• Title/Summary/Keyword: Cluster Success Factors

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A Study on the Success Factors of Bio Cluster : Focused on the Development of Integrated Framework

  • KIM, Gyu-Bae;KIM, Kyung-Keun;CHUNG, Seung-Hwan
    • East Asian Journal of Business Economics (EAJBE)
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    • v.8 no.2
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    • pp.29-41
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    • 2020
  • Purpose - This study incorporated the success factors of bio cluster and provided the ways to utilize them for managing the performance of bio cluster. The aim of this study was to present an integrated framework for the success factors of the bio cluster by combining the literature and case studies, and to measure and manage the performance of the bio cluster. Research design, data, and methodology - This study combined the literature review with the case study. We reviewed the literature on the success factors of the bio cluster presented by existing studies. We studied some cases of how these factors are actually applied in the bio cluster also. We integrated the success factors of bio cluster based on both the literature review and the case study. Results - The success factors of the bio cluster presented in this study as an integrated framework were defined as six factors: knowledge base and expertise, industrial infrastructure, funding and investment, government support, start-up activities and innovation activities. These success factors can be measured and managed by some performance indicators of each factor. Conclusions - Through this study, we can identify the integrated success factors of the bio cluster and understand how these factors work in bio cluster. In addition, this integrated framework of success factors will be effectively utilized to measure and manage the performance of the bio cluster.

Value Structure Model of the Success Factor of ITO Transition (ITO 이행단계 성공요인에 대한 가치체계모형 연구)

  • Cha, Hwan-Ju;Kim, Ja-Hee
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.1
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    • pp.21-39
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    • 2016
  • Although the demand for IT outsourcing (ITO) has increased recently because of the recent recession, concerns about business discontinuity in the transition phase cause companies to hesitate to adopt ITO. Therefore, a guideline to improve the prospects is needed. However, studies on the success factors of the transition phase in ITO are lacking. In this study, we develop an expert hierarchical value map (HVM) of the success of the transition phase in ITO by using cognition scientific methodologies. We empirically verify how success factors affect the success of the transition phase. Specifically, we derive an HVM of main stakeholders by using in-depth interviews and approaches, such as repertory grid technique (RGT) and laddering, based on means-end chain theory. We validate the success factors empirically through a bipolar analysis of RGT. Finally, we determine the most important cluster of success factors through cluster analysis.

Impact of Success Factors of Knowledge Management on Management Performance in Agribusiness Cluster (지식경영성공요인이 농산업클러스터 기업의 경영성과에 미치는 영향 -순창장류산업 클러스터를 중심으로-)

  • Kwak, Yoon-Seok;Yang, Hae-Sool
    • The Journal of the Korea Contents Association
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    • v.10 no.9
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    • pp.348-362
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    • 2010
  • In the Knowledge-based economy, it is inevitable for companies to implement knowledge management(KM in short) to improve management performance. In order to better understand the KM, it is necessary to examine the relationship between success factors of KM and KM performance in agribusiness sector. This study empirically analyzes the impact of success factors of Knowledge Management on companies' management performance in agribusiness cluster. From the survey data of 43 companies located in Sunchang fermented soybean products Industrial cluster, the study finds that four factors- learning culture, network, knowledge sharing and knowledge creating- influence management performance in a positive way. It also examines whether Industrial cluster strategy functions as a moderator between KM success factors and companies' performance. Furthermore, this study concludes that Sunchang fermented soybean Industrial cluster has not reached to the final stage of KM and suggests elements for further improvements.

A Study on the Success Factors of Innovation Cluster: A Case of the Pangyo Techno Valley in South Korea (혁신클러스터의 성공 요인에 관한 연구 : 판교테크노밸리 사례를 중심으로)

  • Chung, Giduk;Im, Jongbin;Chung, Sunyang
    • Journal of Korea Technology Innovation Society
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    • v.20 no.4
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    • pp.970-988
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    • 2017
  • As an innovation cluster has become an important policy tool for attaining regional and national competitiveness, many nations and regions are making great efforts to foster innovation clusters. In the case of Korea also, many innovation clusters have been established and some of them are recently receiving a lot of attention due to their performance. In fact, there have been lots of investment by the central and regional governments. However, there have been no in-depth analyses on Korean successful innovation clusters. This study investigates some of the success factors of a Korean representative innovation cluster, Pangyo Techo Valley. We find out that the Pangyo Techno Valley has four groups of success factors: innovative environment, consistent policy support by regional government, knowledge networks, and good feed-back system of innovation. Our findings would have some theoretical and practical implications for innovation cluster research and policy practice.

