• 지역연구
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• 제31권1호
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• pp.3-20
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• 2015

본 연구는 도시의 특정 기능이 도시규모에 의존하는지 혹은 도시 네트워크도에 의존하는지를 파악함으로서 네트워크 도시이론의 적용가능성을 검토하고자 하는데 주된 목적을 가지고 있다. 이를 위하여 본 연구에서는 2005년 및 2010년 전국 163개 시 군을 대상으로 실증분석을 수행하였다. 분석의 결과를 종합하면 다음과 같다. 규모기반은 제조업에 큰 영향을 미치는 것으로 나타났으며, 네트워크 기반은 주로 서비스업에 영향을 미치는 것으로 나타났다. 또한 시기의 흐름에 따라, 규모기반이 미치는 영향은 과거에 비해 점차 감소하는 반면, 네트워크기반이 미치는 영향은 서비스업을 중심으로 점차 증대되는 경향이 있음을 확인할 수 있었다. 본 연구에서는 새로운 시대의 담론으로서의 네트워크 도시이론의 적용 가능성을 실증적으로 분석하였다는 측면에서 그 의의를 갖는다고 할 수 있겠다.

• 유통과학연구
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• 제15권6호
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• pp.13-24
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• 2017

Purpose - The current study aims to examine the effect of social network factors on travel agency employees' occupational outcomes such as job performance and job satisfaction through innovation behavior in a comprehensive model. Research design, data, and methodology - Based on a theory of social network, the concept of social network was assessed by three factors: a) network size, b) network range, and c) tie strength. To test the proposed hypotheses, structural equation modeling (SEM) was employed based on data from 197 travel agency employees in Korea. Result - The results showed that the associational activity of network size had a positive effect on innovation behavior, while the network range of network size had a significant negative effect on innovation behavior. Subsequently, innovation behavior positively influenced on job performance and job satisfaction, respectively. Conclusions - The results offer some insights into the extended model and have important managerial implications for Korean travel agencies. More specifically, considering diverse domains of social network and organizational research, this study advances critical utility of social network factors in a high facilitating level of innovation behavior, which can help travel agency employees promote their job performance and job satisfaction.

• 정보관리학회지
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• 제30권3호
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• pp.133-156
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• 2013

본 연구에서는 계획된 행동이론을 적용하여 SNS 이용에 대한 태도, 주관적 규범, 지각된 행동통제가 SNS 이용에 어떠한 영향을 미치는지를 분석하고, SNS 이용이 결속적 네트워크와 교량적 네트워크라는 사회적 네트워크 유형에 각각 어떠한 영향을 미치는지를 분석하고자 하였다. 이들 간의 관계에서 성별에 따른 조절효과를 검증하였다. 이를 위해 SNS의 주 이용계층인 20~30대 이용자들을 대상으로 한 설문조사를 토대로 실증분석을 실시였다. 구조방정식에 의한 가설검증 결과, SNS 이용에 대한 태도와 주관적 규범, 그리고 지각된 행동통제는 SNS 이용에 각각 정(+)의 영향을 미치는 것으로 나타났다. 또한 SNS 이용은 결속적 네트워크, 교량적 네트워크에 각각 유의미한 정(+)의 영향을 미치는 것으로 나타났다. 성별에 따른 조절효과를 분석한 결과, SNS 이용 영향요인과 SNS 이용 간에는 성별에 따른 유의한 차이가 없는 것으로 나타났지만, SNS 이용과 사회적 네트워크 유형 간에는 성별에 따른 유의한 차이가 있는 것으로 분석되었다. 이러한 분석결과를 토대로 본 연구에서는 SNS 이용과 사회적 네트워크에 관한 이론적 실천적 함의를 제시하였다.

• 경영과학
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• 제32권4호
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• pp.81-96
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• 2015

This paper models knowledge diffusion on an inter-organizational network. Based on literatures related to knowledge diffusion, the model considers critical factors that affect diffusion behavior including nodal property, relational property, and environmental property. We examine the relationships among network structure, knowledge search, and diffusion performance. Through a massive simulation runs based on the agent-based model, we find that the average path length of a network decreases a firm's cumulative knowledge stock, whereas the clustering coefficient of a firm has no significant relationship with the firm's knowledge. We also find that there is an interaction effect of network structure and the range of knowledge search on knowledge diffusion. Specifically, in a network of a larger average path length (APL) the marginal effect of search conduct is significantly greater than in that of a smaller APL.

• 한국시스템다이내믹스연구
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• 제9권1호
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• pp.73-92
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• 2008

Internet portal sites have served customers for more than a decade in Korea. There have been several such sites have survived, succeeded and led the internet industry. What is the source of their competitiveness? We assumed that the network effect, which can vary dynamically, is an important factor; so we tried to build and analyze a system dynamics model on portal sites that represent their advertising business model. This model includes not only the network effect, but also customer's' expectations of the quality of portal sites, which also varies dynamically. As a result of our research, we can state that the network effect is important to stabilize and increase portal sites' quality, market share, income and cash flow. And we know that investment at a level above that which is merely required is necessary to preserve and stabilize their business.

