• Journal of Life Science
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• v.26 no.2
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• pp.190-197
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• 2016

Aflatoxin M₁ can be produced in cow’s milk when cows eat contaminated produce. Milk is a major source of food for infants and for children who have a weak level of immunity, and the detection of Aflatoxin M₁ for risk assessment is necessary in order to reduce the amount of it in milk. In this study, the Aflatoxin M₁ level was monitored for one year in raw milk samples obtained from Chungnam Province, Korea. The milk samples were divided into three categories: 1. milk samples from a standard general farm, 2. milk samples from a HACCP controlled farm, and 3. milk samples from the supply of Aflatoxin M₁ reduced fodder. The average concentrations of Aflatoxin M₁ in milk were 0.023±0.005 ug/l for the standard general farm, 0.017±0.004 ug/l for the HACCP controlled farm, and 0.013±0.003 ug/l for the supply of Aflatoxin M₁ reduction fodder. Milk collected from the supply of Aflatoxin M₁ reduction fodder had the lowest level of Aflatoxin M₁. However, when efficiency and economic aspects are considered the most effective way of reducting Aflatoxin M₁, could be taking milk from the HACCP controlled farm and implementing good feed management. Institutional support from the government, careful management of dairy farming, and a strict farm sanitation program are required in order to lower the level of Aflatoxin M₁ in milk.

• Asia pacific journal of information systems
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• v.19 no.4
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• pp.177-200
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• 2009

AIn the advanced - economy, the services industry hasbecome a dominant sector. Evidently, the services sector has grown at a much faster rate than any other. For instance, in such developed countries as the U.S., the proportion of the services sector in its GDP is greater than 75%. Even in the developing countries including India and China, the magnitude of the services sector in their GDPs is rapidly growing. The increasing dependence on service gives rise to new initiatives including service science and service-dominant logic. These new initiatives propose a new theoretical prism to promote the better understanding of the changing economic structure. From the new perspectives, service is no longer regarded as a transaction or exchange, but rather co-creation of value through the interaction among service users, providers, and other stakeholders including partners, external environments, and customer communities. The purpose of this study is the following. First, we review previous literature on service, service innovation, and service systems and integrate the studies based on service dominant logic. Second, we categorize the ten propositions of service dominant logic into conceptual propositions and the ones that are directly related to service provision. Conceptual propositions are left out to form the research model. With the selected propositions, we define the research constructs for this study. Third, we develop measurement items for the new service concepts including service provider network, customer network, value co-creation, and convergence of service with product. We then propose a research model to explain the relationship among the factors that affect the value creation mechanism. Finally, we empirically investigate the effects of the factors on firm performance. Through the process of this research study, we want to show the value creation mechanism of service systems in which various participants in service provision interact with related parties in a joint effort to create values. To test the proposed hypotheses, we developed measurement items and distributed survey questionnaires to domestic companies. 500 survey questionnaires were distributed and 180 were returned among which 171 were usable. The results of the empirical test can be summarized as the following. First, service providers' network which is to help offer required services to customers is found to affect customer network, while it does not have a significant effect on value co-creation and product-service convergence. Second, customer network, on the other hand, appears to influence both value co-creation and product-service convergence. Third, value co-creation accomplished through the collaboration of service providers and customers is found to have a significant effect on both product-service convergence and firm performance. Finally, product-service convergence appears to affect firm performance. To interpret the results from the value creation mechanism perspective, service provider network well established to support customer network is found to have significant effect on customer network which in turn facilitates value co-creation in service provision and product-service convergence to lead to greater firm performance. The results have some enlightening implications for practitioners. If companies want to transform themselves into service-centered business enterprises, they have to consider the four factors suggested in this study: service provider network, customer network, value co-creation, and product-service convergence. That is, companies becoming a service-oriented organization need to understand what the four factors are and how the factors interact with one another in their business context. They then may want to devise a better tool to analyze the value creation mechanism and apply the four factors to their own environment. This research study contributes to the literature in following ways. First, this study is one of the very first empirical studies on the service dominant logic as it has categorized the fundamental propositions into conceptual and empirically testable ones and tested the proposed hypotheses against the data collected through the survey method. Most of the propositions are found to work as Vargo and Lusch have suggested. Second, by providing a testable set of relationships among the research variables, this study may provide policy makers and decision makers with some theoretical grounds for their decision making on what to do with service innovation and management. Finally, this study incorporates the concepts of value co-creation through the interaction between customers and service providers into the proposed research model and empirically tests the validity of the concepts. The results of this study will help establish a value creation mechanism in the service-based economy, which can be used to develop and implement new service provision.

