• 한국프랜차이즈경영연구
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• 제10권1호
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• pp.19-32
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• 2019

Purpose - Since the opening of Korea's distribution market, the domestic network marketing market has been continuing to grow. In this context, research on network marketing independent operators, which plays the most important role in the network marketing industry, is insufficient. This study was to identify the effects of Independent Operator's Company Selection Attributions on the Economic and Non-Economic Satisfaction, Trust, and Recommendation. The results will provide strategic direction, theoretical and practical implications for companies and operators in the network marketing industry. Research design, data, and methodology - In order to verify the research hypotheses, the data were collected from Independent Operators of Network marketing industry using questionnaires. The pretest was conducted from January 8 to 19, 2018, and the main survey was conducted from February 1 to 28. A total of 210 questionnaires, of which 193 copies were collected. The data were analyzed with SPSS 21.0. and AMOS 21.0. Results - The results are as follows; product competitiveness and system competitiveness have significant effects on economic satisfaction and non-economic satisfaction. Economic and non-economic satisfaction have significant effects on business trust. Economic and non-economic satisfaction did not influence recommendation intention directly, but influence it indirectly. Business trust has a significant effect on business recommendation intention. Conclusions - After starting network marketing business as an independent operator, the competitiveness of the company is meaningless, and product competitiveness and system competitiveness are important factors for economic and non-economic satisfaction. Therefore, network marketing companies and independent operators should prioritize product competitiveness and system competitiveness between business development. The findings show that trust in the business is very important for active business Recommendation to others. Therefore, network marketing firms and independent operators need to make efforts to meet economic and non-economic satisfaction, which have a significant impact on business trust.

• 한국항만경제학회지
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• 제31권1호
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• pp.171-188
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• 2015

물류시스템은 점점 더 중국의 경제성장을 위한 중요한 원동력 중 하나로 인정받고 있습니다. 물류효과의 폭이 넓어의 범위와 중국의 물류인프라, 물류산업의 발전과 함께 급속한 발전을 이루었습니다. 이 논문은 중국에서 2003년부터 2012년까지 기간 동안 31 지방을 포함하는 데이터 집합을 사용하여, 물류 발전과 경제 성장 사이의 관계를 조사합니다. 요인분석은 국가경제성장의 물류의 발전에 미치는 영향을 정의물류함수의 전체평가를 얻기 위해 적용됩니다. 고정효과패널 데이터의 접근방식에 따르면, 중국의 경제성장에 물류발전의 중요하고 긍정적인 영향은 그사이에, 해안지방과 내장 지방 사이 의 경제발전에 대한비교분석 도 실시, 발견된다. 결과는 경제성장에 물류발전의 영향은 서부지역에 비해 동부지역에서 높은 것이 좋습니다.

• 융합경영연구
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• 제6권3호
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• pp.10-13
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• 2018

Purpose - On the basis of discussing the network economy concept and the commentary of the marginal revenue decreasing of traditional economic theory, The concept of network economy has just been put forward in recent years. The reason why such a concept appears is that the information technology, marked by computer network, plays an increasingly important role in economic activities. Some people define network economy as an economic form based on network technology and human capital. this paper points out network economy existing the marginal revenue increasing and analyzes the reasons that influencing the marginal revenue increasing. Research design, data, methodology - The network economy has fundamentally changed the traditional economic laws. The economic basis of industrial society is the law of incremental marginal cost, which reflects the socialization of high cost in industrial society. Results - As the number of network members increases, the value of the network increases explosively, and the value increases attract more members to join, resulting in more returns. Conclusion - In conclusion, network economy has changed many aspects of traditional economy, resulting in decreasing marginal cost, decreasing transaction cost in and out of enterprise organizations, and making the effect of increasing scale compensation more prominent. This is of great significance to the information construction in China.

• 산업공학
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• 제18권3호
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• pp.277-287
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• 2005

In this paper, we deal with a new techno-economic modeling and analysis for optical access networks. In deploying the fiber-to-the-home (FTTH) architecture, network planner needs to consider the following techno-economic issues: when do we need to upgrade existing local access network to FTTH network? how much do we invest to maximize profit? In order to answer these techno-economic questions, we need to consider the impact of emerging technologies and business environment. Toward this end, we develop a new techno-economic modeling to deal with the inherent complexity of technology evolution and cost economics. In particular, the new modeling approach provides us with an techno-economic analysis of technology alternatives such as ethernet passive optical network (E-PON) and wavelength division multiplex passive optical network (WDM-PON). In this analysis, we focus on the impact of critical factors such as the cost characteristic of proposed architecture and digital subscriber line (DSL) subscriber's churn-in to FTTH service and churn-out. We develop mixed integer-programming models for finding the evolution path of local access networks to broadband network architectures.

