• Title/Summary/Keyword: Industrial clusters

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A Study on Socio-technical System for Sustainability of the 4th Industrial Revolution: Machine Learning-based Analysis

  • Lee, Jee Young
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.204-211
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    • 2020
  • The era of the 4th industrial revolution is a complex environment in which the cyber world and the physical world are integrated and interacted. In order to successfully implement and be sustainable the 4th industrial revolution of hyper-connectivity, hyper-convergence, and hyper-intelligence, not only the technological aspects that implemented digitalization but also the social aspects must be recognized and dealt with as important. There are socio-technical systems and socio-technical systems theory as concepts that describe systems involving complex interactions between the environmental aspects of human, mechanical and tissue systems. This study confirmed how the Socio-technical System was applied in the research literature for the last 10 years through machine learning-based analysis. Eight clusters were derived by performing co-occurrence keywords network analysis, and 13 research topics were derived and analyzed by performing a structural topic model. This study provides consensus and insight on the social and technological perspectives necessary for the sustainability of the 4th industrial revolution.

A Study on the Developing Strategies of Knowledge based Industry in ChunChon Area for the Digital Age. (디지털시대 춘천지역 지식기반산업의 발전방안에 관한 연구)

  • Kim, Chi-Ho;La, Kong-Woo;Min, Tae-Hong
    • International Commerce and Information Review
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    • v.8 no.3
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    • pp.3-21
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    • 2006
  • This study aims to explore the developing strategies of knowledge based industry in ChunChon Area. This study suggests several strategies for promoting local development in Chunchon Area as follows ; first, building of local innovation system in chunchon area and convergence and diffusion of knowledge based industries. second, making of industrial environment suitable to developing knowledge based industries. third, the establishment of overall industrial supporting systems. fourth, expansion of industrial infra and prevention of the brain drain. fifth, transformation of industrial complex into innovation clusters. The result of this study will be useful for the chief executives officers to make more rational decision making for industrial developing strategies is related to the Knowledge based Industries. The paper also strives to provoke debate in this area with to encouraging further research on the topic.

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A Framework for Success of Industrial Clusters: The Fusion of Online and Offline Businesses (온라인과 오프라인이 융합된 성공적 산업클러스터의 프레임워크)

  • Yi Jung-Sub;Jang Hyeong-Wook
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.3
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    • pp.96-107
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    • 2006
  • This paper explores the benefits provided by the adoption and implementation of electronic commerce in a particular SME-intensive productive environment: the geographical cluster. This study develops a conceptual framework that highlights the six types of benefits obtained by integrating online business with offline business. Using data from 73 traditional companies in Korean port clusters, factor analysis was used to figure out six benefits including sharing information, cost savings, value-added service, customer relationship, enhanced trust, and marketing efficiency. The six empirically derived critical benefit factors were then used to examine how they improve management performance of the traditional offline companies in the cluster measured by Balanced Scorecard(BSC). According to the results, we concluded that the offline firms in the cluster can take advantages of extending to online business.

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Curriculum Mining Analysis Using Clustering-Based Process Mining (군집화 기반 프로세스 마이닝을 이용한 커리큘럼 마이닝 분석)

  • Joo, Woo-Min;Choi, Jin Young
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.4
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    • pp.45-55
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    • 2015
  • In this paper, we consider curriculum mining as an application of process mining in the domain of education. The basic objective of the curriculum mining is to construct a registration pattern model by using logs of registration data. However, subject registration patterns of students are very unstructured and complicated, called a spaghetti model, because it has a lot of different cases and high diversity of behaviors. In general, it is typically difficult to develop and analyze registration patterns. In the literature, there was an effort to handle this issue by using clustering based on the features of students and behaviors. However, it is not easy to obtain them in general since they are private and qualitative. Therefore, in this paper, we propose a new framework of curriculum mining applying K-means clustering based on subject attributes to solve the problems caused by unstructured process model obtained. Specifically, we divide subject's attribute data into two parts : categorical and numerical data. Categorical attribute has subject name, class classification, and research field, while numerical attribute has ABEEK goal and semester information. In case of categorical attribute, we suggest a method to quantify them by using binarization. The number of clusters used for K-means clustering, we applied Elbow method using R-squared value representing the variance ratio that can be explained by the number of clusters. The performance of the suggested method was verified by using a log of student registration data from an 'A university' in terms of the simplicity and fitness, which are the typical performance measure of obtained process model in process mining.

The Role of Gyeonggi Province in the Industrial Development of the Republic of Korea: A C ase Study of the Program of the National Innovative Cluster (한국의 산업발전과 경기도의 역할: 국가혁신클러스터 사업을 사례로)

  • Jung, Sung-Hoon
    • Journal of the Economic Geographical Society of Korea
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    • v.24 no.3
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    • pp.232-242
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    • 2021
  • The aim of this article is to examine the role of Gyeonggi Province in the industrial development in the Republic of Korea by taking a case study of the program of the national innovative cluster (NIC). In such program which has been for the purpose of the regional industrial development for non-Seoul metropolitan regions (N-SMRs) since 2018, the total firms' transactions were highly focused upon Gyeonggi Province and other Seoul metropolitan regions (SMRs). Especially, firms' transactions in 5 clusters of the total 14 clusters concentrated on Gyeonggi Province. Within this context, the future direction of this policy program for the regional industrial development and the national balanced development is more focused upon a win-win strategy between the SMR and N-SMRs rather than the dichotomy between them.

