• Korean Journal of Human Ecology
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• v.14 no.6
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• pp.1047-1058
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• 2005

The objective of this research is an investigation and analysis of life style and preference trend for dwelling for 450 university students. The major findings are as follows: (1) The life style is classified into 3 categories according to the priority of fashion and privacy, brand and social relationship, and family and domesticity. Women give priority to fashion and privacy as well as family and domesticity than men do. (2) Dwelling awareness is grouped into 3; one for pursuing the value of asset, another with the inclination to residential transition and the other for preferring for a detached house. Women have a stronger inclination to the economical value of house and prefers to live in the big city than men do. (3) As a factor affecting the dwelling preference, men give priority to the exterior condition such as environment, but women do the interior condition like the size of house. Men and Women showed various preferences for housing style such as detached house, villa, apartment and commercial complex dwelling, which is accord with the present housing style.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.127-136
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• 2017

The strategy that using data collection from Netflix uses for its services is different from traditional human interaction and the communication, and it is represented by the systematic algorithm that rooted from intelligent information system based on the human interaction and communication. These characteristics allowed the study to reflect the influence of 'Asset specificity' which affects the continuous consumption of the media services of Netflix users through economic psychological analysis based on transactional cost economics. The result from the survey on actual Netflix users, three types of specificity (Space specificity, time specificity, relational specificity) reduced perceived searching cost whereas perceived instrumentality has increased, eventually reinforces the commitment to the service. This implies that the service characteristics of Netflix, trying to communicate with the individuals based on intelligent information system are distinct from the existing platform services and it gives the significance of work very effective for user's continuous consumption of the media services.

• Korean Journal of Human Ecology
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• v.11 no.1
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• pp.31-43
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• 2002

The purpose of this study was to examine the financial status of the small business households, and to analyze their investment behaviors according to socio-economic variables like age, income, education, job satisfaction, and region. The size of total sample was 2167 with basis of data analysis of Korean Household Panel Study from Daewoo Economic Research Center. Descriptive Statistics were used to analyze their financial status according to the socio-economic variables. The results showed that small business family's financial status was differentiated according to age, income, job satisfaction, and region. Households' investment on the primary financial institute such as bank was differentiated by income, level of education, and job satisfaction. The amount of investment on secondary financial institute such as mutual fund was differentiated by income, age, and region. The households' investment for insurance was affected by all socio-economic variables except region and not significantly different according to socio-economic variables for stock and bonds. The amount of net-asset for households was affected by the level of education, age, and income and the amount of debt most by age and income. The results of this study was useful to develop the estimation tool for the small business households credit and also provides the basic informations for the financial assistance of those households.

• Child Health Nursing Research
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• v.21 no.4
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• pp.311-319
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• 2015

Purpose: To reilluminate academic fundamentals and missions of child health nursing (CHN). Methods: Critical review of literature. Results & Conclusion: The academic fundamentals of CHN were analyzed for three different basis; philosophical, theoretical, and legal & ethical basis. The philosophical basis of CHN was summarized as six beliefs; A child is an important human resource and a valuable asset for future society; A child should be respected as a unique and dignified human being; A child has his/her own unique developmental needs; A child is a vulnerable client and should be advocated for; Atraumatic care should be provided to each child; Child health care should be family-centered. The essence of the theoretical basis were reilluminated into caring theory and client advocacy theory. The legal basis of CHN was stated as pertaining to the various child-related laws and international conventions, such as UN Convention on the Rights of the Child. The ethical basis were stated as 4 principles of biomedical ethics and The UNESCO Universal Declaration on Bioethics and Human Rights. The mission of the CHN was stated and the role of CHN was described as one who is a child rights advocator, professional caring service provider, policy maker, health educator, researcher.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.39-55
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• 2019

Recently banks and large financial institutions have introduced lots of Robo-Advisor products. Robo-Advisor is a Robot to produce the optimal asset allocation portfolio for investors by using the financial engineering algorithms without any human intervention. Since the first introduction in Wall Street in 2008, the market size has grown to 60 billion dollars and is expected to expand to 2,000 billion dollars by 2020. Since Robo-Advisor algorithms suggest asset allocation output to investors, mathematical or statistical asset allocation strategies are applied. Mean variance optimization model developed by Markowitz is the typical asset allocation model. The model is a simple but quite intuitive portfolio strategy. For example, assets are allocated in order to minimize the risk on the portfolio while maximizing the expected return on the portfolio using optimization techniques. Despite its theoretical background, both academics and practitioners find that the standard mean variance optimization portfolio is very sensitive to the expected returns calculated by past price data. Corner solutions are often found to be allocated only to a few assets. The Black-Litterman Optimization model overcomes these problems by choosing a neutral Capital Asset Pricing Model equilibrium point. Implied equilibrium returns of each asset are derived from equilibrium market portfolio through reverse optimization. The Black-Litterman model uses a Bayesian approach to combine the subjective views on the price forecast of one or more assets with implied equilibrium returns, resulting a new estimates of risk and expected returns. These new estimates can produce optimal portfolio by the well-known Markowitz mean-variance optimization algorithm. If the investor does not have any views on his asset classes, the Black-Litterman optimization model produce the same portfolio as the market portfolio. What if the subjective views are incorrect? A survey on reports of stocks performance recommended by securities analysts show very poor results. Therefore the incorrect views combined with implied equilibrium returns may produce very poor portfolio output to the Black-Litterman model users. This paper suggests an objective investor views model based on Support Vector Machines(SVM), which have showed good performance results in stock price forecasting. SVM is a discriminative classifier defined by a separating hyper plane. The linear, radial basis and polynomial kernel functions are used to learn the hyper planes. Input variables for the SVM are returns, standard deviations, Stochastics %K and price parity degree for each asset class. SVM output returns expected stock price movements and their probabilities, which are used as input variables in the intelligent views model. The stock price movements are categorized by three phases; down, neutral and up. The expected stock returns make P matrix and their probability results are used in Q matrix. Implied equilibrium returns vector is combined with the intelligent views matrix, resulting the Black-Litterman optimal portfolio. For comparisons, Markowitz mean-variance optimization model and risk parity model are used. The value weighted market portfolio and equal weighted market portfolio are used as benchmark indexes. We collect the 8 KOSPI 200 sector indexes from January 2008 to December 2018 including 132 monthly index values. Training period is from 2008 to 2015 and testing period is from 2016 to 2018. Our suggested intelligent view model combined with implied equilibrium returns produced the optimal Black-Litterman portfolio. The out of sample period portfolio showed better performance compared with the well-known Markowitz mean-variance optimization portfolio, risk parity portfolio and market portfolio. The total return from 3 year-period Black-Litterman portfolio records 6.4%, which is the highest value. The maximum draw down is -20.8%, which is also the lowest value. Sharpe Ratio shows the highest value, 0.17. It measures the return to risk ratio. Overall, our suggested view model shows the possibility of replacing subjective analysts's views with objective view model for practitioners to apply the Robo-Advisor asset allocation algorithms in the real trading fields.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.339-348
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• 2022