• Asian Journal of Innovation and Policy
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• 제7권3호
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• pp.461-488
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• 2018

This paper explores the relationship between network cooperation, innovation, internationalization and economic performance of manufacturing small and medium enterprises (SMEs) of engineering goods industry located in Bangalore city, India. At the outset, it is observed that SMEs receive the maximum assistance in the realm of product specifications. Moreover, they do not resort to manufacturing new products as much as they resort to product modifications or process improvements. Further, it is found (using Chi-square test of independence) that higher the network assistance received from an external network, greater is the innovation performance of SMEs. Subsequently, using analysis of variance (ANOVA), export intensity (proxy for internationalization performance) of SMEs is found to have a significant positive association with both the degree of their network cooperation and of their innovation performance. Lastly, it is observed that higher the degree of each of network cooperation, innovation performance and internationalization performance, better is the economic performance (measured by total sales turnover) of SMEs. These results have significant implications for the policy makers of the country to give due attention to network cooperation, innovation and internationalization as the means of enhancing the economic performance of SMEs.

• 대한안전경영과학회지
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• 제13권3호
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• pp.175-182
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• 2011

The purpose of this article is to suggest what is the desirable direction of economic relationship between Korea and China. The economic relationship between countries is based on how the present network is. As the economic relationship between countries grows, the network between countries will expand. In the past, the economic relationship between Korea and China is cooperative one from the viewpoint of international division of labor. Korean industries was focused on the value-added and mid-advanced technology products, while Chinese was focused on the labor-intensive products. As the China's economy grows for more than thirty years, there is a great change in China's economic policies and environment. China's industry structure is moving from the labor-intensive industry to technology-oriented industry. China's exports to the global market is increasing very fast, and China's domestic market is also growing. The change in Chinese industries' structure bring about severe competition in the global market. The expanding China's domestic market is also good opportunity as the new market in the world. The change in China's industrial structure needs for Korea to establish the 'New Network" between two countries. Korea has to grab the new opportunities in the China's domestic market and find new cooperative network with the products and industries.

• 한국경제지리학회지
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• 제10권4호
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• pp.355-376
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• 2007

본 연구는 한국경제지리학 성립 50년($1956{\sim}2005$년) 동안 경제지리학 연구 틀의 조류를 시기별 방법론상의 변화 등을 고찰하는 것을 목적으로 한다. 한국경제지리학에 영향을 미친 요인은 한국의 지리학을 위시하여 구미 일본의 경제지리학, 경제 경영학의 기초이론, 지역문제, 문화의 다섯 가지이며, 경제지리학의 시기구분은 1956년부터 1962년까지의 '경제지리학 요람기', $1963{\sim}1970$년대 후기까지의 '경제지리학 정립기', 1980년대 전기부터 1990년대 전기까지의 '경제지리학 도약기', 1990년대 후기 이후의 '경제지리학 전환기'로 구분할 수 있다. 그리고 한국경제지리학의 연구 틀은 '경제지리학 도약기'까지는 지역구조가, 그 이후 '경제지리학 전환기'에는 경제의 공간체계 네트워크론으로 바뀌어졌다. 경제의 공간체계 네트워크론은 세계경제의 공간체계, 국민경제의 공간체계, 지역경제의 공간체계, 기업경제의 공간 네트워크, 정보경제의 공간 네트워크로 구성된다.

• ETRI Journal
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• 제34권3호
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• pp.308-318
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• 2012

As mobile markets in most developed countries are rapidly coming close to saturation, it is increasingly challenging to cover the cost of providing the network, as revenues are not growing. This has driven mobile operators, thus far mostly involved in facility-based competition, to turn their attention to network sharing. There exist various types of mobile network sharing (MNS), from passive to active sharing. In this paper, we propose a model, based on the supply-demand model, for evaluating the economic effects of using six types of MNS. Our study measures the economic effects of employing these six types of MNS, using actual WiBro-related data. Considering lower service price and expenditure reduction, the total economic effect from a year's worth of MNS use is estimated to be between 513 million and 689 million USD, which is equal to three to four percent of the annual revenue of Korean mobile operators. The results of this study will be used to support the establishment of a MNS policy in Korea. In addition, the results can be used as a basic model for developing various network sharing models.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집
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• pp.388-395
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• 2009

The objectives of this study are to analyze the railway traffic conditions of Korea, China and Japan, and to appropriate the railway network planning for international logistics in Northeast Asia. Korea is located geographically on the main trunk route in Northeast Asia. Considering the geographical advantage and the overall potential of the economic and trade in Northeast Asia region, this area is required to connect the railway network. Recently, the scale of economic in Northeast Asia, including Korea, China and Japan, is increasing, also Northeast Asia's gross domestic product(GDP) is 22 percent of global and containers trade come up to 36 percent. Each country intend about integration of economic region for activity of mutual economic cooperation, for steady development and prosperity of each country economic all over the world, and Northeast Asia countries are in debate. There is a quite possibility of integration by a single economic region in Korea, China and Japan. Accordingly these countries should have expansion of traffic infrastructure, when the economic region is going to integration.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.109-114
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• 2020

The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.