• Journal of Bio-Environment Control
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• v.26 no.1
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• pp.13-18
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• 2017

This study was conducted to investigate optimal temperature of garlic and develop bulb weight model in harvest time. Day and night temperature in chambers was set to $11/7^{\circ}C$, $14/10^{\circ}C$, $17/12^{\circ}C$, $20/15^{\circ}C$, $23/18^{\circ}C$, $28/23^{\circ}C$(16/8h). Bulb fresh and dry weight was heaviest on $20/15^{\circ}C$. In $11/7^{\circ}C$ and $14/10^{\circ}C$, leaf number and total leaf area increased slowly. But in the harvest, leaf number and total leaf area were not significant, except $28/23^{\circ}C$. Models were developed with fresh bulb weight. As a result of analyzing the model, $18{\sim}20^{\circ}C$ certified optimal mean temperature. And the growing degree day base temperature estimated $7.1^{\circ}C$, upper temperature threshold estimated $31.7^{\circ}C$. To verify the model, mean temperature on temperature gradient tunnel applied to the growth rate model. Lineal function model, quadric model, and logistic distribution model showed 79.0~95.0%, 77.2~92.3% and 85.0~95.8% accuracy, respectively. Logistic distribution model has the highest accuracy and good for explaining moderate temperature, growing degree day base temperature and upper temperature threshold.

• Korean Journal of Construction Engineering and Management
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• v.15 no.5
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• pp.31-39
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• 2014

It has been a long time since cars had become important means of transportation in human life. Since 1970s, cars have been increasing steadily because of rising individual income and changing lifestyle toward leisure and convenience. The number of cars is just 1.8 per thousand populations in 1970s, however, in 2012, it has increased to 291.15. Forecasting the demand for cars would be useful to plan, construction or management in the field of motor industry, road building and establishing facilities. Our study predicts the demand of cars through estimating the growth curve model. Especially, we include ageing variables to forecasting identifying the effect of ageing on the demand of cars. The main findings are as follows. In 2045, the number of cars is expected to reach 486.8 per thousand populations with passing a primary saturation point at early 2020s. Also, due to effect of ageing, the predicted demand of cars is about 10% lower than in case of which if ageing effect not exist.

• Journal of Distribution Science
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• v.12 no.4
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• pp.31-39
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• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

• Journal of Distribution Research
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• v.11 no.1
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• pp.41-68
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• 2006

Today, Manufacturing companies execute the logistics outsourcing that commits the non-core logistic function to the specialized logistics corporation, which makes the manufacturing company focus on its core competence, product development and marketing, reduces logistics cost and improves customer service level. Recently, Logistics outsourcing is developed into cooperative sourcing based on the partnership. Case study on the logistics outsourcing will provide the good guideline for planning of the outsourcing strategy. The objective of this research is making a sense about 4PL through the case of UPS-Samsung Electro-Mechanics and catching major issue to provide the guideline for the cooperation outsourcing strategy. We investigated historical backgrounds of the logistics outsourcing between UPS and Samsung Electro-Mechanics. We also investigated problems occurred in outsourcing process at the five dimensions-organizational problem, CEO's short-term views, cultural gap between two companies, integration of IT system, and different understanding about outcomes. We expect to give many implications to manufacturing companies which want to cooperate with specialized logistics corporation.

• Journal of Distribution Science
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• v.13 no.11
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• pp.101-109
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• 2015

Purpose - A traditional retail market is a place that offers economic opportunity to employees and employers alike it also is a place where the community can meet. The Korean government has invested three trillion won to improve physical and non-physical aspects in traditional retail markets since 2004. However, little research on this has been conducted. We explore this research gap that could lead to theory extension. We analyze consumption behavior with respect to traditional retail markets through an empirical analysis, thus overcoming limits in previous research. We empirically analyze policy effects of traditional retail market projects supported by the Korean government. Research design, data, and methodology - We propose a traditional retail market improvement plan via the relation between cause and effect resulting from the analysis. More specifically, logit analysis was carried out with 1,754 consumers in 16 cities nationwide. In order to analyze consumer consumption behaviors nationwide, the probability was analyzed using a logit model. This research analyzes the link between support and non-support by the Korean government using binary values. The dependent variable is whether Korean government support is implemented; the binomial logistic regression is used as the statistical estimation technique. The object variables are:1 (support) or 0 (nonsupport), and the prediction value is between 1 and 0. As a result of the factor analysis of questions related to attributes of service quality, four factors were extracted: convenience, product, facilities, and service. Results - The results indicate that convenience, product, and facilities have a significant influence on consumer satisfaction in accordance with the government's traditional retail market support. Additionally, the results reveal that convenience, product, facilities, and service all have a significant influence on consumer satisfaction in a traditional retail market's service quality and consumer satisfaction. Finally, the analysis indicates that the highly satisfied traditional retail market customer has a significant influence on revisit intention. Moreover, the results reveal that the highly satisfied traditional retail market customer has a significant influence on recommendation intention. Conclusions - This research focused on consumers nationwide to measure policy effects of traditional retail markets compared to previous research that focused on one traditional retail market or a specific area. We verified the relationship of service quality and customer satisfaction and consumer behavior based on service quality theory. The results indicate that consumer satisfaction of traditional retail markets supported by service quality factors has a significant impact. In a concrete form, the results indicate that these effects are from facility modernization projects and marketing support projects of the Korean government. The results also imply that these facility and management support effects from the Korean government have been consistent. We realize that the Korean government has to selectively support traditional retail markets in major cities and small and medium-sized cities. To that end, the Korean government needs to select a concentration strategy for the revitalization of traditional retail markets.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2589-2599
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• 2012

