• (The)Study of the Eastern Classic
• /
• no.32
• /
• pp.129-158
• /
• 2008

After Four-Seven debate in late 16C, Korean Neo-Confucian scholars had developed their theories on human nature and morality such as Insimdosimsoel (theories on the moral emotion and desire), Inmulsoengron(theories on human nature and animal nature), Mibalsimcheron(theories on the calm mind as the embodiment of morality). Confucian scholars had been active member of society since acceptance of Neo-Confucianism. They had the plans of social reforms on the basis of moral self cultivation from the elite Confucians to commoners. So the Confucian scholar took part in the foundation of new Confucian kingdom, the Joseon Dynasty(1392). Kwon gun(1352~1409), the famous Neo-Confucian scholar wrote Iphakdosoel(pictogram for beginer of Neo-Confucianism) which emphasized the importance of moral self cultivation and that the mandate of heaven in human nature is identical with Li, the moral principle which the origin of the human intrinsic moral ability as the basis of unity with man and heaven. He thought that ethical life is identical with mandate of heaven, so he insisted all the member of society should follow Li, the moral principle which the origin of human morality and social goodness. Also he emphasized the morality was the intrinsic and most important value of human being. Therefore ethical life became essential part of self cultivation. Joeng Ji-un(1509~1561) wrote the Chunmyongdosoel (pictogram of mandate of Heaven), the start point of Four-Seven debate in mid 16C. Joeng followed Kwon's theoretical line. He emphasized the importance of moral self cultivation and the human intrinsic moral ability. He wrote that the Four moral emotions arise from Li, the moral principle of mind, while Seven emotions arise from Ki, vital force of body. He insisted that human being should control Ki, the vital force to follow the Li, the moral principle of mind. This Korean Confucian scholars developed theories of morality and self cultivation. This theories not only show the philosophical speculation of Korean Confucian scholars but also show the social idealism and moral utopianism which grounded on the human morality. So they had trust in human morality which can guide human being into the right track to the good and peaceful society. These tendencies are main characteristics of Korean Neo-Confucianism which has seen from the begining of acceptance of Neo-Confucianism. Some modern philosophical criticism which insist the Korean Neo-Confucian theories such as Four-Senven theories was indulged in academic discussion are not only neglect the historical realty but also ignore the potential of Korean Neo-Confucian heritage.

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

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.16 no.1
• /
• pp.55-69
• /
• 2021

For the national economic development, the participation of women in the social and economic activities is crucial. The popularization of start-ups, digital transformation, and WEconomy trends have lowered the barriers to opportunities for women to start a business and provide an environment in which women can grow faster. This paper examines the significance and process of success of women entrepreneurs and the characteristics of innovation strategies and achievements by linking the recently changing business environment of a company, factors influencing the success of women entrepreneurship, and innovation activities. To this end, four companies' cases were analyzed in the fields of distribution/service and consumer products/services, which are areas of large investment among female startups. The result shows that women entrepreneurs recognize the meaning of success as creating and continuing to create a 'corporate value through establishing a trust relationship with customers' within the 'balance between personal life and work.' In terms of the business ecosystem, women entrepreneurs strive for 'business activities based on the win-win growth of consumers, producers and sellers' for success, and rather 'focus on the process with a problem-solving approach' rather than achieving performance-oriented goals. Also through excellent power of observation, flexibility, and execution power, women entrepreneurs conduct business by adapting to changing trends. In terms of innovation activities, the innovation strategy of women-led companies puts priority on 'creating the value customers want' and focuses on innovation in the 'customer-centric business model' rather than technological innovation. As such, women-led companies show several differentiated characteristics, which enable them to create corporate value and achieve sustainable growth. The barriers to challenges and opportunities for women to start a business have been lowered, and an ecosystem has been created for female startups to grow. But why are there still so few women entrepreneurs, and the answer to where we need to close these gaps is ultimately a close analysis and investigation of the field. We must present milestones for growth steps through the accumulation of case studies of women startups that have exited. In addition, women can stand as economic agents only when the policy targets are subdivided and specific approaches to child-rearing and childcare for women entrepreneurs must be taken. This paper expects to serve as basic data for follow-up studies and become the basis of research for women entrepreneurs to grow as economic agents.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.1
• /
• pp.167-174
• /
• 2022

