instrument, first we define seven common constructs between engineering problem solving skill and creative problem solving skill through an intensive literature review; motivation, context, personal character, engineering design, engienering habits of mind, understandings of engineering and engineers, communication skill, and collaboration skill. Based on the seven constructs and the face validity test conducted by two in-service science teachers and 4 experts in science education research, 40 preliminary items were developed. Then the preliminary instrument was implemented in a science gifted highschool to measure the reliability of the instrument. From the 40 items, 34 items were selected through the initial reliability test by Cronbach's ${\alpha}$(>.75). Finally through the three times of factor analysis process, 28 items in five construct categories were selected; motivation (3 items), engineering design (6 items), engineering habits of mind (9 items), understandings of engineering and engineers (4 items), communication and collaboration skill (6 items). The factor analysis result showed that the reliability of each construct category was between .733 to .892., meaning that the instrument is reliable in terms of the higher structural validity (each item is categorized in an appropriate construct category). We expect that the creative engineering problem solving propensity instrument developed in this study can be used in various contexts for STEAM education research as a reliable and valid instrument.

• The KIPS Transactions:PartD
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• v.16D no.6
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• pp.851-858
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• 2009

Mobbing is not restricted to problem of young people but the bigger recent problem occurs in workspaces. According to reports of ILO and domestic case mobbing in the workplace is increasing more and more numerically from 9.1%('03) to 30.7%('08). These mobbing brings personal and social losses. The proposed algorithm makes it possible to grasp not only current mobbing victims but also potential mobbing victims through user profile and contribute to efficient personnel management. This paper extracts user profile related to mobbing, in a way of selecting seven factors and fifty attributes that are related to this matter. Next, expressing extracting factors as '1' if they are related me or not '0'. And apply similarity function to attributes summation included in factors to calculate similarity between the users. Third, calculate optimizing weight choosing factors included attributes by applying neural network algorithm of SPSS Clementine and through this summation Mobbing-Value(MV) can be calculated . Finally by mapping MV of online social network users to G2 mobbing propensity classification model(4 Groups; Ideal Group of the online social network, Bullies, Aggressive victims, Victims) which is designed in this paper, can grasp mobbing propensity of users, which will contribute to efficient personnel management.

• KDI Journal of Economic Policy
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• v.33 no.4
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• pp.1-25
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• 2011

Available evidence suggests that the average marginal propensity to consume (MPC) from the 2001 tax rebate in the US was not nearly as large as that from previous tax cuts. We examine if this phenomenon can be explained by the fact that the widespread use of credit cards has made borrowing accessible for most US households by constructing a model that simulates the dynamic effect of relaxed borrowing constraints. Our model uses Kreps-Porteus preferences which account for independent measures of relative risk aversion and the elasticity of intertemporal substitution, both of which can theoretically affect the willingness to save or spend. Our model shows that the average MPC drops substantially immediately after borrowing constraints are relaxed because few consumers have binding borrowing constraints at that time. The model also shows that consumers gradually reduce their wealth after borrowing constraints are relaxed, causing more of them to have binding constraints over time, which in turn causes the average MPC to rise gradually to a new steady state value that is slightly lower than the original value. This dynamic pattern of the MPC suggests that a greater ability to borrow with credit cards could explain the lower effectiveness of the 2001 tax rebate. In addition, the model predicts that consumers choose to hold lower amounts of liquid assets for precautionary reasons when they have a greater ability to borrow unsecured debt.

