• Proceedings of the KWS Conference
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• 1990.11a
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• pp.50-54
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• 1990

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.5
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• pp.79-94
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• 2021

Despite the importance of the supply chain risk due to the negative word-of-mouth (NWOM) in social media, related research is insufficient. Thus, this study analyzes how the NWOM of the product is distributed through social media and the characteristics of the distributor based on social exchange theory. For this purpose, we collected information on car recalls from four companies using Twitter from the National Highway Traffic Safety Administration (NHTSA). Based on the Seed Tweet, a Re-Tweet (RT) network was constructed to examine the distribution and spread of NWOM, and regression analysis was performed to test the hypothesis. As a result, it was confirmed that NWOM is a small world network structure that spreads around hub users connected to many users. Moreover, it was found that the more interactive and reciprocal relations the first distributor has, the greater the speed and scale of distribution of NWOM.

• The Journal of Society for e-Business Studies
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• v.20 no.3
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• pp.11-28
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• 2015

Due to the mobil-centered lifestyle following the wider use of Smartphones, Mobile services, including mobile banking and mobile shopping business have increased rapidly. Also with the emergence of "Fintech", which finance combined with technology, IT based financial market is going to be highly promising. In this trend, interests mobile credit cards are increasing. But diffusion of the mobile credit card services is still in the low level. In this situation, to identify factors that influencing satisfaction and continuous usage intention on mobile credit card, this study applied innovation diffusion theory (IDT) and post acceptance model (PAM). To conducting this research, survey data were collected, and we used SmartPLS to analyze survey data. As a result of the study, perceived easy of use, image, compatibility and facilitation positively affect user's satisfaction in mobile credit cards and that such satisfaction have a positive impact on continuous intention to use. The facilitation influences user satisfaction more strongly for those who use mobile credit cards more than plastic credit cards. Also, perceived of use and image influence user satisfaction more strongly for those who use plastic credit cards more than mobile credit cards. It is expected that this study can be a guideline for credit card service providers and policy makers to invigorate mobile credit card business. Also it worths as a early-stage research on Fintech-related studies.

• Journal of Korea Port Economic Association
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• v.34 no.3
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• pp.159-182
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• 2018

The purpose of this study is to increase the competitiveness of big data in the maritime port organization, by understanding the expected performance and the intention to accept and use big data. In the empirical analysis of factors affecting the intention to use the big data technology for maritime port organizations, the variables employed are based on the Technology Organization Environment(TOE) and Diffusion of Innovations(DOI) theories, which are related to the acceptance of information and communication technologies. To achieve the objective of this study, an empirical analysis was conducted; this analysis targeted the personnel involved in the department of strategic planning and information technology in the related field. We set up eight hypotheses to examine the relevance between variables having three characteristics-technology, organization, and environmental characteristics. The empirical results are summarized as follows. First, it was seen that the technology characteristic, including relative advantage, complexity, and compatibility, has a significant effect on the expected performance. Second, the top management support of the organization characteristic has a significant effect, but the firm size of this characteristic has no significant effect on the expected performance. Third, the competitive pressure of the environment characteristic has a positive effect on the expected performance, while the regulatory support has no significant effect. Finally, the expected performance has a significant effect on the intention to use big data.

• Applied Chemistry for Engineering
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• v.10 no.4
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• pp.608-614
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• 1999

The counter-diffusion of aromatic compounds such as coronene and tetra-phenylporphine by injection of acetone or tetra-phenylporphine solution was studied on aluminas and silica-alumina used widely as catalysts support. The counter-diffusivity was determined from simulation results by using the counter-diffusion model employing ideal adsorbed solution theory. The counter-diffusivities of aromatic compounds in the catalyst supports were ranged in ${\sim}10^{-15}m^2/sec$ in the desorption process by the injection of excess acetone. In the counter-diffusion process with tetra-phenylporphine solution which have similar concentration with adsorption solution, the counter-diffusivities of coronene were also ${\sim}10^{-15}m^2/sec$, and that of tetra-phenylporphine into pores were determined as ${\sim}10^{-11}m^2/sec$. The counter-diffusivities of coronene desobed from the adsorbent were significantly redyced in comparison with the effective diffusivities when there is counter-diffusion flux. The values mainly depended on the existence of counter-diffusion flux, but not concerned with the species and amount of desorbates.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.101-115
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• 2009

This study analyzed the diffusion process of digital convergence products focused on camera phon to compare the traditional adoption-diffusion model with use-diffusion model proposed by Shih and Venkatesh(2004). The results suggested that observability, perceived usefulness, innovativeness, relative advantage have effects on the intention of repurchase in the adoption-diffusion model. On the other hand, the intention of repurchase has been affected by technological sophistication, satisfaction, innovativeness, relative advantage in the use-diffusion model. These results imply that the traditional adoption-diffusion model could be applied to the cases of the digital convergence products. In addition, the results also show that the use-diffusion model is superior to the traditional model in analyzing the diffusion of digital convergence products.