Since the Promotion Committee was established on March 25, 2021, urging the enactment of the Detective Business Act, many opinions and attention from all walks of life have been gathered. The Detective Business system, which is also one of the presidential pledges of the current 19th President Moon Jae In, is expected to be significant in that it can promote the development of a welfare state as well as efficient parts such as meeting the demand for security reinforcement services, improving the judicial system, and enhancing internationalization. In accordance with the consensus of the nine judges of the Constitutional Court that the lower part of Article 40 of the "Act on the Use and Protection of Credit Information" which prohibits the use of similar names such as investigating the general life of certain people does not violate the Constitution, detective work became possible regardless of the general life investigation. In particular, the detective job officially appeared on August 5, 2020, and it will be able to provide effective work services to the public by competing with prosecutors, police, and lawyers who have occupied exclusive positions in the field of a criminal investigations. However, although the role of detectives is gradually expanding and society is rapidly changing, illegal activities are prevalent throughout society, and more than 1,600 companies are currently operating suspiciously using the only name of "detectives", but the police are virtually letting go of the situation saying that they are "unauthorized.", and the damage is only going to the people, so at this point, the most worrisome thing is the absence of the law. Meanwhile, amid concerns over institutions overseeing illegal activities caused by the emergence of the detective industry, private security and detectives are similar to each other as in the United States, and it is expected to be able to gain public trust by entrusting the police in charge of managing and supervising private security companies. Therefore, at this time when most OECD countries except Korea legislate the Detective Business Act, prematurely allowing only the detective industry without enacting industry-related laws and systems can further fuel social confusion and hinder the detective industry along with the new fourth industry.

• Journal of Intelligence and Information Systems
• /
• v.28 no.3
• /
• pp.259-278
• /
• 2022

With the spread of Artificial Intelligence (AI), various AI-based services are expanding in the financial sector such as service recommendation, automated customer response, fraud detection system(FDS), credit scoring services, etc. At the same time, problems related to reliability and unexpected social controversy are also occurring due to the nature of data-based machine learning. The need Based on this background, this study aimed to contribute to improving trust in AI-based financial services by proposing a checklist to secure fairness in AI-based credit scoring services which directly affects consumers' financial life. Among the key elements of trustworthy AI like transparency, safety, accountability, and fairness, fairness was selected as the subject of the study so that everyone could enjoy the benefits of automated algorithms from the perspective of inclusive finance without social discrimination. We divided the entire fairness related operation process into three areas like data, algorithms, and user areas through literature research. For each area, we constructed four detailed considerations for evaluation resulting in 12 checklists. The relative importance and priority of the categories were evaluated through the analytic hierarchy process (AHP). We use three different groups: financial field workers, artificial intelligence field workers, and general users which represent entire financial stakeholders. According to the importance of each stakeholder, three groups were classified and analyzed, and from a practical perspective, specific checks such as feasibility verification for using learning data and non-financial information and monitoring new inflow data were identified. Moreover, financial consumers in general were found to be highly considerate of the accuracy of result analysis and bias checks. We expect this result could contribute to the design and operation of fair AI-based financial services.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.6
• /
• pp.173-181
• /
• 2021

