• The Journal of Industrial Distribution & Business
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• v.3 no.1
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• pp.7-16
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• 2012

Despite the enforcement of SSM control laws such as 'the Law of Developing the Distribution Industry (LDDI)' and 'the Law of Promoting Mutual Cooperation between Large and Small/medium Enterprises (LPMC)' stipulating the business adjustment system, the number of super-supermarkets (SSMs) has ever been expanding in Korea. In France, however, Super Centers are being regulated most strongly and directly in the whole Europe viewing that there is not a single SSM in Paris, which is emphasized to be the outcome from French government's regulation exerted on the opening of large scale retail stores. In France, the authority to approve store opening is deeply centralized and the store opening regulation is a socio-economic regulation driven by economic laws whereas EU strongly regulates the distribution industry. To control the French distribution industry, such seven laws and regulations as Commission départementale d'urbanisme commercial guidelines (CDLIC) (1969), the Royer Law (1973), the Doubin Law (1990), the Sapin Law (1993), the Raffarin Law (1996), solidarite et renouvellement urbains (SRU) (2000), and Loi de modernisation de l'économie (LME) (2009) have been promulgated one by one since the amendment of the Fontanet guidelines, through which commercial adjustment laws and regulations have been complemented and reinforced while regulatory measures have been taken. Even in the course of forming such strong regulatory laws, InterMarche, the largest supermarket chain in France, has been in existence as a global enterprise specialized in retail distribution with over 4,000 stores in Europe. InterMarche's business can be divided largely into two segments of food and non-food. As a supermarket chain, InterMarche's food segment has 2,300 stores in Europe and as a hard-discounter store chain in France, Netto has 420 stores. Restaumarch is a chain of traditional family restaurants and the steak house restaurant chain of Poivre Rouge has 4 restaurants currently. In addition, there are others like Ecomarche which is a supermarket chain for small and medium cities. In the non-food segment, the DIY and gardening chain of Bricomarche has a total of 620 stores in Europe. And the car-related chain of Roady has a total of 158 stores in Europe. There is the clothing chain of Veti as well. In view of InterMarche's management strategies, since its distribution strategy is to sell goods at cheap prices, buying goods cheap only is not enough. In other words, in order to sell goods cheap, it is all important to buy goods cheap, manage them cheap, systemize them cheap, and transport them cheap. In quality assurance, InterMarche has guaranteed the purchase safety for consumers by providing its own private brand products. InterMarche has 90 private brands of its own, thus being the retailer with the largest number of distributor brands in France. In view of its IT service strategy, InterMarche is utilizing a high performance IT system so as to obtainas much of the market information as possible and also to find out the best locations for opening stores. In its global expansion strategy of international alliance, InterMarche has established the ALDIS group together with the distribution enterprises of both Spain and Germany in order to expand its food purchase, whereas in the non-food segment, it has established the ARENA group in alliance with 11 international distribution enterprises. Such strategies of InterMarche have been intended to find out the consumer needs for both price and quality of goods and to secure the purchase and supply networks which are closely localized. It is necessary to cope promptly with the constantly changing circumstances through being unified with relevant regions and by providing diversified customer services as well. In view of the InterMarche's positive policy for promoting local partnerships as well as the assistance for enhancing the local economic structure, implications are existing for those retail distributors of our country.

• KDI Journal of Economic Policy
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• v.13 no.2
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• pp.141-161
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• 1991