• Korean Journal of Agricultural and Forest Meteorology
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• v.15 no.4
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• pp.201-209
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• 2013

The spread and expansion of pests and pathogens due to climate change have caused considerable reduction of rice yield in agricultural landscapes. This study was conducted to quantitatively analyze the spread of rice pathogens carried by insect pests on spatial network in South Korea using graph-theoretic methods. We identified the connectivity "backbone" of pathogen spread network among the cities along the coastal area of West Sea. In addition, we graphically represented 1) the core areas that can cause local and regional outbreaks of pathogens; and 2) the areas that act as bottlenecks in the spread of pathogen which can link the core areas. Especially, the cities in the coastal areas of West Sea that have the high density of rice crops, represented a low spread resistance to pathogen infection. These results may suggest insights into planning the integrated pest management possibly through regional collaboration.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.656-663
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• 2007

최근 인터넷 공간에서 사용자가 직접 만들어 내는 컨텐츠, 즉 UCC (user created contents, 이하 UCC)에 대한 관심이 그 어느 때보다 증가하고 있다. UCC란 기존의 온라인 컨텐츠 제공업자와 달리 일반 사용자에 의해 만들어져 게시판과 같은 도구를 사용하여 온라인 상에 존재하였다. 그런데 UCC 가 최근 들어 더욱 관심을 받고 있는 이유에는 사용자들이 직접 컨텐츠를 만들어 개제하는 것이 용이하도록 변화된 환경의 조성 및 컨텐츠 제작을 쉽게 할 수 있는 저작도구가 지속적으로 만들어지고 확산되었기 때문이다. 결과적으로 사용자 측면에서는 다른 사람들과 소통하는 통로가 확대되었고, 사업자 측면에서는 보다 컨텐츠를 풍부하게 확보할 수 있는 환경이 열린 것이다. 본 연구는 구비문학의 이론을 통하여 UCC의 활성화에 영향을 미치는 요소를 탐색적으로 살펴보는 것을 목적으로 한다. 구비 문학은 텍스트를 향유하는 사람들 사이에서 공유되는 이야기로서 그 생산 환경의 매커니즘과 텍스트의 발전 양상이 UCC와 매우 유사하다. 따라서 본 연구에서는 자료의 분석과 이론적 모형의 수립 과정 전반에 있어 구비 문학의 이론과 접근 방법을 사용하였다. UCC가 매우 활발하게 생산되는 주제를 선정하여, 그 주제에 해당하는 커뮤니티의 특성, 사용자들 간의 관계, 사용자 정책 등 차이가 있는 세 온라인 커뮤니티를 선정하였다. 선정된 온라인 커뮤니티의 게시판의 포스트와 댓글을 프로그램을 통하여 수집하고 분석하였으며, 그 분석된 데이터를 바탕으로 사용자를 선정하여 심층 인터뷰를 진행하였다. 심층 인터뷰 데이터는 근거이론은 이용하여 분석하였다. 본 연구의 결과는 UCC 확산이라는 새로운 인터넷 패러다임 속에서 이를 구비 문학의 이론으로 분석했다는 점에서 학문적 의의가 있다. 또한 성격이 다른 세 개의 사이트에서의 UCC를 비교함으로써 UCC를 기반으로 한 사이트 설계의 가이드 라인이 될 수 있는 실용적 의의를 가진다.

• Journal of Science and Technology Studies
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• v.15 no.1
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• pp.109-143
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• 2015

For continuous and successful innovation, changes in innovation system are required and have been magnified as a new controversy. With high public interest in changes of innovation system, Transition theory and policy in Netherlands are now attracting attentions of many researchers and policymakers. Transition policy in Netherlands is distinguished from existing policies for fundamental system change in that take remarkably different views and methods. Typical examples of transition in Netherlands are such as sustainable energy transition, biodiversity and natural resource transition, sustainable agriculture transition, and sustainable transportation. Transitions in Netherlands are still in the early stage of it but several positive effects are witnessing. However some problems - linking theory and practice, ambiguity of transition concept, linking long-term vision and short-term, resistance of existing regime, implementation problem, diffusion of support, etc.- to be tackled are still remaining. In spite of those problems, many lessons can be drawn from them. To guide structural changes in innovation system into the right path and cope with lock-in problem by existing system and regime, we need to learn from Transition theory and policy in Netherlands.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.171-179
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• 2017

This study explored an appropriate research model that could explain and predict the spread of fintech, a new financial services in Korea. We reviewed two theoretical frameworks, theory of planned behavior(TPB) and technology acceptance model(TAM), which are frequently cited to explain human behavior and new technology adoption, respectively. Then, we proposed a decomposed theory of planned behavior(DTPB) as a research model and examined the model through PLS path modeling. As a result, every path except PEOU-ATT path in TAM is significant, and the explanatory power toward behavioral intention(R2=0.573) is also significantly greater in the proposed model. Accordingly, the proposed DTPB is appropriate to explain the spread of fintech in Korea. Finally, suggestions for the following studies are discussed.