• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.261-273
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• 2008

One recurrent theme within the literature on 6 sigma was the study of its effect on organizational performance. Nonetheless, most research were focused on analyzing the relationships between the implementation of different elements and several types of performance. This research incorporated the effect of organizational environment as a variable for explaining the impact of 6 sigma on business results. The model was tested using regression analyses, employing a survey of employees of hotels' cuisine departments involved in 6 sigma. The causal analysis results showed that dynamism, munificence and complexity influenced the degree of implementation of the main 6 sigma principles. Similarly, the dimensions of 6 sigma had an impact on employees' work commitment. The model could be used by hotels to assess their level of 6 sigma success depending on specific environmental characteristics.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.735-744
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• 2016

Recently, personal information leakage incidents with increased usage of mobile services are increasing. Personal information leakage incidents can have a significant impact on an individual's mobile banking services. Accordingly, we examine relationships among individual's psychological characteristics, intention and behavior regarding compliance in an individual's perception on personal information leakage incidents in mobile banking contexts. In this study, for explaining our research model and understanding with personal psychology and behavior in mobile banking contexts, we adopted two theories, theory of interpersonal behavior and stimulus-response theory. We collected the 55 data using online surveyor and then analyzed structural equation model in order to find causal relationships among research variables. The results of this study should be useful to the mobile banking services companies in promoting service users to follow the information privacy policies.

• KDI Journal of Economic Policy
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• v.36 no.3
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• pp.1-23
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• 2014

This paper has studied the monetary policy in Korea with a time varying VAR model using four key macroeconomic variables. First, inclusion of the exchange rate was a crucial factor in evaluating Korean monetary policy since the monetary policy demonstrated sensitivity to exchange rate movements during the crisis periods of both the Asian financial crisis of 1997 and the global financial crisis of 2008. Second, a specification of the stochastic volatilities in TVP-VAR model is important in explaining excessive movements of all variables in the sample. The overall moderation of variables in 2000s was more or less due to a reduction of the stochastic volatilities but also somewhat due to the macroeconomic fundamental structures captured by impulse response functons. Third, the degree of the monetary policy effectiveness of inflation was mitigated in recent periods but with increased persistence. Lastly, the monetary policy stance towards inflation stabilization has advanced ever since the inflation targeting scheme was adopted. However, there still seems to be a room for improvement in this aspect since the degree of the monetary policy stance towards inflation stabilization was relatively weaker than to output stabilization.

• The Journal of Information Systems
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• v.25 no.1
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• pp.183-200
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• 2016

Purpose Although many users change their smartphone, most may be inclined to continue using incumbent smartphone series instead of switching to new brands. Brand loyalty and switching costs are major determinants of inclinations toward incumbent smartphones. This study addresses the research question, "what roles brand loyalty and switching costs play in the purchase of new smartphones?". Design/methodology/approach A research model consisting of six hypotheses for explaining purchase intentions toward new smartphone was proposed considering inclinations toward incumbent brands. The research model was empirically tested based on purchase intentions toward the LG smartphone brand G4, employing a sample of 177 university students in Korea. The data were analyzed using the PLS technique. The results provide support for all hypotheses. Findings First, perceived inclinations toward incumbent smartphone, brand loyalty and switching costs, explained the purchase of new smartphones as well as the perception of new smartphone. Second, brand loyalty was found to play the role of moderator between switching costs and relative advantage in the purchase of new smartphone. Third, perceived aesthetics and price value had considerable influence on the purchase of brand-new smartphone.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.2
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• pp.166-181
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• 2020

This paper attempts to compare and analyze the intensity, trend, and regional gap of income inequality, capitalizing upon the Age-Period-Cohort model which considers age, time and cohort effects, with the 1998-2018 Korea Labor Panel (KLIPS) survey data for respondents living in the Capital and Non-Capital Regions. The main analysis results are as follows. First, in the case of both cohort and age effects, those in their 50~60s, including the so-called baby boomers and '386 generation' living in the Capital Region, have relatively lower income inequality effect compared to that of other age groups and cohorts in the Non-Capital Region. Second, the micro-individual characteristics cannot be ignored to account for a regional gap in income inequality, but rather the effects of structural and institutional omitted variables and the social discrimination effects of individual characteristics variables are more significant in explaining it. Overall, intra-and inter-cohort income inequalities appear to overlap.

• Korean Journal of Agricultural and Forest Meteorology
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• v.6 no.4
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• pp.235-241
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• 2004

There is a growing concern about the possible increase in inter-annual variation of minimum temperature during the winter season in Korea. This view is strengthened by frequently reported freezing injury to dormant fruit trees, while warmer winters have prevailed recently. The January minimum temperature record at fourteen weather stations was analyzed for 1951-2000. The results showed no evidence of increasing standard deviation at 3 locations between 1951-1980 and 1971-2000, while the remaining 11 stations showed a trend of decreasing standard deviation for the two periods. An empirical model explaining the spatial variation of the standard deviation was derived by regression analysis of 56 stations' data for 1971-2000. Daily minimum temperature and the site elevation may account for 68% of the observed variations. We applied this model to restore the average standard deviation of the January minimum temperature for 1971-2000, and the result was used to produce gridded minimum temperature data for the recurrence interval of 10 and 30 years at 250m resolution. A digital form of the plant hardiness zone map may be developed from this product for site-specific selection of adapted plant species.