Resale price maintenance has long been employed in book distribution, perhaps longer than for any other product. Another unusual practice in the book trade that has proven to be quite durable in spite of its substantial cost in real resources is the returns policy. Publishers typically grant the right to return unsold books within a stipulated time for full credit against future orders. This paper investigates the functions and effects of resale price maintenance in the book trade, and argues that resale price maintenance and returns are substitute methods of providing the same economic function. Resale price maintenance can be used to compensate booksellers for initially stocking books with uncertain prospects and for providing a conduit through which manufacturers acquire information about consumer demand (market testing services). Permitting the return of unsold books for full credit places a floor under retail prices and transfers a considerable portion of the cost of introducing a new product line back to the publisher. Both reflect publishers' needs to have their books displayed. In the U.S. returns privileges were first proposed in 1913, roughly coincident with the Macy decision outlawing RPM. Publishers slowly granted return privileges, which become nearly universal by 1970. The decline in margins in recent years has been accompanied by an increase in returns as the return policy served to substitute for lost margins on successful titles as a methods of compensating full-line booksellers. In contrast, returns privileges are unusual in countries where price maintenance in books has been practiced. These observations are consistent with our analysis. In Korea, resale price maintenance of books is practiced under an exception to Korean antitrust law. The availability of effective price maintenance is likely to reduce the use of returns programs. Since consumers prefer to obtain books at outlets where they know the books are likely to be stocked rather than taking a chance on stores that carry a more limited line, it also provides a strong incentive for booksellers to expand. But the privilege of resale price maintenance should be confined to books which publishers want to be price maintained. Resale price maintenance and returns system differ in the transactions costs associated with inventory holding, and publishers' judgement on the comparative advantage of the two schemes should be honored. Publishers should also remain free to authorize sales at discount at any time not to impair the ability of booksellers to dispose of product variants that prove unpopular.

• Journal of Legislation Research
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• no.53
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• pp.419-454
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• 2017

Faced with the internationalization of capital markets, Korea needs to protect its investors and markets by applying the relevant laws extraterritorially. The Financial Investment Services and Capital Markets Act ("Capital Markets Act") explicitly introduced a new provision recognizing the extraterritoriality of the Act. While Article 2 of the Capital Markets Act comprehensively provides for prescriptive extraterritorial jurisdiction, the enactment of extraterritoriality alone does not guarantee that the Act will apply to cross-border transactions effectively. The effective extraterritorial application of an act is inseparable from the adjudicative and enforcement jurisdiction of the act. Specifically, active investigations and detections by the public regulators might be the first step for enforcing the Capital Markets Act. Unlike domestic regulations, however, multinational enforcement actions outside a regulator's home country becomes more problematic because of various obstacles. This Article examines difficulties which domestic regulators may confront in enforcing the Capital Markets Act extraterritorially and makes several recommendations for more effective multinational enforcement as follows. First, the Korean regulators should continue to foster cooperation through the IOSCO and provide international markets with the information and tools necessary for successful regulation of cross-border transactions. Second, the principle of dual criminality should be applied in a modified form for the effective mutual legal assistance in criminal matters. Third, there should be a legal device for the domestic regulator to freeze foreign wrongdoer's assets located outside Korea to repatriate those assets for distribution to defrauded investors in Korea.

• Journal of Intelligence and Information Systems
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• v.27 no.2
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• pp.1-15
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• 2021

If it is difficult for us to make decisions, we ask for advice from friends or people around us. When we decide to buy products online, we read anonymous reviews and buy them. With the advent of the Data-driven era, IT technology's development is spilling out many data from individuals to objects. Companies or individuals have accumulated, processed, and analyzed such a large amount of data that they can now make decisions or execute directly using data that used to depend on experts. Nowadays, the recommender system plays a vital role in determining the user's preferences to purchase goods and uses a recommender system to induce clicks on web services (Facebook, Amazon, Netflix, Youtube). For example, Youtube's recommender system, which is used by 1 billion people worldwide every month, includes videos that users like, "like" and videos they watched. Recommended system research is deeply linked to practical business. Therefore, many researchers are interested in building better solutions. Recommender systems use the information obtained from their users to generate recommendations because the development of the provided recommender systems requires information on items that are likely to be preferred by the user. We began to trust patterns and rules derived from data rather than empirical intuition through the recommender systems. The capacity and development of data have led machine learning to develop deep learning. However, such recommender systems are not all solutions. Proceeding with the recommender systems, there should be no scarcity in all data and a sufficient amount. Also, it requires detailed information about the individual. The recommender systems work correctly when these conditions operate. The recommender systems become a complex problem for both consumers and sellers when the interaction log is insufficient. Because the seller's perspective needs to make recommendations at a personal level to the consumer and receive appropriate recommendations with reliable data from the consumer's perspective. In this paper, to improve the accuracy problem for "appropriate recommendation" to consumers, the recommender systems are proposed in combination with context-based deep learning. This research is to combine user-based data to create hybrid Recommender Systems. The hybrid approach developed is not a collaborative type of Recommender Systems, but a collaborative extension that integrates user data with deep learning. Customer review data were used for the data set. Consumers buy products in online shopping malls and then evaluate product reviews. Rating reviews are based on reviews from buyers who have already purchased, giving users confidence before purchasing the product. However, the recommendation system mainly uses scores or ratings rather than reviews to suggest items purchased by many users. In fact, consumer reviews include product opinions and user sentiment that will be spent on evaluation. By incorporating these parts into the study, this paper aims to improve the recommendation system. This study is an algorithm used when individuals have difficulty in selecting an item. Consumer reviews and record patterns made it possible to rely on recommendations appropriately. The algorithm implements a recommendation system through collaborative filtering. This study's predictive accuracy is measured by Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Netflix is strategically using the referral system in its programs through competitions that reduce RMSE every year, making fair use of predictive accuracy. Research on hybrid recommender systems combining the NLP approach for personalization recommender systems, deep learning base, etc. has been increasing. Among NLP studies, sentiment analysis began to take shape in the mid-2000s as user review data increased. Sentiment analysis is a text classification task based on machine learning. The machine learning-based sentiment analysis has a disadvantage in that it is difficult to identify the review's information expression because it is challenging to consider the text's characteristics. In this study, we propose a deep learning recommender system that utilizes BERT's sentiment analysis by minimizing the disadvantages of machine learning. This study offers a deep learning recommender system that uses BERT's sentiment analysis by reducing the disadvantages of machine learning. The comparison model was performed through a recommender system based on Naive-CF(collaborative filtering), SVD(singular value decomposition)-CF, MF(matrix factorization)-CF, BPR-MF(Bayesian personalized ranking matrix factorization)-CF, LSTM, CNN-LSTM, GRU(Gated Recurrent Units). As a result of the experiment, the recommender system based on BERT was the best.