This study was intended to assess fatigue symptoms of nurses working for general hospitals and to reveal its association with the type A behavior pattern. The self-administered questionnaires were given to 306 nurses employed in general hospitals from May, 1st to June, 30th 2011. As a results, The proportion of behavior pattern was 50.7%, of type A, and 49.3% of type B. The distribution of fatigue symptoms was 76.8% of normal group, and 23.2% of high risk group. In terms of the distribution of fatigue symptoms according to the type A behavior pattern, the normal group of fatigue symptoms was higher in the type B behavior pattern group, but the high risk group of fatigue symptoms was higher in the type A behavior pattern group. The type A behavior pattern was significant positive correlation with fatigue symptoms. In logistic regression analysis, the adjusted odds ratio of the high risk fatigue symptoms were significantly increased in the group of type A behavior pattern than type B behavior pattern. As a conclusion, fatigue symptoms was higher in the group of type A behavior pattern than the group of type B behavior pattern. Hereafter, the sustainable study would require that the relation between type A behavior pattern and fatigue symptoms to the various study subjects.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.25 no.3
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• pp.89-94
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• 2019

Among the many packaging materials used in cushion packaging, there is a lack of optimum design for the tray cup pad used in fruit packaging for export and domestic distribution. It causes over-packaging due to excessive material input, and this could be solved by applying various parameters needed to optimize the design of the tray cup pad considering the packaging material and the quantity of fruits in the box. In the case of a tray cup for fruits, the economic efficiency of material and thickness should be considered. Therefore, it is possible to design a tray cup pad depending on the packaging material used by applying appropriate design parameters. The static and dynamic characteristics of the materials used for packaging of pears were analyzed by using the FEM (finite element Method) simulation technique to derive the optimal design parameters. And by applying the appropriate design parameters considering the quantity of fruit and distribution environment, it is possible to design an appropriate fruit tray cup pad. In this study, as a result of simulating the contact stresses between the fruit and the tray cup for the PP, PE, and PS materials used in the fruit tray cup, the material with the lowest contact stress was PP and the value was found to be 398 Pa. The contact displacement between fruit and tray cup using this material was about 0.0463 mm, which was the lowest value compared with other materials. Also the resonance frequency band of tray cup made of PP material was below 36.81 Hz, and the strain energy was below 12.20 J. The resonant frequency band of the pear is more than 80 Hz and it could be applied to all the tray cup materials as compared with the resonance band of 38.81 Hz or less which is the resonance band of all tray cup pads for packaging. Finally, PP is the most suitable material for the tray cup pad.

• The Journal of Industrial Distribution & Business
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• v.9 no.7
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• pp.53-59
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• 2018

Purpose - This study examines the effect of control-ownership wedge on stock crash risk. In Korea, controlling shareholders have exclusive control rights compared to their cash flow rights. With increasing disparity, controlling shareholders abuse their power and extract private benefits at the expense of the minority shareholders. Managers who are controlling shareholders of the companies tend not to disclose critical information that would prevent them from pursuing private interests. They accumulate negative information in the firm. When the accumulated bad news crosses a tipping point, it will be suddenly released to the market at once, resulting in an abrupt decline in stock prices. We predict that stock price crash likelihood due to information opaqueness increases as the wedge increases. Research design, data, and methodology - 831 KOSPI-listed firm-year observations are from KisValue database from 2005 to 2011. Control-ownership wedge is measured as the ratio (UCO -UCF)/UCO where UCF(UCO) is the ultimate cash-flow(control) rights of the largest controlling shareholder. Dependent variable CRASH is a dummy variable that equals one if the firm has at least 1 crash week during a year, and zero otherwise. Logistic regression is used to examine the relationship between control-ownership wedge and stock price crash risk. Results - Using a sample of KOSPI-listed firms in KisValue database for the period 2005-2011, we find that stock price crash risk increases as the disparity increases. Specifically, we find that the coefficient of WEDGE is significantly positive, supporting our prediction. The result implies that as controlling shareholders' ownership increases, controlling shareholders tend to withhold bad news. Conclusions - Our results show that agency problems arising from the divergence between control rights and cash flow rights increase the opaqueness of accounting information. Eventually, the accumulated bad news is released all at once, leading to stock price crashes. It could be seen that companies with high control-ownership wedge are likely to experience future stock price crashes. Our study is related to a broader literature that examined the effect of the control-ownership wedge on stock markets. Our findings suggest that the disparity is a meaningful predictor for future stock price crash risk. The results are expected to provide useful implications for firms, regulators, and investors.

