• The Korean Journal of Financial Management
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• v.24 no.1
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• pp.29-58
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• 2007

We develop a model to estimate the value of growth opportunities, which is based on the seminal papers of M&M(1961, 1963) and Lee(2006). Making use of the estimation model, we estimate a new proxy variable of the growth opportunities, other than the usual proxy variables such as quasi Tobin's Q, MBR, and so on. The new proxy variable of growth opportunities can represent a necessary condition to identify whether the increase in new investments are successful or not. The empirical findings on the growth opportunities during the IMF currency crisis period and the post-IMF period are as follows; First, the overall success rate of new investments is as low as 50%, that means only half of the listed firms were increasing new investments when they had the growth opportunities. Second, during the crisis, one third of the listed firms were experiencing negative growth opportunities. However, during the post-IMF period, the growth opportunities on new investments were turned to be positive due to the turnaround efforts of listed firms. Third, the value of intangible assets, which are resulting from the investment of R&D and human capital, are becoming more important than ever. It seems to be true that larger portions of the value of growth opportunities are coming from the intangible assets, not from the increases in new investments of the physical assets.

• Human Ecology Research
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• v.52 no.3
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• pp.275-284
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• 2014

This study was designed to examine the relationships between empowerment and child care teachers' intention of teaching, the reason for teaching intent. The subjects were 181 child care teachers from Chungcheongnamdo and the city of Daejeon, Korea. This study was conducted using questionnaires. The results were as follows: first, there were significant relationships between empowerment and child care teachers' intention of teaching and, the reason for teaching intent. There were positive relationships between decision making, professional growth, status, self-efficacy, autonomy, impact empowerment and child care teacher' intention of teaching and, the reason for teaching intent. Second, child care teachers' intention of teaching and the reason for teaching intent were affected by empowerment. Status and professional growth empowerment were the most predictive variables for the child care teachers' intention of teaching. The impact and self-efficacy empowerment were the most predictive variables for enjoy working with children, impact and professional growth empowerment were the most predictive variables for finding meaning in teaching, impact and status empowerment were the most predictive variables for opportunities to face ongoing challenges, and achievement motive. Status empowerment were the most predictive variable for reasonable pay and working environment, stability and skill. Therefore, status and impact empowerment were the most predictive variable for the reason for teaching intent.

• Journal of The Korean Society of Grassland and Forage Science
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• v.2 no.2
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• pp.16-20
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• 1981

To cultivate Dystaenia takesimana as a fodder crop, Its problems and solutions are summarized follows : 1. There are a wax layer and wings on the out side of seed coat of D. takesimana seeds, which seems to inhibit imbibition and cause delayed germination. 2. The root and shoot growth of D. takesimana are very poor in the early stage and weed control is quite troublesome. 3 The growth of D. takesimana is very poor the soil of low fertility and much depressed in summer. 4 . The percent germination could be increased by removing wings, soaking, high temperature treatment or by chemical scarification. 5. Compost is most effective for the growth of D. takesimana and lime dressing is desired in the soil of low pH. 6 . The seedling growth could be improved selecting and breeding the strains with better germination and root growth, at the germination and growth characteristics of D. takesimana are variable.

• The Journal of Economics, Marketing and Management
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• v.10 no.2
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• pp.15-22
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• 2022

Purpose: This study explores the effect of employee's growth needs strength on counterproductive work behaviors. Perceived job insecurity was also examined as a moderating variable on the relationship between the two variables. Research Design, data and methodology: This study collected 108 data samples from working individuals from South Korea. The Exploratory Factor Analysis (EFA) and the hierarchical regression analysis were used to analyze the data. Hierarchical regression analysis was performed using SPSS 24.0. Results: Our research results indicated that employee's growth needs strength has a negative effect on counterproductive work behaviors. Perceived job insecurity moderates the relationship between the two variables. Conclusions: Organizations should focus on creating growth opportunities for employees, since facilitating employee's growth need strength will counteract the desire to engage in behaviors that can be detrimental to the organization. and its members.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.76-84
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• 2020

In general, members of an organization want their own growth and development. As these members grow or develop, they feel satisfied and fulfilled in the process. Growth or development can motivate members to become more involved in their jobs. Therefore, these concepts are very important for organizations as well as individual members. Various elements of the organization affect the growth of its members. Leaders influence members to achieve organizational goals. Leaders can therefore be an important variable influencing the growth of members. Specific leadership informally develops the potential to identify and satisfy members' personal needs and to achieve higher performance. These leader behaviors motivate members and drive their growth. Thus, this leadership will have a significant impact on the growth of members. In addition, in this relationship, if members have perceived organizational support, they can further improve their expectations for growth. Therefore, support from leaders and organizations will have a positive impact on employee growth. This study highlights the importance of the growth of members of the organization. It demonstrates the moderating effects of leader's individualized consideration and perceived organizational support necessary elements for member growth. Through this process, the purpose and significance of the study are to identify the variables that affect the personal growth of members and explain how they can grow.