• Journal of Hospice and Palliative Care
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• v.1 no.1
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• pp.39-46
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• 1998

Purpose : Hospice Care is considered as one of the most perfect solutions for the problems brought up as the number of chronically ill patients are increasing rapidly and most of social welfare oriented countries are seeking the quality of life. Our former studies(1996, 1997) were to find out the current status of the hospice care in Korea by surveying terminally ill patients and their family members as well as medical professionals. The former study was also to conduct the operation research by developing an information service system for training of hospice care teams and volunteers, and hospice patients management. The purpose of this study was that hospice information service system was tested by home visiting hospice care through visiting nurses. Methods : From October 1, 1997 to March 31, 1998, Twenty six terminal cancer patients were included in this study from Seoul National University Hospital and other hospital. Databases and homepage, hospice information service system were designed and developed for the information needed for the hospice care before this study by our research team and this services were available through the internet. Visiting nurses were trained about this system and they visited the patients with PC notebook and provided them hospice care with hospice information system. They collected physical, psychiatric, social data of the subjects at the first visit and during hospice care at home. Results : Sixteen subjects(61.5%) died during the study and the mean survival was 20.7 days. Anorexia(96.2%), immobility(88.5%) and pain(84.6%) were the major symptom in the 26 subjects, Altered nutrition(26.1%) and pain(12.4%) were the most frequent diagnoses in 226 nursing diagnoses of the subjects. Families understood and demanded the hospice care more than patients. And most patients and families didn't demand spiritual or social care. Conclusion : Through this demonstration study, it was found that we have to provide the information of pain management and nutritional support for patients by the nurses and visiting hospice nurse. The information service system needs to be upgraded with information and manpower of spiritual and social care according to the findings.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.1
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• pp.193-203
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• 2013

The social welfare service is expanding to different field as the social welfare budget is increasing. By this opportunity, it needs to make clear of the basis of argument that the necessity of development of korean government's support and aid by social policy should be worked. Welfare economics perspective, this study used by the operating expenditure in welfare facilities for the elderly old people to effect social benefits to be gained, in other words, business value analysis. Local elderly people, provide opportunities to participate in the economic activities of the family welfare services offered to attainment of the elderly welfare policy, and provide disease prevention and health promotion opportunities, to enhance the satisfaction of life, including a wide range of impact will cause. In this study, elderly people use the welfare facilities for the elderly when they get the benefits by applying the AHP analysis techniques operating value was calculated. Elderly Welfare Center operated by the result of applying P senior welfare center Case of the metropolitan area value was estimated 248.4 billion won. Contribute to the effects caused by the cost factor of the analysis was 23.1% of the total 57.3 billion won. Independence elements 57.6 billion (23.2%), the analysis of the therapeutic elements 133.4 billion (53.7%) of the net was. The result of the study anticipates the role of basic research material for the necessity of intervention, support, and aid by the Welfare facilities for the elderly field at this point in time where the welfare budget policy in terms of universal social service is reinforced, rather than the trend, until recently, of realizing the Elderly welfare budget and service as Consumption expenditure and consumable benefits and the function of performing the effect and evaluation in tentative action of social conflict.