• Korean Journal of Remote Sensing
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• v.26 no.5
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• pp.477-487
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• 2010

In North Korea, forests were intensively degraded by forest land reclamation for food production and firewood collection since the mid-1970s. These degraded forests have to be certainly recovered for economic support, environmental protection and disaster prevention. In order to provide detailed land cover information of forest recovery project (A/R CDM), this study was focused to develop an improved classification method for degraded forest using 2.5m SPOT-5 pan-sharpened image. The degraded forest of North Korea shows various different types of texture. This study used GLCM texture bands of segmented image with spectral bands during forest cover classification. When scale factor 40/shape factor 0.3 was used as a parameter set to generate segment image, segment image was generated on suitable segment scale that could classify types of degraded forest. Forest land cover types were classified with an optimum band combination of Band1, Band2, band3, GLCM dissimilarity (band2), GLCM homogeneity (band2) and GLCM standard deviation (band3). Segment-based classification method using spectral bands and texture bands reached an 80.4% overall accuracy, but the method using only spectral bands yielded an 70.3% overall accuracy. As using spectral and texture bands, a classification accuracy of stocked forest and unstocked forest showed an increase of 23~25%. In this research, SPOT-5 pan-sharpened high-resolution satellite image could provide a very useful information for classifying the forest cover of North Korea in which field data collection was not available for ground truth data and verification directly. And segment-based classification method using texture information improved classification accuracy of degraded forest.

• Korean Journal of Social Welfare Studies
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• v.44 no.3
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• pp.371-393
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• 2013

The objective of this article is to compare the characteristics and the origin of Welfare State in Korea and France. This study also finds out the causes of underdevelopment of Welfare State in Korea. In the third Republic of France, the first Industrial Accident Compensation Law was legislated in 1898. The discussion of the project of Law commenced in 1880. The Parliamentary Debate on the legislation of the Law had continued for 18 years. The leaders of the debate was the group of progressive Republicans(Radicals) in the French Parliament. In Korea, it was also in the period of the third Repulic, the President and several members of the Supreme Committee of National Reconstruction (Guk-Ga-Jai-Gun-Choi-Go-Ho-Eui), the authoritative military government who enacted and developed the Social Insurance Law of Industrial Accident Compensation, the first Law of Welfare State in Korea. However, Korea and France show more differences than similarities in the terms of the origin of the Welfare State. The motivations and goals of social policies of the two countries were quite different at the beginning stage. In France, the progressive Republicans of Parliament made welfare state policies in order to maintain the politico-social hegemony and social peace by provision of economic supports to workers. In Korea, the group of military officers had begun the welfare legislation in order to win the general election and obtain political power in 1963. Comparison on the origins of the welfare states in the two countries shows similarities as well as differences in terms of the role of actors. In France, the state and the owners of big enterprises had agreed and played positive roles in the legislation of the welfare state policies. However, the owners of small companies, merchants and farmers had played negative roles. Like the French case, Korean government and owners of big enterprises had played positive roles. The state as a major actor of the legislation of the social insurance programs in the two countries are slightly different. In Korea, the owners of small companies had played negative roles in making of medical insurance programs in 1976. Comparison of the current state of two welfare states shows substantial differences in terms of the development of the welfare state. What is the reason for such differences? Why does Korean Welfare State underdevelop? Historically, the developmentalism as an major ideology of the third Republic of Korea has continually influenced the underdevelopment of the Welfare State. It implies that Koreans have to invent a new ideology of Welfare State which can replace the developmentalism and support the development of Welfare State in the future. Without such a new ideology, it is very difficult to develop an european style welfare state in Korea.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.153-165
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• 2021

