• 유통과학연구
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• 제12권2호
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• pp.7-16
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• 2014

Purpose - The purpose of this study is to target Chinese consumers of Korean agri-food through the analysis of agri-food brand identity images to set future directions for proposed agri-food exports to China. Since negotiations began for a free trade agreement (FTA) between Korea and China, some Koreans have worried about the Korean agriculture sector. The world trading system has undergone many changes in recent years. Since the start of FTA negotiations on agriculture, China and Korea have faced a heightened sense of crisis. China is trying to export agricultural products so actively that its agricultural exports could increase by more than 7% annually. China exported about one-tenth of its agricultural products to Korea in the period 2002-2010. Recently, the importance of brand identity has tended to increase, as the world becomes one unified market. In this situation, we should try to promote agri-food exports to China. It is very important to understand consumers' recognition of Korean food and the image of the Korean agri-food industry, to establish an export strategy. Research design, data, and methodology - This study targeted 2,800 adult men and women aged 25-59 years living in four major cities in China (Beijing, Shanghai, Guangzhou, and Qingdao) with a household income within the top 10% level in the China, using the one-to-one interview survey method. In addition, four groups by region (eight people per group) for a total of 32 groups were surveyed by using the focus group interview (FGI) research method, and impressions of imported agri-food were surveyed using 17 questions about fresh agri-food and 22 questions on processed agri-food. Factor analysis, brand positioning, biplot analysis, and so on, were carried out based on the results of these surveys. This research presents the brand identity of Korean food; according to the analyses, the brand identity is based on trust, safety, and attractiveness. Result - Factor analysis results showed that Chinese consumers expect four major qualities in imported fresh agri-food: freshness/safety, attractive appearance, premium branding, and excellent taste/quality. In the case of processed agri-food, it turned out that Chinese consumers are focused on safety/hygiene/freshness, health, and taste. In addition, in the fresh agri-food analysis by country, American foods had the upper hand; the image of American foods was also recognized as the most positive for processed agri-food. Meanwhile, according to the biplot analysis, Korean agri-food is strongly preferred for its appearance, but no country is strongly preferred as regards the level of freshness/safety that is expected by Chinese consumers. Conclusions - In this study, we analyzed the image of imported agri-food expected by Chinese consumers by reconstructing agri-food characteristics from the brand perspective. The research result shows that a Korean brand identity must be the ultimate goal for activities undertaken to enhance the image of Korean agri-food in the future. Additional research is needed because brand image can be formed through various channels.

• 유통과학연구
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• 제14권8호
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• pp.113-121
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• 2016

Purpose - This paper aims to examine the impact of buyer-supplier cooperation on suppliers' trust on buyers and the moderating role of buyers' governance mechanism between the sharing activities and trust. Research design, data, and methodology - An integrated research model is designed to materialize the research hypotheses. First, the impact of buyer-supplier cooperation is empirically analyzed by looking into how the sharing activities, in the field of information, resource, and knowledge, of buyer with supplier will affect the trust of supplier on buyer. Second, the moderating effect of contract-based governance mechanism of buyer is empirically analyzed. Third, the influence of trust on innovation performance of suppler is empirically analyzed. Results - Our findings provide supporting evidence for some of our hypotheses. First, all of the sharing activities are significantly influential, but in different degree, to trust of supplier. Second, contract-based governance mechanism of buyer have a moderating effect on the relationship between sharing activities and trust, positively in resource-sharing activities, negatively in information-sharing activities, not significant in knowledge-sharing activities. Third, supplier's trust on buyer positively affects supplier's own innovation performance. Conclusions - The strategies applied in supply chain management have become important as the competition among firms has shifted from competition between individual firms to competition between supply chains. A customer's sharing activities with its supplier may contribute to an increase in innovation performance. The supplier's information-sharing activity with its customer could affect its information-sharing activities with its main supplier. Cooperative activity with a partner in the supply chain is cultivated and amassed into relationship knowledge, and this study shows that the cooperative relational knowledge related to information-sharing activities enables firms to participate in sharing activities with their main suppliers. Increasing evidence shows that sharing various activities between buyer and supplier improves trust and performance outcomes, and enables firms to maintain competitive advantage. From the perspective of knowledge theory, external knowledge is becoming more important in firms' innovation activities, because innovative knowledge is acquired primarily through interaction with another organization. In addition, relationship learning could be an important tool in absorbing the supplier's core technology, information, expertise, and core competencies, increasing relational value.