Chinese people have increasingly high interests in skin care and trust and prefer medical institution products and equipment to treat skin problems. The purpose of this study is to examine skin types and skin care situations, skin care recognition, and skin care satisfaction by gender in medical skin care center patients from in their 10s to 50s in Hainan Province, China. The questionnaire survey consisted of general characteristics(n=8), skin care situations(n=6), skin care recognition(n=11), and skin care satisfaction(n=21). A total of 328 questionnaires were researched from December 21, 2020 to January 9, 2021 using WeChat and Wenjuanxing program. Data were analyzed by SPSSWIN 21.0. Frequency analysis was applied for general characteristics, skin care situations, skin care recognition, and skin care satisfaction and Cronbach's α was used for the reliability of skin care recognition and satisfaction. The relationship among skin care situations, skin care recognition, and skin care satisfaction was analyzed by χ² test and t-test. As a result, the common skin types by gender was dry skin in females and oily skin in males. The highest skin trouble was melasma and pigments in females and pimple in males. The most common way to manage troubled skin was homecare in both females and males, followed by the dermatology department in females and pharmacy in males, suggesting a significant difference. The common period of skin trouble was from one year to three years and the most effective way to improve skin was good life habit, followed by laser treatment in both females and males. The most important consideration to choose a hospital was a famous franchise hospital and the most important matters in management was doctor or skin care professionalism. Skin care and treatment recognition was high in external effects for females and internal effects for males. Skin care satisfaction was high in service for females and effect for males. Skin care satisfaction was significantly higher in males than in females. In conclusion, there was a difference in skin types, skin troubles, skin problems, skin care ways, and skin care satisfaction by gender in Chinese medical skin care center patients. Therefore, this study suggests the development of various products and the need of systematic management programs.

• Journal of Popular Narrative
• /
• v.26 no.4
• /
• pp.9-41
• /
• 2020

Park Jong-won's debut film "Guro Arirang," based on a short story of the same title by Lee Moon-yeol, is the first commercial film to deal with labor struggles from a worker's point of view in the wake of the 1987 democratic movement, and a pioneering work in terms of representing female workers the Korean cinema has traditionally turned away from. In this film Park Jong-won tried to win the sympathy of the middle class for labor movement in spite of the red scare which still stood firm in the Korean society at that time. To convey its progressive message in a form acceptable to the middle class public, the film portrays labor issues in the light of universal humanity and ethics, not in terms of class hostility or struggle. Park Jong-won calls this point of view "common sense of normal people" and emphasizes its universality and objectivity. This study critically examines the cinematic strategies to deal with labor issues in a form acceptable to the public in a conventional and commercial film and the ideological implications of the "common sense of normal people" reflected in such strategies. The first chapter of the study reveals that the film destroys the irony of the original story and reduces the complex constellation of the characters to the conflict between pure good and evil, creating a melodramatic composition in which the good falls victim to evil. The tragedies suffered by the workers in the film are of course intended to arouse the audience's strong sympathy and solidarity with them. The second chapter shows that the film's various scenes and episodes converge on the them of compassion and grief, and are mostly based on cultural and real experiences and events that caused great public sensations at that time. Especially in the last decisive scene of the movie, the memory of the June 1987 uprising is strongly recalled. So "Guro Arirang" can be seen as a patchwork of proven cases of compassion and grief. The third chapter examines the implications of the scene where the workers turn back demands for wages and put the issues of human treatment and trust to the forefront at the crucial moment of their struggle. It appeals to universal moral values and sentiments that everyone has to acknowledge and removes the political dimension from the workers' campaign. While the film tends to become a pure story of humanity marginalizing irreconcilable conflicts of class interest, the workers fall to the position of passive victims who can be deeply sympathetic on the one hand, and on the other, are idealized as leaders with noble attitude keeping themselves aloof from the hard reality. As a result, the movie loses its realistic ground and weakens its narrative probability. The scenes reminiscent of the 1987 uprising which evoke the solidarity between working and middle class fail to integrate harmoniously into the whole story of the film and remain only as fragmentary parts of the patchwork of compassion and grief.

• Journal of agricultural medicine and community health
• /
• v.47 no.2
• /
• pp.90-98
• /
• 2022

