• Journal of Convergence for Information Technology
• /
• v.8 no.6
• /
• pp.93-99
• /
• 2018

The purpose of this study was to prove the effect of passive stretching after delayed muscular pain induction in university students and to propose a rehabilitation exercise program for effective pain relief and prevention in case of injury. Subjects were divided into passive stretching group and control group. Passive stretching group was performed passive stretching after delayed muscular pain induction and control group did not perform any treatment after delayed muscular pain induction. The delayed muscular pain induction method was induced by bench step motion. The height of the step box was 50cm. The data were analyzed by two-way RGRM ANOVA for comparison of passive stretching group and control group. In conclusion, passive stretching after delayed myalgia has a positive effect on blood fatigue (CRP, LDH) and subjective pain scale(VAS).

• Economic and Environmental Geology
• /
• v.52 no.3
• /
• pp.243-250
• /
• 2019

The purpose of this study is to pro-actively respond to changes in government R&D policy and start to supplement the limitations of previous KIGAM R&D planning process. We looked out through the existing literature for a variety of R&D planning process, and analyzed the R&D planning process characteristics of each institution through the interview. As a result, we can be derived conclusions and implications from three sides, environmental analysis, demand excavation methods, R&D project configuration and selection method. In the case of environmental analysis and the overall need to enhance the skills and mega trend analysis by market trend analysis. And in the demand side, the institute need to establish challenging and specific R&D goals. In addition, in case of configuration and selection of R&D projects we derived several implications, such as convergence, SME support, resource analysis, selection of long-term project.

• Knowledge Management Research
• /
• v.22 no.4
• /
• pp.87-101
• /
• 2021

ESG Investment is emerging as a trend and common sense in the financial market. ESG Investment is an investment method that simultaneously pursue social sustainability and investment returns from a long-term perspective by reflecting non-financial factors such as environment, society and governance in addition to corporate financial performance in investment decisions. This study checked how the characteristics of ESG investment have been changed after Covid-19. Afterwards, it was confirmed that Covid-19 actually acted as a negative factor in the securities market by applying VAR model. At the same time, it was demonstrated that ESG indices of the US and Korea outperformed their benchmark in terms of return and risk during the pandemic regime. The result of this study hints that the importance of ESG investment will be unchanged after Covid-19. At the same time, it suggests that managers should avoid passive ESG management and engage in strategic ESG management based on knowledge management.

• The Journal of the Korea Contents Association
• /
• v.22 no.1
• /
• pp.148-161
• /
• 2022

Korea's design developed closely related to economic growth and plays a key role in material growth, wealth growth, and consumption promotion today. Of course, it is true that Korea's design level has grown significantly, but it has not reached a trend-leading level. Behind this, it is thought that one of the reasons behind this is that most design companies are biased towards trend research and benchmarking from a supplier perspective, resulting in the creation of design sculptures. If you look at the examples that lead the world's design trends, you can see that their subjective thinking from the author's point of view accounts for a significant portion of design sculpture creation. Through an in-depth interview with designers and artists at both extremes of the spectrum of thought, I want to look at examples of self-expression design development and get implications for suggesting conceptual models of self-expression design sculpture. Through this, a conceptual model was proposed, which is organized into a five-step design creation process in which balanced thinking is achieved by combining the thinking system and process according to the writer's point of view with the majority of design creation dominated by supplier perspective.

• Asia Marketing Journal
• /
• v.2 no.1
• /
• pp.27-41
• /
• 2000

본 연구는 서비스산업인 호텔기업을 대상으로 특 1 급, 특 2 급, 1 급 호텔의 시장지향성이 관리자와 종업원들간에 어떻게 지각되고, 호텔등급별로 시장지향성은 차이가 있으며, 호텔등급별로 시장지향성이 사업성과에 미치는 영향력은 차이가 있는가를 알아보고자 이에 관련된 연구과제를 설정하고 실증분석 하였다. 본 연구의 실증분석 결과는 다음과 같다. 첫째, 호텔등급별로 관리자와 종업원들은 특 1 급 호텔의 경우 경쟁자의 가격구조에 대한 반응(Moi3)(p<.01)과 시장세분화를 근거로 한 신제품/서비스 개발(Mor1)(p<.05), 특 2 급 호텔의 경우 고객여론 조사 정도(Mog2) (p<.05), 시장세분화를 근거로 한 신제품/서비스 개발(Mor1)(p<.05), 제품/서비스 개발 노력이 고객욕구와 일치하는 가의 정기적 점검 (Mor2)(p<.05)., 1 급 호텔의 경우 비공식적 수단에 의한 호텔산업 정보 수집 정도(Mog3) (p<.05), 사업계획이 시장조사보다는 기술발전에 따라 이루어지는 정도(Mor3)(p<.05) 등의 시장지향성 항목에 대해서 유의적인 지각 차이를 보이는 것으로 나타났다. 둘째, 특 1 급 호텔의 시장지향성이 특 2 급, 1 급 호텔의 시장지향성보다 높은 것으로 나타나 특 2 급, 1 급 호텔은 특 1 급 호텔을 전략적 벤치마킹의 대상으로 설정할 필요성이 있는 것으로 나타났다. 셋째, 호텔등급 별로 시장지향성이 성과에 미치는 영향력(R²)을 분석한 결과, 특 1 급과 특 2 급 호텔이 1 급 호텔에 비하여 유의적으로 높은 것으로 나타났다. 한편 특 1 급과 특 2 급 호텔은 통계적으로 유의적인 차이는 없었으나 특 1 급 호텔의 시장지향성이 더 높은 것으로 나타났다.