• 유통과학연구
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• 제11권12호
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• pp.13-23
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• 2013

Purpose - There is a dominant opinion that medium and small enterprises in the Korean economy have not developed qualitatively but only towards quantitative growth and, therefore, the unbalanced structure between large enterprises and those that are medium and small has worsened. In particular, this rapid industrialization causes after-effects such as polarization as well as anti-business sentiment, the collapse of the middle class, and hostility against the establishment. The consensus contends that it is difficult for Korea to be an advanced nation without resolving these problems. This paper attempts to suggest a co-prosperity model by limiting the focus to business relations with medium and small manufacturers (with regard to investment among the various co-prosperity institutions of POSCO). These co-prosperity institutions have been established in POSCO; however, it is thought that the development of a co-prosperity model regarding investment in medium and small manufacturers will help many needy investment manufacturers. Research design, data, and methodology - This study analyzes research on the co-prosperity model, using it to examine Korean cases and foreign cases. The co-prosperity model has been continuously extended but is determined to be seriously insufficient. The purpose of this study is to develop the Korean co-prosperity model by reinterpreting it in various aspects. In order to develop the Korean co-prosperity model, this study suggests the case of the establishment of the co-prosperity model by POSCO with medium and small manufacturers with regard to investment. This model is expected to be presented to many enterprises as the future co-prosperity model. Results - To date, analysis of the co-prosperity model itself and the co-prosperity model through the case of POSCO have been suggested. As empirical studies on co-prosperity in Korea are not sufficient, successful models of co-prosperity should be developed in various aspects in future. It is expected that through this study, medium and small manufacturers would have an opportunity to find various growth engines by actively using the cooperation platform and establishing optimized competitiveness of steel material through a steel business model. The ecosystem of enterprises may evolve and be healthier by making more joint products through productive business relationships between large enterprises and those that are medium and small. From the enterprises' ecosystem viewpoint, cooperation between such businesses rather than one-way support is identified as an essential element for the security of inter-competitiveness. Conclusions - Infrastructure should be established to form a dynamic industry ecosystem not by transient efforts in co-prosperity, but by an entire culture of co-prosperity across industries. In this respect, the leading role of public institutions needs to be intensified initially. In addition, the effects of co-prosperity should be extended to blind spots of policies such as third party companies and regions. A precise co-prosperity monitoring system should be established to continuously conduct and extend these efforts.

• 유통과학연구
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• 제11권12호
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• pp.51-62
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• 2013

Purpose - A pre-study on service quality-based customer value is conducted with the path structure (perceived value of service quality→customer satisfaction→behavior intention) based on the hierarchical model of service quality including interaction and outcome quality, physical environment quality and the SERVQUAL model of process quality, namely, reliability, responsiveness, assurance, empathy, and tangibles. In addition, customer value in the service industry is studied by dividing into the two-way structure of utilitarian and emotional values. This study classifies customer values of family restaurants through the customer value model based on the 4×4 matrix needs system of Jeon and Kim (2009). It illustrates the path structure of customer value→customer satisfaction→behavior intention targeting college students in order to generalize the customer value system of family restaurants. Research design, data, and methodology - This study established seven hypotheses based on the relationship between each type of customer value (food quality, convenience, social, emotional, interior quality, service encounter, and purchasing) and customer satisfaction, and the relationship between customer satisfaction and behavior intention. The study data were collected from students in the Department of Business and Tourism at Kimpo University. In all, 294 survey papers were returned of the 300 distributed: 253 pieces were used in the final analysis excluding 41 with insufficient and less effective answers. For statistical analysis, the statistics software package SPSS 15.0 was used. Results - The results of the analysis are as follows: first, the customer values of family restaurants are classified by seven customer values: goods quality value, emotional value, convenience value, social value, purchasing value, service encounter value, and inner quality value. Second, emotional value, purchasing value, service encounter value, and inner quality value had positive impact on customer satisfaction. In particular, purchasing value through being included in functional value was not classified in the previous study; however, this study could classify and generalize this value in a new way. Finally, customer satisfaction had a positive impact on behavior intention. This showed that college students had behavior intention - repurchase intention and word-of-mouth - because they could be content with the food items on the menu and the service provided by employees. Conclusions - The main points based on the above-mentioned results are as follows. This study with college students as study subjects could be classified into four dimensions, namely, generic value, usage value, purchasing value, and physical value and seven sub-dimensions on customer values of family restaurants based on a 4×4 matrix needs system. Then, to confirm its generalization, the path structure of customer value→customer satisfaction→behavior intention was verified. While existing pre-studies used simplified values by classifying restaurant values largely as utilitarian value and hedonic value, this study classified various forms of customer value, and that customer value especially could be expanded by adding purchasing value. As a result, it is shown that marketers need to diversify their customer services because this study proved that customer values can be classified in various ways based on customer needs.

