• Journal of Korea Port Economic Association
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• v.38 no.1
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• pp.49-71
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• 2022

The purpose of this paper is to study the effect of the corporate social responsibility by port operation organization on the brand asset, reputation and relationship performance perceived by interested parties. To achieve such a purpose, literature survey on various research papers and thesis, research report is carried out and also reliability analysis, validity test and multiple regression analysis using SPSS 18.0 are used. To verify a established research model for empirical analysis and hypotheses, questionnaires are distributed to the port operation organization, terminal operators, shipping companies and NGO. Total 414 copies of questionnaires were collected and used in this analysis. The main results of the study are summarized as below. First, it was confirmed that social responsibility of the port operation organization are classified into three categories; economic, legal, and charitable and ethical responsibility. Second, economic responsibility has a positive impact on the brand awareness and reputation. Third, legal responsibility has a positive impact on the trust and commitment. Fourth, charitable and ethical responsibility has a positive impact on brand image and awareness, reputation, trust and commitment. Further additional empirical research can be extended by distributing more questionnaires including several port operation organizations in Busan and Incheon.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.5
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• pp.31-47
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• 2022

The TIPS, a representative public-private cooperative project to revitalize the start-up ecosystem, is a government supported policy that promotes successful commercialization through various start-up support for technology-based startups. The purpose of this study is to analyze the investment decision factors of the TIPS program and to derive priorities. In order to achieve the research purpose, first, the investment decision factors were derived through literature analysis, a Delphi surveys were conducted on investors and experts participating in the evaluation of the TIPS program, and an AHP analysis was conducted on 20 VCs to empirically analyze the priority of factors on investment decisions. As a result of the analysis, the importance of critical factors was confirmed in the order of entrepreneurs(team) > market > product/service > finance > network. The importance of detailed factors was found in the order of entrepreneur's reliability and authenticity > market growth and scalability > team members' expertise and capabilities > adequacy of current market size > new market creation. This study presented the capabilities of technology-based startups preparing to participate in the TIPS program by deriving factors that influence investment decisions from an investor's perspective and comparing and analyzing the importance. It is also meaningful that basic data on determinants of private-led investment decision-making were presented to stake-holders such as venture capital, accelerator, and start-up support institutions.

• Journal of the Korea Concrete Institute
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• v.20 no.1
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• pp.13-22
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• 2008

The initiation and growth processes of cyclic ice body in porous systems are affected by the thermo-physical and mass transport properties, as well as gradients of temperature and chemical potentials. Furthermore, the diffusivity of deicing chemicals shows significantly higher value under cyclic freeze-thaw conditions. Consequently, the disintegration of concrete structures is aggravated at marine environments, higher altitudes, and northern areas. However, the properties of cyclic freeze-thaw with crack growth and the deterioration by the accumulated damages are hard to identify in tests. In order to predict the accumulated damages by cyclic freeze-thaw, a regression analysis by the response surface method (RSM) is used. The important parameters for cyclic freeze-thawdeterioration of concrete structures, such as water to cement ratio, entrained air pores, and the number of cycles of freezing and thawing, are used to compose the limit state function. The regression equation fitted to the important deterioration criteria, such as accumulated plastic deformation, relative dynamic modulus, or equivalent plastic deformations, were used as the probabilistic evaluations of performance for the degraded structural resistance. The predicted results of relative dynamic modulus and residual strains after 300 cycles of freeze-thaw show very good agreements with the experimental results. The RSM result can be used to predict the probability of occurrence for designer specified critical values. Therefore, it is possible to evaluate the life cycle management of concrete structures considering the accumulated damages due to the cyclic freeze-thaw using the proposed prediction method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.649-662
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• 2017

Since 1980, the number of universities have increased dramatically. However, compared to the quantitative growth, the lack of qualitative growth has often been criticized. Students entering university are estimated to decrease by half in 2025 compared to 2014. In swift response to challenges with decreasing student enrollment, the first University Reform Evaluation (URE) for innovating universities, was conducted and resulted in controversy. Opposition is based on distrust of the overall system, questioning the reliability of the evaluation process utilized for the URE evaluation index. Meta-evaluation is required to improve the quality of evaluation, and standards developed prior to conducting the URE. Therefore, an interdisciplinary approach is necessary for the evaluation of human resource development. This research uses the interdisciplinary approach from the human resources development point of view in attempting to develop meta-evaluation criteria which will enable effective evaluation and analysis of URE. The meta-evaluation standard features the creation of the ERPOU model, by conducting literature review, and considers data from expert symposiums, and surveys. The ERPOU model consists of 5 evaluation fields, 21 evaluation categories, and 42 evaluation standards.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.338-352
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• 2019

