• Journal of Korea Technology Innovation Society
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• v.13 no.2
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• pp.332-364
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• 2010

External linkages affect the performance of small and medium enterprises in diverse ways. This study delves into the impact of inter-organizational collaboration by looking at different facets of performance, such as innovation, sales growth, profit growth, and firm survival. In addition, it explores the influence of informal knowledge spillover from collaborative partners as well as from formal collaborations. The impact is carefully investigated by dividing firm samples into three different sectoral innovation categories: supplier-dominant, production-intensive, and science-based sector suggested by Pavitt (1984). The result highlights the different influence pattern of collaborative relations by partner types according to sectoral categories. The positive results of collaborating with universities and public institutions are identified, and the sales growth by customer linkage is witnessed. The impact is apparent in science-based sectors. The result implies that the risk associated with collaborating with competitors may be moderated by linking performance enhancing collaborative linkages with universities and government institutes.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.59-80
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• 2023

Traditional models for categorizing researcher types have mostly utilized research output metrics. This study proposes a new model that classifies researchers based on the characteristics of research collaboration. The model uses only research collaboration indicators and does not rely on citation data, taking into account that citation impact is related to collaborative research. The model categorizes researchers into four types based on their collaborative research pattern and scope: Sparse & Wide (SW) type, Dense & Wide (DW) type, Dense & Narrow (DN) type, Sparse & Narrow (SN) type. When applied to the quantum metrology field, the proposed model was statistically verified to show differences in citation indicators and co-author network indicators according to the classified researcher types. The proposed researcher type classification model does not require citation information. Therefore, it is expected to be widely used in research management policies and research support services.

• Journal of Fashion Business
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• v.16 no.1
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• pp.160-179
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• 2012

One of the representative local cultures in Gyeongnam is Gaya culture. This research aim s to develop fashion cultural goods design applying Gaya relics. Based on the study on cu ltural character, formative characteristics of relics, and questionnaire survey on cultural reco gnition and fashion cultural goods purchasing status of Gaya, the plan of Gaya fashion cul tural goods design was made and progressed. To develop design pattern, TexPro Design CAD was used. As to selection of relics to extract motif, Mounted vessel in the shape of warrior on horseback, Chariot wheel-shaped Pottery, Armor and Shield were selected. The main concept of design was 'Timeless Images of Gaya' to re-illuminate a long forgotten p eriod of Gaya, and to create modernization image of ancient period into modern living. By using oring image scale of IRI C or Lab, the 4 main themes of 'Timeless Images of Gaya' including 'Romantic Gaya', 'Dynamic Gaya', 'E -friendly Gaya', 'Modern Gaya' were constructed. According to the 4 themes, basic pattern, repeating pattern, application patter n were developed. And applied cases were developed to seek reality of design in the fashi on cultural goods. Also web page was constructed to develop educational and industrial accessibility and utilization in collaboration with design patterns and fashion cultural goods ap plying cases.

• International Journal of Knowledge Content Development & Technology
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• v.12 no.1
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• pp.17-34
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• 2022

This informetrics study was conducted to find out the distribution of articles and authors that published in African Journal of Library, Archives and Information Studies [AJLAIS]) from 2009 to 2018; considering the year-wise growth of research articles; authorship pattern and collaboration ratio; subject and geographical distributions of authors; and authors' productivity level. A descriptive informetrics research design was adopted. Quota sampling technique was used to select all the articles published within the ten-year period. Data collected through a self-designed checklist was analyzed using frequency count and percentage. The findings revealed that 141 articles, contributed by 266 authors were published by AJLAIS during the period. An annual average growth of 1.20% was recorded. Overall year-wise authorship pattern revealed that majority of articles (62.41%) published in AJLAIS were multiple authored. Also, articles on Informetrics and ICT dominated the journal. Some subject areas not covered were identified such as: indexing and serial collections management. Average collaborative index across the 10-year period for the journal was 0.62. South Africa and Nigeria were the two major prolific contributors to AJLAIS, just as evidence-based research papers of survey type (65.25%) were the most common to the journal. There should be increased numbers of articles in each edition over the coming years, and awareness should be created by the publishers to familiarize the researchers with the publishing requirements of the journal. Also, LIS researchers should concentrate more on areas usually left untouched by previous studies. The study is original as no other similar study was found on publication pattern of articles in AJLAIS covering a ten year period of 2009-2018. The findings of the study will also serve as a feedback mechanism for the Publisher of the Journal and LIS researchers on how to improve the journal and LIS research in general.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.43-52
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• 2014

It becomes to be essential for firms to build up collaboration ecosystem with diverse entities and to be common for firms to absorb knowledge from external environment for their innovation. Companies try to transfer technological or knowledge asset to other firms through open innovation. The purpose of this research is to suggest the role of universities in University-Industry Collaborations besides research collaboration and we focus on the role of university to strengthen the regional business ecosystem network. For this research, we analyze a specific UIC(University Industry Collaboration) program called as "Business Clinic Day" which provides a consulting service for firms, especially, SMEs with a specific problem by a group of consultants including CEOs, professors, and heads of regional public or private service providers. Then we studied how the business network has changed after the program with network analysis. Also, we try to find out the main pattern of network structure extension of business ecosystem with interview. This study illustrates that changing types of network are formed between university and SMEs by clinic day. The result shows that not only new role as a network promoter, but also the partner as a technology-provider in the regional business ecosystem.