• Journal of Nutrition and Health
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• v.40 no.sup
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• pp.29-38
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• 2007

The purpose of this study was to establish an association between the percent of energy from total sugar and disease prevalence of obesity, hypertension, dyslipidemia, insulin resistance, and metabolic syndrome with the context of the current population dietary practice in Korea. The Korean National Health and Nutrition Survey, 2001 and 2002 dataset were used as the source of data for this research. Usual nutritional intakes for over 20 years old people were calculated from the two non-consecutive dietary intake data from KNHANES 2001 and 2002 dataset. SAS and SUDAAN were used for statistical analyses. Sample weighted means, standard errors, and population percentages were calculated, and multiple logistic regression model with adjustment for covariates were used to determine the odds ratios(ORs) and 95% confidence intervals. Subjects were categorized as 3 ways and compared the LS means and ORs for heath factors. First, subjects excluding pregnant women, were categorized according to percent of energy from the usual total sugar intakes as ${\leq}10%$, 11-15%, 16-20%, 21-25%, >25%. Risk of LDL cholesterol showed a tendency to increase in the '>25%' group compared to the '<10%' group. The risks of the other health effects did not show any significant differences. Second, the subjects were categorized considering both Acceptable Macronutrient Distribution Range(AMDR) from carbohydrate and %Energy from total sugar as 'CHO<55% & Total sugar ${\leq}10%$', 'CHO 55-70% & Total sugar 11-25%', and '$CHO{\geq}70%$ & Total sugar ${\geq}25%$'. The risk of obesity tended to increase in the '$CHO{\geq}70%$ & Total sugar ${\geq}25%$' group compared to the 'CHO<55% & Total sugar ${\leq}10%$'. Third, the subjects were categorized as 'CHO<55% & Total sugar ${\leq}10%$', 'CHO 55-70% & Total sugar 11-20%', and '$CHO{\geq}70%$ & Total sugar ${\geq}20%$'. The risk of obesity also tended to increase in the '$CHO{\geq}70%$ & Total sugar ${\geq}20%$' group compared to the 'CHO<55% & Total sugar ${\geq}20%$' group. In conclusion, risk of LDL cholesterol showed a tendency to increase in the over 25% total sugar intake group, and the risk of obesity tended to increase in the 20-25% total sugar intake and high carbohydrate intake group. The risks of hypertension, hyperlipidemia, insulin resistance, and metabolic syndrome were not associated with total sugar intakes. More research to elucidate the association for Korean between the intakes of total sugar, added sugar, glucose, fructose, and sweeteners and diseases prevalences shoud be excuted in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.201-210
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• 2012

This study was performed to determine the levels of depressive symptoms and to reveal its relationships between ADL and IADL among rural elderlies. The interviews were performed, during the period from April 1st, to June 30th, 2010, to 412 elderlies in rural areas. As a results, the distribution of ADL among all subjects were 94.7% in normal-range group, and 5.3% in impaired group. In terms of IADL, 87.4% of the subjects were normal-range group, 12.6% were impaired group. The distribution of depression group among all subjects were 38.2% in normal-range group of ADL, and 90.9% in impaired group of ADL, but it was 35.8% in normal-range group of IADL, and 76.9% in impaired group of IADL. In logistic regression analysis, the adjusted odds ratio of the depression was significantly increased in impaired group of ADL than in normal-range group of ADL(OR=23.21, 95% CI=4.38~123.05). Also it was significantly increased in impaired group of IADL than in normal-range group of IADL(OR=7.76, 95% CI=2.99~20.08). In conclusion, the depression of rural elderlies was significantly increased in impaired group than in normal-range group of ADL and IADL. Thus, strategic effort needs to be prevented to depression in impaired group of ADL and IADL.