• Journal of Intelligence and Information Systems
• /
• v.29 no.4
• /
• pp.287-308
• /
• 2023

After launching its service in November 2022, ChatGPT has rapidly increased the number of users and is having a significant impact on all aspects of society, bringing a major turning point in the history of artificial intelligence. In particular, the inference ability of large language models such as ChatGPT is improving at a rapid pace through prompt engineering techniques. This reasoning ability can be considered as an important factor for companies that want to adopt artificial intelligence into their workflows or for individuals looking to utilize it. In this paper, we begin with an understanding of in-context learning that enables inference in large language models, explain the concept of prompt engineering, inference with in-context learning, and benchmark data. Moreover, we investigate the prompt engineering techniques that have rapidly improved the inference performance of large language models, and the relationship between the techniques.

• Journal of Korea Society of Industrial Information Systems
• /
• v.29 no.4
• /
• pp.105-122
• /
• 2024

Myanmar was successful in increasing its sustainable development index during the three years period from 2018 to 2020. However, the index began to decline since 2021. This study aims to analyze both the success factors and obstacles for sustainable development in Myanmar. Using the search terms 'Myanmar' and 'sustainability', online news items were collected from January 2018 to December 2023 and were examined through text network analysis. The study identified the following success factors that contribute to sustainable development in Myanmar: foreign investments, private companies' participation in the effort, human resource development projects, and the use of new and renewable energy. The inhibition factors for the development efforts identified were: government's coercive/restrictive policies, labor rights violations, and forest degradation. The findings of this study provide useful insights for understanding the current status of sustainability in Myanmar from academic and practical perspectives. The results also present benchmarking information for policy-makers in Myanmar and other similar developing countries that are searching for strategic directions in their sustainable development efforts.

• Journal of the Economic Geographical Society of Korea
• /
• v.6 no.1
• /
• pp.1-20
• /
• 2003

This paper aims to examine the contribution that the ERVET System, composed of ERVET and real service centers, has made to both governing and enhancing regional innovation system in Emilia Romagna, Italy. ERVET and real service centers both establish and perform plans for regional development and innovation. But they also try to provide varieties of real services for local firms, mostly small and medium-sized firms. Attempting to promote innovation networks between industries, universities and administrative bodies, the ERVET System has become a core intermediary agency of Emilia Romagna in both governing regional innovation system and enhancing regional innovation capabilities. Based on the case of the ERVET System, we propose a policy recommendation. As local governments in Korea have still been less autonomous but hierarchical, it would be difficult for them to make the decision effectively on regional innovation and development initiatives. In this context, we suggest that regional development agencies need to be established on the basis of benchmarking advanced cases in Europe and North America such as the ERVET System.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.8
• /
• pp.251-261
• /
• 2016

Recently, many weapon related quality issues have arisen in the armed forces, such as failures of K-21 Infantry Fighting Vehicles, K-9 self-propelled mounts, and grenade explosion during boot training. Since all of the issues are repetitive phenomena, we examined the defense quality management system and identified the possible solutions for it. Since the government quality assurance agency performs their quality assurance activity using the system evaluation technique, we first reviewed the regulations related to the defense quality management system. Then, we benchmarked some other advanced quality management systems. We suggested two types of defense quality management system, one for small (in terms of the amount of the contract) competitive contracts and the other for large private contracts. For the first one, we adopted the framework of MIL-I-45208 (Inspection System Requirement), while for the second one, we adopted the framework of NATO AQAP 2310 (Quality Management System Requirements for Aviation, Space and Defense Suppliers).

• The Journal of Society for e-Business Studies
• /
• v.23 no.3
• /
• pp.207-224
• /
• 2018

In this article, an empirical study was conducted by using public dataset from Lending Club Corporation, the largest online peer-to-peer (P2P) lending in the world. We explore significant predictor variables related to P2P lending default that housing situation, length of employment, average current balance, debt-to-income ratio, loan amount, loan purpose, interest rate, public records, number of finance trades, total credit/credit limit, number of delinquent accounts, number of mortgage accounts, and number of bank card accounts are significant factors to loan funded successful on Lending Club platform. We developed online P2P lending default prediction models using discriminant analysis, logistic regression, neural networks, and decision trees (i.e., CART and C5.0) in order to predict P2P loan default. To verify the feasibility and effectiveness of P2P lending default prediction models, borrower loan data and credit data used in this study. Empirical results indicated that neural networks outperforms other classifiers such as discriminant analysis, logistic regression, CART, and C5.0. Neural networks always outperforms other classifiers in P2P loan default prediction.