부동산 가격 예측을 위한 뉴럴네트웍의 응용(CERIK WORKING PAPER NO.1) 18~24

남경두 한국건설산업연구원 1996 CERIK WORKING Vol.- No.1

電子商去來에서의 消費者保護를 위한 法的 問題點에 대한 考察 : 電子認證과 電子署名을 중심으로

남경두,이수진 건국대학교 경제경영연구소 2000 商經硏究 Vol.25 No.1

Electronic certification and electronic signature issues are a vital concern for developing electronic commerce, and a number of initiatives are underway in both the public and private sectors to ensure that businesses and consumers can engage in secure and reliable electronic communications and transactions in the global networked society. In recent years OECD Member countries have undertaken to develop and iMplement may create obstacles to the evolution of national and global information and communications networks and hinder the development of electronic commerce. Both governments and the private sector have recognized the need for international collaboration to develop and efficient and secure information infrastructure. This paper in this area has focused on electronic authentication and signature issues in order to protect consumers. The paper concludes that electronic authentication and signature consensus about specific policy and regulatory issues related to information and communications networks and technologies, including electronic authentication and electronic signature.

국제마케팅 분석을 위한 뉴럴네트웍의 응용

남경두 建國大學校 經濟經營硏究所 1996 商經硏究 Vol.21 No.1

In the fiercely competitive global marketplace of the 1990s, nothing is more powerful than information or knowledge about customers' individual practices and preferences. Accordingly, international marketers are collecting mountains of data to forecast marketing requirements ; the search is on for social, economic, and consumer trends within specific international markets. Given that good information is the key to effective marketing decisions, the international marketer with better information will surely have a competitive advantage. The purpose of this paper is to demonstrate the potential of neural networks(NNs) for international marketing analysis. Neural networks are computer-based simulations of living nervous systems which simulate the intuition and judgement necessary for unstructured decision problems faced by top-level international marketing managers. Some potential applications of neural networks to international marketing are discussed. Also, the potential of using neural networks in lieu of traditional statistical methods in forecasting airline passenger traffic is explored. Neural networks offer great potential for improvements in solving a host of marketing problems, particularly problems characterized by "fuzzy" data such as many problems faced in the global marketplace. A few considerations that have proved useful in international marketing analysis are presented. First, neural networks require great quantities of historical data for learning. So, be certain to have enough data on hand to satisfy NN requirements. Second, use the neural networks to solve those problems for which they are best adapted. Generally, the neural networks perform well when no theoretical model or underlying mathematical function which can be easily determined is available. Finally, competitive-minded international markets will find neural networks, an excellent alternative to traditional statistical techniques for the many real-world problems to which NNs apply.

한국과 미국간 항공기 탑승객 수 예측을 위한 뉴럴네트웍의 응용

남경두 한국경영과학회 1995 한국경영과학회 학술대회논문집 Vol.- No.2

In recent years, neural networks have been developed as an alternative to traditional statistical techniques. In this study, a neural network model was compared to traditional forecasting models in terms of their capabilities to forecast passenger traffic for flights between U.S. and Korea. The results show that the forecasting ability of the neural networks was superior to the traditional models. In terms of accuracy, the performance of the neural networks was quite encouraging. Using mean absolute deviation, the neural network performed best. The new technique is easy to learn and apply with commercial neural network software. Therefore, airline decision makers should benefit from using neural networks in forecasting passenger loads.

인도의 투자환경과 우리나라 기업의 대인도 투자현황 및 투자 관리 방안에 관한 연구

남경두,한준우 한국상품학회 2004 商品學硏究 Vol.0 No.31

This research is to study how Korean firms should manage FDI risks, and also to examine the various ways of the risk management when investing in India. In the case of company trait, the scale of the company, its export share and the age of the firm when investing in India do have an effect on the risk. The risk level is lower when the company is large, exports more and has a long history operating in India. As for the management of company trait, the Korean firms investing in India should assess the risk, increase export share and pay close attention to the risk at the beginning stage of the investment. In the case of industry trait, the risk is being affected by the diversification of the business, as well as the items and dispersion of production line. As for the management of industry trait, Korean firms investing in India are advised to disperse business sites and production lines, to diversify handling items as well as buying sources. In the case of investment environment trait, the risk is increased when the country risk is high, market situation is unstable and labor is unrest. As for the management of environment trait, Korean firms investing in India should acquire investment insurance, manage labor properly and adjust to the different cultures in India. It has been revealed that India's social environment such as caste, religion, and culture are very different from Korea's. As a result, it might be difficult to maintain a good relationship with an Indian business partner. India's potential is estimated to be very high, however the corruption level of government officials is also pretty high and the government's policies are unpredictable.