Analysis of Integration and Growth Factors for Maritime Industry -With focus on Jeollanamdo Province-

  • Kim, Un-Soo;Kim, Hwa-Young
    • Journal of Navigation and Port Research
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    • v.43 no.2
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    • pp.122-133
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    • 2019
  • The maritime industry has emerged as a new growth engine. The municipalities that own the port are trying to add value through the maritime industry. Overseas port cities are also creating maritime industrial clusters to generate profits and strengthen competitiveness. Therefore, it is very important to understand the comparative status of the domestic maritime industry by region. Based on this analysis, it is possible to establish maritime industrial clusters and strategies for integration. This study analyzed the structure of the maritime industry located in Jeollanamdo province, the southwestern part of Korea. Through the analysis of existing literature, the maritime industry was reclassified into 5 major categories, 21 subcategories, and 84 subcategories. Based on the reclassified maritime industry, the analysis of the Jeollanamdo province maritime industry was based on applying the location quotient and the shift-share analysis. As a result of analyzing the geographical location of Jeollanamdo province, other industries showed the highest value of 2.790, followed by fisheries (2.227), shipbuilding industry (1.164) and marine tourism industry (0.554). The growth effect of the maritime industry in Jeollanamdo province was 35,323 people, and net growth effect excluding national growth effect was 11,945 people. In particular, the net growth effect of the shipbuilding industry was the highest at 11,320, followed by shipping logistics (6,371) and marine tourism (1,529). On the other hand, there was no net growth effect in fisheries. The results of this study can be used as basic data for the construction of the maritime industrial cluster for Jellanamdo province in the future.

Characteristics and recent changes of the Hanbok industrial cluster in Gwangju, Korea (광주 한복산업 집적지의 특성과 최근 변화)

  • Heo, Seung-Yeun;An, Myung-Sook
    • Journal of the Korea Fashion and Costume Design Association
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    • v.21 no.3
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    • pp.161-172
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    • 2019
  • This study examines the characteristics and recent changes of the Hanbok industrial cluster in Gwangju Metropolitan City, in order to understand the problems in the activation of the Hanbok industry and to seek future policies. A total 32 companies comprise the 'Small Manufacturer Specialized Support Center of Hanbok' and were surveyed with a 41 questions with questions in four categories. The Gwangju Hanbok area has been in existence for more than 40 years and was composed of small groups of one or two manufacturers. They are experiencing the same difficulties as other Hanbok clusters, such as the aging of workers, the downturn of dress culture, and changing consumption paradigms. However, since 2015, various efforts have been made in order to seek countermeasures to cope with such difficulties, particularly with the foundation of the 'Small Manufacturer Specialized Support Center of Hanbok' with the support of the Ministry of Small Venture Business. This study focuses on the alterations in the current Hanbok industry due to the IT industrialization as well as the changes in the locations of the Hanbok clusters due to the revitalization of old towns by local governments., The results providing an opportunity to appreciate the problems therein and seek the solutions. Small manufacturers of the Hanbok cluster are trying to improve their entrepreneurship, digital technology application, and knowledge in accordance with the socio-economic trends, but they have limitations to practically apply it to business, barely keeping the minimum production base. The central government and the Gwangju should reinforce and expand the support for marketing and public relations for the Hanbok to foster the designer population, to establish mutual brands, to raise brand awareness, and to promote the technological perfection of the individual businesses, to allow them to cope with the current market trends, in order for the technological development and firm settlement of the local Hanbok industrial cluster.

Computational Approach for Biosynthetic Engineering of Post-PKS Tailoring Enzymes

  • Kim, Ki-Bong;Park, Kie-Jung
    • Genomics & Informatics
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    • v.6 no.4
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    • pp.227-230
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    • 2008
  • Compounds of polyketide origin possess a wealth of pharmacological effects, including antibacterial, antifungal, antiparasitic, anticancer and immunosuppressive activities. Many of these compounds and their semisynthetic derivatives are used today in the clinic. Most of the gene clusters encoding commercially important drugs have also been cloned and sequenced and their biosynthetic mechanisms studied in great detail. The area of biosynthetic engineering of the enzymes involved in polyketide biosynthesis has recently advanced and been transferred into the industrial arena. In this work, we introduce a computational system to provide the user with a wealth of information that can be utilized for biosynthetic engineering of enzymes involved in post-PKS tailoring steps. Post-PKS tailoring steps are necessary to add functional groups essential for the biological activity and are therefore important in polyketide biosynthesis.

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.

An Applied Study of the Analytic Network Process to Assess Country Conditions for Korean Steel Exports

  • Cho, Keun-Tae;Hong, Soon-Wook
    • Journal of the Korean Operations Research and Management Science Society
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    • v.23 no.3
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    • pp.209-233
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    • 1998
  • In this study, we demonstrate how the Analytic Network Process (ANP) model which is combined with Michael Porter's diamond framework can be used for assessing conditions of selected countries : Brazil. India and China for Korean steel exports. The problem of assessing country conditions requires a model that evaluates several factors on different dimensions. Those dimensions are needed for ranking them according to their likeliness of being a target for Korean steel exports. The ANP consists of four kinds of dimensions called control hierarchy : benefits, opportunities, costs, risks, each of which represents the relationship of its own clusters and elements. To develop the clusters and elements of each dimension, Porter's diamond framework will be used. The final results show that China is the most attractive country to export steel, followed by Brazil and India. This is consistent with the information that we found with respect to the elements that were taken into consideration.

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