• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.21-28
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• 2017

Improving efficiency of the telecommunication is crucial to the development and growth of Korean economy. Recently, it has become important with the huge development of information technology and its greater potential for extensive impact on the rest of the economy. Hence, it is useful to determine the factors that help enhance efficiency in telecommunication and consider them in improving the evaluation model. This study applies DEA (data envelopment analysis) to evaluate the relative efficiency of 51 branches of a Korean telecommunication company. Using the super-efficiency approach, we tested outliers which may affect the results and ranked the efficient branches. A method of deriving key variables applied to business operation is proposed to identify the key performance indicators for evaluation that takes environmental (non-discretionary) factors into account. We used the extended CCR model proposed by Banker and Morey to investigate the influence of non-discretionary factor. The information provided by the model (slacks, weights) and the sensitivity analysis shows that the most important indicator that affects the branch performance is operating cost. The results of sensitivity analysis show that average efficient score decreases from 0.972 (base case) to 0.863 for CASE2-COST. The average score of the data proves the priority of operating cost over other indicators. The effect of environmental (non-discretionary) variable was found to be significant. The population effect was positive and improved overall efficiency by 0.91% on average. Non-discretionary factor plays a meaningful role explaining the performance of branches. The performance optimization report can help a manager of an inefficient branch to develop branch strategies. Managers can identify the top-performing units, study best practices and adopt the strategy to the organization.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.173-189
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• 2015

The purpose of this study is to present the classification and operation systems of fashion offline stores. This research analyzed fashion literatures, articles and papers published by fashion-related companies and interviewed fashion practitioners. This research can be used as information for practitioners of the domestic fashion brand and students of fashion majors. The classification and operation systems of fashion offline stores are as follows. 1. The types of fashion offline store is classified as a form of road shop, department store, complex shopping center, select shop, outlet, and fashion wholesale retail specialty store. 2. The road shop is classified flagship store, franchise store, direct sales store, and street brand store. 3. The department store is recently using strategy to improve the profit rate, as setting up the select shop, expand the import contemporary brand stores, the men's brand stores, SPA brand stores, the street brand stores, and the soho internet shopping mall brands instead of reducing the national brands. 4. Most forms of fashion offline stores enhanced the functions to combine the catering, cultural activities and purchasing the lifestyle-related products, as well as fashion items. 5. The types of the operation system in fashion offline stores is classified as direct operations, franchise operations, middle management operations, and fully insert operations. 6. Franchise operations are tended to decline, however middle manager operations are overwhelming.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1453-1463
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• 2015

The purpose of this study was to identify health behaviors of elderly with osteoarthritis across gender groups. Total of 1,654 age 65 over from the fifth Korean National health and Nutrition Examination Survey (KNHANES) were selected. The data analysis was performed using the complex sampling function of SPSS version 20. Logistic regression analysis shows the difference of risk factors of osteoarthritis between men and women elderly people. Prevalence of osteoarthritis in men elderly was associated with drinking, education for osteoarthritis, and treatment of osteoarthritis whereas the factors in woman elderly were depression and muscle strengthen exercise. Most of the subjects had not the opportunity of education of the management of the osteoarthritis. These findings from the study are expected to promote the screening strategy for the aged at risk of osteoarthritis in the Korean community and enhance the effect of the nursing intervention for the elderly with osteoarthritis.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.3
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• pp.243-254
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• 2005

Purpose: The purpose of this study was to analyze the effects of motivation and hygiene factors on nurse's job satisfaction, organizational commitment, and organizational identification. Methods: The subject hospital was 4 tertiary general hospital located in Seoul and Incheon, Korea. The participants of this study were 521 nurses working in the subject hospitals. The data were collected by self-reporting questionnaires from April 1 to June 30, 2004. The data were analyzed using SAS 8.0 program for descriptive statistics and stepwise multiple regression. Results: The mean score of variables were as follows. The motivation factor's total was 3.22, hygiene factor's total was 2.98, job satisfaction was 2.94. organizational commitment was 2.94, and organizational identification was 3.62. The statistically significant predicting factors of job satisfaction were achievement, work itself and salary. In organizational commitment, the significant predicting factors were achievement, advancement, work itself, policy and administration, working conditions, and interpersonal relations. In organizational identification, the significant predicting factors were work itself, responsibility, interpersonal relations, and personal life. Conclusion: With these results, it was identified that the predicting factors of nurse's job satisfaction based on Herzberg's two-factor theory. The most statistically significant factors were salary on job satisfaction, policy and administration on organizational commitment and work itself on organizational identification. So these results will be used to develop the more effective strategy of nursing staff management. And also these will be contributed to developing the nurse's motivation enhancement plans.

• Culinary science and hospitality research
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• v.15 no.1
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• pp.271-286
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• 2009

This study explored the influence of service elements of specialty coffee houses on customers' emotion and loyalty. Physical surroundings, employees' service and price benefits were suggested as the service elements of specialty coffee shops. The results show that physical surroundings and price benefits had significant influence on positive emotion and loyalty while employees' service had no influence on them. Two emotional reponses(positive emotion, negative emotion) had significant influence on customers' loyalty. The result is important in that price benefits had a higher impact on positive emotion and loyalty than physical surroundings. This represents the customers' attitude to the late economic issues.

