• Journal of Science Education
• /
• v.43 no.1
• /
• pp.43-63
• /
• 2019

The types of inquiry activities included in Life Science II textbooks under the 2015 revised science curriculum were extracted and compared with those of six major and five different publishing companies. The fact that the number of investigation discussions and presentations (IP) increased and the expressions (EX) were included in each unit was interpreted as sufficient to transform the classroom instruction in the 2015 revised science curriculum into student-centered activities. The type of inquiry activities in student-centered activities such as experiment observation, simulation activities, investigation discussions, and presentations accounted for about 41% more than the 27% of 2009 revised science curriculum. However, since data interpretation type is still the largest, it is necessary to reduce the types of data interpretation and to increase the number of types of simulation activities and expressions in order to expand students' creativity and thinking ability when textbook development is needed in the future. In addition to the development of biotechnology, teachers need to reconstruct diverse science materials for each textbook and then use them for students to induce balanced thinking, and try to expand expressive power, creativity, logic, and critical thinking skills.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.7
• /
• pp.363-371
• /
• 2019

The purpose of this research is to provide data for the relations between lifestyle, stress and hypertension in a group of construction Temporary employee. The methods taken in this study was to survey the general characteristics and stress in the group, and figure out the relations between lifestyle and hypertension. This study targeted at 301 Temporary employee. in Young-dong for six months (2014~2015). Data analysis used errors and percentages, chi-square tests, one-way ANOVA analysis, independent sample t-test, chi-square test and multivariate logistic regression. The study shows that no relations between age and hypertension, but according to job characteristics, aggravate lifestyle just like smoking(P=0.049), eating habit(P=0.012), physical(p=0.022) & psychological(p=0.011) state there is an effect on hypertension. Based on the results of this study, it is found that temporary workers in small and medium-sized construction companies with high work-related disaster rates need to improve their living habits and physical psychological conditions and manage high blood pressure, as well as research and management of chronic diseases such as obesity, diabetes and dyslipidemia.

• The Journal of the Korea Contents Association
• /
• v.21 no.10
• /
• pp.457-475
• /
• 2021

As Korean society enters an aged society, there is an increasing situation in which various generations coexist in the workplace. This study aimed to analyze corporate reverse mentoring in light of generational exchange. Through the case study methods using literature research and interviews, we categorized the objectives of starting reverse mentoring programs in domestic and foreign companies, and analyzed the possibility of generational exchange with the cases of company A in the US and B in Korea extracted by purposive sampling. Based on social exchange theory, organizational age theory, and generational solidarity theory, the analysis framework presented three propositions: 1) mutual benefit 2) balanced contribution, and 3) sustainability. As a result of the case analyses, there were three main objectives of introducing reverse mentoring: learning IT/social media, promoting corporate diversity, and understanding new trends in the younger generation. In the case of A company in the US and B company in Korea, there was a similarity in mutual benefit and balanced contribution. However, regarding sustainability, there was room for improvement in company B in Korea unlike company A in the US. We expect that reverse mentoring will provide important criteria for success in terms of generational exchange within organizations where various generations coexist in the future.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.4
• /
• pp.93-103
• /
• 2021

Despite the efforts of financial authorities in conducting the direct management and supervision of collection agents and bond-collecting guideline, the illegal and unfair collection of debts still exist. To effectively prevent such illegal and unfair debt collection activities, we need a method for strengthening the monitoring of illegal collection activities even with little manpower using technologies such as unstructured data machine learning. In this study, we propose a classification model for illegal debt collection that combine machine learning such as Support Vector Machine (SVM) with a rule-based technique that obtains the collection transcript of loan companies and converts them into text data to identify illegal activities. Moreover, the study also compares how accurate identification was made in accordance with the machine learning algorithm. The study shows that a case of using the combination of the rule-based illegal rules and machine learning for classification has higher accuracy than the classification model of the previous study that applied only machine learning. This study is the first attempt to classify illegalities by combining rule-based illegal detection rules with machine learning. If further research will be conducted to improve the model's completeness, it will greatly contribute in preventing consumer damage from illegal debt collection activities.

• The Journal of the Korea Contents Association
• /
• v.21 no.10
• /
• pp.48-58
• /
• 2021

For securing technology and business competences of companies that is the engine of domestic industrial growth, government-supported policy programs for the creation of commercialization results in various forms such as 『Technology Transaction Market Vitalization』 and 『Technology Finance-based R&D Commercialization Support』 have been carried out since 2014. So far, various studies on technology valuation theories and evaluation variables have been formalized by experts from various fields, and have been utilized in the field of technology commercialization. However, Their practicality has been questioned due to the existing constraint that valuation results are assessed lower than the expectation in the evaluation sector. Even considering that the evaluation results may differ depending on factors such as the corporate situation and investment environment, it is necessary to establish a reference infrastructure to secure the objectivity and reliability of the technology valuation results. In this study, we investigate the evaluation infrastructure built by each institution and examine whether the latest artificial neural networks and deep learning technologies are applicable for performing predictive simulation of technology values based on principal variables, and predicting sales estimates and qualitative evaluation scores in order to embed onto the technology valuation system.

