• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.192-207
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• 2023

Commercialization of level-4 (Lv.4) autonomous driving applications requires the definition of a safe road environment under which autonomous vehicles can operate safely. Thus, a risk assessment model is required to determine whether the operation of autonomous vehicles can provide safety to is sufficiently prepared for future real-life traffic problems. Although the risk factors of autonomous vehicles were selected and graded, the decision-making method was applied as qualitative data using a survey of experts in the field of autonomous driving due to the cause of the accident and difficulty in obtaining autonomous driving data. The fuzzy linguistic representation of decision-makers and the fuzzy analytic hierarchy process (AHP), which converts uncertainty into quantitative figures, were implemented to compensate for the AHP shortcomings of the multi-standard decision-making technique. Through the process of deriving the weights of the upper and lower attributes, the road alignment, which is a physical infrastructure, was analyzed as the most important risk factor in the operation risk of autonomous vehicles. In addition, the operation risk of autonomous vehicles was derived through the example of the risk of operating autonomous vehicles for the 5 areas to be evaluated.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.4
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• pp.279-288
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• 2016

This study compares interagency linkage in the area of the elementary child care policy in korea and japan and derives the implications related to the elementary child care classes of korea. This study researches linkage method between the ministries in korea and japan focused on the background, the process, the current operating system. The elementary child care service policies of the korea & japan are analysed comparatively in terms of background, budget, goal, linkage ministries, basis of law, administrative units and on the basis of those analyses, the implications related to the elementary child care service policy of korea are derived. The derived implications are as follows : first the sound development of the child becomes the foundation of the development of school and community. Community and school have to strengthen cooperation. Second, child care policy is not the alternatives for overcoming fragmentary problems but has to be carried out considering them variously in broad prospective. Third, korea has to find the effective linkage method between the ministries. Fourth, find the way which interagency policy can be merged as a hub for school. Fifth, korea has to find the way transferring the central operating body from the principal in school to the local government to operate the elementary child care classes successfully. Sixth, positive interest and continuous support of the top policy makers is needed.

• Korea Trade Review
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• v.43 no.6
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• pp.51-70
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• 2018

This study is to define the relationship between capital structure and the market share in the global shipping market, estimating the debt-equity ratio. To analyze the impact of the debt-equity ratio on market share, this study collected data from the 100 largest shipping companies from 2010 to 2017. Results identified that global shipping lines moderate their debt-equity rates to 62%, and all of them strategically utilize debt in order to increase market share in global shipping market. In comparison between the group focused on cargo volume and another group focused on freight rates, it is found that the group focused on cargo volume increase their handling cargo volume through increasing the debt rates. Another group used debt rate for reducing the freight rate and enhancing market power. Furthermore, after classifying the samples into high-growth and low-growth companies, this study compared the group focused on cargo volume and another group focused on freight rates. As a result, the low-growth group showed more significant impacts of the debt rate on market share than the high-growth group. The results of this study provide useful insight for future strategic decision making of shipping lines in the global shipping market.

• Journal of Venture Innovation
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• v.6 no.3
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• pp.185-202
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• 2023

The COVID-19 pandemic catalyzed major changes in our work environment, underscoring the critical role of workplace flexibility. While a wealth of research exists on specific flexible work strategies and schedules, a broader understanding of workplace flexibility has been somewhat overlooked. This study aimed to bridge this gap by examining the correlation between workplace flexibility and organizational commitment. Our sample consisted of 300 employees from foreign businesses in the ICT(information and communications technology) service sector and the manufacturing industry, along with those from the top 50 leading Korean enterprises. We bifurcated workplace flexibility into two distinct categories for this study: quantitative and qualitative. Our results revealed that within the quantitative category, the flexibility of continuity of work and flexible place significantly enhanced organizational commitment. Interestingly, the flexibility of work schedules didn't have a marked impact on commitment levels. On the qualitative side, job autonomy and teamwork emerged as significant drivers of organizational commitment. It's worth noting that qualitative aspects of workplace flexibility had a more pronounced effect on organizational commitment than the quantitative elements. These findings highlight the necessity of approaching workplace flexibility from a comprehensive perspective, embracing both its quantitative and qualitative dimensions. For businesses aiming to maximize the benefits of flexibility, it's essential to cultivate a culture of open communication, champion collaboration, and prioritize job autonomy and teamwork. Establishing a work environment that actively supports feedback-oriented communication stands as a key component in this endeavor.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.1-15
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• 2023

Impact investment involves investing in companies that pursue both social value and financial returns. It focuses on addressing various social problems through innovative solutions while generating profits. The domestic impact investment ecosystem has experienced significant growth with the support of the government and public institutions. In 2021, it witnessed a 3.5-fold increase over three years, reaching a total of 700 billion won in operating assets. In order to foster qualitative growth alongside this quantitative expansion, it is crucial to conduct research specifically on impact investment, which sets it apart from conventional venture investment. This study aims to empirically analyze the unique factors that influence impact investment decisions. Firstly, the factors affecting investment decisions were identified through a literature analysis. Then, a consultation and Delphi survey involving 11 representatives and evaluators from impact investment companies was conducted to determine the major investment determinants. Subsequently, an AHP (Analytic Hierarchy Process) survey was carried out with 10 impact investment evaluators to ascertain the relative importance of these factors. The analysis revealed the following order of importance for the top factors: market>entrepreneur(team)>product/service>finance. Furthermore, the importance of specific factors was identified in the following order: market competition and entry barriers>new market creation>market growth and potential expansion>team expertise and capabilities. Unlike previous studies that primarily focus on general startup investment factors, this research demonstrates that impact investment places greater emphasis on market-related factors and considers the sustainability and profitability of the business model to be more important than the social impact of social ventures.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.1-13
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• 2022

