• Journal of the Korean Home Economics Association
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• v.38 no.2
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• pp.65-77
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• 2000

This study investigated the effect of socio-demographic variables and the ownership of asset and the other types of debts on the use of a specific type of household debt. Household debts were categorized into six types according to borrowing sources: debts from banks, other financial institutes, employers, private sources, Gye, and retailers. The 1996 Korean Household Panel Study were analyzed using logistic model. It was found that socio-demographic factors influenced differently on the probabilities of debt holdings according to the types of debt. There were interrelationships among the ownerships of a specific type of debt and other types of debt and asset.

• Journal of the Korean Home Economics Association
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• v.41 no.5
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• pp.1-13
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• 2003

This study examined the determinants of urban households' expenditures on alcoholic beverages, using double-hurdle models to distinguish between the decision to purchase (purchase decision) and the decision of how much to consume (expenditure decision). Data for this study were drawn from the 2000 Korean Household Income and Expenditure Survey. Households were likely to purchase alcoholic beverages with increasing of household income, tobacco expenditures, and household size. The age, sex, marital status, occupation, education level, type of house ownership, residing city were significantly related to the purchase decisions. Among those households which drink, as household income and tobacco expenditures increase, the age, sex (male), marital status (married), and education level of a household-head, house ownership, residing city (Seoul) were positively related to and the presence of young children were negatively related to the expenditure level of alcoholic beverages.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.10
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• pp.1738-1743
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• 2007

This paper addresses the bidding strategies of a pumped-storage hydro plant in an electricity market. Competitive bidding of pumping and generating of a pumped-storage plant is formulated in a game theoretic problem in accordance with the three different ownership of scheduling; Market Operator(MO), generating company(Genco), and combined type of MO and Genco. Optimal conditions for Nash Equilibrium are derived in the form of market prices during the scheduling periods. Simulation results show the different ownership models produce different schedules of pumping and generating, which correspond to the objective of the scheduling owner of a pumped-storage hydro plant.

• International Journal of Human Ecology
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• v.5 no.1
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• pp.9-21
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• 2004

This study attempted to identify the factors related to life insurance focusing on two different types of life insurance： term life insurance and cash-value life insurance. Based on the human capital, bequest motives theories, and decision under risk, a conceptual framework was developed. The results showed a support for the conceptual framework indicating that human capital, bequest motives as well as attitude toward risk were important factors in predicting each of life insurance ownership. In addition, the factors related to each type of life insurance were different. For term life insurance, the variables representing households' bequest motives were found to play an important role while the variables reflecting human capital theory had significant impact on cash-value life insurance holding.

• Journal of Information Technology Applications and Management
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• v.25 no.3
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• pp.1-15
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• 2018

This study is to find effects between the level of preparation of factors and the satisfaction of successors. Independent variables are the level of preparations of successors and divided by three detailed type, the level of preparation of management ability, the level preparation of positive succession attitude and the level of preparation of ownership succession. A dependent variable is the satisfaction of successors and a moderating variable is the level of communication between successees and successors. This study was undertaken in South Korea among 59 successors in 59 family firms. A total of 53 samples were available to use for the research. The empirical results indicate that the level of preparation of successors, management ability, positive succession attitude and ownership succession, is associated to the satisfactions of successors. Additionally, the moderating variable has not the relationship to the dependent variable as a moderating variable, but the result showed a strong relationship between the level of communication and the satisfaction of successors.

• The Journal of Industrial Distribution & Business
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• v.12 no.2
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• pp.41-52
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• 2021

Purpose: This study aims to provide implications for the government's housing supply policy by analyzing the factors that determine the type of real estate holding and household debt. This study started from the awareness that the determinants of household debt differ depending on the type of real estate holding. Research design, data and methodology: Real estate ownership type was classified and analyzed into 4 models: model 1 (1 household 1 house and self-resident), model 2 (1 household multiple real estate ownership and self-resident), model 3 (1 household 1 house and rent residence), model 4 (1 household holds a large number of real estate and rent residence). The analysis method used multiple regression analysis. The dependent variable was household total debt. As independent variables, household debt, annual gross household income, financial assets, real estate net assets, annual repayment, demographic & residential characteristics were used. Results: 1) Model 4 has the highest household debt and the highest gross income, Model 2 has the most real estate mortgage loans and real estate net asset, and Model 1 has the highest real estate mortgage payments. 2) The positive factor of common household debt determinants is real estate net assets, and the negative factor is financial assets. 3) It was the net assets of real estate that acted as a positive factor in common for the four models. In other words, the more financial assets, the less household debt. It was analyzed that the more net assets of real estate, the more household debt. The annual repayment of financial liabilities had no influence on household debt, while the annual repayment of loan liabilities and household debt had a positive relationship. Conclusions: 1) It is necessary to introduce benefits and systems that can increase the proportion of household financial asset. Specific alternatives include tax benefits and reduced fees for financial asset investment. 2) In the case where a homeless person prepares one house for one household, it is necessary to prepare various support measures according to the income level. The specific alternative is to give additional points for pre-sale or apply an interest rate cut incentive for mortgage loans.