Objective: This study aimed to provide basic data for preventing and managing sarcopenia by identifying the relationship between sarcopenia, malnutrition, and psychosocial factors among the elderly in the community. Methods: The study included 1,019 subjects aged 60 and over. "Possible sarcopenia" was defined by low handgrip strength with or without reduced physical performance. Nutrition was evaluated according to the mini nutrition assessment (MNA), and the psychosocial factors examined were self-efficacy, social isolation, fear of falling, and social capital (trust and participation). A logistic regression analysis was also performed on the relationship between risk of malnutrition, psychosocial factors, and sarcopenia. Results: MNA was significantly associated with social participation (OR = 1.747, p <0.001), fear of falling (OR = 2.905, p <0.001), and self-efficacy (high/low, OR = 0.654, p = 0.011). In model 3, which included both MNA and psychosocial factors, sarcopenia was significantly associated with MNA (OR = 2.529, p <0.001) and fear of falling (OR = 1.544, p = 0.045). Compared with the low self-efficacy group, the high group (OR = 0.589, p = 0.009) was significant. The factors related to possible sarcopenia include risk of malnutrition, fear of falls, and low self-efficacy. Conclusion: It will be necessary to improve self-efficacy so that individuals feel they can do activities of daily living themselves and to reduce their fear of falling through muscle strength and balance exercises. Finally, it is also necessary to increase regular participation in community social activities.

• Journal of Christian Education in Korea
• /
• v.70
• /
• pp.207-238
• /
• 2022

Faith education focuses on 'changing the direction of life' that pursues the life of Christ. This is possible only when the message of the Bible is embodied in life, not by accumulating biblical knowledge. Today, however, faith education does not allow biblical messages to be embodied in life. This is the result of focusing on knowing the Bible itself, instead of guiding the faith education to meet the Bible and the experience of human life. Church education emphasized the inner faith of individuals rather than changes in life and practice, preparing for the afterlife, and mostly for the training and quantitative growth of the church. As a result, in the COVID-19 era, Protestants showed an immature appearance that only cared about the safety of the church, and social trust in Protestants was lost. Therefore, faith education should educate what life of the Bible and the experiences of the learner will meet and respond to God in order for the Bible's message to be realized in life. I tried to find out how to prepare for this faith education in detail. So I would like to look at "The preparation process for religious classes related to experience" compiled by the German Protestant Lutheran Bavarian Presbyterian Church and present tasks for application to the Korean Church. Preparation for experience-related religious classes consists of five courses. It is a personal meeting, a theological orientation, a pedagogical orientation, a pedagogical decision, and a summary of the progress plan. The main purpose of this process is to learn how biblical believers interpreted their experiences in life from the perspective of faith and tried to overcome the problem. Faith education related to experience deals with the essence of faith education, not one of the Bible teaching methods. Although the field of education is in the social change of expanding from the real world to the virtual world, the essential nature of faith education cannot change. Therefore, research and application of faith education related to experience in Korean churches will help the biblical message to be embodied in Christian life.

• Journal of the Korean Society for information Management
• /
• v.39 no.1
• /
• pp.257-280
• /
• 2022

In this study, we analyzed comments on news articles of representative companies of the three industries (i.e., semiconductor, secondary battery, and bio industries) that had been listed as national strategic technology projects of South Korea to identify public opinions towards them. In addition, we analyzed the relationship between changes in public opinion and stock price. 'Samsung Electronics' and 'SK Hynix' in the semiconductor industry, 'Samsung SDI' and 'LG Chem' in the secondary battery industry, and 'Samsung Biologics' and 'Celltrion' in the bio-industry were selected as the representative companies and 47,452 comments of news articles about the companies that had been published from January 1, 2020, to December 31, 2020, were collected from Naver News. The comments were grouped into positive, neutral, and negative emotions, and the dynamic topics of comments over time in each group were analyzed to identify the trends of public opinion in each industry. As a result, in the case of the semiconductor industry, investment, COVID-19 related issues, trust in large companies such as Samsung Electronics, and mention of the damage caused by changes in government policy were the topics. In the case of secondary battery industries, references to investment, battery, and corporate issues were the topics. In the case of bio-industries, references to investment, COVID-19 related issues, and corporate issues were the topics. Next, to understand whether the sentiment of the comments is related to the actual stock price, for each company, the changes in the stock price and the sentiment values of the comments were compared and analyzed using visual analytics. As a result, we found a clear relationship between the changes in the sentiment value of public opinion and the stock price through the similar patterns shown in the change graphs. This study analyzed comments on news articles that are highly related to stock price, identified changes in public opinion trends in the COVID-19 era, and provided objective feedback to government agencies' policymaking.