• Journal of Venture Innovation
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• v.5 no.2
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• pp.101-110
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• 2022

It is easy for first movers of platform business model to monopolize the market due to the platform's own characteristics such as network effect and flywheel strategy. Accordingly, the regulations on platform operators are constantly being discussed in the recent monopoly regulation arguments, but the concrete regulations have not been settled worldwide. This is because there is no clear consensus on the valuation method which can objectively identify dominant platform firms from the others. This study suggested a platform valuation method based on the Tobin's Q theory, by measuring the moderating effect of the existence of specific scale of platform on the relationship between replacement cost and market valuation. Our method can not only be a standard for settling monopoly regulation by converging the regulation targets, but also contribute to active investment on the new platform firms by evaluating their potential growths quantitatively.

• Journal of Food Hygiene and Safety
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• v.38 no.5
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• pp.347-355
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• 2023

In this study, polymerase chain reaction (PCR) and loop-mediated isothermal amplification (LAMP) were compared in terms of their ability to detect shiga-toxin-producing Escherichia coli (STEC). Various foods were artificially inoculated with STEC to evaluate the limit of detection (LOD), limit of quantification (LOQ), sensitivity, specificity, and efficiency of PCR and LAMP. The LODs were ≤10⁴ and ≤10³ CFU/mL for PCR and LAMP, respectively. The LOQs did not differ between PCR and LAMP. However, of the four considered food types, the sensitivities differed by a maximum of 11.1% for seasoned meat and by a minimum of 8.1% for ground beef. LAMP had higher sensitivity than that of PCR and 100% specificity for all four food types. Therefore, LAMP is a reliable molecular method for detecting STEC as comparable to PCR assay, and its specificity and sensitivity are superior to those of PCR, depending on the food type.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.199-207
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• 2024

In this paper, we propose the mechanism of China's green financial policy on renewable energy industry development implemented in different pilot zones. By utilizing the synthetic control method, this paper examines the differences in the effect of green financial policy before and after its implementation. The results demonstrate that green financial policy can significantly reduce traditional energy consumption while promote the renewable energy industry development simultaneously. Furthermore, the effects across different regions reveal that the impacts of green financial policy are pronounced in selected pilot zones, with Shanghai and Chongqing standing out the most while Gansu province performs the worst. The analysis also figure out that green financial policy stimulates the expansion of regional financing scales, resource endowment, and technological innovation as well.

• The Journal of Information Systems
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• v.33 no.2
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• pp.191-218
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• 2024

Purpose This study aims to investigate the relationship between digital literacy and the acceptance of care robots, as well as the mediating role of technology self-efficacy in this relationship. The findings of this research aim to provide foundational data for enhancing older adults' acceptance of new technologies, underscore the significance of bolstering older adults' digital literacy in relation to the adoption of care robot technology, and offer evidence to support interventions aimed at improving technology self-efficacy. Design/methodology/approach This study seeks to investigate the mediating effect of technology self-efficacy on the relationship between digital literacy and acceptance of care robot technology among older adults. Kyunghee University's '2022 Korean Senior Technology Acceptance Panel Survey' was used, targeting 509 people aged 60 or older. Data analysis was performed using SPSS 20.0 software. Independent samples t-tests were used to characterize key variables of interest and correlation analysis was used to evaluate their relationships. To verify the mediation effect, mediation regression analysis along with the Sobel test was used. Findings The study found that improving older adults' digital literacy positively impacts their acceptance of care robot technology through enhanced technology self-efficacy. Active education and experience with digital devices are highlighted as crucial for enhancing older adults' sense of accomplishment and, consequently, their technology self-efficacy. The findings underscore the importance of programs and educational initiatives focused on enhancing digital literacy among older adults to boost technology self-efficacy and increase acceptance of care robot technology within this population.

• Advanced Industrial SCIence
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• v.3 no.1
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• pp.1-16
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• 2024

The purpose of this study is to develop a machine learning-based AI convergence class model and class design principles that can foster data literacy in high school students, and to develop detailed guidelines accordingly. We developed a machine learning-based teaching model, design principles, and detailed guidelines through research on prior literature, and applied them to 15 students at a specialized high school in Seoul. As a result of the study, students' data literacy improved statistically significantly (p<.001), so we confirmed that the model of this study has a positive effect on improving learners' data literacy, and it is expected that it will lead to related research in the future.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.3
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• pp.87-98
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• 2024

Changwon City is one of the major industrial cities in Korea. In the past, it grew rapidly with an economic structure centered on manufacturing, but due to changes in the global economic environment and domestic industrial structure, Changwon City's economic growth engine has weakened and a new growth engine must be sought. are facing Accordingly, this study analyzed the goals and strategies of the urban development base project for activation of Local Cities, focusing on the case of Changwon Digital Innovation Town. Specifically, we sought ways to overcome the spatial limitations and saturation of the Masan Free Trade Zone and to activation the local economy by attracting and fostering new, cutting-edge industries. To this end, strategic approaches such as building digital infrastructure, fostering future new technologies, social integration and community formation, and eco-friendly development were proposed, and a plan was presented for Changwon City to leap forward as a new 21st century free trade zone.

