• 대한공업교육학회지
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• v.38 no.1
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• pp.1-27
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• 2013

The purpose of this study was to find out the areas and their constitute elements of new apprenticeship through the expert of vocational education to improve the growth potential in the field of industry. Through the three times Delphi research process final composing areas and elements(total 6 areas and 41 sub-elements) of new apprenticeship were extracted. Followings are specific study results of 41 sub-elements for the 6 areas. In area A(Technology Skill aspect) total nine sub-elements were deducted as follows. Technology skill's field appling ability, new technology skill's acquisition, quality assurance ability, research development ability, material management using ability, problem solving ability, core technology skill understanding ability, idea's imagery expressing ability, creative design ability. In area B(Institutional aspect) total five sub-elements were deducted as follows. Flexible human material support, precise division of works, objective result assessment, institutionalization of responsibilities and liabilities between teacher and student, institutionalization of duty invention reward. In area C(Affective aspect) total eight sub-elements were deducted as follows. Manners and cooperation between teacher & student and peer, values for job, basic attitude for technology, job ethic sense, respect of other organization, active action to organization change, attitude of technology successor, service mind. In area D(Self-improvement aspect) total nine sub-elements were deducted as follows. Self evaluation and reflection, cultivate of organization understanding, career planning and developing ability, sound philosophy of life, communication ability, decision making ability, prepare of individual competence enhance system, self-control ability improvement, reaction of unexpected situation. In area E(Knowledge aspect) total four sub-elements were deducted as follows. Basic knowledge of relevant area, knowledge of new technology & preceding technology, fusion and relocation of knowledge, practical knowledge. In area F(Environmental aspect) total six sub-elements were deducted as follows. Awareness of business environment, understanding of education and practice environment, understanding of apprenticeship's business demand, connectivity of region community, adapt ability of labor market's change, awareness of society environment change.

• Journal of Fashion Business
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• v.11 no.2
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• pp.76-91
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• 2007

The domestic market for scalp care and hair loss management reached 1 trillion won. The market for hair loss management is expected to expand further. Systematic scalp and hair care services, such as scalp scaling, scalp massage, equipment maintenance, scalp care products sale, and care program based on scalp and trichology are provided. This study examined the status of hair loss management and use of hair care products by people experiencing hair loss and the level of their satisfaction. In addition, this study presents basic data for the effective hair loss management and marketing strategies for scalp and hair loss clinics. The results are as follows. 41.2% of the study subjects were in their 20s, and 66.6% of the study subjects were women. As for the hair loss symptoms, 45.2%, the largest percentage, had thin and wispy hair and more women had thin hair than men. 80.0% of men had oily hair. As for the scalp condition, 39,3% had oily scalp. As more women experience hair loss, 39.6% had female pattern hair loss and 31.0% had male pattern hair loss. As the largest percentage of people experiencing hair loss was in their 20s, 33.4%, the largest percentage, had the onset of hair loss in their early 20s. 34.1%, the largest percentage, reported having used the clinic for less than 1 month. The older the subject, the longer the length of hair clinic use. As for the average number of monthly hair loss clinic visits, 28.2%, the largest percentage, said 3 times. As for the hair loss management product use, 61.9%, said they do not use it and 38.1% said they use it. 5.6%, the largest percentage, used Davines at home and 9.6%, the largest percentage, used Kerastase at the clinic. As for the experience of hair loss product previously, 84.5% said they had no experience and 15.5% said they had eThe following are related to the satisfaction level of hair loss management. xperience. 5.0%, the largest percentage, reported having used Daenggimeori. The following are related to the satisfaction level of hair loss management. 32.8%, the largest percentage, said the effect of hair loss management lasted less than 6 monthas. As for the satisfaction levels on hair loss management program, service, skill of the hair specialist, hygiene, and hair loss management products, most people indicated between average and somewhat satisfactory levels. As for the satisfaction level on the cost of hair loss management, most people indicated average satisfaction level. As for the element essential to hair loss management, 39.0%, the largest percentage, indicated development of effective and specialized programs, 28.2%, indicated low price, 25.1%, indicated systematic and professional education of the hair specialist, 4.6%, indicated marketing and promotion, 2.5%, indicated service quality, and 0.6% indicated others.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.2
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• pp.237-253
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• 2022

This article offers an account of how regional development policy in Korea has evolved under the influence of actor-networks comprising the cultural circuit of soft capitalism. In so doing, the roles played by transnational actor-networks forged between global consulting firms and national business media are emphasized. For this discussion, the waning of spatial Keynesianism in the country is contextualized in the first place, with particular attention to changing planning goals of key regional development policies including consultancies, influential policy gurus (e.g., Michael Porter and Richard Florida), and local business media outlet Maekyong are found to be key movers and shakers in the transition. These empirical findings call for striking a balance between dominant structuralist accounts and emerging actor-oriented approaches, and also help shed a new light on the dualistic conceptualization of managerialist and entrepreneurial governance in a way that the latter may be a new form of the former.