• Journal of Families and Better Life
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• v.22 no.2
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• pp.85-95
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• 2004

The purpose of this study was to classify the household financial strategies and find out variables affecting the type of the household financial strategies. The data of 3994 households from Korean Labor and Income Panel Study(1999-2000) were used. The major findings were as follows: (1) the household financial strategies were Residual Saver Type(44.6%), Unformal Institute Saver Type(13.3%), Financial asset Saver Type(16.7%), Real estate Saver Type(13.4%) and Diversities(12.0%). (2) The household financial strategy types were changed rapidly during short term. (3) In 3994 households, the variables which influence on the change of the household financial strategies were education, job, numbers of children, place of residence, home ownership. Similarly, in each type, the change of household financial strategies was significantly different according to the household characteristics variables.

• Journal of the Korean Home Economics Association
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• v.35 no.2
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• pp.95-110
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• 1997

The purpose of this study were 1) to identity housing fund by the type of housing mobility and 2) to analyze the variable contributing to housing fund by the type of housing mobility. For these purposes, the 1993 KHPSD data was used and the sample in this study consisted of 2,796 couple households. Statistics employed for the analysis were frequencies, means, univariate analysis and multiple regression analysis. As the results, the composition and the amount of housing fund according to the type of housing mobility, were different respectively. Housing fund was consisted of previous housing sales price, savings deposits, loans, inheritance, subsidy, and personal debts. Households who already own houses used housing finance for their housing fund easily while renters were at a disadvantage to use housing finance. Moreover, among the contributing factors, home ownership, number of family member, residence, average monthly income, average monthly expenditure, husband's education attainment, satisfaction with housing, husband's job, and the type fo housing were positively associated with the amounts of housing funds. However, duration fo residence tended to negatively related to the amounts of housing funds.

• Knowledge Management Research
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• v.23 no.4
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• pp.233-250
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• 2022

This paper aims to verify how the knowledge sharing culture of hotel companies affects psychological ownership awareness and organization citizenship behavior through knowledge sharing of millennials and generation Z employees. It also assumed that two types of knowledge, such as tacit knowledge and explicit knowledge, would have the effect of controlling knowledge sharing culture and knowledge sharing. This paper collected data from 138 employees working in hotels in the metropolitan area. As a result of the empirical analysis, it was found that the knowledge sharing culture of hotel companies influenced knowledge sharing. In addition, it was confirmed that it had a positive effect on psychological ownership and organizational citizenship behavior. In the case of hotel companies, it was found that the tacit knowledge was more effective in inducing knowledge sharing among employees that the explicit knowledge. If a company provides a knowledge-sharing culture using various forms of tacit knowledge strategies, it is expected to increase the organizational citizenship behavior and psychological ownership of MZ generation employees.

• Health Policy and Management
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• v.14 no.2
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• pp.1-16
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• 2004

The study purpose was to find which factors affect selection of hospital network types. This study used the 1998 American Hospital Association Annual Survey Database from Health Forum. Among these U.S. hospitals, the researcher selected hospitals located in Metropolitan Statistical Areas. Therefore the final observation cases for analysis are 1,971 Metropolitan Statistical Area hospitals in the United States. To identify significant variables influencing hospital network types, the study used proportional odds logistics regression model on population size, Health Maintenance Organization penetration rate, and market competition rate of area including a hospital, types of hospital ownership, hospital bed size, proportion of Medicare patients and Medicaid patients in total hospital patients, and occupancy rate. Contrary to conventional wisdom, selection of hospital network types was influenced by population size of area which a hospital located, types of ownership, hospital bed size, and proportion of medicare patients rather than Health Maintenance Organization penetration. Population size 1,000,000-2,499,999 had the highest probability of selecting type IV (clinical-vertical integration) from an independent hospital, and a religious group owned hospitals and for-profit owned hospitals had the highest probability of selecting Type IV (clinical-vertical integration) from an independent hospital. A bed size had positive relation on selecting Type IV (clinical-vertical integration) from an independent hospital. Unlikely general belief that the selecting types of hospital network was determined by the change of health insurance policy such as Health Maintenance Organizations and Preferred Provider Organizations, the types of hospital network were influenced by community characteristics such as population size, and hospital characteristics.