• Knowledge Management Research
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• v.17 no.1
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• pp.49-72
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• 2016

Extant research on firm innovation productivity is limited in measuring the innovation productivity, in which they measured firm innovation productivity by using either inputs or outputs of innovation. The present study complemented the extant research by employing Data Envelopment Analysis (DEA) approach to measure firm innovation productivity. Furthermore, this paper examined the effects of firms' external knowledge search, as one of open innovation practices, on firm innovation productivity, for open innovation activities are regarded as an influencing factor on firm innovation productivity in the previous literatures. Using the data of the Korean Innovation Survey (KIS) of manufacturing industries conducted in 2008, this study developed hypotheses in which we considered not only two dimensions of external knowledge search (breadth and depth) but also two subtypes of external knowledge search (market-driven and science-driven). The results found that searching deeply and market-driven search are positively related to firm innovation productivity, but science-driven search is somewhat negatively related to firm innovation productivity. Furthermore, market-driven search can mitigate the negative effect of science-driven search on innovation productivity.

• Journal of Information Technology Applications and Management
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• v.20 no.2
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• pp.39-56
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• 2013

There have been many studies that open innovation activities have positive effects on firm performance. However, the previous studies have shown conflicting results, depending on the characteristics of companies or the timing of the product launch. This study empirically compares open innovation performance of first-mover companies and follower companies. The analyses are performed on the samples of the Korean Innovation Survey 2010 companies that explored external information and performed R&D cooperation. The results indicate that open innovation activities can have different effects depending on a company's status in the market. For the first-mover companies, the intensity of utilizing external information has greater impact on the firm's performance than the diversity of it. By contrast, for the follower companies, the diversity of utilizing external information has greater impact on the firm's performance than the intensity of it. In terms of R&D cooperation, the external cooperation is found not to have significant effects on a first-mover company's performance. However, external R&D cooperation of a follower company is showing positive impact on the firm's performance. The implication of the study is to analyze the firm's Open-Innovation performance by comparing first-mover companies with follower companies. Therefore, companies need to execute the Open-Innovation strategy by considering firm characteristics or the timing of the product launch.

• Knowledge Management Research
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• v.14 no.3
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• pp.87-100
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• 2013

As the external knowledge networks of firms have become more and more important to their product and service innovations, many global leading companies such as P & G, IBM, and Samsung Electronics have formulated and implemented their open innovation strategy. This study attempts to empirically analyze the effects of CEOs' supports for external knowledge networks, external knowledge network-oriented cultures and inter-organizational knowledge management systems as the major antecedents to external knowledge networks by using the data based on organizational members' perceptions about them. Based on 847 samples collected from employees in three companies in the medical, the construction and the IT service industries, this study performed a structural equation modeling (SEM) analysis about the effects of the antecedents to the external knowledge networks on product and service innovations through Partial Least Squares (PLS). The empirical findings of this study show that CEOs' supports for external knowledge network positively influence product and service innovations, partially mediated by external knowledge network-oriented cultures and inter-organizational knowledge management systems. And they also show that external knowledge network-oriented cultures and inter-organizational knowledge management systems have a positive effect on product and service innovations, respectively, partially mediated by external knowledge networks. With these new findings, academic and practical implications are discussed.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.2
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• pp.147-165
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• 2012

Recently, the theory of open innovation emerges as a new innovation paradigm. This paper aims to examine open innovation activities of SMEs. Many firms tend to search new knowledge from various external sources and to pursue to achieve innovation resources or knowledge of external innovators. Particularly, this paper focus on the process of external knowledge networking and open innovation occurred in the process of technology innovation. The data used in this study were those that had been collected for total 3,400 sample SMEs that had conducted R&D. and in-depth interviews were conducted with 14 SMEs located at Chungbuk-Technopark. Empirical findings can be summarized as follows; SMEs tend to search new knowledge from various external sources and to pursue to achieve innovation resources or knowledge of external innovators, because they have lack of innovation resources. therefore, the conducting of open innovation affected positively the innovation performance of SMEs. In addition, empirical findings also indicated that expanding flexibility of labor market enhances open innovation activities of SMEs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.78-84
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• 2017