As the Chinese franchise industry grows rapidly, efforts to find a source of competitive advantage continue to be made. Establishing a knowledge transfer system is important in the franchise industry as a source of competitive advantage. However, research in China was insufficient. This study is to explore factors and consequential factors for establishing a knowledge transfer system in the franchise industry. As a result of this study, first, it was found that not only human assets but also system assets are important for the management of knowledge transfer systems in China. Therefore, investment in system assets must proceed first. In addition, it could be seen that the management of the knowledge transfer system, human assets, and system assets affect the satisfaction of the franchise's transaction relationship and consequently improve franchise performance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1089-1097
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• 2020

Nowadays, technology and information are developing rapidly. It compels an organization or a company strive to excel in its field. In the Industrial Revolution 4.0 era, companies must maintain their assets and technology to face the competition. One asset that should be paid attention to is human resources. Human resource has two important variables, namely Organizational Citizenship Behavior (OCB) and Employee Engagement (EE). This study aims to analyze the relationship between OCB and EE on Employee Performance (EP) in the manufacturing industry in Tangerang. This study is conducted using a quantitative method with 200 respondents. The data is collected by distributing questionnaires to respondents, which is then analyzed using Structural Equation Modeling (SEM) with AMOS 23 software. The result of this study indicates that OCB has a significant effect on EE and EP. This study also finds that employee engagement has a significant effect on employee performance and can mediate the relationship between OCB and EP. From these results, the implication that can be taken is that the manufacturing industry in Tangerang must pay attention to their employees for them to develop OCB and EE, and eventually increase their performance towards the organization.

• Journal of the Korean Society for information Management
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• v.28 no.4
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• pp.279-307
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• 2011

Intellectual capital is the driving force for the competitive advantage and durability of the public library. This asset consists of the library members' competences, the organizational structure constructed by the members, and the interrelationships among the people sharing the same interests. These are called human capital, structural capital and social capital in the respective order. The purpose of the study was to provide foundational information for the public library's intellectual capital assessment as well as creating an experimental assessment model. It analysed the three characteristics of the capital, which generated an assessment index. In addition, it identified the relationship between the components of the intellectual capital and performance were discovered through empirical study to improve the assessment system.

• The Research Journal of the Costume Culture
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• v.17 no.1
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• pp.177-188
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• 2009

SCM as the important marketing strategy enhance the firm's efficiency and compatibility in global market environment such as global outsourcing. Firms adopted SCM realized the need to evaluate precisely the performance of SCM. In spite of importance of SCM, there was not much intention and research to measure SCM performance in textile fashion industry. Therefore, the purpose of this case study was to measure performance of supply chain management in textile fashion business using BSC(Balanced Score Card) to measure not only financial perspective but also non-financial perspectives such as customer perspective, internal business perspectives, financial perspective, and innovation & learning perspective. The questionnaire developed by the reviews of the literature was adopted for this study. The results of this study showed that SCM performance was enhanced from the point of customer perspective(cost, quality, time, service), financial perspective(cash cycle time, inventory turn over, inventory obsolescence, return on asset, return on investment, capacity utilization), and innovation & learning perspective(cost for human resource management, service for human resources). But there was same performance level regarding internal business perspective(lead time, cost for manufacturing process, product quality control, productive flexibility for time, quantity, and variety). Therefore, we should keep close relationship and two way communication among supply chain members to promote better SCM performance.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.84-92
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• 2021

Care services are a significant asset in human life. Care in its overall nature focuses on human needs and covers several aspects such as health care, homes, personal care, and education. In fact, care deals with many dimensions: physical, psychological, and social interconnections. Very little information is available on estimating the cost of care services that provided to orphans and abandoned children. Prediction of the cost of the care system delivered by governmental or non-governmental organizations to support orphans and abandoned children is increasingly needed. The purpose of this study is to analyze the care cost for orphanage organizations in Saudi Arabia to forecast the cost as well as explore the most influence factor on the cost. By using business analytic process that applied statistical and machine learning techniques, we proposed a model includes simple linear regression, Naive Bayes classifier, and Random Forest algorithms. The finding of our predictive model shows that Naive Bayes has addressed the highest accuracy equals to 87% in predicting the total care cost. Our model offers predictive approach in the perspective of business analytics.