• Journal of the military operations research society of Korea
• /
• v.36 no.1
• /
• pp.39-49
• /
• 2010

This paper tries to identify emerging defense technology using S&T Text Mining. As a national agenda, there has been much effort to build S&T information systems including NTIS and DTiMS that enable researchers, policy makers, or field users to analyze technological changes and promote the best policy practices for efficient workflow, knowledge sharing, strategy development, or institutional competitiveness. In this paper, the S&T Text Mining application to unmanned combat technology using INSPEC DB is empirically illustrated and shows that it is a feasible approach to identify emerging defense technology as well as the structure of knowledge network of the future technology candidates.

• Parasites, Hosts and Diseases
• /
• v.37 no.3
• /
• pp.129-143
• /
• 1999

Plasmodium vivax malaria, which was highly prevalent in the Republic of Korea, disappeared rapidly since 1970s. However, malaria re-emerged with the first occurrence of a patient in 1993 near the demilitarizd zone (DMZ), the border between South Korea and North Korea. Thereafter, the number of cases increased exponentially year after year, totaling 6,142 cases (6,249 if United States Army personnels were included) by the end of 1998. Interestingly enough, the majority of cases (3,743; 61%) was soldiers aged 20-25, camping around the northern parts of Kyonggi-do or Gangwon-do (Province) just facing the DMZ. Among 2.399 civilian cases, 1,144(47.%) were those who Provinces. The re-emerging malaria characteristically revealed a combination type of short and long incubation periods with predominance of the long type. The course of illness was relatively mild, and the treatment was successful in most patients. Vector mosquitoes are Anopheles sinensis and possibly A. yatsushiroensis. Wide-scale preventive and control measures should be operated to eradicate this re-emerging disease. It has been suggested by many authors that the initial source of the re-emerging malaria was infected mosquitoes which had flown from the northern part of the DMZ.

• Journal of Information Technology Applications and Management
• /
• v.16 no.3
• /
• pp.29-43
• /
• 2009

The advancement of emerging technologies can create more national value, and this motivates many nations to invest their resources in the emerging technologies. However, due to limited financial and human resources, even a wealthy nation cannot afford to randomly invest its resource in all profitable technologies. Therefore, cautious appraisal and prioritization of the competitive technologies should be conducted first, and then concentrated investment should be done for only the selected technologies. In this study, we propose a quantitative criterion for prioritizing the targeted electronic device technologies. The prioritization scheme devised in this study consists of a growth layer, a profitability layer, a vitality layer, and an influence layer. The proposed model forecasts the most promising technologies by applying the revised version of the Analytic Hierarchy Process (AHP). We performed empirical experiments on 12 emerging electronic device technologies to analyze the practical applicability of our study. The experimental data was obtained from 70 experts in high-tech industry as a part of the 2004 Prioritization and Selection project that was carried out in South Korea. As a result, the proposed scheme was able to present the most promising areas for investment in the field of electronic device technology.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.7 no.6
• /
• pp.1393-1401
• /
• 2012

In this study, we pick graphene research as a case study to demonstrate the importance of follow-up monitoring the emerging technology items. Graphene was selected as an emerging technology from MIT(2008) and KISTEP(2009). We analyze the growth, transition, and differentiation of graphene research by keyword mapping techniques. Specifically, we investigate the changing aspects of biosensor area within graphene field to predict that it will be highly promising.

• Safety and Health at Work
• /
• v.6 no.4
• /
• pp.353-356
• /
• 2015

Background: In 2012, the Alaska Section of Epidemiology investigated personnel potentially exposed to a Brucella suis isolate as it transited through three laboratories. Methods: We summarize the first implementation of the United States Centers for Disease Control and Prevention 2013 revised recommendations for monitoring such exposures: (1) risk classification; (2) antimicrobial postexposure prophylaxis; (3) serologic monitoring; and (4) symptom surveillance. Results: Over 30 people were assessed for exposure and subsequently monitored for development of illness. No cases of laboratory-associated brucellosis occurred. Changes were made to gaps in laboratory biosafety practices that had been identified in the investigation. Conclusion: Achieving full compliance for the precise schedule of serologic monitoring was challenging and resource intensive for the laboratory performing testing. More refined exposure assessments could inform decision making for follow-up to maximize likelihood of detecting persons at risk while not overtaxing resources.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.3
• /
• pp.931-941
• /
• 2021

The study focuses on the relationship between SB, corporate social responsibility (CSR), and the emerging economy. Thereafter it highlights the types, principles, and funding cycle of SB with the evidence from Grameen Bank, which is a globally well-recognized microfinance venture in Bangladesh established by the Nobel Laureate Dr. Muhammad Yunus. This study employs qualitative analysis to illustrate an architectural overview of the SB model by collecting secondary data from various publications related to the topic and published data of Grameen Bank. Finally, this paper illustrates the SB model along with specified characteristics, systematic framework, and main approaches for sustainable context, which could be applied as a conceptual framework for SB in any context of the emerging economy. The findings of this study suggest that the SB model is the workflow having a hierarchy of five phases namely need identification, goal setting, solution-based business plan, business plan assessment, and business plan execution. Analyzing a range of social business interventions in a developing country, Bangladesh, through the lens of five key aspects demonstrates that social business is the most efficient way to sustainably maximize the social benefits and minimize specific social issues poverty of the people affected.