With the disappearance of boundaries between online and offline, the O2O(online to offline) platform service is rapidly growing. Unlike general products, freshness is an important decision-making factor for agri-food, and there are many limiting factors for growth as an open market among O2O platforms due to the characteristics of difficult refunds and exchanges compared to other items and new transaction methods. In order to overcome these obstacles, consumer innovation must be considered. The purpose of this study was to investigate the influence of O2O(online to offline) platform characteristics perception on agri-food repurchase intentions. And an empirical survey of the hypothesis is made that innovation will show a moderating effect between agri-food O2O platform characteristics and repurchase intention. And an empirical survey of the hypothesis is made that innovation will show a moderating effect between agri-food O2O platform characteristics and repurchase intention. For this purpose, Using a convenience sampling technique, an online survey was conducted through Google survey from April 1 to April 15, 2021. A total of final analysis data were collected from a total of 270 purchase experienced of agri-food O2O(online to offline) platform. The SPSS program was used for analysis, and multiple regression analysis was used for hypothesis verification. The results showed that Economic, Interaction, and Playfulness had a significant positive effect on agri-food repurchase intend. Also, Interactivity × innovation, playfulness × innovation were found to have a significant positive (+) effect on repurchase intention. The results of this study show that innovation reduces the burden on consumers for new systems and mobile transactions. The results of this study suggest that convenient interface design is important for activating O2O transactions of agri-food. In addition, education and support are needed to strengthen the IT competency of farmers. The results of this study will be able to contribute to the establishment of infrastructure for agri-food open market shopping malls. In future studies, the influence of the O2O platform type on the purchase intention should be studied continuously.

• Cross-Cultural Studies
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• v.48
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• pp.361-389
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• 2017

This essay examines 'precarity politics' by Judith Butler, a well-known gender theorist and queer philosopher, in Notes Towards a Performative Theory of Assembly (2015) focused on concepts as unchosen cohabitation of Hannah Arendt and unwilled proximity of Emmanuel Levinas. Butler's precarity politics is the condition of our dispossessed political beings with fundamental vulnerability and interdependency that cannot choose with whom we will live on this Earth. Butler's political ethics is twofold: on one hand, she examines significance of 'action'' the most significant vita activa in the public area, and 'plurality'' the condition-not only the necessary condition but the possible condition-for a political life suggested by Hannah Arendt in Human Condition; on the other hand, Butler reflects upon global precarity based on a diasporic precarious life in the social world towards freedom and equality. Unchosen cohabitation of plural humans on Earth, and global pervasion of precarity, that indicates "politically induced condition in which certain populations suffer from failing social and economic networks of support and become differentially exposed to injury, violence, and death," so called "differential distribution of precariousness," are practical possibilities of ethical and equal cohabitation of different ethnic groups in the social world. Ethical obligations or ethical demand to respond to others' suffering in distance and proximity originated from precarity politics, mentioned in Precarious Life, Parting Ways, and Frames of War, could be non-foundational joint of plural people living together globally. We should presume the 'reversibility' of distance and proximity in others' suffering, based on responsiveness and responsibility of others, if we want to stay attuned to the pain of others we never chose to live together. That is the significance of Butler's 'precarity politics' with 'ethical obligation' to accept 'unchosen plurality' of living population on Earth, and 'reversibility between of distance and proximity,' in her 'new plural and embodied body politics' or 'new corporeal ontology', through human primary vulnerability, fundamental interdependency, being exposed and responsive to suffering of others.