• Journal of Korean Library and Information Science Society
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• v.55 no.3
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• pp.263-283
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• 2024

The purpose of this study is to understand the field experience of collaboration classes for Media and Information Literacy (MIL) and to obtain implications for MIL collaboration classes. To this end, focus group interviews (FGI) were conducted with 11 teachers and 9 students from 5 elementary and secondary schools. The research results are as follows. First, collaboration classes were not commonly operated in educational settings. Second, teachers and students who experienced collaboration classes were found to increase students' class participation. Fourth, despite their satisfaction with collaboration classes, teachers reported that the number of class hours increased or they felt burdened by class preparation. Since the achievement and satisfaction of teachers and students in MIL collaborative classes were high, it is necessary to develop a MIL collaborative class model and guidelines to expand MIL collaborative classes.

• Journal of Practical Engineering Education
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• v.16 no.5_spc
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• pp.677-688
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• 2024

This study aims to analyze differences in digital literacy according to demographic characteristics among university professors and students, and between the two groups. An online digital literacy assessment was conducted through the teaching and learning center websites of universities located in Seoul, Incheon, and Chungcheong provinces. A total of 1,308 university students and 102 professors participated in the study. Data analysis was performed using t-tests and ANOVA with SPSS Ver. 23. The findings revealed statistically significant differences in digital literacy total scores based on gender, academic field, and years of service in teaching for professors, except for rank. For students, significant differences were observed based on gender, grade level, academic major, and birth year. Professors demonstrated higher overall digital literacy, including competencies in adapting to software-centric societies and using SNS for collaboration, compared to students. However, students scored higher than professors in basic office tool proficiency.

• The Korean Journal of Financial Management
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• v.24 no.4
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• pp.75-106
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• 2007

In this study, it is analyzed whether oil price plays a major role in the pricing return on Koran stock market and examined why the covariance risk between oil and return on stock is different in each industry. Firstly, this study explores whether the expected rate of return on stock is pricing due to global oil price factors as a function of risk premium by using a two-factor APT. Also, it is examined whether spill-over effects of oil price volatility affect the beta risk to oil price. Considering the asymmetry of oil price volatility, we use the GJR model. As a result, it shows that oil price is an independent pricing factor and oil price volatility transmits to stock return in only electricity and electrical equipment. Secondly, the two step-analyzing process is introduced to find why the covariance between oil price factor and stock return is different in each industry. The first step is to study whether beta risk exists in each industry by using two proxy variables like size and liquidity as control variables. The second step is to grasp the systematic relationship between the difference of liquidity and size and beta to oil price factor by using the panel-data model which can be analyzed efficiently using the cross-sectional data formed with time series. Through the analysis, we can argue that oil price factor is an independent pricing factor in only electricity and electrical equipment having the greatest market capitalization, and know that beta risk to oil price factor is a proxy of size in the other industries. According to the result of panel-data model, it is argued that the beta to oil price factor augments when market capitalization increases and this fact supports the first assertion. In conclusion, the expected rate of return of electricity and electrical equipment works as a function of risk premium to market portfolio and oil price, and the reason to make beta risk power differentiated in each industry attributes to the size.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.2
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• pp.216-225
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• 2015

The purpose of this study was to evaluate night time eating habits, dietary habits, and nutrient intake in university students according to residence type. A survey was conducted by administering questionnaires to 664 students. Questionnaire interview and 24-h dietary recall were conducted. Subjects were divided into three groups according to residence type: dormitory boarding (DB group, N=313), self-boarding (SB group, N=246), and living with parents (LWP group, N=105). Average ages in the DB, SB, and LWP groups were 21.3, 22.2, and 22.1 years, respectively. There were no significant differences in body mass index between the three groups. In total, 77.3% of students regularly ate night time snacks. The proportion of students who reported night time eating was 84.0% in the DB group, 73.6% in the SB group, and 65.7% in the LWP group (P<0.001). In terms of food types consumed during night time eating, the DB group showed a significantly higher rate of consumption of fried chicken and flour-based foods than the SB and LWP groups, whereas the SB group showed a significantly higher rate of consumption of alcohol beverages than the DB and LWP groups. Energy, carbohydrates, protein, fat, vitamins, and mineral intakes were significantly higher in the DB group than in the SB and LWP groups. In addition, intake of cholesterol per 1,000 kcal was significantly higher in the DB group than in the SB and LWP groups. Thus, SB and DB students seemed to have more night time eating problems than LWP students. Accordingly, nutritional education is needed to support the development of healthier eating habits, in particular, night time eating habits, among students living in dormitories and in self-boarding situations.