• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.169-179
• /
• 2023

The purpose of this study is to suggest the direction of secondary school career education in a lifelong learning society. In that direction, first, it is necessary to strengthen teacher capacity and develop professionalism. Second, career education programs need to be improved and diversified. Third, it is necessary to strengthen collaboration and communication with career education experts as a way to strengthen cooperation and connection outside the school. Fourth, it is necessary to support online career education through improvement of career information network. Fifth, there are policy support and institutional improvement plans. Sixth, it is necessary to expand the subject of career education to the entire life. To this end, career education in secondary school is designed to flexibly cope with changes, overcome crises and turn them into opportunities, and provide experiences to solve problems. Comprehensive support for individually customized career education from a lifelong perspective that manages the degree is needed. Second, it is necessary to expand field-oriented career and job experience to provide sufficient job-related experience and support mentoring by field experts. Third, it is necessary to establish a career education network where schools, education offices, and local communities work together. Fourth, retraining of career counseling teachers is also necessary to support the strengthening of career education capacity of all teachers.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.18 no.2
• /
• pp.141-156
• /
• 2023

The advancement of Information and Communication Technology (ICT), along with the expansion of government and private investment in startup discovery and funding, has led to the emergence of startups seeking to generate outstanding results based on innovative ideas. As successful startups serve as role models, the number of aspiring entrepreneurs preparing to launch their own startups continues to increase. However, unlike entrepreneurs who challenge themselves with serial entrepreneurship after experiencing success, early-stage startups face various challenges such as team building, technology development, and fundraising. Accelerators play a dual role of mentor and investor by providing education, mentoring, consulting, network connection, and initial investment activities to help startups overcome various challenges they face and facilitate their growth. This study investigated whether there is a correlation between the characteristics of startups and their entrepreneurial performance, and analyzed whether accelerators mediate the relationship between startup characteristics and entrepreneurial performance. A total of 11 hypotheses were proposed, and a survey was conducted on 302 startup founders and employees located across the country, including the metropolitan area, for empirical research. SPSS 23.0 and Amos 23.0 were used for statistical analysis. Through this study, it was found that factors such as innovation, organizational culture, financial characteristics, and learning orientation among the characteristics of startups, rather than having a direct impact on entrepreneurial performance, are linked to entrepreneurial performance through the role of accelerators. By analyzing the impact factors of startup characteristics on entrepreneurial performance, this study presents research on the role of accelerators and provides institutional improvements. It is expected to contribute to the expansion of investment and differentiated acceleration programs, enabling startups to seize the market and grow stably in the market.

• Journal of Korean Society of Archives and Records Management
• /
• v.24 no.2
• /
• pp.41-63
• /
• 2024

This study investigated research trends in digital curation indexed in a prominent domestic academic information database. A systematic literature review was conducted on 39 academic papers published from 2009 to 2023. The review examined indexing status according to publication year, venue, academic discipline, research area distribution, research affiliation and occupation, and research types. In addition, network centrality analysis and cohesive group analysis were performed on 69 author keywords. The findings revealed several key points. First, digital curation research peaked in 2015 and 2016 with 5 publications each year, followed by a slight decrease, and then consistently produced 4 or more publications annually since 2019. Second, among the 39 studies, 25 were conducted in interdisciplinary fields, including library and information science, while 11 were in the humanities, such as miscellaneous humanities. The most prominent research areas were theoretical and infrastructural aspects, information management and services, and institutional domains. Third, digital curation research was predominantly led by university-affiliated professors and researchers, with collaborative research more prevalent than solo research. Lastly, analysis of author keywords revealed that "digital curation," "institution," and "content" were the most influential central keywords within the overall network.

