• Journal of Families and Better Life
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• v.33 no.1
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• pp.41-59
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• 2015

The purpose of this study was to explore the patterns of investment on children, analyze the differences in academic performance and social relations by the patterns of investment on children, and variables that influence academic performance and the social relations of children. To achieve such research objectives, the raw data from the 2012 Korean Child and Youth Panel investigation were used for the research. The analytical subjects of this research were the parents and the third-grade students of a middle school and the analytical methods used were: frequency, percentage, average, standard deviation, Chi-squared test, ANOVA, Duncan's Multiple Range test, K-mean cluster, and multiple regression analysis depending on the research purpose. The results of the research are as follows. Firstly, as a result formalizing investment pattern on children, there were five patterns of: experience oriented investment, passive experience investment, private education oriented investment, aggressive investment, and passive investment patterns. Secondly, for the patterns of investment on children, the level of academic performance was found to be the highest within the aggressive investment and the experience oriented investment types. The social relation level was found to be the highest with the experience oriented investment, with it being low in private education oriented investment and passive investment patterns. Thirdly, for the factors influencing the academic performance of the children, it was found to be higher in aggressive investment, private education oriented investment, experience oriented investment and passive experience investment compared to passive investment. Some sociological factors were also found to be influential such as mother's age, father's education, sex of children, school area of children, type of house, and income. For the social relation level of the children, the factors of the aggressive investment, passive experience investment, and the experience oriented investment as well as the sociological factors by sex of children and income level are influential.

• Journal of Distribution Science
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• v.13 no.11
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• pp.31-37
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• 2015

Purpose - This study is an effort to assess the role of behavioral biases in investment decision making, specifically for mutual funds, and the moderating role of the investor. Individual investment behavior is concerned with choices about purchasing various securities. However, behavioral finance disputes the concept of perfect rationality and identifies psychological factors and their impact on decision-making. Research design, data, and methodology - A survey questionnaire was designed and used to collect responses using a judgmental sampling technique from 290 investors in the Gwalior Region. Cronbach's Alpha, factor analysis, and linear regression were all used to test the influence of behavioral biases on investment decision. Results - We found that the behavioral biases have a positive impact on investment decisions. Conclusions - This study's results identified three factors influencing investor behavior(rationale, investment skills, and profit making) and four factors influencing investor decisions (profit maker, market analysis, investment plan, seller). The overall results of the study also show that there is no significant relationship between investor behavior and investment decisions by gender in the market.

• Korea Trade Review
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• v.44 no.3
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• pp.123-136
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• 2019

This study investigates the facilitating factors of FDI (foreign direct investment) inflows in 15 developing countries of three continents (Asia, Latin America, and Africa) using fixed-effect panel regression analysis with 30-year macro socio-economic data. The facilitating factors of FDI inflows in each continent differed. In Asia, labor compensation, GDP, consumer expenditure, human capital, and export facilitated FDI inflows in decreasing order, as did export, total factor productivity, GDP, and human capital in Latin America, and investment expenditure, human capital, government expenditure, and export in Africa. Most importantly, the character of cost saving efficiency-seeking investment was very strong in Asia. Also, third-party export-oriented investment and economic growth-oriented investment were shown in Latin America and Africa, respectively.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.845-853
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• 2021

The stock market shows the current health of an economy, and investment performance represents it. This study aims to clarify the relationship between financial behavior and investment decisions as well as its impact on investment results. Determine the influence of behavioral factors on individual investors' investment decisions and investment performance on the Vietnam stock market. The study surveyed 250 investors. The main analytical methods used are Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). Research results show that Heuristic, Prospect, Market, and Herding directly and positively affect investment decision-making. Besides, the above factors have a direct and positive effect on investment performance. In particular, the Prospect factor has the strongest influence on investment decision-making and investment performance. The major findings of this study suggested that the important role of Heuristic, Prospect, Market, and Herding on Investment Decision-making and Investment Performance. Prospect had the strongest impact on Investment decision-making (β = 0.275). Heuristic had the second strongest impact (β = 0.257), then Herding (β = 0.202), and finally Market (β = 0.189) had the weakest effect. Regarding Investment Performance, the Prospect factor has a higher degree of impact than Heuristic Herding and Market.

• Korea Trade Review
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• v.46 no.1
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• pp.1-21
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• 2021

The main purpose of this research is to analyze the changes in investment motivation by year through time series and cross-sectional analysis of the factors and investment decisions of Korean manufacturing companies. According to the investment pattern for Asean from the 1980s to the 19th, the first expansion period was 82 to 86, the average increase in overseas investment for securing foreign raw materials due to the second oil shock, and the second expansion period was a gradual increase in exports to the U.S. in 1987 to 1996. During the first stagnation period, direct investment in Asean stagnated in the aftermath of the 1998-05 Asian crisis, and in the third expansion period, part of the production facilities invested in China were relocated to Asean, increasing Asean's investment to become Korea's largest manufacturing investment in 17. Korea's proportion of investment in Asean surpassed that of mass investment since 10 years ago, and the proportion of investment in manufacturing sector has been transferred from China to Asean, and after 17 years, it has served as an overseas production base connecting China. As such, The main purpose of the research will be to extract the determinant factors and key factors for overseas direct investment and investment patterns in conjunction with global manufacturing companies' production base relocation and investment trends through empirical analysis. This research paper gave basic reference to the motivation and determinant of investment 16 years ago, and analyzed the changes in investment motivation by year and content through empirical analysis, contributing some reasonable purpose to the decision of companies and policy makers interested in overseas direct investment.