• Journal of the Korea Society of Computer and Information
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• v.18 no.11
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• pp.213-220
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• 2013

This research paper examined to the influencing factors to adopt national policies of international organization's environment. For this a multivariate regression model has been used to examine cross-national differences in environmental policy adoption. The data analysis was conducted by regression analysis, the indexed point of international environmental agreements were ratified by each nation on the measure of independent variables for a sample of 130 countries in all parts of the world. From analysis results, overall, the regression analysis illustrates that the regression model generally fits our predictions for independent variables. The finding has revealed that external determinants are stronger than internal ones in explaining the level of national environmental policy adoption in relation to international environmental cooperation. Namely, All international environmental organizations, international nongovernmental organizations, and regional multinational institutes proved to function in a positive way in influencing number nations to have a favorable attitude toward international environmental policies. The findings of this study will provide helpful information on how to improve the efficacy of the Korean environmental policy system.

• Journal of Korean Academy of Nursing
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• v.48 no.6
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• pp.731-742
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• 2018

Purpose: The purpose of this study was to test a hypothesis explaining direct and indirect relationships among the factors affecting self-care behaviors of kidney transplant patients, based on self-determination theory. Methods: Data were collected from 222 outpatients with kidney transplantation. The endogenous and exogenous variables of the hypothetical model consisted of healthcare provider's autonomy support, duration after kidney transplantation, basic psychological need satisfaction, autonomous and controlled motivation, depression, and self-care behaviors. Collected data were analyzed using SPSS/WIN 24.0 and AMOS 24.0. Results: The hypothetical model demonstrated a good fit: RMSEA=.06, SRMR=.04, TLI=.94, CFI=.97. Statistically significant explanatory variables for the self-care behaviors of kidney transplant patients were duration after transplantation and basic psychological need satisfaction. Healthcare provider's autonomy support was indirectly significant, while autonomous motivation, controlled motivation and depression were not statistically significant for self-care behaviors. The variables accounted for 59.5% of the self-care behaviors of kidney transplant patients. Conclusion: It is necessary to develop an autonomy support program for healthcare providers to enhance the self-care behaviors of kidney transplant patients. Preventing the deterioration of self-care behaviors will be possible by conducting this program at one year and six years post-transplantation. In addition, the results suggest the need to developing personalized autonomy support programs for healthcare providers that can meet the basic psychological need satisfaction of kidney transplant patients.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.291-300
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• 2019

This research was conducted to investigate the influence of affective events, affect, and job satisfaction on clinical nurse's turnover intention and to provide guidelines for interventions and strategies to decrease turnover intention. The participants consisted of 296 nurses recruited from three general hospitals in South Korea. Data was collected by a structured self-report questionnaire, and were analyzed using SPSS Statistics 24.0 and AMOS 24.0. The final path model was a good fit for the data based on the model fit indices. In the path analysis, positive events, negative events, positive affect, negative affect, and job satisfaction had statistically significant effects on turnover intention, explaining 37.0% of the variance. This research provided evidence identifying factors influencing turnover intention in clinical nurses. Therefore, findings from this research can be used to design appropriate strategies to decrease the clinical nurse's turnover intention.

• Journal of Korean Society on Water Environment
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• v.36 no.6
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• pp.508-520
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• 2020

Dam reservoirs have been reported to contribute significantly to global carbon emissions, but unlike natural lakes, there is considerable uncertainty in calculating carbon emissions due to the complex of emission pathways. In particular, the method of calculating carbon dioxide (CO2) net atmospheric flux (NAF) based on a simple gas exchange theory from sporadic data has limitations in explaining the spatiotemporal variations in the CO2 flux in stratified reservoirs. This study was aimed to analyze the spatial and temporal CO2 distribution and mass balance in Daecheong Reservoir, located in the mid-latitude monsoon climate zone, by applying a two-dimensional hydrodynamic and water quality model (CE-QUAL-W2). Simulation results showed that the Daecheong Reservoir is a heterotrophic system in which CO2 is supersaturated as a whole and releases CO2 to the atmosphere. Spatially, CO2 emissions were greater in the lacustrine zone than in the riverine and transition zones. In terms of time, CO2 emissions changed dynamically according to the temporal stratification structure of the reservoir and temporal variations of algae biomass. CO2 emissions were greater at night than during the day and were seasonally greatest in winter. The CO2 NAF calculated by the CE-QUAL-W2 model and the gas exchange theory showed a similar range, but there was a difference in the point of occurrence of the peak value. The findings provide useful information to improve the quantification of CO2 emissions from reservoirs. In order to reduce the uncertainty in the estimation of reservoir carbon emissions, more precise monitoring in time and space is required.