• Journal of The Korean Society of Agricultural Engineers
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• v.52 no.6
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• pp.19-26
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• 2010

Batch experiments were conducted to investigate growth and nutrient removal performance of microalgae Chlorella vulgaris by using piggery wastewater in different concentration of pollutants and the common growth models (logistic, Gompertz and Richards) were applied to compare microalgal growth parameters. Removal of nitrogen (N) and phosphorus (P) by Chlorella vulgaris showed correlation with biomass increase, implying nutrient uptake coupled with microalgae growth. The higher the levels of suspended solids (SS), COD and ammonia nitrogen were in the wastewater, the worse growth of Chlorella vulgaris was observed, showing the occurrence of growth inhibition in higher concentration of those pollutants. The growth parameters were estimated by non-linear regression of three growth curves for comparative analyses. Determination of growth parameters were more accurate with population as a variable than the logarithm of population in terms of R square. Richards model represented better fit comparing with logistic and Gompertz model. However, Richards model showed some complexity and sensitivity in calculation. In the cases tested, both logistic and Gompertz equation were proper to describe the growth of microalgae on piggery wastewater as well as easy to application.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.39 no.1
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• pp.63-69
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• 2015

The primary aim of this paper is to evaluate the probabilistic fatigue crack propagation models using the residual of a random variable and to present the probabilistic model fit for the probabilistic fatigue crack growth behavior in Mg-Al-Zn alloys under maximum load conditions. The models used in this study were prepared by applying a random variable to empirical fatigue crack propagation models such as the Paris-Erdogan model, Walker model, Forman model, and modified Forman model. It was verified that the good models for describing the stochastic variation of the fatigue crack propagation behavior in Mg-Al-Zn alloys under maximum load conditions were the 'probabilistic Paris-Erdogan model' and 'probabilistic Walker model'. The influence of the maximum load conditions on the stochastic variation of fatigue crack growth is also considered.

• Asia-Pacific Journal of Business
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• v.11 no.3
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• pp.199-215
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• 2020

Purpose - This article tries to test if the conditional consumption capital asset pricing model (CCAPM) with bank credit for household as a conditional variable can explain the cross-sectional variation of stock returns in Korea. The performance of conditional CCAPM is compared to that of multifactor asset pricing models based on Arbitrage Pricing Theory. Design/methodology/approach - This paper extends the simple CCAPM to the conditional version of CCAPM by using bank credit for household as conditioning information. By employing KOSPI and KOSDAQ stocks as test assets from the second quarter of 2003 to the first quarter of 2018, this paper estimates risk premiums of conditional CCAPM and a variety of multifactor linear models such as Fama-French three and five-factor models. The significance of risk factors and the adjusted coefficient of determination are the basis for the comparison in models' performances. Findings - First, the paper finds that conditional CCAPM with bank credit performs as well as the multifactor linear models from Arbitrage Pricing theory on 25 test assets sorted by size and book-to-market. When using long-term consumption growth, the conditional CCAPM explains the cross-sectional variation of stock returns far better than multifactor models. Not only that, although the performances of multifactor models decrease on 75 test assets, conditional CCAPM's performance is well maintained. Research implications or Originality - This paper proposes bank credit for household as a conditional variable for CCAPM. This enables CCAPM, one of the most famous economic asset pricing models, to conform with the empirical data. In light of this, we can now explain the cross-sectional variation of stock returns from an economic perspective: Asset's riskiness is determined by its correlation with consumption growth conditional on bank credit for household.

• Journal of the Korean Society for Railway
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• v.12 no.1
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• pp.16-24
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• 2009

In this study, fatigue crack growth rate of a cracked railway bogie frame under variable amplitude loading is predicted by applying linear elastic fracture mechanics. For this purpose, we find the critical points by reference surveying on cracked railway bogie frames. And we make an effective load history by synthesizing the dynamic load measured from the critical points of railway bogie frame during commercial line operation and the static load calculated from structural analysis. Crack growth analyses are performed at the 3 critical points under the commercial operation loading condition by assuming an initial crack size as 40 mm. and the results are compared with the experimental results from Japanese railway bogie frame crack growth case. From the analysis results, we find that around 500,000 km operating distance is necessary to bring crack growth from the initial crack to unstable crack. And it takes around 3.8 normal operating years. We conclude that it is enough time to detect the crack between normal maintenance period.

• Journal of Environmental Impact Assessment
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• v.20 no.4
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• pp.455-464
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• 2011

The purpose of this study is to clarify correlations between soil environments and the growth of trees in forests and thereon analyze effects of seasonal changes in such environments on such growth. To determine seasonal factors of soil affecting the Tree Vitality of Pinus thunbergii, first of all, the study designated the Tree Vitality as a dependent variable and soil hardness, moisture, pH, K, Na, Mg and Ca as independent variables. Then the study performed Pearson's coefficient analysis. To clarify what soil factors influence the seasonal growth of Pinus thunbergii multiple regression analysis is carried out, and findings are as follow; the growth of Pinus thunbergii was basically influenced by pH, followed by soil hardness in spring, K, followed by moisture in summer, and by soil hardness in winter. However, no soil factors affected the vitality at the significance level of 5% for t.