• Journal of the Korean Home Economics Association
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• v.24 no.3
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• pp.143-153
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• 1986

This study is intended to develop a scale to measure familism. Construction of this scale is based on a sample of 448 married males and females living in Seoul. This scale to measure familism is developed by employing a type of item analysis method called correlation analysis. 13 items are selected by correlation analysis, and these are found statistically significant even by analysis based on the criterion of internal consistency. Validity of this scale is evidenced by logical validation, jury opinion and independent criteria. Reliability estimate assessed by Cronbach's alpha coefficients is .759. This scale comprises the following 4 aspects of familism: 1) Support for filial piety and ancestor worship. 2) Integration of individual activities into family ones for achievement of family objectives. 3) Obligation to support individual family members and give them financial assistance when needed, on the assumption that properties such as land, money, etc. belong to family. 4) Mutual aid in psychological and social aspects between parents and married children, and married children and their married siblings. It is concluded that this familism scale represents an improvement on other measure of familism, but that a number of methodological issues remain to be further studied.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.4
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• pp.199-211
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• 2009

The purpose of this study is to elicit influential factors on accepting IPTV services and define the casual relationship between the factors, and "user satisfaction", "re-use intention", "stranger recommendation intention", in an attempt to provide useful guidelines to IPTV carriers, contents providers and equipment makers for their forming IPTV service models and marketing strategies. For this end, the theoretical background of this study has been brought from relevant literature, and theoretical study models have been established by logical reasoning of the interrelation among diverse components. Then, the established models have been analyzed by using statistical packages "SPSS(12.0), LISREL(8.72)". Finally theoretical and practical significance and future study direction have been suggested. To make sure of effective validity of IPTV service adoption models above, empirical studies should be made continuously. And then vertical and horizontal studies at a specific point would show ever-changing causal relationship, helping to promote financial outcome of relevant companies and organizations.

• Journal of the Korea Safety Management & Science
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• v.5 no.1
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• pp.13-31
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• 2003

This provided a basic frame to analyze the investment effect on the road, railroad, airport and port as a national dimension but it still has a limitation to analyze the specific economic and financial validities to consider the characteristics of the traffic facilities within the area. Conclusively, the aims of this study provide the reasonable evaluation guidelines effectively to the local automatic groups, especially Chungju in the frame of the present evaluation guidelines. We provide the adaptive alternatives on the present systems which are difficult to adapt to the present investment evaluation guidelines; the estimation method of the social economic index and the estimation method of the traffic demand. Additionally, we discuss the research method of the passage actual state for a reasonable estimation of the traffic demand. The result of this study will be activated for the validity check and construction plan of the reasonable traffic investment plan of Chungju city.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.237-247
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• 2010

Global financial crisis at 2008 bring about the great change to the company itself and its environment. In these days, the company needs change to the ambidextrous organization, which have more efficiency processes also have more attractive products and services. Ambidextrous organization purse exploiting and exploration innovation program. For the existing process's incremental and rapid improvement, the exploiting innovation programs are used such as 6 Sigma program and so on. For the new business model's searching and developments, the exploration innovation programs are used such as blue ocean program and brainstorming and so on. In this paper is presented the new procedures, for the new business model development, combining exploration and exploiting innovation programs. To obtain the creative business ideas, various exploration methodologies are adopted based on 6 Sigma's methodology, The new procedures are applied to the venture company and examined its validity.

• Korean Journal of Child Studies
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• v.25 no.6
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• pp.53-68
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• 2004

The purpose of this study was to develop an instrument for adolescent's image about their father. The preliminary survey was performed for 318 adolescents in Seoul. It was a free-writing style survey for adolescent's image, feeling, and thoughts about their father. The main survey which included 121 contents were performed for 400 students in Seoul and finally 75 contents were selected by the results of factor analysis and contents validation. The contents were categorized into 10 sub-variables based on previous studies. 10 sub-variables are Father of mature character, Father who do love me, Father who is devoted to his parents, Father as a friend, Father as a counsellor, Father who is very domestic, Father who is exhausted with work, Father who is hard to be familiar for me, Father with financial competence, Father responsible for supporting the family. This study showed construct validity and concurrent evidence because the correlation among the sub-variables and total score were high.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.379-389
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• 2019

The study empirically investigates financial factors that may influence on corporate R&D intensity during the post-era of the global financial turmoil (from 2010 to 2015) to mitigate possible spillover effect associated with the crisis. Concerning the empirical research settings of the study, chaebol firms listed in the KOSPI stock market are used as sample data with adopting various econometric estimation methods to enhance validity of the results. In the first hypothesis test, it is found that there exist inter-industry financial differences in terms of the ratio of R&D expenditure across all the sample years, but the statistical differences may arise from only a few domestic industries beloning to the high-growth sector. Moreover, it is also interesting to identify that, for the high-tech sector, 3 explanatory variables such as R&D intensity in a prior year, firm size and change in cash holdings are proved to be financial factors to discriminate between chaebol firms and their counterparts of non-chaebol firms, whereas a proportion of tangible assets over total assets as well as the former two variables are shown to be significant factors on the R&D intensity for the low-tech sector.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.147-154
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• 2021