• Journal of Internet Computing and Services
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• v.16 no.6
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• pp.123-131
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• 2015

Recently the development of ICT has a big impact on education field, and diffusion of smart devices has brought new education paradigm. Since people has an opportunity to use various contents anytime and communicate in an interactive way, the method of learning has changing. In 2011, Korean government has established the smart education promotion plan to be a first mover in the paradigm shift from e-learning to smart learning. Especially, government aimed to improve the quality of learning materials and method in public schools, and also to decrease the high expenditure on private education. However, the achievement of smart education policy has not emerged yet, and the refinement of smart learning policy and strategy is essential at this moment. Therefore, the purpose of this study is to propose the successful strategies for smart learning in public education. First, this study explores the status of public education and smart learning environment in Korea. Then, it derives the key success factors through SWOT(Strength, Weakness, Opportunity, Threat) analysis, and suggests strategic priorities through AHP(Analytic Hierarchy Priority) method. The interview and survey were conducted with total 20 teachers, who works in public schools. As a results, focusing on weakness-threat(WT) strategy is the most prior goal for public education, to activate the smart learning. As sub-factors, promoting the education programs for teachers($W_2$), which is still a weakness, appeared as the most important factor to be improved. The second sub-factor with high priority was an efficient optimizing the capability of new learning method($S_4$), which is a strength of systematic public education environment. The third sub-factor with high priority was the extension of limited government support($T_4$), which could be a threat to other public schools with no financial support. In other words, the results implicate that government institution factors should be considered with high priority to make invisible achievement in smart learning. This study is significant as an initial approach with strategic perspective for public education. While the limitation of this study is that survey and interview were conducted with only teachers. Accordingly, the future study needs to be analyzed in effectiveness and feasibility, by considering perspectives from field experts and policy makers.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.1
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• pp.75-88
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• 2014

This research aims to introduce the external type of natural funeral landscape facilities and to examine the effect of its visual image factor on the preference for them. For this purpose, a survey was conducted among 549 persons including 224 experts on the funeral services. The majority of respondents in this research live in the Seoul, Daejeon, Jeonju, and Busan areas. Burial place facilities and memorial facilities among natural funeral landscape facilities for the study are selected and categorized into five types, respectively. Of these, the funeral area type includes a woody style, a garden style, a flower style, a grass style and a scattered ashes style. As a result, firstly, from the factor analysis, three image factors are extracted such as a physical factor, an external-appearing factor and a symmetrical factor from the burial place facilities. Secondly, the most flavored among 5 burial palace facilities is woody style, followed a flower style, a garde style, a grass style and a scattered ashes style. Third, we draw a perception map based on the average values of each image factors. Forth, we find some significant difference in the evaluation of the image factors of burial place facilities by characteristics of the respondents. The gender, age, the education level and the facilities type reveal the significant difference in a physical factor. Moreover, we find a significant difference in the level of an external-appearing factor according to a gender, religion, a group members, and in the level of a symmetrical factor according to the gender, the education level, and the facilities type. Fifth, we execute a regression analysis in order to analyze the effect of the image factors on its preference for the burial place and memorial facilities. We find a positive effect of a physical, an external appearing and a symmetrical factor on its preference. Finally, we examine a moderating effect of a group member between the image factors and its preference. We find a significant positive moderating effect of an external-appearing factor for a garden style in the case of the burial place facilities. In this study are suggests that fix the problem of natural funeral landscape facilities typical naming contribute to the development of the early beginning natural funeral landscape facilities and study on development of natural funeral landscape facilities suitable for domestic. In addition, this study has shown that having rational guideline when people use natural funeral that develop a funeral culture through preference natural funeral standard visual image analysis such as preserve the traditional funeral philosophy and a new aesthetic needs.