• Journal of Digital Convergence
• /
• v.17 no.11
• /
• pp.171-181
• /
• 2019

In order to confirm whether innovation can be realized through the direction that companies pursue, this study empirically analyzed the relationship between strategic directionality and innovation capacity. Specifically, strategic directionality is divided into customer orientation and technology orientation, and innovation capacity is classified into strategic planning capacity, R&D capacity, and technology commercialization capacity based on previous studies. And the effect of customer and technology orientation on each innovation capacity was analyzed. Data collection was carried out by 368 questionnaires from the workers of manufacturing industry in Gyeongbuk area and the proposed hypotheses were tested by using structural equation. As a result, it was confirmed that technology orientation had significant effects on all three innovation capacities. However, the effect of customer orientation on strategic planning capacity and technical commercialization capacity was accepted, but the relationship with R&D capacity was rejected. These results can provide implications for how to draw innovation from the organizational strategic direction and culture perspectives by explaining the impact of organizational orientation on innovation capacity.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.5
• /
• pp.25-32
• /
• 2019

The purpose of this study is to investigate how to make a proper investment in ICO in the market. Previously, companies used to borrow money from banks or to obtain investments from venture capital (VC) and angel investors, but now ICOs are used as a new type of funding and financing model. The ICO sells the tokens or coins created on the blockchain openly online to raise the necessary funds, and provides the market value by paying the tokens or coins as much as the investment amount. According to this study, the limitations of the ICO market are (1) difficulties in evaluating the company, (2) uncertainties in investments, (3) lack of legal safeguards, and (4) measures to secure corporate stability after recruitment. At present, there is no way to cope with this systematically since the ICO is not protected in the legal framework. Nevertheless, we investigated the ways to make proper investment in the existing ICO market. In investing in ICO, investors should (1) consider investment methods and profitability, and (2) verify and judge investment fraud through various channels (ex. Homepage, composition team profile, etc.) and make investments based on this. This study will contribute to the formation of a healthy ICO market by understanding the newly emerged ICO market and studying the considerations when investing in it, thereby contributing to the right investor training and reducing the mass production of consumer damages caused by fraud. The limitation of this study is that the domestic ICO has not yet been examined in the legal framework, so further research is needed when policy changes occur in the future.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.1
• /
• pp.275-284
• /
• 2021

Survival analysis was used to analyze whether there is a difference in the effect of leverage on corporate failure according to the firm size. A total of 25,250 (year-company) companies listed on the Korea Stock Exchange and KOSDAQ market from 1999 to 2019 were analyzed. First, the increase in leverage generally acts as a factor that increases the possibility of corporate failure. On the other hand, the increase in the trade payable ratio lowered the possibility of failure of the company. The increase in corporate trade payable was perceived as a factor in reducing the possibility of corporate failure because it was considered the active development of business activities or active use of interest-free debt rather than leading to an increase in corporate risk. Second, a higher leverage ratio and trade payable ratio in large firms lowered the possibility of corporate failure. In the SMEs, all types of leverage increases are a factor that increases corporate failure. Overall, the effect of leverage on corporate failure differs according to the size of the company.

• Journal of Digital Convergence
• /
• v.19 no.2
• /
• pp.93-103
• /
• 2021

S&OP(Sales and Operations Planning) is an ongoing process of periodic planning, reviewing, and evaluation through the involvement of all key stakeholders. Within this process, performance is regularly reviewed and early warning signals are generated, so that the company can react quickly to changing market and operational environment. This paper presents a framework for effective S&OP for fair alignment, accountability, teamwork, visibility, and risk management. This framework focuses on supply chain information governance, level of information sharing through S&OP, role of S&OP as coordination mechanism, APS effectivesness as a planning tool and SCM performance. In addition, a brief case study on the operating characteristics of S&OP at three Korean firms is presented. Implications of the study finding are also provided. It will also make companies that are considering the introduction of S&OP aware of the importance of S&OP, which will provide practical guidelines for the introduction of S&OP.

• Journal of Navigation and Port Research
• /
• v.44 no.6
• /
• pp.541-549
• /
• 2020

This study conducts differential analysis on the financial positions of Korean shipping companies before and after the bankruptcy of the H carrier, looking specifically at their financial ratios, profit and loss patterns, and other factors related to their financial operation. Firstly, it was discovered that major measures of financial health, such as average assets per carrier, were not affected by the bankruptcy of the H carrier. However, despite this, most carriers experienced large changes in profits and losses, with total sales and shipping revenues averaging 424.5 billion won and 381.7 billion won respectively before the bankruptcy, but falling by half to 252.1 billion won and 234.6 billion won after the bankruptcy. Additionally, charter revenues and expenses also dropped by more than half. EBIT/sales and pre-tax revenue margins were also heavily affected after the bankruptcy, with both figures averaging 8% and 3% respectively before the bankruptcy, but falling into the negative range at -2% and -8% post-bankruptcy, resulting in significant deterioration in operational profitability. The study concludes that there is an urgent need to establish a global sales network, improve cost structures, and consistently secure stable cargo in order to increase Korean carriers' profitability. Of all financial measures, liquidity and total asset efficiency were identified as the most severely-impacted by the H carrier bankruptcy, thereby requiring the most pressing policy addressing.