부동산 분석을 위한 뉴럴네트웍의 응용

남경두 建國大學校 經濟經營硏究所 1997 商經硏究 Vol.22 No.2

This study shows the potential of neural networks for real estate analysis. Also, the study compares the performance of neural networks with that of time series regression analysis as illustration of the appropriate use of real estate analysis. Neural networks are computer-based simulations of living nervous systems and have a mathematical basis. Neural networks learn from experiences, generalize from previous examples to new ones, and abstract essential characteristics from noisy and incomplete inputs. It is required that a user have sufficient expertise to decide the number of neurons in the hidden layers, the learning rate, and the momentum. The selection of these factors is problem-dependent and, at this time, there are no established methods for identifying the appropriate values. Generally, using a small number of neurons in the hidden layer increases the number of iterations required to train the neural network and reduces the predictive ability of the neural network. On the other hand, the use of too many neurons in the hidden layer extends the training time and allows the neural network to memorize rather than generalize the training data. The performance of the neural network is affected by its training time. During the first part of training, the performance of the neural network on the training data and testing data improves. During the next part of training, the performance of the neural network on the training data improves continuously. However, the performance of the neural network on the testing data may become worse because the neural network may memorize the training data, and it may cause nongeneralization of predictive ability of the neural network on the testing data. The empirical results for the data of housing price index are that the neural networks performed better than time series regression on the basis of MAD(mean absolute deviations). Also, the F-tests showed that there were statistical differences between them at 0.05 significance level.

중국 전자상거래 소비자의 알리페이 사용 용이성과 유용성에 관한 연구

남경두,김동춘,김지혜 한국무역연구원 2017 무역연구 Vol.13 No.1

Recently, there is intention of Alipay and its use in Korea as increasing Chinese tourists due to the Korean wave and the simple payment service. This study investigates how perceived ease of use and usefulness among Chinese customers affect the quality of the Alipay payment service system. To achieve the purpose, this researcher explored Technology Acceptance Model proposed by Davis (1989) and IS Continuance Model by Bhattacherjee (2001) on the basis of the investigation performed a study. A survey using self-administered questionnaires was conducted on 233 Chinese customers who used the Alipay payment service. Results of this study indicated that two factors, specifically, usage convenience and responsiveness affected both perceived ease of use and perceived usefulness. Likewise, the Technology Acceptance Model of Davis (1989) is very useful in explaining Chinese customer behavior relative to the use of Alipay as a payment method in Korea. Theoretical, practical meanings and suggestions for future study were discussed in the paper.

부동산 가격 예측을 위한 뉴럴네트웍의 응용(CERIK WORKING PAPER NO.1) 1~18

남경두 한국건설산업연구원 1996 CERIK WORKING Vol.- No.1

수출기업의 기업가정신, 시장지향성, 환경변화요인이 해외마케팅역량에 미치는 영향

남경두(KyungDoo Nam),이진철(JinCheol Lee),이홍균(HongKyun Lee) 한국무역연구원 2016 무역연구 Vol.12 No.1

Export in Korea has been the main driving force of the nation’s economic growth. However,since export is largely concentrated upon the large firms, there is a perceived need to expandthe participation of small and medium-sized enterprises in overseas markets in order toovercome the economic recession in Korea. Generally, small-sized firms do not exhibit a weakcapability relative to new market development and a changing environment. The purpose ofthis paper is to empirically investigate the influence of entrepreneurship, market orientation,and environmental change on the international marketing capability of small and medium-sizedexport companies in Korea. Using surveys, this research collected data from 153 small andmedium-sized export enterprises in Korea. The result shows that corporate entrepreneurship,market orientation, and environmental change partially influence international marketingcapability of such firms. This study offers practical insight and implications for small andmedium-sized enterprises wanting to increase their competitiveness in the actual field ofbusiness.

한국 무역업체의 알리바바 무역 e-Marketplace 활용동기 및 성과에 관한 실증연구

남경두(Kyung-Doo Nam),김종환(Jong-Whan Kim),이진우(Jin-Woo Lee) 한국관세학회 2012 관세학회지 Vol.13 No.3

The main purpose of this paper is an empirical study on the korean trading company’s utilization motivation and performance of alibaba.com. Major issues are summarized as follows. First, Using the e-Marketplace such as alibaba.com by competitor’s raises the level of utilization motivation of Internet. Second, companies have a chief executive more innovative leadership and marketing strategy get high level of internet trade marketing advantage. Third, local government and trade-concerned organization’s supports make a good export marketing performance.