• Journal of Digital Convergence
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• v.17 no.11
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• pp.387-394
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• 2019

The purpose of this study was to identify the moderated effects of emotional intelligence on the relationship between transition shock and adaptation on clinical practice among nursing students. Subjects were 185 associate nursing students associate nursing students(3rd). The data were collected using self -report questionnaire from May 1 to June 14, 2019. Data were analyzed by descriptive statistics, t-test, ANOVA, Pearson correlation and hierarchical multiple regression with SPSS/WIN 23.0. Mean point of transition shock(4 point scale) was 2.32. Mean point of emotional intelligence(5 point scale) was 3.61, and adaptation on clinical practice(5 point scale) was 3.40. Transition shock were significantly negative correlation with emotional intelligence(r=-.26. p <.001) and adaptation on clinical practice(r=-.43. p <.001) in nursing students. Emotional intelligence were significantly positive correlation with adaptation on clinical practice(r=.36. p <.001). Emotional intelligence has been shown to modulate the relationship between transition shock shock and adaptation on clinical practice(${\Delta}R^2=0.21$, p <.001). Therefore, to decrease the transition shock and to increase the adaptation on clinical practice of nursing students, It is necessary to develop the program for increase emotional intelligence of nursing students.

• The Korean Journal of Applied Statistics
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• v.27 no.1
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• pp.123-132
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• 2014

Inflation uncertainty is known to have deleterious effects on facilities investment by disturbing the corporate decision on the opportunity cost of investment. In this paper, we test the validity of this hypothesis in Korea by estimating the inflation uncertainty with both a time-varing parameter model with GARCH disturbances and the relative price volatility and then, estimate the facilities investment equation which includes those uncertainty indicators. The uncertainty indexes estimated by the above-mentioned methods continue to fluctuate even after the inflation rate has dropped dramatically reflecting the structural changes of Korea's economy since the financial crisis in 1997. As a result of estimation of the investment equation by both OLS and GMM, we find the inflation uncertainty has a negative effect on facilities investment with a statistical significance. Moreover, by means of Markov-switching regression model utilized to verify the non-linearity of this relationship, we draw a conclusion that this negative effect of inflation uncertainty heightens asymmetrically during the downturn periods of business cycle.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.287-300
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• 2021

The purpose of this study is to verify the influence relationship of digitally converted services on consumers' intention to use since traditional services are being converted to digital services due to technological development and increase in non-face-to-face services. The study consisted of a program development procedure and a program effectiveness verification procedure, and bootstrapping was performed to verify the mediating effect adjusted along with multiple regression analysis. The subjects of this study were 323 university (graduate) students and the general public residing in Korea. Results. First, it was found that the three perceived interaction factors (perceived communication, perceived control, and perceived reactivity) of digital transformed services had a positive effect on perceived usefulness and perceived ease of use, respectively. Second, the relationship of influence of technology acceptance intention was verified. Third, it was confirmed that the effect of the three perceived interaction factors of digital transformed services on intention to use was mediated by perceived usefulness and perceived ease of use. Fourth, the mediating effect mediated by digital disparity was confirmed. As a result, it was confirmed that the three perceived interaction factors of the digitally converted service are important factors in the intention to use the digitally converted service. This suggests that efforts are needed to minimize the digital divide.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.1
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• pp.1-16
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• 2013

This study investigates the spatial distribution characteristics of Korean fashion industries during the last decade, in which the economic geography of fashion industries has changed dynamically with economic globalization and "thus resulted in increased" demand "of" diversification. In particular, this study examines the spatial distribution patterns of fashion industries in the Seoul metropolitan area where fashion industries are highly agglomerated. For the purpose, this study applies Moran's I Index of spatial autocorrelation analysis for seven functional sectors of fashion industries related to fashion production. The global and local agglomeration patterns are examined for each functional sector. The results clarify the distinction in the spatial agglomeration patterns among the seven functional sectors of fashion industries in the Seoul Metropolitan area. Logit models are developed to examine the interrelationships among functional sectors in their spatial agglomeration distribution patterns. By conducting binary logistic regression analysis, we find out how the spatial agglomeration of each functional sector is related to the others.

• International Area Studies Review
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• v.16 no.1
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• pp.275-301
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• 2012

This study analyzes the regional disparity in India between 24 states over the period 1980 to 2009. The traditional regressive and spatial autoregressive models are used that includes measures of spatial effects. The results provide no evidence that convergence is valid in India. However, the results indicate that spatial interaction is an important element of state growth in India. The result of spatial analysis excluded two outliner states reveals more strong relationship between the weighted spatial income level and the state growth rates. Moreover, the results find that the coefficients of spatial lag of initial per capital and error terms are significantly negative. The coefficient of variation measures that the distribution of state income level has diverged over time. Therefore, this study concludes that the growth of regional state income does not have a tendency to converge rater than diverge. The results is rational because as the Indian economy is growing rapidly, some states grow faster than the others while initial poor states become the poorest ones, which increases regional disparity in India.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.18-28
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• 2005