The pandemic age came to us after the COVID19 broke out in the early of 2020, which resulted in many changes in our everyday life. One of the changes is non-contact transactions in economic activities, especially contact-free financial transactions are ever-increasing activities in the pandemic age. In non-contact financial transactions, security and trust are important issues that users are concerned about the most. So the paper examines how security and trust have effects on the attitudes of bank customers who use mobile banking applications on their smartphones. The study conducted factor ananlysis to extract research constructs using survey data gathered during Nobember of 2020 through February of 2021 across the nation. After extracting the constructs, the study checked validity, sampling adequacy, and internal reliability with KMO, Bartlett's test, and Crombach Alpha respectively. To make sure the purpose of the study, I do regression analysis. All factors of attitude had impacts on willingness on both of transactions and purchasing financial products. The results could give guidelines banks which want to attract more customers in open-banking environment through ever-more secure and trusty mobile banking application.

• Health Policy and Management
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• v.9 no.1
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• pp.156-177
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• 1999

The current method of rate adjustment for inflation is based on the evaluation of the financial performance of hospitals. The method has the disadvantage such as too complicated, expensive process as well as low reliability. This study, therefore, develops the 'Korean Medical Insurance Economic Index(MIEI)' as a new model for the rate adjustment with the use of the macro economic indices. In addition, we calculate the 1992∼1998 rate adjustment with the MIEI, and examines the validity of the MIEI by comparing with the conventional method. Medical costs are classified into nine categories : physician salaries, nurse·pharmacist·medical technician salaries, assistants & others salaries, material cost(by imports), material cost(by domestics), depreciation & rent paid(by imports), depreciation & rent paid(by domestics), power utilities, other administrative costs. Then the category weight which is the ratio of category in the total cost is calculated. Macro economic indices are selected for each cost category in order to reflect the concept of the each cost category and inflation during the year of 1992∼1998. Finally MIEI which integrate all category according to the category weight and selected macro indices is calculated. The mean of hospital MIEI which weighting by amount paid by insurers was cacluated. The result from the application of empirical data to the MIEI model is very similar to that of the current method. Furthermore, this method is very simple and also easy to get social consensus. This MIEI model can be replaced the current method based on the analysis of the financial performance for the adjustment of medical fees.

• Journal of Technology Innovation
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• v.21 no.2
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• pp.255-283
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• 2013

Despite its theoretically and practically important value, the concept of technological innovation orientation has not been theoretically well established and thus has not been operationalized appropriately in previous studies. Given such a gap in prior research regarding technological innovation orientation, this study proposed a refined conceptualization of technological innovation orientation and a new measurement instrument for capturing the refined concept of technological innovation orientation. More specifically, this study conceptualized technological innovation orientation as having two components of proclivity to technological leadership and openness to technological innovation and developed a measurement instrument for operationalizing the two-dimensional concept of technological innovation orientation. Based on the proposed conceptualization and operationalization of technological innovation orientation, this study also investigated the relationship between technological innovation orientation and firm performance. Based on a sample of 97 Korean IT SMEs, the results demonstrated a high reliability and validity for the measurement instrument developed to operationalize the two-dimensional technological innovation orientation. The results further revealed that technological innovation orientation is positively related to technological innovation performance and that technological innovation performance positively mediates the relationship between technological innovation orientation and financial performance.

• The Journal of Information Systems
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• v.29 no.1
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• pp.241-265
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• 2020

Purpose Various machine learning techniques are used to implement for predicting corporate credit. However, previous research doesn't utilize time series input features and has a limited prediction timing. Furthermore, in the case of corporate bond credit rating forecast, corporate sample is limited because only large companies are selected for corporate bond credit rating. To address limitations of prior research, this study attempts to implement a predictive model with more sample companies, which can adjust the forecasting point at the present time by using the credit score information and corporate information in time series. Design/methodology/approach To implement this forecasting model, this study uses the sample of 2,191 companies with KIS credit scores for 18 years from 2000 to 2017. For improving the performance of the predictive model, various financial and non-financial features are applied as input variables in a time series through a sliding window technique. In addition, this research also tests various machine learning techniques that were traditionally used to increase the validity of analysis results, and the deep learning technique that is being actively researched of late. Findings RNN-based stateful LSTM model shows good performance in credit rating prediction. By extending the forecasting time point, we find how the performance of the predictive model changes over time and evaluate the feature groups in the short and long terms. In comparison with other studies, the results of 5 classification prediction through label reclassification show good performance relatively. In addition, about 90% accuracy is found in the bad credit forecasts.