• The Journal of Information Systems
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• v.25 no.1
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• pp.49-73
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• 2016

Purpose Though many information systems researchers have made various attempts to investigate the relationship between information technology capability and firm performance from diverse perspectives, we have not come to a conclusion yet with some mixed results. In this research, focusing on the adoption of Enterprise Resource Planning (ERP) systems by firms as a proxy measure for information technology capability, we reexamine whether the association is significantly positive. Design/methodology/approach Previous research on this topic had some limitations to the samples and analysis method. Some research focused only on the 1990s or early 2000s, and other studies failed to adequately compare the impact of ERP adoption on firm performance between the treatment group and the control group. In this research, extending previous analysis approaches with the matched sample comparison of IT leaders and the control group, we attempt to apply propensity score matching in combination with difference-in-difference analysis with a sample of Korean firms that adopted ERP systems in the late 2000s. We match ERP adopters and non-adopters with propensity score matching and compare their financial performance with difference-in-difference estimation between the pre- and post-adoption periods. Findings According to our analysis, we find no positive and significant relationship between ERP adoption and firm performance in profit ratios. This research shows that, contrary to the era of proprietary information systems, standardized information systems today have no additional competitive advantages over competitors.

• KDI Journal of Economic Policy
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• v.34 no.3
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• pp.133-186
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• 2012

This paper analyzes the effectiveness of social networks in finding jobs and estimates the value of job search network using the Korean Laber and Income Panel Study (KLIPS) dataset and utilizing the Difference-in-Difference Propensity Score Matching (PSM) methodology (Heckman et al., 1997). While the wide use of social networks in the Korean labor market is often perceived as 'nepotism,' this study confirms that social networks, by serving as an effective information transmitter between job search and recruitment, make a significant contribution to improving the adequacy of job matching in the domestic labor market. In order to verify the effectiveness of using social networks for getting jobs, this study looks into the cases of labor turnover using social networks and also not using it. In the aspect of individual satisfaction improvement relating to workplace and job duties, both cases of turnover turn out to experience an increased satisfaction by 2~3 points (on a 100-score scale). Meanwhile, as for the educational and technical adequacy improvement, no positive effects are found in the case of turnover without social networks, whereas the educational and technical adequacy improvement turns out to increase by 2.13 and 2.52 points, respectively, in the case of turnover using social networks. The effect of income increase through turnover using social networks registered 40,074 Korean won per month (as of 2010), which can be considered as the result from the improved educational and technical adequacy. Of all things being considered, the value of job search network per wage worker in the Korean society is estimated to be 18.72 million won in terms of life-cycle wage improvement, and 758.2 scores in terms of the improvement of working life satisfaction. Provided that the cash value of satisfaction score 1 is equivalent to 'n' times 10,000 won, the aggregate value of job search network is estimated to be 18.72+7.582n million won, which means the total amount of costs that a wage worker in the Korean society willingly pays to maintain and manage job networks for lifetime.

• The Korean journal of internal medicine
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• v.33 no.6
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• pp.1111-1118
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• 2018

Background/Aims: Chest pain is an essential symptom in the diagnosis of acute coronary syndrome (ACS). One-third of patients with ACS present atypically, which can influence their receiving timely lifesaving therapy. Methods: A total of 617 NSTEMI patients from the Korea Acute MI Registry (KAMIR) and the Korea Working Group on MI (KorMI) databases were analyzed. The study population was divided into two groups by symptoms at presentation (typical symptoms group, 128; atypical symptoms groups, 128). Results: In this study population, 23% of patients presented without chest pain. After propensity score matching, the contact-to-device time ($2,618{\pm}381minutes$ vs. $1,739{\pm}241minutes$, p = 0.050), the symptoms-to-balloon time ($3,426{\pm}389minutes$ vs. $2,366{\pm}255minutes$, p = 0.024), and the door-to-balloon time ($2,339{\pm}380minutes$ vs. $1,544{\pm}244minutes$, p = 0.002) were significantly higher in the patients with atypical symptoms than in those with typical symptoms, respectively. Atypical symptoms were an independent predictor for 1-year mortality (hazard ratio, 2.820; 95% confidence interval, 1.058 to 7.515; p = 0.038). The Kaplan-Meier estimates showed higher risk for 12-month mortality in patients with atypical symptoms (p = 0.048) and no significant difference for 12-month major adverse cardiac events (p = 0.487). Conclusions: Acute myocardial infarction patients with atypical symptoms were not rare in clinical practice and showed a high risk of delayed reperfusion therapy. After imbalance between the groups was minimized by use of propensity score matching, patients who presented atypically had a high mortality rate.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.75-87
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• 2018