• Journal of Intelligence and Information Systems
• /
• v.28 no.2
• /
• pp.237-262
• /
• 2022

There has been a growing interest in IPOs (Initial Public Offerings) due to the profitable returns that IPO stocks can offer to investors. However, IPOs can be speculative investments that may involve substantial risk as well because shares tend to be volatile, and the supply of IPO shares is often highly limited. Therefore, it is crucially important that IPO investors are well informed of the issuing firms and the market before deciding whether to invest or not. Unlike institutional investors, individual investors are at a disadvantage since there are few opportunities for individuals to obtain information on the IPOs. In this regard, the purpose of this study is to provide individual investors with the information they may consider when making an IPO investment decision. This study presents a model that uses machine learning and text analysis to predict whether an IPO stock price would move up or down after the first 5 trading days. Our sample includes 691 Korean IPOs from June 2009 to December 2020. The input variables for the prediction are three tone variables created from IPO prospectuses and quantitative variables that are either firm-specific, issue-specific, or market-specific. The three prospectus tone variables indicate the percentage of positive, neutral, and negative sentences in a prospectus, respectively. We considered only the sentences in the Risk Factors section of a prospectus for the tone analysis in this study. All sentences were classified into 'positive', 'neutral', and 'negative' via text analysis using TF-IDF (Term Frequency - Inverse Document Frequency). Measuring the tone of each sentence was conducted by machine learning instead of a lexicon-based approach due to the lack of sentiment dictionaries suitable for Korean text analysis in the context of finance. For this reason, the training set was created by randomly selecting 10% of the sentences from each prospectus, and the sentence classification task on the training set was performed after reading each sentence in person. Then, based on the training set, a Support Vector Machine model was utilized to predict the tone of sentences in the test set. Finally, the machine learning model calculated the percentages of positive, neutral, and negative sentences in each prospectus. To predict the price movement of an IPO stock, four different machine learning techniques were applied: Logistic Regression, Random Forest, Support Vector Machine, and Artificial Neural Network. According to the results, models that use quantitative variables using technical analysis and prospectus tone variables together show higher accuracy than models that use only quantitative variables. More specifically, the prediction accuracy was improved by 1.45% points in the Random Forest model, 4.34% points in the Artificial Neural Network model, and 5.07% points in the Support Vector Machine model. After testing the performance of these machine learning techniques, the Artificial Neural Network model using both quantitative variables and prospectus tone variables was the model with the highest prediction accuracy rate, which was 61.59%. The results indicate that the tone of a prospectus is a significant factor in predicting the price movement of an IPO stock. In addition, the McNemar test was used to verify the statistically significant difference between the models. The model using only quantitative variables and the model using both the quantitative variables and the prospectus tone variables were compared, and it was confirmed that the predictive performance improved significantly at a 1% significance level.

• Journal of Distribution Research
• /
• v.15 no.5
• /
• pp.155-174
• /
• 2010

In many cases, street vendors are means of living and/or a solution to unemployment for low income group. Street vendors have both of positive and negative effects on traditional market revitalization. This two-sided perspective of the vendors has produced different views of interests groups. In this study, the features of street vendors are examined to present related issues, and a survey result conducted on interests groups is presented to offer effective management measures. As traditional management about street vendors are focused on crackdown, relationship between street traders and government has been not very much mutually cooperative, and at times some traders organized groups who are against government policies. With the premise admitting street vendors as one element of distribution network, it is possible to access the management measures for street vendors in organizational, quantitative or qualitative perspectives. However, I believe it is not recommendable to enforce multi-perspective approach at a time. It is because street traders still have quite strong animosity against government policies. Therefore, serious misunderstanding and side-effects on our society could be brought if the government makes hasty and forcible attempts to legalize street vendors. In political position, overreaching actions of government could hardly produce positive results because policy making and its enforcement need each of timeliness. In a similar way, government's policies for street vendors need to come into effect gradually. Management measures for street vendors can come in short-, mid- and long-term. In short-term, government should try to reduce animosity of street traders along with minimizing institutional and political pressure on them. As a mid-term solution, plans to bring vendors over to institutional boundaries by improving them are required. Last but not least, in the long term, government should design policies which are to help street vendors settle down and maintain successfully in the boundaries. Besides, policies related to street vendors need to come in effect in a way that closely connected to interests groups and businesses because those policies would get involve many interests groups and businesses in diverse perspectives.