This study was empirically intended to determine obstacle factors of the global start-up promotion for the international inroad of global start-up companies. The statistical analysis of reliability and validity was conducted through the AMOS structural equation model after surveying 300 companies over 5 years old into start-up in metropolitan cities across the country. The findings are as follows. The global start-up growth had a very close relationship with capital, product development period, quality and human resources. And capital as a start-up obstacle factor was insignificant, but development period, quality and human resources had a close relationship with industrial competitiveness. Even in the mediating effect of start-up obstacle factors on industrial competitiveness, capital was rejected, while quality, development period and human resources were adopted, having a positive mediating effect. These results demonstrate that capital is not a big obstacle to the management because of the continuous support of the government due to the nature of start-up companies, but growth is in a remote future as long as there is no independent product competitiveness to maintain the quality of products at a certain level and support of professional workforce to develop and commercialize them.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.207-216
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• 2019

The purpose of this study was to analyze the relationships among soccer media involvement experience(SMIE), purchase intent(PI) and continued participation intent(CPI) in soccer clubs and provide basic data necessary for the sustainable growth of soccer clubs and related goods companies. In order to accomplish such study purposes, the study employed a survey method with a total of 327 amateur soccer players residing in G metropolitan city. The data from the survey questionnaires were validated through exploratory factor analysis and reliability test. The data were analyzed through descriptive statistics, correlation analysis and multiple regression analysis at the significance level of .05. Accordingly, following findings were derived from the current study. First, the level of interest was the highest among SMIE factors, followed by challenge and technology. Second, the level of alternative evaluation was the highest among PI factors, followed by purchase recognition, problem recognition, and information search. Third, technology factor in SMIE had a negative effect on PI. Fourth, technology factor in SMIE had a positive effect on CPI. Lastly, among PI factors, problem recognition had a negative effect and alternative evaluation had a positive effect on CPI.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.173-188
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• 2023

This paper analyzed the Earnings management of firms selected as preliminary Unicorn. If a manager is selected as a preliminary unicorn firm, he can receive financial support of up to 20 billion won, creating a factor in managing the manager's earnings. The motive for management's earnings management is related to the capital market. Accounting information is used by investors and financial analysts, and corporate profits affect corporate value. Therefore, if the accounting earning is adjusted upward, the corporate value will be raised and investment conditions will be favorable. In this paper, earnings quality was measured by the modified Jones model of Dechow et al.(1995) by the ROA control model of Kothari et al.(2005) among the discretionary accruals estimated using an alternative accrual prediction model. Competing similar companies in the same market as the selected companies were formed, and the discretionary accruals were mutually compared to verify the research hypotheses, and only the selected companies were analyzed for the audit year and after the audit year. As a result of the analysis, it was found that the companies selected as preliminary unicorns had higher earnings management compared to the corresponding companies in question, which had a negative impact on the quality of accounting profits. It was found that the companies selected as preliminary unicorns continued to receive incentives for management's earnings management even after being selected. These results indicate that the companies selected as prospective unicorns are recognized for their value in the market through external growth rather than internal growth, and thus, incentives for management's earnings management to attract investment from external investors under favorable conditions are continuing. In the future preliminary unicorn selection evaluation, it was possible to present what needs to be reviewed on the quality of accounting earning. The implication of this paper is that the factors of management's earnings management eventually hinder investors and creditors from judging the reliability of accounting information. It was suggested that a policy alternative for the K-Unicorn Project, which enhances reliability were presented by reflecting the evaluation of earnings quality through discretionary accruals.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.59-77
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• 2012