• Management & Information Systems Review
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• v.36 no.4
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• pp.33-51
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• 2017

With the advent of 'The Forth Industrial Revolution' and the growing demand for quality of life due to economic growth, needs for the quality of medical services are increasing. Artificial intelligence has been introduced in the medical field, but it is rarely used in chronic skin diseases that directly affect the quality of life. Also, atopic dermatitis, a representative disease among chronic skin diseases, has a disadvantage in that it is difficult to make an objective diagnosis of the severity of lesions. The aim of this study is to establish an intelligent severity recognition model of atopic dermatitis for improving the quality of patient's life. For this, the following steps were performed. First, image data of patients with atopic dermatitis were collected from the Catholic University of Korea Seoul Saint Mary's Hospital. Refinement and labeling were performed on the collected image data to obtain training and verification data that suitable for the objective intelligent atopic dermatitis severity recognition model. Second, learning and verification of various CNN algorithms are performed to select an image recognition algorithm that suitable for the objective intelligent atopic dermatitis severity recognition model. Experimental results showed that 'ResNet V1 101' and 'ResNet V2 50' were measured the highest performance with Erythema and Excoriation over 90% accuracy, and 'VGG-NET' was measured 89% accuracy lower than the two lesions due to lack of training data. The proposed methodology demonstrates that the image recognition algorithm has high performance not only in the field of object recognition but also in the medical field requiring expert knowledge. In addition, this study is expected to be highly applicable in the field of atopic dermatitis due to it uses image data of actual atopic dermatitis patients.

• Korean Journal of Health Education and Promotion
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• v.13 no.1
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• pp.72-89
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• 1996

The oral health status and practices related to oral health among 44-54-year-, 55-64-year- and 65-year-old needy residents were assessed. The subjects were the residents at the Unbong Permanent Rental Apartment, Bansong-dong, Haeundae-gu. Pusan, Korea. An oral epidemiological survey was undertaken to determine the status of dental caries and periodontal health. Periodontal health were analyzed by the tool of CPITN (Community Periodontal Index of Treatment Needs). A questionnaire was used to interview for the practices of toothbrushing. The numbers of subjects were 192 for the interview on toothbrushing, 228 for the survey of dental status and 208 for the survey of periodontal status. The major results were as follows: 1. Toothbrushing frequencies per day were 1.9 among 44-54-year-, 1.7 among 55-64-year- and 1.7 among 65+-year-subjects. Percentages of after-meal-toothbrushings among total brushing frequencies per day were 73.7% among 44-54-year-, 70.6% among 55-64-year- and 76.5% among 65+-year-subjects. 2. DMFT indices were 15.5 among 44-54-year-, 16.4 among 55-64-year- and 26.6 among 65-year-subjects. Decayed teeth component of DMF teeth were 23.9% among 44-54-year-, 11.6% among 55-64-year- and 62.8% among 65+-year-subjects. Missed teeth component of DMF teeth were 55.59% among 44-54-year-, 62.8% among 55-64-year- and 77.4% among 65+-year-subjects. Filled teeth component of DMF teeth were 20.0% among 44-54-year-, 25.0% among 55-64-year- and 10.9% among 65+-year-subjects. 3. Sound permanent teeth were 16.4 among 44-54-year-, 15.6 among 55-64-year- and 5.4 among 65+-year-subjects. Present permanent teeth were 23.7 among 44-54-year-, 21.6 among 55-64-year- and 10.9 among 65-year-subjects. 4. Subjects who needed professional oral prophylaxis were 75.0% among 44-54-year-, 83.3% among 55-64-year-and 76.9% among 65-year-subjects. Subjects who needed complex periodontal treatments were 16.7% among 44-54-year-, 13.3% among 55-64-year- and 15.4% among 65+-year-subjects. 5. Sextants which needed professional oral prophylaxis were 59.3% among 44-54-year-, 71.5% among 55-64-year- and 71.5% among 65+-year-subjects. Sextants which needed complex periodontal treatments were 5.6% among 44-54-year-, 4.1% among 55-64-year- and 5.7% among 65+-year-subjects. 6. Systematic comprehensive oral health care services should be developed for old needy residents in urban area.