• 한국IT서비스학회지
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• 제10권1호
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• pp.47-64
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• 2011

In the IT(Information Technology) service, which supply the solutions related to business management and IT, network construction and application trends, the related service business are increasing according to the enlargement of project scope and the diversity of project types as the need of service customers. In this paper, I propose the significant effect factors on the network management of IT service firms. The key findings are from the analysis result about 94 IT service firms as follows. For implementation the high performance of network management in the IT service firms, the strategic elements in the process of network construction are more conceived highly than the basic element in them. Also the perspective of project objectives are considered than the nominal perspectives in the partner selection process. The competency of partner firms', the cooperation process between the partner firms', network relation operation management and network relation structure management are the significant effect factors of network management.

• 대한원격탐사학회지
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• 제18권3호
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• pp.155-162
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• 2002

Neural networks have been focused on as a robust classifier for the remotely sensed imagery due to its statistical independency and teaming ability. Also the artificial neural networks have been reported to be more tolerant to noise and missing data. However, unlike the conventional statistical classifiers which use the statistical parameters for the classification, a neural network classifier uses individual training sample in teaming stage. The training performance of a neural network is know to be very sensitive to the discrepancy of the number of the training samples of each class. In this paper, the effect of the population discrepancy of training samples of each class was analyzed with three layered feed forward network. And a method for reducing the effect was proposed and experimented with Landsat TM image. The results showed that the effect of the training sample size discrepancy should be carefully considered for faster and more accurate training of the network. Also, it was found that the proposed method which makes teaming rate as a function of the number of training samples in each class resulted in faster and more accurate training of the network.

• 벤처창업연구
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• 제11권3호
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• pp.87-96
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• 2016

본 연구의 목적은 창업자의 사회적 네트워크의 유대관계의 강도와 다양성이 창업성과에 어떠한 영향을 미치는지 알아보고, 창업자의 창업 경험이 사회적 네트워크와 성과간의 관계에 미치는 영향을 알아보고자 한다. 연구의 가설 검증을 위해 창업자 및 창업기업에 종사하는 구성원을 대상으로 설문조사를 실시하였고 PLS를 통한 경로분석을 실시하였다. 실증적 연구 분석결과 사회적 네트워크의 유대정도는 생산적 성과에 직접적인 영향을 미치지만 창의적인 성과에는 영향을 미치지 않았다. 반면 사회적 네트워크의 다양성은 생산적 성과에 영향을 미치지 않지만, 창의적인 성과에 긍정적인 영향을 미치는 것으로 나타났다. 창업경험의 조절효과는 네트워크의 유대정도와 창업 성과 간의 관계에서 유의하게 나타났으며 사회적 네트워크의 다양성과 성과간의 관계에는 영향을 미치지 않는 것으로 나타났다. 본 연구 결과를 통해 창업가의 사회적 네트워크와 창업경험의 중요성을 인지하고 창업성과를 위한 효율적인 사회적 네트워크 활용을 제시하고자 한다.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.545-553
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• 2020

Although networking behavior is an effective job search method to students, far too little attention has been paid to mechanisms explaining the antecedents and networking behavior. The goal of this study was to demonstrate the effect of the HEXACO personality dimensions on graduated students' job search networking behavior through their network size. A survey of 773 participants was conducted to assess personality traits, network size, and networking behavior. All constructs in the study were measured by 5-point Likert scales. This study employed a structural equation model to examine the proposed conceptual model and the correlations among variables. Results showed that the personality of emotionality negatively influence students' network size, while extraversion and agreeableness are positively associated with the scope of their social network. Second, the findings confirmed that network size is directly related to the level of looking-for job behavior, particularly networking behavior. Finally, our results explored that network size played the mediating effect on how personality traits affect networking behavior. These findings suggest that network size is a dynamic mechanism that helps to understand the correlation between personality traits and job search networking behavior. The theoretical and practical implication of the study, as well as the future research direction were discussed.

• 한국시스템다이내믹스연구
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• 제8권2호
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• pp.5-23
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• 2007

According to the system dynamics model of this study, if there is a significant network effect on vehicle operating costs, it is difficult to achieve the shift to AFV even in the long term without a policy intervention because the car market is locked in to the current structure. Network effect can be caused by an increasing return to scale in fuel supply sector as well as in maintenance service sector. It is also related to the fact that the reliability and awareness of consumers on new products increases with the growth of the market share of the new products. There are several possible policy options to break the 'locked in' structure of car market, such as subsidy on vehicle price (capital cost), subsidy on fuel (operating cost) and niche management policy. Combined policy options would be more effective than relying on a single policy option to increase the market share of AFV.