Exploratory Study on the Success Factors of Rehabilitation Medical Device Cluster

  • Kim, Sung-Jin;Kim, Gyu-Bae
    • The Journal of Economics, Marketing and Management
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    • v.6 no.4
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    • pp.17-27
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    • 2018
  • Purpose - As Korea is reaching a post-aged society, the number of chronic illness is increasing, and the demand for rehabilitation medical device is growing. Although there is high potential for the growth in rehabilitation industry, because most of the related companies in Korea are relatively small, lacking capital or R&D resource, it is difficult for them to create an innovative product, and currently most of the high-tech equipments are imported. Therefore a medical device cluster, where business, research, medical institutes and universities may work cooperatively to enhance research development and solve issues is necessary for future development. Research design, data, methodology - In this method we have done a literature review of the rehabilitation industry and industrial cluster. Based on the studies, we have conducted an exploratory factor analysis by studying examples of foreign and domestic medical clusters and drawing success factors in forming a medical cluster. Next based on the studies we have conducted a survey to domestic medical device companies to find their difficulties and needs to form a successful medical device cluster. Results - This paper provides both theoretic review on success factors of forming a medical device cluster and practical analysis using case study and survey. Conclusion - The significance of this paper is that based on the literature review, we have compared actual examples of domestic/foreign medical clusters and drawn difference and coincidence between literature and actual cluster success factor. We were also able to conduct a survey on actual medical device companies and through the results we were able to search difficulties and necessities of medical device companies.

Analysis for Evaluation Factor and Success Prediction of Port Innovative Cluster Using Kohonen Network (항만혁신클러스터의 성공도 예측과 평가요소 분석)

  • Jang Woon-Jae;Keum Jong-Soo
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2005.10a
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    • pp.327-332
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    • 2005
  • This paper aims to analysis for evaluation factor and success prediction of port innovative cluster. This paper is divided three factors such ac policy, source and operation. In addition, three factors are divided into the twelve detail factors. the weight of each factor is calculated by Kohonen Network. At the result, this paper places the priority on the source factor.

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Success Factors of Game Products by Using a Diffusion Model and Cluster Analysis (확산모형과 군집분석을 이용한 게임제품의 흥행요소 분석)

  • Song, Sungmin;Cho, Nam-Wook;Kim, Taegu
    • Journal of Korean Institute of Industrial Engineers
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    • v.42 no.3
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    • pp.222-230
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    • 2016
  • As the global game market has been more competitive, it has been important to analyze success factors of game products. In this paper, we applied a Bass Diffusion Model and Clustering Analysis to identify the success factors of games based on data from Steam, an international game platform. By using a diffusion model, we first categorize game products into two groups : successful and unsuccessful games. Then, each group has been analyzed by using clustering analysis based on product features such as genres, price, and minimum system requirements. As a result, success factors of a game have been identified. The result shows that customers in game industry appreciate sophisticated contents. Unlike many other industries, price is not considered as a key success factor in the game industry. Expecially, advanced independent video games (commonly referred to as indie games) with killer contents show competitiveness in the market.

Cluster or Diversify? A Dilemma for Sustainable Local Techno-Economic Development

  • Phillips, Fred;Oh, Deog-Seong;Lee, Eung-Hyun
    • World Technopolis Review
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    • v.5 no.2
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    • pp.98-107
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    • 2016
  • By highlighting the efficiencies gained from regional specialization, the cluster concept has distracted economic development officials from their traditional role of diversifying regional and local economies. Clustering was a viable strategy for much of the 18 years following its original appearance in the literature. Now, two events cast doubt on the continued viability of cluster-based specialization. First, the digital convergence has blurred the boundaries that once separated one industry from another. An industry cluster strategy becomes difficult when the industry cannot be defined. Second, many cluster initiatives fail. Combining literature search with the system-theoretic notions of efficiency and redundancy, we find many factors moderate cluster success. This implies regions facing uncertain success in their cluster-building efforts should thoroughly understand their unique circumstances and build upon them. Regions with successful clusters are advised to aim for multiple related clusters or superclusters.

A Study on the Evaluation Factor for Success of Port Innovative Cluster Using Kohonen Network (항만혁신클러스터의 성공을 위한 평가요소에 관한 연구)

  • Jang Woon-Jae;Keum Jong-Soo
    • Journal of Navigation and Port Research
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    • v.30 no.1 s.107
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    • pp.45-51
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    • 2006
  • This paper aims to analysis on evaluation factor for success of port innovative cluster. This paper is divided three factors such ac policy, source and operation In addition, three factors are divided into the twelve detail factors. From a total of 30 survey cases, 50 percent randomly selected as the training group and the other 50 percent as the validation group. cases in the training group were used in the development of the Kohonen Network The validation group was used to test the performance of this model. The major findings may be summarized as follows; The prediction accuracy rate is $73.33\%$ The weight of real root and detail factors is calculated by Kohonen Network At the result, success prediction group of port innovative cluster, this paper places the priority on the source factor.

Success Factors of UCSD CONNECT as Business Incubator (UCSD CONNECT의 기업보육 성공요인)

  • Chun, Se-Hak;Byun, Yong-Hwan
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.135-149
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    • 2015
  • The purpose of this study is, through journal review, to introduce and analyze the success factor and programs of CONNECT which have made key contributions in the construction of San diego Bio-cluster and thereby show directions business incubators in Korea should try to follow. CONNECT is a most popular bench-marking case over the world for bio-venture incubation. In this paper, core success factors and incubating programs of CONNECT are analyzed in detailed way for local govenments and incubating institutions to develop enterprise promotion policy. CONNECT is famous for its tailored services to meet the varying needs of entrepreneurs at all stages of their business life cycles and growth. CONNECT is a pioneer which provide mainly software services by using network while it provide hardware supports like space at minimun level. CONNECT has provided early stage corporations with diverse software services on which business incubators in Korea should have focus Since its inception, CONNECT has assisted more than 800 technology companies. Leadership of policy makers, network and software services have been key success factors of UCSD CONNECT.