• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.162-173
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• 2014

Among OECD countries, Korea is the only country which has continuously recorded total birthrate below 1.3 person for over 10 years. Since 2006, the Korean government has promoted the population policy in full scale. But, the fertility rate which became low has not shown any sign to go up again. Thus, Korea can be understood as having fallen into 'low fertility trap'. Such a low fertility can cause serious problems such as weakening of national competitive power and even survival of the country. In Korea, due to studies and finding jobs among young women, their childbirths are kept being postponed. In some cases, poor working conditions where women work can cause physical conditions not appropriate for pregnancy. Thus, it is very important to let childbearing women, pregnant women take care of their health. Accordingly, conscious of this low fertility era, this study examined major international organizations and countries' health promoting strategies-with focus on motherhood and suggested some methods to effectively improve health for motherhood.

• Knowledge Management Research
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• v.17 no.3
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• pp.93-116
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• 2016

Knowledge, as a source of firm's competitive edges, has been drawing attention, while numerous enterprises are investing huge amount of assets to foster the right environments for executing knowledge management (KM). As a practical way of such KM, knowledge management systems (KMS) support the creation, diffusion, and utilization of knowledge, which are the tools for practicing such management style. Recently, the customer centers which make the closest contact with the customers are being concerned about the establishment of KMS. Considering the characteristics of real-time problem solving in customer centers during the consultation with the customers, the importance of KMS is paramount to the centers. This study analyzes major factors influencing the success and utilization of the customer center KMS's reestablishment, as an exploratory case study of the reestablishment of KMS in the customer center of K insurance company. First, the characteristic differences between the customer center's KMS and the traditional KMS are discussed, and the triangulation technique is applied to secure objectivity of this case study's findings. Major results of the case study state that, for the success of KMS and improvement of utilization, the followings should be considered preferentially: excellent system quality (accessibility, user convenience, easy searching, speed/menus); high information quality (accuracy, usefulness, timeliness, task-relevance, diversity, degree of specification); appropriate operation strategy and process for the utilization of system (education, training opportunity, appropriate personnel, speed and procedure of approval, compensation/evaluation); and change management via the support from the CEO's level (concern and participation of CEO, will to propel the project, investment, advertisement, etc.). This study provides practical suggestions with respect to factors which should be more carefully dealt with, since still many customer centers have hard time establishing and operating KMS due to lack of previous studies.

• Journal of Navigation and Port Research
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• v.34 no.8
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• pp.659-667
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• 2010

In this study, we examine features of marine transport environment which shipping companies are facing, analyze the ability to cope with this environment, and present the relationship between the ability and business performances. Then, we demonstrate that diagnosis of shipping environment in the global marine transport environment and preparing to it is very important. Also, we present that the ability to prepare is the main factor to decide the competitive power of the company. This study has a meaning in that the importance of business activities related to environment such like diagnosis of environment, analyzing, management, adaptation, and prediction is presented. Besides, the value of this study is that we analyze the relationship between corresponding ability, strategic execution process and business performance in general.

• STI Policy Review
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• v.6 no.2
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• pp.105-145
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• 2015

Science, technology and innovation (STI) is crucially important to eradicating poverty, and making advances in various areas such as agriculture, health, environment, transport, industry, and telecommunications. Therefore, it is vital to the overall socioeconomic development of nations. The indispensable role of STI in the competitive globalized economy led to several attempts to measure national STI capacities. The present study outlines STI capacity around three sets of capabilities: technological capabilities, social capabilities, and common capabilities. The Global Science, Technology and Innovation Capacity (GSTIC) index was developed to provide current evidence on the national STI capacities of the countries, and to improve the composite indicators used for such purposes. The GSTIC ranks a large number of countries (167) on the basis of their STI capacities and categories them into four groups: i.e. leaders, dynamic adopters, slow adopters, and laggards. For more meaningful assessment of the STI capacities of nations, it captures the achievement gaps of individual countries with the highest achiever. The study also provides ranking and achievement gaps of nations in the nine GSTIC pillars: technology creation, R&D capacity, R&D performance, technology absorption, diffusion of old technologies, diffusion of recent innovations, exposure to foreign technology, human capital, and enabling factors. A more detailed analysis of the strengths and weaknesses in different pillars of STI capacity of ten selected countries is also provided. The results show that there are significant disparities among nations in STI capacity and its various aspects, and developing countries have much to catch-up with the developed nations. However, different countries may adopt different strategies according to their strengths and weaknesses. Useful insight into the strengths and weaknesses of the national STI capacities of different countries are provided in the study.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.846-860
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• 2015

The purposes of this study were to investigate the influences of need for cognition (NFC) and fashion leadership on regret after purchasing fashion goods in female consumers and examine the relationships between regret and its dependent variables (i.e., dissatisfaction, regret resolution, and rebuying intentions). Data collection was conducted through a survey for females in their 20s~40s, and 642 questionnaires were used for final data analyses in which frequency analysis, factor analysis, reliability analysis, and regression were applied using SPSS 14.0. The results were as follows. The higher NFC was or the lower fashion leadership was, the higher the degree of regret, as NFC and fashion leadership both had a significant influence on regret. In terms of the dependent variables, the higher the degree of regret, the higher the degree of dissatisfaction and ultimately the lower the rebuying intentions. In addition, the influence of regret on regret resolution and the influence of regret resolution on rebuying intentions were significant. This study verified that consumers' characteristics and feelings of regret had a significant influence on their buying behavior of fashion goods. The results suggest that consumers' feelings of regret (which influence consumer satisfaction and rebuying intentions) should be considered in terms of competitive marketing strategies at fashion companies.