• 산경연구논집
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• 제10권3호
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• pp.59-72
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• 2019

Purpose - Blockchain technology, which has the characteristics of credibility, security, integrity and decentralization, has brought innovation to internet platforms that mediate peer to peer transactions, as well as changes to the contents distribution services. Blockchain-based copyright distribution platforms can solve problems which have been articulated on prior internet social networks: increased market dominance of platform business because of centralization with no reward to creators who upload on platforms, and lack of fairness, such as unfair profit distribution between the copyright holder and businesses. With this background, the current research confirmed the factors that affect the intention of usage and behaviors, targeting potential users of blockchain-based copyright distribution platforms. Research design, data, and methodology - Centered around the UTAUT2 Model, the research model was designed with 'Perceived Security' added as Construct, and 'Age' and 'Knowledge Level' added as moderating variables. For data, 607 responses were collected by an online survey, and 601 responses were included in the final analysis. We analyzed the research model and sample by using SPSS 23.0 and AMOS 23.0 on the collected responses. Results - First, results of research on whether Constructs make positive effects on Intention of use is: social influence, facilitating conditions, habit, and perceived security had positive effects on intention of use, and performance expectancy, effort expectancy, hedonic motivation, and economic value did not. Second, results of the research on whether facilitating condition, habit, and intention of use made an impact on using behaviors, it was shown that only habit and intention of use made positive effects. Third, in two groups divided by age above or under 40, group effort expectancy, intention of use, habit, and intention of use had controlling effects, and facilitating condition, intention of use, perceived security, and intention of use had effects in both groups. Conclusions - The research shows that no matter how great a blockchain-based platform is, if advantages of blockchain are not proved in various industries and utilized in real life like the internet, blockchain-based distribution systems will develop slowly. Rather than a short-term inducement emphasizing technology, there is a need for a strategic approach that can foster the environment.

• 산경연구논집
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• 제11권7호
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• pp.29-40
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• 2020

Purpose: In modern society, many urban problems are occurring, such as aging, hollowing out old city centers and polarization within cities. In this study, we intend to apply big data and machine learning methodologies to predict depression symptoms in the elderly population early on, thus contributing to solving the problem of elderly depression. Research design, data and methodology: Machine learning techniques used random forest and analyzed the correlation between CES-D10 and other variables, which are widely used worldwide, to estimate important variables. Dependent variables were set up as two variables that distinguish normal/depression from moderate/severe depression, and a total of 106 independent variables were included, including subjective health conditions, cognitive abilities, and daily life quality surveys, as well as the objective characteristics of the elderly as well as the subjective health, health, employment, household background, income, consumption, assets, subjective expectations, and quality of life surveys. Results: Studies have shown that satisfaction with residential areas and quality of life and cognitive ability scores have important effects in classifying elderly depression, satisfaction with living quality and economic conditions, and number of outpatient care in living areas and clinics have been important variables. In addition, the results of a random forest performance evaluation, the accuracy of classification model that classify whether elderly depression or not was 86.3%, the sensitivity 79.5%, and the specificity 93.3%. And the accuracy of classification model the degree of elderly depression was 86.1%, sensitivity 93.9% and specificity 74.7%. Conclusions: In this study, the important variables of the estimated predictive model were identified using the random forest technique and the study was conducted with a focus on the predictive performance itself. Although there are limitations in research, such as the lack of clear criteria for the classification of depression levels and the failure to reflect variables other than KLoSA data, it is expected that if additional variables are secured in the future and high-performance predictive models are estimated and utilized through various machine learning techniques, it will be able to consider ways to improve the quality of life of senior citizens through early detection of depression and thus help them make public policy decisions.