Because the 'Internet of Things' and sensor network technology have become a new generation industry competitiveness with a development of Information Communication Technology, each local autonomous entity is trying to adopt a Smart City quickly. This requires an integrated platform inside of a smart city operation center. Established Smart City platform provides various services using CCTV information and ITS transportation information based on a two-dimensional map. The provision of advanced Smart City services will necessitate three-dimensional map information, building and facilities unit information, linked information with public data portal for service to the public. In this paper, the authors reviewed development trends of Smart City integrated platform and proposed mashup methods between BIM/GIS interoperability platform and external open data. BIM/GIS platform can provide spatial information services for indoor and outdoor seamlessly because it was developed based on GIS spatial data with BIM data. The linked external open data are V-World data, Seoul Open Data, and Architectural Data Open. Finally, the authors proposed the direction of development for BIM/GIS integrated platform to provide advanced Smart City services.

• ETRI Journal
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• v.42 no.2
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• pp.196-204
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• 2020

Open-source software development projects are well suited for exploring new ideas and acquiring knowledge from developers outside of the project. In this paper, we examine the impact of external developers on innovation in open-source software development from the perspective of organizational learning theory. We examine the roles of external and internal developers, who "explore" and "exploit," respectively, on the innovation performance of 17 691 open-source software development projects whose data is stored in the GitHub platform. The results indicate that a multifaceted strategy, in which the exploitation successfully supports the exploration, is most effective for their success. The results also indicate that the role of exploration decreases after the release of the software.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.39 no.8
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• pp.702-710
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• 2011

This paper aims to verify the applicability of OpenFOAM, the widely recognized open source CFD code, to external flows commonly found in aeronautical problems. To this end, several representative flow cases are selected first from subsonic to supersonic flow fields. Then, the computational results obtained from OpenFOAM are systematically compared against available data from experiments and other numerical codes. It was found that the strength and location of shock are well predicted and the effects of boundary conditions on the computed results are reviewed. Subsonic flow with massive separation is selected to validate the prediction capability of OpenFOAM. Based on the current results, the limitation and possibility of OpenFOAM was confirmed and for future study using OpenFOAM was suggested.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.49 no.2
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• pp.85-92
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• 2000

30 kVA rotating-field type Super-Conducting Generator is built and tested with intensive FE(Finite Element) analysis. The generator is driven by VVVF inverter-fed induction motor. Open Circuit Characteristic(OCC) and Short Circuit Characteristic(SCC) are presented in this paper. Also, the test result under the light load(up to 3.6 kW) are given. From the design stage, 2-D FE analysis coupled with the external circuit has been performed. The external circuit includes the end winding resistance and reactance as well as two dampers. When compared with the test data, the FE analysis results show a very good agreement.

• Information and Communications Magazine
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• v.30 no.10
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• pp.79-85
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• 2013

By interacting with external wireless sensors, smartphones can gather high-fidelity data on the surrounding environment to develop various environment-aware, personalized applications. In this work we introduce the sensor virtualization module (SVM), which virtualizes external sensors so that smartphone applications can easily utilize a large number of external sensing resources. Implemented on the Android platform, our SVM simplifies the management of external sensors by abstracting them as virtual sensors to provide the capability of resolving conflicting data requests from multiple applications and also allowing sensor data fusion for data from different sensors to create new customized sensors elements. We envision our SVM to open the possibilities of designing novel personalized smartphone applications.

• Journal of Information Science Theory and Practice
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• v.3 no.2
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• pp.6-15
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• 2015

Since the advent of Linked Data (LD) as a method for building webs of data, there have been many attempts to apply and implement LD in various settings. Efforts have been made to convert bibliographic data in libraries into Linked Data, thereby generating Library Linked Data (LLD). However, when memory institutions have tried to link their data with external sources based on principles suggested by Tim Berners-Lee, identifying appropriate vocabularies for use in describing their bibliographic data has proved challenging. The objective of this paper is to discuss the potential role of Linked Open Vocabularies (LOV) in providing better access to various open datasets and facilitating effective linking. The paper will also examine the ways in which memory institutions can utilize LOV to enhance the quality of LLD and LLD-based ontology design.