• International Commerce and Information Review
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• v.8 no.3
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• pp.299-321
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• 2006

The purpose of this study was to analyze export competitiveness of Korean auto parts and Chinese auto parts in U.S. market by using Index of Export Bias and Market Comparative Advantage Index. For attaining the purpose of study, we classified the auto parts which exported to U.S. market and the imported products by using the six units classification of the Harmonized System(HS). Analyzing period was 1998-2005. The analysis of Korean results of MCA indicated that the Korean auto parts which gained export competitiveness in the U.S. market were HS Code No. 8708.94, 8708.99, 8708.92. The products which will have export competitiveness in the U.S. market would be HS Code No. 8708.93, 8708.39, 8708.60 respectively. On the other hand, the results indicated that the Chinese auto parts which gained export competitiveness in the U.S. market were HS Code No. 8708.70, 8708.31, 8708.91, 8708.60, 8708.39. From this study, we find the following strategies for successful advancing into the U.S. and world market. i) Linking strategy through working cooperation with local auto firms, government and academic world. ii) Advance strategy of auto firm accompany by module working and system auto parts firm. iii) Retention strategy of large technical institution established by auto parts firms and taking cooperation of auto firms iv) Settlement strategy for having weaken competitive article and production field. v) Cost-cutting strategy through strengthening logistics cooperation system between auto parts firms and auto firms. vi) Active invitation strategy of foreign investment under quickly cooperating of government.

• Management & Information Systems Review
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• v.28 no.2
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• pp.1-19
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• 2009

In the severely competitive market, brand extension strategy has become a key strategy to the companies that are trying to expand in the new market and to cut down the marketing cost. In conclusion, following results are deduced. First, hypothesis 1(H-1) refers to the relationship between image of extension brand and attitude of extension brand, and it shows path-coefficients value of 0.43, and t-value of 4.21 which supports the hypothesis statistically. Second, H-2 is the result of the analysis of relationship between attitude of extension brand and loyalty of extension brand and consequently the hypothesis is supported by the path-coefficients value of 0.29 and t-value of 3.08. The results of this study provided very useful information for both foodservice industry and academics. At first, in the theocratical point of view, this study suggests a new concept the foodservice brand extension. Consequently in marketing point of view, the results of this study recommend several strategies of foodservice brand extension using foodservice image, attitude and loyalty.

• Korea Journal of Hospital Management
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• v.1 no.1
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• pp.154-169
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• 1996

Some of the large sized companies have taken parts in a hospital business with a view or justification to improve medical care regadless of the disadvantageous fee-for-service medical insurance reimbursement system controlled by authorities related. This gradually brought about the financial difficulties to university hospitals as well as general hospitals that were less competitive. In this circumstance the hospital administrators are called for preparing and implementing proper financial strategies by analyzing external circumstances and internal abilities of their hospitals. In this aspect, an effective cost-analysis system in the hospital has been needed for years. K-University hospital developed the practical cost-analysis system and applied it to the hospital management. The effects of cost analysis system are as belows: first, the trend of the monthly revenue per medical specialist from March to July in 1996 showed increasing pattern which is different from that in past years. second, it turned out that the department of functional laboratory in relation to medical treatment enlarged the medical revenue very sharply. third, the intensive care units were being operated at the state of deficit, while other general wards were lucrative.

• Journal of the Economic Geographical Society of Korea
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• v.7 no.2
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• pp.315-328
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• 2004

After M. Porter proposed the concept of industrial cluster, a lot of academic papers and industry surveys have suggested that industrial cluster is the key factor to competitive edge and long-term economic growth. Industrial cluster is often defined as geographical concentrations of interconnected entities in a particular industrial field. And the agglomeration economy is regarded the key factor of developing the industrial clusters. The industrial clusters often have been growing over the territory of local governments. Therefor, the institutes supporting the industrial clusters and the companies in great-sphere level is required. The purpose of this paper is for comparing and analysing the institutes supporting the industrial clusters and the companies in great-sphere level including various local governments. As the result of this research, four types of the cooperative industrial supporting systems among various local governments are divided: 1. inducing foreign direct investment into domestic area by regional development agency, 2. co-developing research parks or industrial parks by some local governments, 3. taking regional industrial statistics and writing development strategies over the boundary of the local governments, 4. constructing internet portal sites networking the local companies, universities, research centers of the same industrial cluster.

• The Journal of Information Systems
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• v.26 no.4
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• pp.17-37
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• 2017

Purpose Customer Loyalty is the most important factor of customer relationship management (CRM). Especially in retailing industry, where customers have many options of where to spend their money. Classifying loyal customers through customers' data can help retailing companies build more efficient marketing strategies and gain competitive advantages. This study aims to construct classification models of distinguishing the loyal customers within a Korean retailing company using data mining techniques with R language. Design/methodology/approach In order to classify retailing customers, we used combination of support vector machines (SVMs) and other classification algorithms of machine learning (ML) with the support of recursive feature elimination (RFE). In particular, we first clean the dataset to remove outlier and impute the missing value. Then we used a RFE framework for electing most significant predictors. Finally, we construct models with classification algorithms, tune the best parameters and compare the performances among them. Findings The results reveal that ML classification techniques can work well with CRM data in Korean retailing industry. Moreover, customer loyalty is impacted by not only unique factor such as net promoter score but also other purchase habits such as expensive goods preferring or multi-branch visiting and so on. We also prove that with retailing customer's dataset the model constructed by SVMs algorithm has given better performance than others. We expect that the models in this study can be used by other retailing companies to classify their customers, then they can focus on giving services to these potential vip group. We also hope that the results of this ML algorithm using R language could be useful to other researchers for selecting appropriate ML algorithms.