• Asia-Pacific Journal of Business
• /
• v.12 no.4
• /
• pp.13-40
• /
• 2021

Purpose - The purpose of this study is to predict corporate corruption in emerging markets such as Brazil, Russia, India, and China (BRIC) using different machine learning techniques. Since corruption is a significant problem that can affect corporate performance, particularly in emerging markets, it is important to correctly identify whether a company engages in corrupt practices. Design/methodology/approach - In order to address the research question, we employ predictive analytic techniques (machine learning methods). Using the World Bank Enterprise Survey Data, this study evaluates various predictive models generated by seven supervised learning algorithms: k-Nearest Neighbour (k-NN), Naïve Bayes (NB), Decision Tree (DT), Decision Rules (DR), Logistic Regression (LR), Support Vector Machines (SVM), and Artificial Neural Network (ANN). Findings - We find that DT, DR, SVM and ANN create highly accurate models (over 90% of accuracy). Among various factors, firm age is the most significant, while several other determinants such as source of working capital, top manager experience, and the number of permanent full-time employees also contribute to company corruption. Research implications or Originality - This research successfully demonstrates how machine learning can be applied to predict corporate corruption and also identifies the major causes of corporate corruption.

• Journal of Technologic Dentistry
• /
• v.45 no.1
• /
• pp.8-13
• /
• 2023

Purpose: This study aims to induce interest in the future society that could change with the advance of the 4th Industrial Revolution. It also intends to identify the direction of university education by investigating the perception of university students majoring in dental laboratory technology about the latest technology used in this era. Methods: The study recruited 240 college students majoring in dental laboratory technology at K and D universities in Gangwon-do and Daejeon, respectively. Online and face-to-face surveys were conducted from March 20, 2022 to April 10, 2022. Results: Although their interest in the use of emerging technologies during the 4th Industrial Revolution was above average 3.85, the dental laboratory technology students exhibited relatively high levels of anxiety 3.19 and reluctance 2.96. Second, their interest in emerging technologies demonstrated positive correlations with major satisfaction and understanding of concepts and readiness, whereas reluctance and anxiety pointed to negative correlations with understanding of the concepts of the 4th Industrial Revolution. Conclusion: Formulating guidelines is necessary to help students increase their understanding of the 4th Industrial Revolution and prepare them appropriately by setting an educational direction that can flexibly respond to the rapidly changing industrial environment.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.1
• /
• pp.203-211
• /
• 2022

Foreign direct investment (FDI) has increased at an exponential rate during the last two decades. It is now a feature of emerging market economies as well. Foreign direct investment and financial development are important factors in an economy's growth. Various studies have examined the impact of foreign direct investment and financial development on economic growth in different countries and areas. However, the findings are currently inconclusive. Using updated data from 1970 to 2020, this study will examine the relationships between FDI, financial development, and economic growth in 30 rising economies.GDP is the dependent variable, while FDI, financial development, trade openness, infrastructure, exchange rate, and GDP growth are the independent factors. To estimate the panel data, we used the most recent econometric models. The study's major findings suggest that FDI and financial development are critical determinants in emerging economies' economic progress. Furthermore, multiple robustness checks supported the study's empirical findings. The results of this study include various practical recommendations for investors, governments, and policymakers, given the increased interest in global economic integration and member states' reliance on FDI as a critical aspect of sustaining prosperity.

• Korea Trade Review
• /
• v.46 no.3
• /
• pp.65-79
• /
• 2021

This paper investigates how corporate governance characteristics are related to long-term corporate survival in an emerging economy. We used the data of 311 companies listed on the Korean Stock Exchange (KSE) in 1979 and examined the survival chances of those companies through the IMF crisis in 1998, upon governance characteristics that are expected to increase long-term strategic orientations. We utilized Cox regression model for the analysis. The results indicate that firms with particular governance characteristics that may be tied to CEO's long-term orientations show higher long-term survivability. Specifically, the probability of a firm's long-term survival is increased when founding family ownership is sustained, the company ownership is concentrated, and the CEO is the largest shareholder. This study has significance in that it is one of initial tries to examine the impact of corporate governance on long-term corporate survival with large scale statistical analysis. Also, the study findings provide some clues as to why the portion of family firms in emerging economies is continuously increased, thus providing meaningful insights to corporate governance literature.