• 한국미생물·생명공학회지
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• 제41권4호
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• pp.398-406
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• 2013

본 연구에서는 B. bassiana Bb08가 생산하는 진딧물 살충 대사산물의 최대 생산을 위하여 박스벤켄(Box-Behnken) 디자인과 표면반응분석을 이용한 통계적 방법을 사용하였다. 균배양을 위한 배지는 옥수수분말, 미강, 옥수수침지액분말로 구성되었다. 균배양액은 원심분리 후 상등액을 $0.45{\mu}m$ 막여과지로 여과한 후 3령의 목화진딧물에 살포하였고, 6일 동안 매일 죽은 진딧물 수를 계수하여 살충율을 계산하였다. 통계분석한 결과 최적의 배양조건은 온도 $26.2^{\circ}C$, 배지 초기 pH 5.9, 플라스크 진탕 속도 209.0 rpm, 그리고 균배양 시간은 5.9일로 나타났다. 여과액 살포 후 4, 5, 그리고 6일째 기대 살충율은 각각 76.8, 84.9, 그리고 89.4%이었다, 배양조건 4가지 모두 살충성 대사산물 생산에 유의한 영향을 미쳤고, 영향이 큰 요인 순서는 온도, pH, 배양시간, 진탕속도의 순서로 분석되었다.

• 복식
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• 제19권
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• pp.141-155
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• 1992

The Buddhist costumes, unlike the ordinary ones, have not been studied comprehensively due to their religious, non-popular and non-social features. In this regard, this paper aimed at reviewing the styles and symbolic Characters of the monks' dancing costumes for the traditional Buddhist ceremony of 'Spirit Vulture Peak'(The Intangible Cultural Asset No.50.) Here, the 'Spirit Vulture Peak Ceremony' is a kind of Buddhist ceremony commemorating the Buddha's preaches on the peak of Mt. Grdhrakuta by means of symbolized ritual and reformation procedures. The methodology of this study depended on the research of literatures, personal observation of the actual ceremony and the discussion with Priest Park Song-am. The dancing style of the Ceremony can be divided into four categories; the cymbal dancing., the drum dancing , the butterfly dancing and the column-beating dancing. And for the dancing costumes, the loose ritual mantle, the long-sleeve robe and the buddhist costume are used; the loose mantle and the long-sleeve robe are for the drum dancing. The style of the loose mantle is rectangular, sewn every odd knot between 5 and 25 ones. According to the record, its color was initially grey or red-yellow, but varied depending on the local rules. The four corners of the loose mantle have a rectangular-cloth embroidery of sky & king patterns, and the center is embroidered with the Sun'Moon designs or 'Om/Nan' letters in the Korean spells. The light of Sun/ Moon designs symbolizing the sky and the earth respectively are indigenous to a particular school in Korea. The long-sleeve robe has a traditional over-coat style. and is called otherwise of if some design is added. The total clothing or dancing costumes for the Ceremony include 'the Dae-ryung (meaning great peake)loose mantle', 'the White Paldad(meaning Chinese Character eight) long-sleeve robe and the peaked hat. The Dae-ryung mantle is a kind of ritual costumes with the shorter length than the ordinary mantles, and has a character 'Ryung' in Chinese spell attached with three to six colors. The White Paldae robe is shorter than the ordinary robes in the total length but longer in the length of sleeves. It is put on over the mantle from the left shoulder, and used often for the butterfly and column-beating dancings. It is hoped that this study will promote the study on the customs and rites of the Buddhism rather than on the thoughts, and contribute to the further studies.