This study is to identify the structural relationships among undergraduates' individual characteristics(need for achievement, risk-taking propensity), startup education, startup-relevant knowledge and the entrepreneurial intentions. The mediating variables examined were startup education and startup-relevant knowledge. In results, the higher need for achievement the undergraduates get, as the individual characteristics of college students, the more active the entrepreneurial education is to receive. Students with a risk-taking propensity have a positive influence on their knowledge of entrepreneurship and expect to acquire any knowledge of entrepreneurship even if they are not actively receiving entrepreneurial education. However, risk-taking propensity showed that entrepreneurship education and need for achievement had no effect on entrepreneurial knowledge. On the other hand, entrepreneurship education itself shows that it can be a driving force to promote entrepreneurship. In addition, since entrepreneurship education positively affects the entrepreneurial will with the knowledge of entrepreneurship as a parameter, it is necessary for the students to increase entrepreneurial will by getting entrepreneurship education and improving the knowledge about entrepreneurship. In order to do this, the school should formalize regular business start-up education and acquire business startup-relevant knowledge. Therefore, although the individual characteristics of college students influence the will to start a business, it is necessary to find out the will and opportunity of the startup by implementing and acquiring the startup education and startup-relevant knowledge. In this study, some of the universities in the specific area have been studying on the startup education. However, the future study should be conducted on the schools that have startup education nationwide.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.139-148
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• 2019

Fostering science-gifted individuals are very important for the future of the nation, and it is especially important to cultivate information-gifted individuals in the age of the fourth industry. There is no standardized curriculum for each gifted education center of the University. Therefore, in this study, we analyzed how effective the curriculum developed on the basis of computing thinking is to affect the characteristics of the information-gifted individuals. The curriculum developed on the components of computing thinking was applied to the information-gifted students of K University. In order to verify the effectiveness of the curriculum, we developed a creative personality test and an intrinsic motivation test, and conducted tests before and after the training. We compared pre-post test results by t-test with R program. The creative personality test consisted of 36 items with 6 factors: risk-taking, self - acceptance, curiosity, humor, dominance, and autonomy. The intrinsic motivation test consisted of 20 items with 5 items: curiosity and interest oriented tendency, challenging learning task preference orientation, independent judgment dependency propensity, independent mastery propensity, and internal criterion propensity. The effect of the curriculum on the creative personality of the experimental group was significant (0.009, 0.05). The significance level of the intrinsic motivation was 0.056 and was not significant at the 0.05 level of significance.

• The Korean Journal of Applied Statistics
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• v.32 no.2
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• pp.173-185
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• 2019

Causal questions are prevalent in scientific research, for example, how effective a treatment was for preventing an infectious disease, how much a policy increased utility, or which advertisement would give the highest click rate for a given customer. Causal inference theory in statistics interprets those questions as inferring the effect of a given intervention (treatment or policy) in the data generating process. Causal inference has been used in medicine, public health, and economics; in addition, it has received recent attention as a tool for data-driven decision making processes. Many recent datasets are observational, rather than experimental, which makes the causal inference theory more complex. This review introduces key concepts and recent trends of statistical causal inference in observational studies. We first introduce the Neyman-Rubin's potential outcome framework to formularize from causal questions to average treatment effects as well as discuss popular methods to estimate treatment effects such as propensity score approaches and regression approaches. For recent trends, we briefly discuss (1) conditional (heterogeneous) treatment effects and machine learning-based approaches, (2) curse of dimensionality on the estimation of treatment effect and its remedies, and (3) Pearl's structural causal model to deal with more complex causal relationships and its connection to the Neyman-Rubin's potential outcome model.