인터넷 사용자의 증가와 함께 전자상거래가 활성화되면서 그 성공요인을 규명하고자 하는 노력은 계속 되고 있다. 특히 정보기술의 발달로 서비스의 온라인 거래가 가능해지고 있고 그 비중 또한 증대되고 있으나 아직까지 온라인에서의 서비스에만 초점을 맞춘 연구는 제한적이다. 따라서 본 연구는 전자상거래에서 거래되는 서비스에 대한 고객의 인식을 바탕으로 서비스의 오프라인 대비 온라인 선호에 영향을 미치는 요인들을 규명하고자 한다. 이를 위해 현재 국내 포탈에서 제공되는 서비스를 대상으로 고객설문을 수행하였으며 수집된 자료를 활용하여 온라인 선호에 대한 로지스틱 회귀분석을 실시하였다. 제안된 모형은 순수 오프라인에서 제공되는 서비스의 일부를 온라인 서비스로 전환하고자 할 때 고려해야 하는 요소들이 무엇이며 그 성공가능성을 예측할 수 있도록 도와줄 것으로 기대된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1985-1990
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• 2006

수문설계시 설계자들의 주된 관심사는 어떤 한 지점의 강우량보다는 유역 평균강우량에 있다. 그러나 우리가 얻을수 있는 강우량은 특정 지점에 설치된 관측소에서 관측되는 지점강우량이므로 이를 이용하여 유역에 대한 면적평균확률강우량을 산정해야 한다. 그러나 면적평균확률강우량을 산정하기 위해서는 복잡한 자료처리과정을 거쳐야 하며 수문분석시 마다 이러한 과정을 반복한다는 것은 매우 번잡스러운 일이다. 따라서 비교적 산정이 손쉬운 지점평균확률강우량을 사용하여 면적평균확률강우량으로 손쉽게 전환할 수 있는 면적감소계수가 대안이 될 수 있다. 현재 우리나라는 건설교통부에서 제시하고 있는 면적감소계수를 사용하고 있으나, 이는 한강유역의 강우관측소를 이용하여 산정하였기 때문에 이를 한강유역과 지형학적, 수문 기상학적 특징이 상이한 지역에 적용하기에는 많은 제약이 따른다고 생각된다. 본 연구에서는 낙동강 유역을 대상으로 자료계열의 빈도해석을 통하여 기존의 지점평균확률강우량과 면적확률강우량을 산출한 후, 이를 이용하여 지점평균확률강우량을 면적확률강우량으로 전환할수 있는 면적감소계수 회귀곡선식을 산정하였다. 따라서 본 연구에서 제시하는 면적감소계수는 낙동강 유역에 대하여 지점평균확률강우량을 면적확률강우량으로 손쉽게 환산할 수 있는 한 가지 방안이 될 것으로 생각된다.

• Knowledge Management Research
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• v.24 no.2
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• pp.161-183
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• 2023

Social Q&A sites, where individuals freely ask and answer each other online, play an important role as a public knowledge repository. For their sustainable growth, social Q&A sites constantly need new askers and new answerers. However, previous studies have focused only on answerers, with little attention to new users or askers. This study examines the factors encouraging new users to continue using social Q&A sites based on motivational affordance theory and self-determination theory, and also investigates whether the factors differ depending on the types of users (i.e., new asker vs. new answerer). In addition, the moderating effect of prior experience with a member Q&A site was examined. Using logistic regression and XGBoost, we analyzed online activity data from 25,000 users in the Stack Exchange Network and found that design elements with motivational affordances had significant impacts on new users' continuance behavior. The experience of a member Q&A site negatively moderated the influence of the antecedents of continuance behavior. Interestingly, the influence of editing was not significant in the analysis of new users as a whole, but was significant in the separate analyses of askers (significantly negative) and answerers (significantly positive).

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.664-683
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• 2017

The technology transfers from public institutions have positioned themselves as knowledge conduits for stimulating firms' capabilities under 'catching-up' economy paradigm. While this view is still relevant, the policy for public technology needs to be extended to a more marketoriented way. This study explores how public technology affects the financial performance of demanding companies by comparing the revenues and profits of 'technology commercialised group (TC)' and 'in-house research group (InR)'. The estimation results by hierarchy regression suggest that the size and the patents of TC firms have a more influential impact than InR group, although the ratio of maintaining research staff was reported an inverse relation. The contribution to the operating profit seems to be indifferent between the groups. The positive impact of public technology over the firm's performance is highly related to the technology commercialisation capability, signalling that the aim of technology transfer needs to gear toward the enhancement of commercialising capabilities rather than the promotion of technology transactions.

• Journal of Family Resource Management and Policy Review
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• v.26 no.3
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• pp.65-85
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• 2022

This study aims to contribute to social work practice in understanding marriage and divorce as transitions and in helping women make meaningful decisions on whether to stay or leave the marriage by examining the factors that impact women's divorce decision making over time. This is a longitudinal study that used survival analysis by Korean Longitudinal Survey of Women and Families' panel data. Finally, cox regression analysis was used to evaluate the impact of each factor on divorce decision making, and accordingly, all regression models were appropriate for analysis.