• Industry Promotion Research
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• v.7 no.2
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• pp.15-29
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• 2022

This study attempted to investigate how corporate ESG practice affects management performance. To this end, the effect of environmental responsibility activities, social responsibility activities, and governance activities in terms of environment (E), social (S), and governance (G), which are the three elements of ESG, on management performance, mediating organizational effectiveness, and controlling corporate value perception, were empirically analyzed. The analysis results are as follows. First, environmental responsibility activities, social responsibility activities, and governance activities all had a positive (+) effect on management performance. Second, environmental responsibility activities, social responsibility activities, and governance activities all had a positive (+) effect on organizational effectiveness. Third, it was found that organizational effectiveness plays a partial mediating role between environmental responsibility activities, social responsibility activities, governance activities, and management performance. Fourth, it was found that corporate value perception has a moderating effect on environmental responsibility activities and governance activities, excluding social responsibility activities. Therefore, strengthening ESG practice will not only be essential for investment, but also help improve management performance. In addition, the results of this study suggest that ESG education for members should be strengthened to promote ESG practice, and it is necessary to re-establish management strategies so that corporate values reflect ESG.

• Korean Journal of Culture and Social Issue
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• v.13 no.1
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• pp.1-41
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• 2007

This study examines factors that influence delinquent behavior among Korean adolescents using longitudinal analysis. A total of 1,012 students completed a questionnaire when they were Grade 6 and 739 students completed a follow-up questionnaire when they became Grade 9. Results of multiple regression analysis indicate that the following variables predicted delinquent behavior of Grade 9 students: Bullying, previous delinquency, experience of punishment, victimization, social efficacy, and moral disengagement. The above six variables have direct and mediating influence of delinquent behavior. Relational factors also influenced delinquent behavior. Social exclusion from friends reduce social efficacy, which increases victimization and which in turn increases bullying, leading to greater delinquency. Parental rejection, social exclusion from friends and hostility from teachers increase moral disengagement, which increases bullying, leading to delinquency. Low academic achievement increases the likelihood of being punished, which increases bullying, leading to delinquency. The results indicate that moral disengagement and social efficacy are mediating factors of delinquency and negative life-events (i.e., social exclusion from friends, rejection from teachers, hostility from parents and low academic achievement) increase the likelihood that Korean adolescents will engage in delinquent behavior. Implications of the results for future research are discussed.

• Korean Journal of Culture and Social Issue
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• v.14 no.1_spc
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• pp.427-468
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• 2008

This article examines the role and influence of educational achievement on Korean society and its future. Four major factors that associated with and influence educational achievement in Korea (i.e., trust, efficacy beliefs, quality of life, and societal transformation) are reviewed. First, the role of educational achievement on establishing a basis for trust in Korean society is examined. By reviewing studies of perception of Korean society, people and institutions, the importance of establishing trust in Korean society is outlined. Second, the role of efficacy belief in promoting educational achievement is examined. The importance of collective efficacy, at the adolescent, adult and political levels is emphasized. In addition, the concept and application of self-efficacy for teachers and parents is reviewed. Third, the role and influence of educational achievement on quality of life is outlined. Studies indicate that educational achievement plays an important role in improving the quality of life. The pressure to achieve, however, can have negative impact on stress and mental health and support systems need to be developed to alleviate their impact. Fourth, the future and prospects for Korean society through educational achievement is discussed. Through education, the importance of bridging the divide with North Korea is an important agenda for the future of Korean society. Finally, the importance of indigenous psychological perspective in understanding Korean society and providing direction for the future is discussed.

• Information Systems Review
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• v.19 no.2
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• pp.1-19
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• 2017