• The Journal of Fisheries Business Administration
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• v.34 no.1
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• pp.31-44
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• 2003

The purpose of this study is to investigate empirically interaction among the financing decision, investment decision, and profitability by using 41 fisheries corporations in Korea, and to suggest implications of the empirical results for government's financial policy for fisheries corporations. Sample period is 19 years from 1982 till 2000. This analysis method employs the two stage least squares(2SLS) estimation method. From the results of regression analysis by 2SLS estimation method, the adjusted $R^2$ values were high and the overall F values indicated significant. The empirical results of this study are as follows; (1) determinant factors of capital structure model for fisheries are profitability, firm-size, fisheries investment of total asset, and business risk. As pecking order theory explains, the higher is profitability the lower is debt ratio. The larger firm-size, the higher is debt ratio. The higher is fisheries investment of total asset and business risk, the higher is debt ratio. (2) determinant factors of investment model for fisheries are the change of sales, business risk, and debt ratio. These factors have positive relation to fisheries investment of total asset (3) determinant factors of profitability model for fisheries are fisheries investment of total asset and debt ratio. These factors have negative relation to profitability. On the basis of analysis results, on the government's financial policy for fisheries corporations, I suggests that with interest rate reduction, the government should lend more funds to solve the crisis in the financial structure of the fisheries firms

• Journal of Korea Trade
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• v.26 no.4
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• pp.83-97
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• 2022

Purpose - In this paper, we, taking South Korea's foreign direct investment in RCEP partners as an example, will examine its investment efficiency in these countries and analyze the main influencing factors, making suggestions for further liberalizing and facilitating its investment in and even for promoting its trade and economic cooperation with them. Design/methodology - In this study, we look at the panel data of South Korea and the other 13 RCEP countries (Brunei excluded) from 2000 to 2019 and apply the stochastic frontier analysis to measure its foreign direct investment efficiency and explore the influencing factors in RCEP countries. We examine the investment potential of South Korea in these places. Findings - We find that South Korea's average investment efficiency in RCEP countries reached 0.62, indicating large investment potential. We also find that its investment efficiency in RCEP partners was heterogeneous. Our study reveals that South Korea's foreign direct investment is significantly positively correlated with the market size and population of the two countries, as well as with whether the host country has a coastline and rich natural resources, while negatively with geographic distance. It shows that free trade agreements, economic freedom, and regulatory quality play significant roles in improving investment efficiency. Originality/value - Through theoretical and empirical analysis, we deal with the efficiency and influencing factors of South Korea's direct investment in RCEP partners, proposing new drivers for facilitating its trade and investment in these countries and comprehensively evaluating the efficiency and revealing the trend of its FDI in these countries. In this paper, we put forward a solid theoretical basis for empirical analysis of the future economic and trade development between South Korea and its RCEP partners and give objective insights for further improving its foreign direct investment efficiency and tapping its investment potential.

• International Journal of Contents
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• v.6 no.4
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• pp.69-78
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• 2010

In recent years, many leading corporations are actively adopting IT as competitive resources to improve productivity and processes efficiency with strategic alignments. In effect, IT investment also continues to increase. As a vast growth of IT investment, questions and criticism on recent IT investment results are also rapidly being raised. Especially, improper decision making and management on IT investment may cause negative impact on the company's reputation and finances, therefore companies need reasonable and wise investment decision making on new IT projects. This study applies the conceptual framework of IT governance to IT investment decision making cases to examine how IT investment governance influences the quality of IT investment decision making and how business-IT strategic alignment affects the quality of IT investment decision making. This paper contributes to identify the main factors for reasonable and effective IT investment decision making and expected to provide proper guidelines for IT investment decision making.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.27-38
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• 2018

The purpose of this study is to find out common investment decision factors for CVC's invested technology-based startups and analyze them. We examined 17 CVCs that invested in technology startups for three years and six months from 2015 to June 2018. As a result, the final 9 CVCs that can be used in this study were confirmed and 188 companies were analyzed. This study was conducted as a case study to propose and demonstrate CVC investment objectives and investment decision factors analysis model. The results of this study are as follows. First, CVC focused on strengthening investment. Second, In 2015, Invested in an average of 19 months of technology-based startups. In recent years, we invested in 36 months of proven technology-based startups. Thirdly, ICT service was the main business type of the invested startups. Fourth, the investors were concentrated on the stage of Series A~B. It is observed that CVC investment determinants have a significant impact on product or service and parent company relations. In addition, it was found that factors such as innovation, business planning competency, enterprising, strategic competency, leadership, and opportunity recognition competency were influential factors for the startups of invested companies and it was found that these factors are important for CVC investment decision. Understanding of CVC investment determinants presented in this study is based on the establishment of the investment process of the investee, entrepreneurship and management education program. The results of this study can be applied to the selection of excellent startups, entrepreneurship education programs, mentoring, development of coaching guidelines, and establishment of investment process of other investment institutions when investing in CVC.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.348-362
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• 2021

Real estate investment behavior factors are divided into profitability, risks (stability), liquidity, and regulation (deregulation) factors. The sub-attributes of the investment behavior factors are generally formative indicators. Unlike reflection indicators, formative indicators can identify not only the influence of investment behavior factors on dependent variables, but also the influence of sub-attributes on dependent variables. Therefore, theoretical and practical needs of comparing the influences of factors and sub-attributes on dependent variables has been suggested. In this study, in order to provide information that help marketing for lots shopping building, both the causality between investment behavior factors and investment intention and the causality between sub-attributes and investment intention were comparatively studied for each of the three investor groups: the whole group, the group with high investment intention and the group with low investment intention. For this purpose, a survey and multiple regression analyses were conducted on 237 existing investors in the customer DB of a company that have been developing and selling lots shopping building in the metropolitan area and Sejong City. At the factor level, the effects of profitability and regulation were significant in the whole group and the group with low investment intention, but the effects of risk and liquidity were significant in the group with high investment intention. At the sub-attribute level, all three groups showed different results.