• 복식
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• 제57권2호
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• pp.69-85
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• 2007

Despite the recovery of consumer expenditure and retailing in the Korean economy after 2001, the domestic apparel industry has been aggravated by negative growth in both productivity and production. The purpose of the stud? is to diagnose the develop competitive of the Korean apparel industry and derive implications for this after estimating the efficiency of the Korean apparel companies with Data Envelopment Analysis. Data Envelopment Analysis(DEA) is a methodology based in non-parametric analysis and linear programming. It was developed for measuring the relative efficiency of a set of firms that use inputs to produce outputs. Data used fer input and output variables in the analysis are drawn from financial statement recorded by the Korean Financial Supervisory Service. The initial input data comprise the number fo the employees, fixed assets, general management and selling expenses, and cost of sales. The initial outputs are the operating profit and the gross margin. To summary the results, the efficiencies of the Korean apparel companies has increased yearly in spite of being overabundance of investment in Labour and Capital. According to correlation between input and output variables, the Korean apparel industry has been revamping gradually from labor intensive industries to the capital. The companies need to reduce costs in the results from the number of employees, fixed asset and cost of sales to transform into an efficiently enterprise. The companies owning or obtaining a brand had bitter establish an outsourcing strategic in production, while OEM corporations are called far setting up a manufactory in domestic or abroad. Although the paper is derived some implications with production efficiencies, the relation between apparel companies and brand power, consumption level of consumer, and social trend is remained on a limitation to the study. The next research necessitates a topic with Fashion industry or examining the correlation between brand value, social propensity and profit margin.

• 유통과학연구
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• 제13권4호
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• pp.45-53
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• 2015

Purpose - Online shopping enables consumers to conveniently purchase products irrespective of the time and place. As a result, several online shopping companies have emerged to cater to this growing market and, therefore, the competition among them has become increasingly intense. This paper evaluates the comparative efficiency of online shopping companies for a multi-year period (2009-2013), in order to help online shopping managers identify major drivers for enhancing management efficiency and the subsequent competitiveness. Research design, data, and methodology - The researchers collected the data from 2009 to 2013 from the distribution yearbook. This paper analyzes the marketability (sales figures), profitability (business profits), and management conditions (net profits) of domestic online shopping enterprises by incorporating information on human resources (number of employees) and material resources (total assets and capital). Therefore, the number of employees, total assets, and capital are selected as input variables, and sales figures, business profits, and net profits as the output variables. In this study, Data Envelopment Analysis (DEA) was used to measure the comparative efficiency of domestic online shopping companies. In addition, the Malmquist Productivity Index was used to evaluate the trend of change of Decision Making Units' (DMUs') efficiency for a multi-year period. Results - First, as of 2013, Interpark (2.415) was found to be the most efficient online shopping enterprise, followed by Aladdin Communications (2.117), Hyundai Home shopping (1.867), Home&Shopping (1.176), NS Home shopping (1.170), Commerce Planet (1.126), CJ O Shopping (1.105), Ebay Korea (1.088), and GS Home Shopping (1.051). Second, this study recognizes how the management efficiency has changed for the period 2009-2013. Third, the lesser the capital and employees, the more are the net profits, and the better is the management efficiency of domestic online shopping companies. Lastly, the productivity of such companies is influenced by endogenous factors rather than exogenous factors such as shifts in business environment and technological advances. Conclusions - DHC Korea influenced various distribution channels to reach customers through the Internet. Consequently, this helped in increasing the awareness about its products, in addition to an increase in sales. These achievements can be attributed to the characteristics of online shopping companies. Although it is easy for these companies to suggest goods for one-off purchases, they however have difficulties in retaining customers. Overcoming this challenge can be one of the ways to benchmark a successful case of an efficient company. For example, an online shopping company can attract customers by developing a corresponding mobile application as a convenient way to shop online. Additionally, they can satisfy customers by quick delivery of purchased products, which is possible by building an effective logistics network. Our study indicates that the productivity of an online shopping company was influenced by endogenous factors driven by improvements in managerial practices rather than exogenous factors. Accordingly, online shopping companies should adopt strategies to improve their operational efficiency rather than sales volume-oriented management.