• Journal of Information Technology Applications and Management
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• v.20 no.2
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• pp.57-68
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• 2013

Recently, cloud computing has been viewed as a technology of great influence. Despite the importance of personal cloud services, the majority of cloud computing studies has been focused on an enterprise level. Therefore, in this research, we list variables of personal cloud computing characteristics (accessibility, storage, trust, perceived ease of use, availability) from preceding research done on an enterprise level. So, through pilot testing, we analyze whether examined characteristic variables affect the intention to use personal cloud computing. Next, we investigate the relevancy between user characteristics, including gender, age, and occupation, and the usage rate of personal cloud computing. Lastly, we implement an analysis of variance in order to speculate whether there is any difference between the five characteristic variables in using personal cloud computing between cloud service enterprises. For empirical testing people with experience in personal cloud computing are surveyed. Frequency analysis, exploratory factor analysis, internal consistency analysis, T-test, ANOVA, and multiple regression analysis are implemented with 325 valid samples. The analysis results are as follows: First, among user characteristic variables, 'occupation' shows a significant relationship with cloud service usage, Second, between cloud service enterprises, all five characteristic variables of 'Naver N Drive' are thoroughly evaluated and 'Google Drive' receives a high evaluation in availability and accessibility. Third and finally, all of the selected characteristic variables affect the intention to use personal cloud computing. However, availability is identified to be the most important factor. This research will serve as a reference to enterprises for the practical implementation of personal cloud computing service.

• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.127-149
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• 2013

Competitiveness of service industry in Korea is relatively lower than OECD countries'. Korean government, therefore, has been trying to improve the competitiveness of service industry by accelerating information technology (IT) adoption. Even though most of factors of IT can be contributed to improve the financial performance, it may be affected differently among various industry types and life cycles of companies. Therefore, it is one of very important research issues to analyze the influential effect of IT considering industry types and organizational life cycles in service industries. The purpose of this study is to find out critical success factors of IT which influence financial performance considering different types and life cycles of service industries. We developed the model and identified key success factors of IT adoption as IT system quality, Information quality, IT maintenance, CEO support, IT education of organization, and IT competence of user. Additional analysis of moderating effect by organizational life-cycle and types of service industry are conducted. For data sampling 856 companies are participated and total 2,000 questionnaires are collected. Structural equation modeling method is conducted for statistical analysis. The results show that the model is valid and most of success factors of it are very useful for improving financial performance of service industries except organizational IT education. Moderating effect of industry types and organizational life cycles is valid but partially accepted. The results might be able to provide useful directions and guide lines of IT acceleration in service industries.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.11 no.1
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• pp.57-70
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• 2004

Purpose: This study was to develop a cost-effective and efficient curriculum for advanced practice nurse (APN) programs in home health care and hospice. Method: The process was to: (1) compare and analyze the present curriculum in home health care and hospice programs, (2) identify the needs of 7 expert nurses in home health care and hospice, and (3) develop a common curriculum structure and contents between home health care and hospice specialty courses. Result: Out of the 10 credits constituting the home health care and hospice specialty courses respectively, 6 credits were identified the common courses, Common content areas included introduction to hospice, communication skills, pain control. symptom control. teaching methods, and agency management. Conclusion: These results can be utilized in the development of APN programs for home health care and hospice in terms of qualified and cost-effective aspects of education.

• IE interfaces
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• v.23 no.4
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• pp.311-318
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• 2010

In the daily multi-reservoir operating problem, monthly storage targets can be used as principal operational guidelines. In this study, we tested the use of a simple back-propagation Artificial Neural Network (ANN) model to derive monthly storage guideline for daily Coordinated Multi-reservoir Operating Model (CoMOM) of the Han-River basin. This approach is based on the belief that the optimum solution of the daily CoMOM has a good performance, and the ANN model trained with the results of daily CoMOM would produce effective monthly operating guidelines. The optimum results of daily CoMOM is used as the training set for the back-propagation ANN model, which is designed to derive monthly reservoir storage targets in the basin. For the input patterns of the ANN model, we adopted the ratios of initial storage of each dam to the storage of Paldang dam, ratios of monthly expected inflow of each dam to the total inflow of the whole basin, ratios of monthly demand at each dam to the total demand of the whole basin, ratio of total storage of the whole basin to the active storage of Paldang dam, and the ratio of total inflow of the whole basin to the active storage of the whole basin. And the output pattern of ANN model is the optimal final storages that are generated by the daily CoMOM. Then, we analyzed the performance of the ANN model by using a real-time simulation procedure for the multi-reservoir system of the Han-river basin, assuming that historical inflows from October 1st, 2004 to June 30th, 2007 (except July, August, September) were occurred. The simulation results showed that by utilizing the monthly storage target provided by the ANN model, we could reduce the spillages, increase hydropower generation, and secure more water at the end of the planning horizon compared to the historical records.

• KIEAE Journal
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• v.9 no.5
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• pp.85-96
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• 2009

This study analyzed a characteristic by types of urban regeneration helping the establishment of urban identity under social condition change. It will be foundation of sustainable urban development with strategy that secures world-wide competitive power. For this, sample cases that established identity from urban regeneration were reviewed about the main subject and the supporting subject in business side and hardware, software, system, and finance in design factors. 4samples each in inheritance intensification type and change creation type were selected and analyzed. The result said it is most effective to establish urban identity when inheritance intensification type is the private-centered for urban regeneration. And it is better to do the project that the main subject and the supporting subject are taken by the private or the private-leading partnership. It is necessary to manage the region and plan events with software design factors more than hardware design factors. In addition, for urban identity, it was found to be desirable to utilize and preserve fully current resources such as historical scenery and activate the communities than making new facilities. On the contrary, the project based on change creation type needs to be under the public management with innovative idea. Also, when it comes to design factors, facilities related to culture and art and community spaces should open and run actively. It is important for the region to improve its image by New design style such as TOD. In software side, it is important to manage the region by monitoring about urban regeneration business and solve social mix and employment problem. On the other hand, in terms of system and administration, both types don't show a difference in urban identity establishment, since it is same that both should make partnership and get a support of subsidy to be most effective.