Original scripts of e-learning lectures for the CEOs of corporation S were analyzed using topic analysis, which is a text mining method. Twenty-two topics were extracted based on the keywords chosen from five-year records that ranged from 2011 to 2015. Research analysis was then conducted on various issues. Promising topics were selected through evaluation and element analysis of the members of each topic. In management and economics, members demonstrated high satisfaction and interest toward topics in marketing strategy, human resource management, and communication. Philosophy, history of war, and history demonstrated high interest and satisfaction in the field of humanities, whereas mind health showed high interest and satisfaction in the field of in lifestyle. Studies were also conducted to identify topics on the proportion of content, but these studies failed to increase member satisfaction. In the field of IT, educational content responds sensitively to change of the times, but it may not increase the interest and satisfaction of members. The present study found that content production for CEOs should draw out deep implications for value innovation through technology application instead of simply ending the technical aspect of information delivery. Previous studies classified contents superficially based on the name of content program when analyzing the status of content operation. However, text mining can derive deep content and subject classification based on the contents of unstructured data script. This approach can examine current shortages and necessary fields if the service contents of the themes are displayed by year. This study was based on data obtained from influential e-learning companies in Korea. Obtaining practical results was difficult because data were not acquired from portal sites or social networking service. The content of e-learning trends of CEOs were analyzed. Data analysis was also conducted on the intellectual interests of CEOs in each field.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.113-125
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• 2013

Every company wants to know customer's requirement and makes an effort to meet them. Cause that, communication between customer and company became core competition of business and that important is increasing continuously. There are several strategies to find customer's needs, but VOC (Voice of customer) is one of most powerful communication tools and VOC gathering by several channels as telephone, post, e-mail, website and so on is so meaningful. So, almost company is gathering VOC and operating VOC system. VOC is important not only to business organization but also public organization such as government, education institute, and medical center that should drive up public service quality and customer satisfaction. Accordingly, they make a VOC gathering and analyzing System and then use for making a new product and service, and upgrade. In recent years, innovations in internet and ICT have made diverse channels such as SNS, mobile, website and call-center to collect VOC data. Although a lot of VOC data is collected through diverse channel, the proper utilization is still difficult. It is because the VOC data is made of very emotional contents by voice or text of informal style and the volume of the VOC data are so big. These unstructured big data make a difficult to store and analyze for use by human. So that, the organization need to automatic collecting, storing, classifying and analyzing system for unstructured big VOC data. This study propose an intelligent VOC analyzing system based on opinion mining to classify the unstructured VOC data automatically and determine the polarity as well as the type of VOC. And then, the basis of the VOC opinion analyzing system, called domain-oriented sentiment dictionary is created and corresponding stages are presented in detail. The experiment is conducted with 4,300 VOC data collected from a medical website to measure the effectiveness of the proposed system and utilized them to develop the sensitive data dictionary by determining the special sentiment vocabulary and their polarity value in a medical domain. Through the experiment, it comes out that positive terms such as "칭찬, 친절함, 감사, 무사히, 잘해, 감동, 미소" have high positive opinion value, and negative terms such as "퉁명, 뭡니까, 말하더군요, 무시하는" have strong negative opinion. These terms are in general use and the experiment result seems to be a high probability of opinion polarity. Furthermore, the accuracy of proposed VOC classification model has been compared and the highest classification accuracy of 77.8% is conformed at threshold with -0.50 of opinion classification of VOC. Through the proposed intelligent VOC analyzing system, the real time opinion classification and response priority of VOC can be predicted. Ultimately the positive effectiveness is expected to catch the customer complains at early stage and deal with it quickly with the lower number of staff to operate the VOC system. It can be made available human resource and time of customer service part. Above all, this study is new try to automatic analyzing the unstructured VOC data using opinion mining, and shows that the system could be used as variable to classify the positive or negative polarity of VOC opinion. It is expected to suggest practical framework of the VOC analysis to diverse use and the model can be used as real VOC analyzing system if it is implemented as system. Despite experiment results and expectation, this study has several limits. First of all, the sample data is only collected from a hospital web-site. It means that the sentimental dictionary made by sample data can be lean too much towards on that hospital and web-site. Therefore, next research has to take several channels such as call-center and SNS, and other domain like government, financial company, and education institute.

• Journal of Distribution Science
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• v.9 no.3
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• pp.37-46
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• 2011

