• Korean Management Science Review
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• v.34 no.2
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• pp.85-101
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• 2017

Currently, the SW industry is the center of digital economy and it is very important industry in terms of market scale and ripple effect. Due to the suffering from poor working environment of the SW industry and the disproportion of manpower supply due to the lack of experienced SW manpower, it is hard to create jobs of high quality for the SW professionals who can be applied to various convergence industries. In this study, we try to analyze the benchmarking cases of successful foreign industrial innovative clusters in order to promote sustainable development direction of SW industry and to create high quality SW jobs. First, the comparison criteria are derived from the viewpoint of creation of high quality SW jobs through an analysis of SW environment by using expert FGI (Focus Group Interview) technique. The critical success factors (CSFs) are derived by comparing and analyzing each industrial cluster cases in terms of SW job creation. This article presents the desirable implications of the cluster of SW industry that can generate SW jobs continuously from the viewpoint of ecosystem environment infrastructure. Through this study, we propose a meaningful direction of SW clusters for job creation, and solve the business inconsistency and suggest ways to increase the sustainability of core competence manpower.

• International Commerce and Information Review
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• v.7 no.2
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• pp.185-204
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• 2005

Korea has many industrial Complexes all over the country. But most of them are composed of industries having low technology, low knowledge. So Korean industry are not able to innovation in technology. Especially, Korean Industries are not clustered in similar industry and they are not connected with research institute. Canada has los of clustered complexes in her country being able to innovation. So for the development of Korean industry, all the industrial park have to be quickly changed to the innovation clusters.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.2
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• pp.331-336
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• 2013

The purpose of this study is to visualize the characteristics of ER fluids as preceding step of developing 3 port ER valves. As the strength of the electric field increases, more clusters in flow are made and these clusters are thought to be the reasons of the load flow rate being increased and the outlet flow rate being decreased. The ER Valves and load and outlet flow rate check method are considered to be applied to the fluid power control system. Using the manufactured pressure control valve, a one-link manipulator with FHA in robot system is driven. As a result, it is experimentally confirmed that the pressure control valve using ER fluids is applicable to use in driving actuator. If it applies characteristics of the ER fluids, it will be able to apply in the control system for the ER Valve which occurs from industrial controller(PLC).

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.164-169
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• 2008

The increasing late-payment rate of credit card customers caused by a recent economic downturn are incurring not only reduced profit of department stores but also significant loss. Under this pressure, the objective of credit forecasting is extended from presumption of good or bad customers to contribution to revenue growth. As a method of managing defaults of department store credit card, this study classifies credit delinquents into some clusters, analyzes repaying patterns of customers in each cluster, and develops credit forecasting system to manage delinquents of department store credit card using data of Korean D department store's delinquents. The model presented by this study uses Kohonen network, a kind of artificial neural network of data mining techniques to cluster credit delinquents into groups. Logistic regression model is also used to predict repayment rate of customers of each cluster per period. The accuracy of presented system for the whole clusters is 92.3%.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.464-469
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• 2001

CRM(Customer Relationship Management : CRM) is an advanced marketing supporting system which analyze customers\` transaction data and classify or target customer groups to effectively increase market share and profit. Many engines were developed to implements the function and those for classification and clustering are considered core ones. In this study, an improved clustering method based on SOM(Self-Organizing Maps : SOM) is proposed. The proposed clustering method finds the optimal number of clusters so that the effectiveness of clustering is increased. It considers all the data types existing in CRM data warehouses. In particular, and adaptive algorithm where the concepts of degeneration and fusion are applied to find optimal number of clusters. The feasibility and efficiency of the proposed method are demonstrated through simulation with simplified data of customers.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.361-364
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• 2008

A aim of this study is to show that trust formed among actors in clusters effects on the innovation for firms. This paper finds that trust is not enough formed. firms feel trust in relationship between firms and universities and between firms and research institutes. However, trust not to be formed in relationship between firm and public agencies and between firms and other firms. By mean of the finding, the various network types which can facilitate trust must be made by policy support.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2110-2116
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• 2012

This research focused on the strategy formulation for the development of the innovation cluster in Gyeonggi Province - 'Pankyo & Gwanggyo Technovalley'. The study was performed based on both theoretical study and quantitative & qualitative study approaches. Particularly, questionnaire survey was used for the diagnosis of the developmental stages of the innovation clusters. The major determinants for the development of the innovation cluster in Gyeonggi Province can be summarized as follows; the establishment of S&T based host institution, the gradual enlargement of the role of host institution and the enhancement of the network capability of innovation clusters. In terms of the needs of times, this study regarding the strategy for the development of the innovation clusters is anticipated to be a good reference for the R&D organizations and technology cluster participants in coming years.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.11b
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• pp.27-45
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• 2006

• Proceedings of the Korea Association of Information Systems Conference
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• 2005.05a
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• pp.349-361
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• 2005

• Journal of Information Technology Services
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• v.22 no.2
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• pp.1-21
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• 2023

Due to the convergence and complexity of the 4th Industrial Revolution, the boundaries between industries have become unclear and ambiguous. Consequently, there is a lack of research on how firms engaged in this industry are changing their location behavior. Recently, some attempts to classify the industrial groups of the 4th Industrial Revolution and their detail occupations have been made, and this study adopts the classification of Lee and Jung (2020) of the Korea Institute for Industrial Economics & Trade. In this study, the 18 detailed industries commonly included in multiple industrial groups are defined as 'core industries' and are classified into manufacturing and service industries to explore the spatial patterns of firms' location. Specifically, this study aims to examine how the location behavior of firms in core industries of the 4th Industrial Revolution has changed from 2010 to 2019 in the Seoul metropolitan area, using the 「National Business Survey」 data. We employed two methods based on spatial auto-correlation: (i) spatial kernel density estimation analysis and (ii) local Moran's I_i analysis. The results indicate that the core industry firms form more distinct and larger clusters in 2019 based on the clusters formed in 2010. Specifically, manufacturing industry firms tended to concentrate in the southern region of Gyeonggi and parts of Seoul, while serivce industry firms were more concentrated in Seoul. These core industries play a critical role in industries and are closely related to the ICT industries, which generate high-added value and increase productivity in the front and rear industries. This study reveals that the agglomeration of these industries in specific regions is intensifying and may exacerbate regional inequality.