This study derived the success factors of youth enterprises by applying the Delphi Method to start-up experts. Through this, it aims to improve understanding of youth enterprises in entrepreneurship education and start-up support projects and contribute to the development of education and support programs suitable for youth enterprises. Also The purpose of this study is to help youth entrepreneurs solve their curiosity about the success factors of youth enterprises, identify the factors that youth entrepreneurs should first secure or perform among the factors they need to consider during start-ups, and use limited resources efficiently and effectively to succeed. In this study, the Delphi Survey was conducted twice in total. The first Delphi Survey utilized the Modified Delphi Method using structured closed-ended questions, and a pilot test was conducted on youth entrepreneurs and start-up experts to compensate for the problem of the Modified Delphi Method. In the first Delphi Survey, IBM SPSS Statistics 22 and Microsoft Office Excel 2016 were used to calculate the mean, standard deviation, median, interquartile range, and content validity ratio. In the Delphi 2nd survey, the same statistical values in the 1st survey and additionally cronbach's alpha were calculated. As a result of the Delphi Survey, four factors, such as the entrepreneurial characteristics, entrepreneurial preparation, entrepreneurial strategy, and entrepreneurial environment, and 22 sub-factors were derived as success factors for youth enterprises.

• Journal of The Korean Association For Science Education
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• v.27 no.1
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• pp.37-49
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• 2007

The purpose of this study was to classify the logical forms of scientific explanations provided by teachers in secondary earth science classrooms, to examine the characteristics of the scientific explanations in different forms, and to identify the roles of the teacher and students in discursive practices for scientific explanations. Data came from the earth science teachers who participated in overseas teacher in-service programs in the years 2003 and 2004. A total of 18 video-taped lessons and their verbatim transcriptions were analyzed. The result showed that deductive-nomological explanations occurred most frequently in earth science classrooms and that the deductive-nomological model was well-suited to those problems for which there existed firmly established scientific laws or principles to construct scientific explanations. However, abductive explanations were presented when the classes dealt with retrodictive tasks of earth science. The statistical-probabilistic and statistical-relevance models were also employed in explaining weather proverbs and unusual changes of weather, respectively. Most of the scientific explanations were completed through the teachers' monologic utterances, and students assumed passive roles in discursive practices for developing scientific explanations. Implications for science lessons and science education research were discussed.

• Journal of The Korean Association For Science Education
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• v.27 no.5
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• pp.394-403
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• 2007

In this study, the effects of reciprocal peer questioning (RPQ) strategy upon students' concept learning were investigated. Ninety-two seventh graders at a co-ed middle school were assigned to control, reciprocal peer tutoring (RPT), and RPQ groups. The students were taught about 'three states of matter' and 'motion of molecules' for 12 class hours. Regardless of students' prior science achievement level, the RPQ group showed the highest scores among the three groups in the test of conceptual understanding, and the RPT group performed better than the control group. For high-level students, the scores of the RPQ group were significantly higher than those of the other groups in the test of the concept application, and those of the RPT group were higher than those of the control group. For low-level students, the scores of the RPT and RPQ groups in the concept application test were significantly higher than those of the control group, while those of the RPT and RPQ groups were not significantly different. These results indicated that verbal interaction by reciprocal tutoring helped students to understand chemical concept learning, and that using self-generated questions was more effective. Therefore, RPQ strategy is suggested to become one of the useful instructional methods to facilitate verbal interaction and concept learning in middle school science instructions.

• Journal of The Korean Association For Science Education
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• v.29 no.4
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• pp.359-372
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• 2009

The purpose of this study was to develop the FPHER (problem finding, prediction & discussion, hands-on & experiment, explanation & arrangement, enrichment) instructional model emphasizing the social interactions, and as applied, characteristics of verbal interactions were examined overall and with each step. For this study, this model was applied to the students in 10th grade chemistry classes in a science high school, and their group verbal interactions were recorded and analyzed. The results of this study show that most verbal interactions were classified as on-task interactions in the FPHER instructional model, where suggestions were predominant to the acceptance of opinions. There were a few interactions in the F step, and there were many suggestions relating to the solutions and lacking in confidence in the P step. There were many suggestions relating to the process and orders in the H step. Also, there were many questions, some explanation and dissatisfaction, as well as a lack of confidence in the E step. There were many high-level interactions in the R step, and mainly interactions with worksheets showing high-level problem-solving abilities. More in-depth research is needed to develop the teaching strategies that can activate student-to-student interaction and student-teacher interaction with regard to instructions, enhancing thought as counter-argument, justification or sophistication, based on the instructional model in this study.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.