• Journal of Families and Better Life
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• v.34 no.5
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• pp.53-68
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• 2016

Financial preparation for retirement means making financial plans by predicting expected incomes and expenditures needed for maintaining success in later life. Because this preparation needs long-term planning, preparing as early as possible is recommended. This study, therefore, uses theory of planned behavior for examining the intention of financial preparation for retirement of consumers in their 20s and 30s. By using financial education and its understanding as additional variables, this study also intends to examine the ultimate effects on the intention. The following is a summary of the main results and suggestions. First, the level of consumer financial education is lower than the average. The level of understanding finance is lower than the average, and particularly, the level of understanding retirement related finance is much lower. Second, the more the attitude of financial preparation for retirement is positive, and the higher the level of subjective norm or perceived behavioral control is, the level of the intention of financial preparation for retirement tends to be more higher. Therefore, relevant efforts to encourage this preparation are needed. Third, the level of the intention of financial preparation for retirement is higher than the average, whereas financial education has no effects on the intention. This means that despite the importance of the financial education, its current implementation has many problems. The suggestions of this study are as follows. First of all, this study can provide preliminary data for developing retirement planning programs. In addition, in terms of the policy, given that this study targets relatively young consumers in their 20s and 30s, it can provide preliminary data for making policies for their future retirements.

• Asian Journal of Business Environment
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• v.10 no.2
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• pp.23-31
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• 2020

Purpose: The purpose of this paper is to find out the impact of financial leverage on firm's profitability in the listed textile sector of Bangladesh. Research design, data and methodology: A sample of 22 DSE listed textile firms has been used to conduct the study. In this study, firm profitability is measured by Return on Equity (ROE) and both short term debt and long term debt are used as the as proxies of financial leverage. Pooled Ordinary Least Squares (OLS), Fixed Effect (FE), and Generalized Method of Moments (GMM) models have been used to test the relationship between financial leverage and profitability of firms. Result: This study finds a significant negative relationship between leverage and firm's profitability using the Pooled OLS method. The result is also consistent with the fixed effect and GMM method. This result implies that firm's profitability is negatively affected by the firm's capital structure. Conclusion: The study concludes that maximum textile firms use external debt as a source of finance as they don't have sufficient internally generated funds. This study recommends that firm should give more emphasize on generating fund internally to meet up their financing needs.

• Journal of Information Technology Applications and Management
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• v.10 no.4
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• pp.65-84
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• 2003

The Purpose of this study is to Identify and analyze the factors that determine the survival or success of internet-based companies in the start-up phase. The reason why we focus on companies which are in the early stage of development is because internet business is still at its early stage, and statistics indicate that many internet businesses have failed during the start-up phase. Using the model of new product outcomes proposed by Cooper(1979), we have formulated a conceptual model for more successful internet business ventures. On the basis of this model, the relationship between the financial and non-financial performance and various variables in the model is analyzed. For collecting empirical data, a web-based survey questionnaire was designed. A total of 97 usable questionnaires were gathered from internet companies nationwide. The results showed that controllable variables such as the commercial entity and information acquired during the new business process are related to the non-financial performance, while environment variables such as the compatibility of the resource base of the firm with the business, including a few controllable variables, are related to the financial performance. Future research needs to explore more precisely how the success factors are different according to the types of internet businesses and/or the stages of growth of the business.

• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1306-1325
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• 2019

As the world is moving towards digitization, data is generated from various sources at a faster rate. It is getting humungous and is termed as big data. The financial sector is one domain which needs to leverage the big data being generated to identify financial risks, fraudulent activities, and so on. The design of predictive models for such financial big data is imperative for maintaining the health of the country's economics. Financial data has many features such as transaction history, repayment data, purchase data, investment data, and so on. The main problem in predictive algorithm is finding the right subset of representative features from which the predictive model can be constructed for a particular task. This paper proposes a correlation-based method using submodular optimization for selecting the optimum number of features and thereby, reducing the dimensions of the data for faster and better prediction. The important proposition is that the optimal feature subset should contain features having high correlation with the class label, but should not correlate with each other in the subset. Experiments are conducted to understand the effect of the various subsets on different classification algorithms for loan data. The IBM Bluemix BigData platform is used for experimentation along with the Spark notebook. The results indicate that the proposed approach achieves considerable accuracy with optimal subsets in significantly less execution time. The algorithm is also compared with the existing feature selection and extraction algorithms.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2007.11a
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• pp.206-209
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• 2007

Today rapid change in information and economy takes the changing of office design. It is very important to understand about the needs of employees and working environment. To promote the efficiency and comfort of the working environment, diverse employee's working characteristic and individual requirements have been observed. To build a good working environment, flexibility of space and communication between employees and employer in the office are very important. Due to the business growth, "K" financial company requires more working space. The design idea for the main areas such as the executive officer's room, the reception, the elevator hall, the conference rooms and the working areas in this project targets the harmony of the functionality and the aesthetic. This project could be able to deliver more convenient and comfortable working place by adopting three main concepts, which are modern, simplicity and moderation.