This study focuses on predicting which firms will increase capital by issuing new stocks in the near future. Many stakeholders, including banks, credit rating agencies and investors, performs a variety of analyses for firms' growth, profitability, stability, activity, productivity, etc., and regularly report the firms' financial analysis indices. In the paper, we develop predictive models for rights issues using these financial analysis indices and data mining techniques. This study approaches to building the predictive models from the perspective of two different analyses. The first is the analysis period. We divide the analysis period into before and after the IMF financial crisis, and examine whether there is the difference between the two periods. The second is the prediction time. In order to predict when firms increase capital by issuing new stocks, the prediction time is categorized as one year, two years and three years later. Therefore Total six prediction models are developed and analyzed. In this paper, we employ the decision tree technique to build the prediction models for rights issues. The decision tree is the most widely used prediction method which builds decision trees to label or categorize cases into a set of known classes. In contrast to neural networks, logistic regression and SVM, decision tree techniques are well suited for high-dimensional applications and have strong explanation capabilities. There are well-known decision tree induction algorithms such as CHAID, CART, QUEST, C5.0, etc. Among them, we use C5.0 algorithm which is the most recently developed algorithm and yields performance better than other algorithms. We obtained data for the rights issue and financial analysis from TS2000 of Korea Listed Companies Association. A record of financial analysis data is consisted of 89 variables which include 9 growth indices, 30 profitability indices, 23 stability indices, 6 activity indices and 8 productivity indices. For the model building and test, we used 10,925 financial analysis data of total 658 listed firms. PASW Modeler 13 was used to build C5.0 decision trees for the six prediction models. Total 84 variables among financial analysis data are selected as the input variables of each model, and the rights issue status (issued or not issued) is defined as the output variable. To develop prediction models using C5.0 node (Node Options: Output type = Rule set, Use boosting = false, Cross-validate = false, Mode = Simple, Favor = Generality), we used 60% of data for model building and 40% of data for model test. The results of experimental analysis show that the prediction accuracies of data after the IMF financial crisis (59.04% to 60.43%) are about 10 percent higher than ones before IMF financial crisis (68.78% to 71.41%). These results indicate that since the IMF financial crisis, the reliability of financial analysis indices has increased and the firm intention of rights issue has been more obvious. The experiment results also show that the stability-related indices have a major impact on conducting rights issue in the case of short-term prediction. On the other hand, the long-term prediction of conducting rights issue is affected by financial analysis indices on profitability, stability, activity and productivity. All the prediction models include the industry code as one of significant variables. This means that companies in different types of industries show their different types of patterns for rights issue. We conclude that it is desirable for stakeholders to take into account stability-related indices and more various financial analysis indices for short-term prediction and long-term prediction, respectively. The current study has several limitations. First, we need to compare the differences in accuracy by using different data mining techniques such as neural networks, logistic regression and SVM. Second, we are required to develop and to evaluate new prediction models including variables which research in the theory of capital structure has mentioned about the relevance to rights issue.

• Journal of Korean Society of Forest Science
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• v.110 no.4
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• pp.648-657
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• 2021

This study was conducted to estimate the volume growth by forest type and major species using the national forest resource inventory and to predict the final age of maturity by deriving the mean annual increment (MAI) and the current annual increment (CAI). We estimated the volume growth using the Chapman-Richards model. In the volume estimation equations by forest type, coniferous forests exhibited the highest growth. According to the estimation formula for each major species, Larix kaempferi will grow the highest among coniferous tree species and Quercus mongolica among broad-leaved tree species. And these estimation formulas showed that the fitness index was generally low, such as 0.32 for L. kaempferi and 0.21 for Quercus variabilis. In the analysis of residual amount, which indicates the applicability of the volume estimation formula, the estimates of the estimation formula tended to be underestimated in about 30 years or more, but most of the residuals were evenly distributed around zero. Therefore, these estimation formulas have no difficulty estimating the volume of actual forest species in Korea. The maximum age attained by calculating MAI was 34 years for P. densiflora, 35 years for L. kaempferi, and 31 years for P. rigida among coniferous tree species. In broad-leaved tree species, we discovered that the maximum age was 32 years for Q. variabilis, 30 years for Q. acutissima, and 29 years for Q. mongolica. We calculated MAI and CAI to detect the point at which these two curves intersected. This point was defined by the maximum volume harvesting age. These results revealed no significant difference between the current standard cutting age in public and private forests recommended by the Korea Forest Service, supporting the reliability of forestry policy data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3772-3778
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• 2010

The leaders such as The Robert Foundation of the U.S., Social Firms U.K., EMES European Research Network worldwide are groping for the survival strategies of social enterprises and of their developmental methods with the utilization of social capital. Along with the way the world economy goes on, this study is first of all to empirically analyze how the diversity and strength of network as independent variables work with the studies of the survival of enterprises of Granovetter Mark, Burt Ronald, Coleman James, Peter Witt, Andreas Schroeter, Christin Merz, Helen Haugh, mainly concerned with the increase in employment, the increment in sales, delegation of authorization as dependent variables and secondly it is to present a theoretical possibility of optimizing the development of social enterprises. The object of this study consists of 25 companies recommended by experts out of the current national 295 social enterprises in 2009 through the analysis of sources of SPSS 12.0, appropriateness, reliability, interrelation, etc; besides, hypotheses are proved by multiple regression analysis. A result of the investigation indicates that there is the necessity of network in all the processes of the survival of enterprises, the growth in employment, the increase in sales, delegation of authorization; especially, it suggests that it is necessary to manage, maintain and develop primary factors relating to a variety of networks to improve sales, and relating to the intensity of network for the survival of corporations. At last, I think that this study could be a help to the strategies of utilizing social capital in order for many companies or nonprofit social organizations in Korea to develop into constant enterprises.