Since the Korean retail industry was made accessible to the big conglomerates and foreign retail companies, local traditional markets have faced serious problems. To sustain the local traditional markets' survival, the Korean government established various remedial policies for addressing, and many scholars published articles to suggest how to find solutions to, the problem. Unfortunately, the results have not been satisfactory. The purpose of this study is to find another way to help the Korean traditional retail market, from the view point of the Green Growth Policy, an initiative designed to address environmentally balanced economic growth in Korea. In order to survive and to maintain sustainable growth, it is incumbent upon retailers in the traditional market to understand the concept of the Green Growth Policy. A survey was conducted as a means of testing the degree of awareness of the Green Growth Policy, as well as determining the relationship between the degree of awareness and the degree of organizational commitment by the retailers in the local traditional markets. Interestingly, we were able to detect some of the features (e.g., they were distinguished by the elderly and the young, as well as low level of education and high level of education) in the traditional market retailers' demographic characteristics. We utilized the analysis of variance (ANOVA) statistical method to simultaneously compare the differences in retailers' demographic characteristics; the results were as follows: Overall, the results showed that the awareness of the Green Growth Policy, the degree of trust in the government's policy, levels of self-efficacy, and levels of organizational commitment were higher with the older traditional market retailers than the younger traditional market retailers. Specifically, the degree of trust in government policies (F=9.964,p < .05), levels of self-efficacy (F=5.532,p < .05), and levels of organizational commitment (F=5.697,p < .05) were statistically significant. Moreover, in the portion of the study that addressed the difference between education levels, all the variables were averaged in the higher education category of the traditional market retailers. Specifically, awareness levels of the Green Growth Policy (F=8.564,p < .005) and levels of self-efficacy (F=6.754,p < .005) were statistically significant. These results revealed that the traditional market retailers' demographic characteristics should be considered important factors in order to realize their policy. The results of the study showed the following: 1) The degree of awareness of the government's Green Growth Policy was statistically significant as it related to traditional market retailers' organizational commitment. 2) The degree of trust of the government's policy was significantly moderated between the awareness of the government's Green Growth Policy and the traditional market retailers' organizational commitment. This result demonstrates that the traditional market retailers' awareness of the government's Green Growth Policy will show more organizational commitment with higher levels of trust of the government's policy. 3) It also revealed that traditional market retailers' self-efficacy was fully mediated between the awareness of the Green Growth Policy of the government and traditional market retailers' organizational commitment. The results suggest that the government should show an interest in showing traditional market retailers how to enhance their traditional markets. Implications and future research directions are also discussed.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.177-198
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• 2018

Recently, as economic property it has become necessary to acquire and utilize the framework for water resource measurement and performance management as the property of water resources changes to hold "public property". To date, the evaluation of water technology has been carried out by feasibility study analysis or technology assessment based on net present value (NPV) or benefit-to-cost (B/C) effect, however it is not yet systemized in terms of valuation models to objectively assess an economic value of technology-based business to receive diffusion and feedback of research outcomes. Therefore, K-water (known as a government-supported public company in Korea) company feels the necessity to establish a technology valuation framework suitable for technical characteristics of water resources fields in charge and verify an exemplified case applied to the technology. The K-water evaluation technology applied to this study, as a public interest goods, can be used as a tool to measure the value and achievement contributed to society and to manage them. Therefore, by calculating the value in which the subject technology contributed to the entire society as a public resource, we make use of it as a basis information for the advertising medium of performance on the influence effect of the benefits or the necessity of cost input, and then secure the legitimacy for large-scale R&D cost input in terms of the characteristics of public technology. Hence, K-water company, one of the public corporation in Korea which deals with public goods of 'water resources', will be able to establish a commercialization strategy for business operation and prepare for a basis for the performance calculation of input R&D cost. In this study, K-water has developed a web-based technology valuation model for public interest type water resources based on the technology evaluation system that is suitable for the characteristics of a technology in water resources fields. In particular, by utilizing the evaluation methodology of the Institute of Advanced Industrial Science and Technology (AIST) in Japan to match the expense items to the expense accounts based on the related benefit items, we proposed the so-called 'K-water's proprietary model' which involves the 'cost-benefit' approach and the FCF (Free Cash Flow), and ultimately led to build a pipeline on the K-water research performance management system and then verify the practical case of a technology related to "desalination". We analyze the embedded design logic and evaluation process of web-based valuation system that reflects characteristics of water resources technology, reference information and database(D/B)-associated logic for each model to calculate public interest-based and profit-based technology values in technology integrated management system. We review the hybrid evaluation module that reflects the quantitative index of the qualitative evaluation indices reflecting the unique characteristics of water resources and the visualized user-interface (UI) of the actual web-based evaluation, which both are appended for calculating the business value based on financial data to the existing web-based technology valuation systems in other fields. K-water's technology valuation model is evaluated by distinguishing between public-interest type and profitable-type water technology. First, evaluation modules in profit-type technology valuation model are designed based on 'profitability of technology'. For example, the technology inventory K-water holds has a number of profit-oriented technologies such as water treatment membranes. On the other hand, the public interest-type technology valuation is designed to evaluate the public-interest oriented technology such as the dam, which reflects the characteristics of public benefits and costs. In order to examine the appropriateness of the cost-benefit based public utility valuation model (i.e. K-water specific technology valuation model) presented in this study, we applied to practical cases from calculation of benefit-to-cost analysis on water resource technology with 20 years of lifetime. In future we will additionally conduct verifying the K-water public utility-based valuation model by each business model which reflects various business environmental characteristics.