• Journal of Korean Society of Forest Science
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• v.108 no.3
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• pp.429-439
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• 2019

The objectives of this study were to gauge the extent of the forestry business through establishing the definition of forestry industry from the perspective of economic convergence and to analyze key components that affect each growth phase of a forestry business entity by classifying them. A total of 1,397 "sixth-sector industry" management entities were certified by the Ministry of Agriculture, Food, and Rural Affairs in South Korea from 2012-2017. Of these, 259 (18.5%) were in the forestry sector. In this study, the 259 forestry management entities were further classified into three phases based on sales distribution: entrance, development, and maturity. The entrance phase (<100 million KRW), development phase (>100 million and <1 billion KRW), and maturity phase (>1 billion KRW) constituted 33.2%, 55.4%, and 12.4% of the total 259 entities, respectively. The results showed that most of the management entities were either in the entrance or development phases, and only a small portion was in the maturity phase. To identify the key variables that affect each of the phases, chi-square analysis was used. We designed the "sixth-sector industry" type as an independent variable, whereas selected region, business organization, manager age group, forest product, processing type, and service type were designated as dependent variables. The results of the analysis showed that the processing and service types influenced all three developmental phases. Moreover, as the phase advanced, processing type showed a higher proportion of health-functional ingredients, such as powder or extract from forest products, which enable to develop and produce a variety of products. Service type also changed from simple experience to integrated experience tourism and finally to tourism education. Distribution and sales channel also turned out to be a significant factor during the development phase. This study provides the basic information needed to guide government support in the implementation of a formal forestry business through convergence as well as to increase the efficiency of business management.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.1-17
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• 2019

Because stock price forecasting is an important issue both academically and practically, research in stock price prediction has been actively conducted. The stock price forecasting research is classified into using structured data and using unstructured data. With structured data such as historical stock price and financial statements, past studies usually used technical analysis approach and fundamental analysis. In the big data era, the amount of information has rapidly increased, and the artificial intelligence methodology that can find meaning by quantifying string information, which is an unstructured data that takes up a large amount of information, has developed rapidly. With these developments, many attempts with unstructured data are being made to predict stock prices through online news by applying text mining to stock price forecasts. The stock price prediction methodology adopted in many papers is to forecast stock prices with the news of the target companies to be forecasted. However, according to previous research, not only news of a target company affects its stock price, but news of companies that are related to the company can also affect the stock price. However, finding a highly relevant company is not easy because of the market-wide impact and random signs. Thus, existing studies have found highly relevant companies based primarily on pre-determined international industry classification standards. However, according to recent research, global industry classification standard has different homogeneity within the sectors, and it leads to a limitation that forecasting stock prices by taking them all together without considering only relevant companies can adversely affect predictive performance. To overcome the limitation, we first used random matrix theory with text mining for stock prediction. Wherever the dimension of data is large, the classical limit theorems are no longer suitable, because the statistical efficiency will be reduced. Therefore, a simple correlation analysis in the financial market does not mean the true correlation. To solve the issue, we adopt random matrix theory, which is mainly used in econophysics, to remove market-wide effects and random signals and find a true correlation between companies. With the true correlation, we perform cluster analysis to find relevant companies. Also, based on the clustering analysis, we used multiple kernel learning algorithm, which is an ensemble of support vector machine to incorporate the effects of the target firm and its relevant firms simultaneously. Each kernel was assigned to predict stock prices with features of financial news of the target firm and its relevant firms. The results of this study are as follows. The results of this paper are as follows. (1) Following the existing research flow, we confirmed that it is an effective way to forecast stock prices using news from relevant companies. (2) When looking for a relevant company, looking for it in the wrong way can lower AI prediction performance. (3) The proposed approach with random matrix theory shows better performance than previous studies if cluster analysis is performed based on the true correlation by removing market-wide effects and random signals. The contribution of this study is as follows. First, this study shows that random matrix theory, which is used mainly in economic physics, can be combined with artificial intelligence to produce good methodologies. This suggests that it is important not only to develop AI algorithms but also to adopt physics theory. This extends the existing research that presented the methodology by integrating artificial intelligence with complex system theory through transfer entropy. Second, this study stressed that finding the right companies in the stock market is an important issue. This suggests that it is not only important to study artificial intelligence algorithms, but how to theoretically adjust the input values. Third, we confirmed that firms classified as Global Industrial Classification Standard (GICS) might have low relevance and suggested it is necessary to theoretically define the relevance rather than simply finding it in the GICS.