• Telecommunications review
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• v.25 no.4
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• pp.605-621
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• 2015

The diffusion of smart devices has greatly influenced the market dynamics of the telecommunications industry. The competition paradigm has shifted from individual firm-based competition to ecosystem-based competition. To satisfy the diverse needs of market customers, it has become more important for telecommunications companies to form alliances with complementary partners in the ecosystem. This study empirically investigates the influence of ecosystem-based alliance formations on the financial performance of firms in the Korean telecommunications market. Specifically, the impact of a CPND (Content, Platforms, Networks, and Devices) alliance in the ICT (Information and Communications Technology) sector on firms' profitability is examined using a structural equation model. The results indicate that before the diffusion of smart devices, ecosystem-based alliance formations with other firms in the ICT ecosystem were not effective for enhancing profitability. However, after this diffusion, alliance formation between members of the value chain in the ICT ecosystem contributed significantly to firms' financial performance. This implies that recent alliances with firms that are constituents of the ICT ecosystem are an important element of profit generation in the ICT market in Korea.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.3
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• pp.33-50
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• 2020

Knowledge recipes are packages of knowledge which arise from the process of combining the knowledge assets in the organization in distinctive ways. This involves converting them into useful outputs which are the ideal core competitive advantage enablers for companies. The major objective of this study was to propose a knowledge recipe for financial-sector state corporations in Kenya. The study adopted a convergent parallel mixed methods research design. Quantitative and qualitative data were collected using questionnaires and key informant interviews. The target population of the study was 1574 respondents drawn from all financial state corporations. A multistage sampling technique was used for the study. The first phase involved purposive sampling of the organizations to be studied whereby the four state corporations namely: Capital Markets Authority, Competition Authority of Kenya, Kenya Investment Authority, and Kenya Revenue Authority were identified. The second phase entailed stratified sampling of the respondents in three strata namely senior management team, knowledge management team, and general staff. The authors used a census of all senior management team and knowledge management staff while a simple random sampling technique was used for the general staff. By use of the Krejcie and Morgan table, the actual sample size was 358 respondents from all the four organizations. Data were collected using questionnaires and interview schedules. The qualitative data were analyzed using content analysis while the quantitative data were analyzed by the use of Ms. Excel and VOSviewer and presented using pie charts, bar graphs, and tables. The response rate for this study was 257 (72%). The study revealed that while most employees in the financial sector organizations understand their knowledge needs, knowledge types, knowledge uses and knowledge gaps, they do not have a universal knowledge recipe to facilitate effective knowledge management in their organizations. Consequently, the authors propose a universal knowledge recipe for the state corporations in the financial sector in Kenya. The ingredients of the recipe are legal-knowledge (18%), financial knowledge (15%), administrative knowledge (11%), best practice (10%), lessons learnt (8%), human resource knowledge (8%), research and statistics knowledge (7%), product knowledge (6%), policy and procedure knowledge (5%), ICT knowledge (4%), investor knowledge (3%), markets knowledge (2%), general knowledge (2%) and regulatory framework knowledge (1%).

• Journal of the Korean Home Economics Association
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• v.43 no.5 s.207
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• pp.57-79
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• 2005

The purpose of this study was to investigate the needs assessment and satisfaction level of family support services for preschoolers with disabilities. The subjects were 146 mothers and 138 teachers of 3- to 6-year- old preschool children with disabilities in integrated kindergartens in Daegu, Seoul, and Kyungnam. The major findings of this study were as follows. First, mothers needed information and financial support most. The level of the mother's needs was related to the type and degree of disabilities, child's sex, child's age, mother's educational level, and father's occupation. Second, the satisfaction level of mothers in the integrated kindergarten education programs was generally low. Third, mothers needed parental training of child's problem behavior, mother-child interactions program, and parental education of developing child's creativity.

• Journal of Preventive Medicine and Public Health
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• v.43 no.3
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• pp.222-234
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• 2010

Objectives: Limited research has investigated the specific needs of patients with cancer. This study was performed to explore patients needs and the related factors. Methods: The data were collected by 1 National Cancer Center and 9 regional cancer centers in Korea. An interview survey was performed with using a structured questionnaire for the subjects(2661 patients who gave written informed consent to particiate) survey 4 months after diagnosis and review of medical records. Data were analyzed using t-test, ANOVA and multiple regression analysis. Results: When comparing the relating factors related with patient needs to the sociodemographic characteristics, the female group showed a higher level of recognition for physical symptoms, social support needs. The younger group showed a significantly higher level of recognition for health care staff, psychological problems, information and education, social support, hospital services needs. In addition, the higher educated group showed a higher level of recognition for health care staff, physical symptoms, social support needs. The higher income and office workers group showed a higher level of recognition for hospital services needs. When comparing the relating factors related with patient needs to the cancer, the breast cancer group showed a higher level of recognition for all needs excluding physical symptoms, accessibility and financial support needs. The combined radiotherapy with surgery and chemotherapy group showed a higher level of recognition for psychological problems, information and education, social support needs. Conclusions: This study showed that needs on patient with cancer was significantly influenced by female, higher educagion, lower income, having religion, office worker, liver cancer, breast cancer, colon cancer, chemotherapy, and combined therapy.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.193-201
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• 2017

Financial firms strengthen to protect personal information from the leakage, introducing various security solutions such as print output security, internet network Isolation system, isolationg strorage of customer information, encrypting personal information, personal information detecting system, data loss prevention, personal information monitoring system, and so on. Financial companies are also entering the era of cutthroat competition due to accept of the new channels and the paradigm shift of financial instruments. Accordingly, The needs for security for customer information held by financial firms are keep growing. The large security accidents from the three card companies on January 2014 were happened, the case in which one of the outsourcing personnel seized customer personal information from the system of the thress card companies and sold them illegally to a loan publisher and lender. Three years after the large security accidents had been passed, nevertheless the security threat of the IT outsourcing workforce still exists. The governments including the regulatory agency realted to the financail firms are conducting a review efforts to prevent the leakage of personal information as well as strengthening the extent of the sanction. Through the analysis on the application of security policy for outsourcing personnel in case of large-scale Financial IT projects and the case study of appropriate security policies for security compliance, the theis is proposing a solution for both successfully completing large-scale financial IT Project and so far as possible minizing the risk from the security accidents by the outsouring personnel.