• International Area Studies Review
• /
• v.22 no.2
• /
• pp.163-186
• /
• 2018

The purpose of this study is to analyze the institutional conditions and problems for the transition to the North Korean economic system. As a research method, we first analyzed the legislative processes of 4th stage market reform policies (liberalization, privatization, privatization, and corporation) by major economic transition countries. And we found out the difference with North Korea. Based on this, it analyzed the process of institutionalization of North Korea's 4th stage economic reform policies (7.1 measures, comprehensive market policies, Currency reform, 6.28 policy). According to research, There are three important conditions that can not compare the changes of the North Korean market economy with those of the transition economies. First, the internal and external conditions and environment for the transition of the economic system and the role of the state and civil society are very different. Second, the means and objectives of the policy decision process and the implementation process are different. Third, it differs absolutely in terms of the nature and effectiveness of the nation's political and economic policies. Fourth, the priority, contents, and legislation process of economic policies for economic reform differ considerably from those of North Korea. Especially, when discussing the possibility of transition to the 'Chinese model', it is accompanied a considerable risk. It is because the purpose of market entry of control power in North Korea and their survival network are quite unique. In addition, China's domestic market size, population size, and type of control are quite different from North Korea. A necessary and sufficient condition for the transition of the North Korean economic system is the relaxation of physical control mechanisms and institutions in the market area. Next, it is necessary to make a legitimate institutionalization as well as an entire survey on the illegal ownership market. Based on this, it is necessary to gradually change the dependence of the domestic market on China to South Korea. In other words, this is a paradigm shift in the semi-controlled power exclusion, post-automation and domestic market.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.40 no.6
• /
• pp.13-22
• /
• 2012

This study was conducted to establish ecotourism as an introduction to sustainability and international cooperation. As a plan to retain the original meaning of ecotourism, the introduction of a program to certify/designateecotourism is being vitalized in many countries around the world. In Korea as well, an agenda to the introduction of an "Ecotourism Designation System,"which aims to ensure the quality of ecotourism at a certain level, was submitted by the Ministry of Environment to the National Assembly in June 2011, and the promotion for a demonstration program is planned this year to introduce the system. Japan has been carrying out the certification systems Good Eco-tour, which certifies the sustainability of ecotourism providers and accommodations since 2006, respectively, and has been securing the sustainability of ecotourism by enactment in 2008, as the world's first law to promote ecotourism. And the second general conference of the first Global Partnership for Sustainable Tourism(GPST) was held in Korea in March 2012, particularly, there was an agreement that the promotion of Asia and the Pacific Area Network for sustainable tourism would center around Korea, and accordingly, it is expected that Korea's status as a core country for ecotourism in the Asia-Pacific Area will increase. While the demand for an approach to natural resources is rapidly increasing, we should be active in providing an institutional strategy such as a designation system to secure the sustainability of ecotourism and seeking a plan for cooperation and network vitalization in the Asia-Pacific Area where similar natural resources and cultures are shared.

• Journal of Cadastre & Land InformatiX
• /
• v.48 no.2
• /
• pp.79-98
• /
• 2018

The purpose of this study is to suggest a model analysing spatio-temporal characteristics of the civil complaints for the officially assessed land price based on big data mining. Specifically, in this study, the underlying reasons for the civil complaints were found from the spatio-temporal perspectives, rather than the institutional factors, and a model was suggested monitoring a trend of the occurrence of such complaints. The official documents of 6,481 civil complaints for the officially assessed land price in the district of Jung-gu of Incheon Metropolitan City over the period from 2006 to 2015 along with their temporal and spatial poperties were collected and used for the analysis. Frequencies of major key words were examined by using a text mining method. Correlations among mafor key words were studied through the social network analysis. By calculating term frequency(TF) and term frequency-inverse document frequency(TF-IDF), which correspond to the weighted value of key words, I identified the major key words for the occurrence of the civil complaint for the officially assessed land price. Then the spatio-temporal characteristics of the civil complaints were examined by analysing hot spot based on the statistics of Getis-Ord $Gi^*$. It was found that the characteristic of civil complaints for the officially assessed land price were changing, forming a cluster that is linked spatio-temporally. Using text mining and social network analysis method, we could find out that the occurrence reason of civil complaints for the officially assessed land price could be identified quantitatively based on natural language. TF and TF-IDF, the weighted averages of key words, can be used as main explanatory variables to analyze spatio-temporal characteristics of civil complaints for the officially assessed land price since these statistics are different over time across different regions.