• Fashion & Textile Research Journal
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• v.21 no.4
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• pp.420-431
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• 2019

This paper evaluates the potential of dynamic graphical patterns in future-driven fashion design using computer graphics that enables changes to the visual appearance of a textile for aesthetic, expressive or communicative purposes. In particular, it focuses on experimenting with the possibility of creating digitalized dynamic fashion garments that are illustrated digitally using motion graphics developed collaboratively in a virtual space. Three objectives were formed and addressed. First, a dynamic graphical pattern was defined that also investigated the cases of tangible and virtual dynamic patterns in textiles and garments to identify current situations and future prospects in terms of functional techniques and expressive effects. Ten digital fashion illustrations were then created in collaboration with a group of graphic designers and motion artists to visualize dynamic graphical patterns changing over time. Four types of dynamic fashion illustrations were also introduced in their methodological and expressive aspects. Last, some findings resulted from digital works that led to implications for future studies on tangible dynamic fashion designs. This study proposed that computer graphics and digital imaging technologies integrated into a virtual fashion that creates eye-catching and futuristic dynamic fashion designs that can customize colors and patterns according to the desires of wearers or users.

• International Commerce and Information Review
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• v.11 no.3
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• pp.125-144
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• 2009

The purpose of this study is to research the investment environment of Vietnam and analyze the actual investment state of Korean enterprises in Vietnam and seek for the points at issue. In general, the investment environment in Vietnam shows both a positive side and negative side. However Vietnamese market is a attractive one as ever for direct investment of Korean enterprises considering their constant economy growth, investment increase of foreign company for Vietnam, China risk. And the point at issue in investment of Korean Enterprises is as follows. That is, inclining to manufacturing, preference of independence investment, small-sized investment by small and medium enterprises, preference of greenfield investment, restricted purpose of investment, insufficiency of infrastructure for logistics, electric power, legal system. The results of the study indicate mainly that the investment of Korean enterprise into Vietnam needs a switchover of the third service trade-tertiary industry, collaboration with Vietnamese enterprise through joint venture investment, a large-scale investment for Vietnam domestic market and neighboring countries' market, practical use of M&A with existing Vietnamese enterprise and diverse purpose for investment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2690-2701
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• 2013

Humans are able to recognize small number of people they know well by the way they walk. This ability represents basic motivation for using human gait as the means for biometric identification. Such biometric can be captured at public places from a distance without subject's collaboration, awareness or even consent. Although current approaches give encouraging results, we are still far from effective use in practical applications. In general, methods set various constraints to circumvent the influence factors like changes of view, walking speed, capture environment, clothing, footwear, object carrying, that have negative impact on recognition results. In this paper we investigate the influence of walking speed variation to different visual based gait recognition approaches and propose normalization based on geometric transformations, which mitigates its influence on recognition results. With the evaluation on MoBo gait dataset we demonstrate the benefits of using such normalization in combination with different types of gait recognition approaches.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.537-541
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• 2003

The synchronization of production-delivery artivities is one of crucial factors to get competitive collaboration benefits between the manufacturer and the retailor(s). There were several researches to study on He optimal delivery policy to minimize the total cost of integrated system of both manufacturer and retailor(s). In this research, we investigate the joint optimal shipment policy in case that a manufacturer produces multiple products sharing a single production facility in the manufacturer side and retailor(s) deploys JIT delivery pattern with equal-size shipment policy. We formulate this problem as a form of 'Common Cycle Approach' in classical ELSP (Economic Lot Scheduling Problem) and provide simple optimal solution procedure.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.2 no.3
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• pp.135-149
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• 2008

Traditional attack detection schemes based on packets or flows have very high computational complexity. And, network based anomaly detection schemes can reduce the complexity, but they have a limitation to figure out the pattern of the distributed global scale network attack. In this paper, we propose an efficient and fast method for detecting distributed global-scale network attack symptoms in high-speed backbone networks. The proposed method is implemented at the aggregate traffic level. So, our proposed scheme has much lower computational complexity, and is implemented in very high-speed backbone networks. In addition, the proposed method can detect attack patterns, such as attacks in which the target is a certain host or the backbone infrastructure itself, via collaboration of edge routers on the backbone network. The effectiveness of the proposed method are demonstrated via simulation.