• Journal of Nutrition and Health
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• v.52 no.1
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• pp.58-72
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• 2019

Purpose: This study examined the food and nutrient intake of Korean elderly according to the anxiety and depressive condition using the data from the Korea National Health and Nutrition Survey (KNHANES) from 2013 to 2015. Methods: The participants were 3,504 elderly people over 65 years of age (1,523 in men and, 1,981 in women). The dietary information was analyzed using the 24-hour recall data. The anxiety and depressive state was assessed using the self-reported scale EQ-5D in the quality of life dimension. The subjects were divided into the anxiety depression group (AD) and non-anxiety depression group (NAD) according to their anxiety and depressive conditions. Results: In the male elderly, the AD group had a significantly lower education and economic level and higher proportion in living alone than the NAD group. The percentage of eating lunch and dinner alone in the male AD group was higher than that of the NAD group. The female AD group showed less a lower frequency of dinner than the NAD group. The male AD group had a lower consumption of total foods, fish and shellfishes, seaweeds, mushrooms, oils and fats, and seasonings than the NAD group. With regard to the nutrient intake, the male elderly NAD group had more sufficient nutrient intakes than the AD group. In particular, the daily intakes of dietary fiber, riboflavin, niacin, potassium and iron were significantly lower in the AD group. To compare with the nutrient density of the two groups, the vitamin C and niacin intakes were lower in the AD group than in the NAD group. Overall, the nutritional status of the male AD group was significantly lower than that of the NAD group. Meanwhile, the female elderly had showed a smaller difference in nutrient intake according to their anxiety and depressive condition. Conclusion: These results of this study show that more nutritional education and emotional support are needed to improve the nutritional status and health of the male elderly with anxiety or depression.

• Journal of Nutrition and Health
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• v.52 no.1
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• pp.73-89
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• 2019

Purpose: This study was conducted to identify the dietary life and nutritional status of Korean elementary school students according to breakfast frequency and to clarify the relationship between breakfast frequency of elementary school students and parental dietary and social environmental factors. Methods: This study used data from the 2013 ~ 2015 Korea National Health and Nutrition Examination Survey (KNHANES VI). The subjects were 1,325 elementary school students aged 6 to 11 years old. Subjects were categorized into two groups: a skipping breakfast group (ate breakfast 0 ~ 4 times per week), eating breakfast group (ate breakfast 5 ~ 7 times per week) by sex and grade (lower grade: 1st ~ 3rd/upper grade: 4 th ~ 6 th). Results: Among upper grade boys and girls, the skipping breakfast group had a higher rate of childhood obesity than the eating breakfast group. In lower grade boys, the mothers of the skipping breakfast group had higher rates of economic activity and eating breakfast alone without family members than the mothers of the eating breakfast group. For lower grade boys and girls and upper grade boys, the skipping breakfast group had a higher rate of parents who did not eat breakfast than the eating breakfast group. The energy intake of the breakfast consumed by all subjects was less than 25% of the Estimated Energy Requirements (EER). Moreover, for upper grade boys and girls, the skipping breakfast group had a higher rate of subjects whose daily intake was below the Estimated Average Requirement (EAR) for iron than the eating breakfast group. Conclusion: Breakfast frequency of elementary school students was related to childhood obesity. The frequency of eating breakfast among elementary school students was related to the dietary life factors of parents such as breakfast frequency and dietary condition. Intake for breakfast was less than 25% of the EER, while the skipping breakfast group had a higher rate of subjects whose daily intake was below the EAR for iron than the eating breakfast group. Therefore, it is necessary to consider diverse forms of policy support such as opening nutrition education programs for parents and practicing morning meals at school for elementary school students to provide regular and balanced breakfasts.