• Quality Improvement in Health Care
• /
• v.12 no.2
• /
• pp.113-123
• /
• 2006

Objective : This research is focused on understanding the current status of the Health Smart Card already in use in other advanced countries. This research will analyze the current status of the medical institutions Health Smart Card system adoption process and its effects, and provide a basis for future policy decisions for the effective adoption and diffusion of a Health Smart Card system, in the medical field, through the completed research and analysis. Method : This research surveys the domestic, and foreign, status of Health Smart Card usage. The research also presents up-to-date methodology for the evaluation of the effects of medical and health care technology. The research also conducts a survey of the domestic medical institutions that have implemented a Health Smart Card system, and then analyzes the results of the survey. Additionally, the research carried out a survey and analysis of medical institutions with no Health Smart Card system implemented, and considered the factors affecting the diffusion of Health Smart Card systems in considering an effective policy for the introduction and diffusion of such a system. Research Results : Through the study of the methodology of medical and health care information technology in advanced countries, the methodology for assessing Health Smart Card technology has been established, and focuses on 6 aspects. The study on the status of foreign implementation has shown a model for the Health Smart Card system. A survey was conducted on the current status of medical institutions with an implemented Health Smart Card system, and the survey results have been analyzed. Also, factors influencing the adoption of Health Smart Card systems have been analyzed through the survey on those medical institutions that have not implemented a Health Smart Card system. Conclusion : The government must provide institutional measures for sharing medical records by constructing an IT infrastructure at the national level to enable the adoption and diffusion of a Health Smart Card system. Such a network will make connections between medical institutions possible, thus making the diffusion of the Health Smart Card system nationwide. For the successful adoption and diffusion of a Health Smart Card system, a model system development, under a medical record sharing system, should be conducted. Additionally, a regional unit based model should be developed for the model project, as is done in advanced countries, along with the application of such results.

• Korean Journal of Construction Engineering and Management
• /
• v.21 no.6
• /
• pp.113-124
• /
• 2020

Social movements to improve the performance of buildings through remodeling of aging apartment houses are being captured. To this end, the remodeling construction cost analysis, structural analysis, and political institutional review have been conducted to suggest ways to activate the remodeling. However, although the method of analyzing construction cost for remodeling apartment houses is currently being proposed for research purposes, there are limitations in practical application possibilities. Specifically, In order to be used practically, it is applicable to cases that have already been completed or in progress, but cases that will occur in the future are also used for construction cost analysis, so the sustainability of the analysis method is lacking. For the purpose of this, we would like to suggest an automated estimating method. For the sustainability of construction cost estimates, Deep-Learning was introduced in the estimating procedure. Specifically, a method for automatically finding the relationship between design elements, work types, and cost increase factors that can occur in apartment remodeling was presented. In addition, Monte Carlo Simulation was included in the estimation procedure to compensate for the lack of uncertainty, which is the inherent limitation of the Deep Learning-based estimation. In order to present higher accuracy as cases are accumulated, a method of calculating higher accuracy by comparing the estimate result with the existing accumulated data was also suggested. In order to validate the sustainability of the automated estimates proposed in this study, 13 cases of learning procedures and an additional 2 cases of cumulative procedures were performed. As a result, a new construction cost estimating procedure was automatically presented that reflects the characteristics of the two additional projects. In this study, the method of estimate estimate was used using 15 cases, If the cases are accumulated and reflected, the effect of this study is expected to increase.