• 경영과학
• /
• 제34권2호
• /
• pp.85-101
• /
• 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.

• 통상정보연구
• /
• 제7권2호
• /
• pp.185-204
• /
• 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.

• 한국생산제조학회지
• /
• 제22권2호
• /
• pp.331-336
• /
• 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).

• 한국산업정보학회:학술대회논문집
• /
• 한국산업정보학회 2008년도 추계 공동 국제학술대회
• /
• pp.164-169
• /
• 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%.

• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
• /
• pp.464-469
• /
• 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.

• 한국산학기술학회:학술대회논문집
• /
• 한국산학기술학회 2008년도 춘계학술발표논문집
• /
• pp.361-364
• /
• 2008

본 연구의 목적은 집합적인 효율성을 추구하기 위해 지역적 집적인 클러스터 내 기업들의 혁신활동에 있어서 기관 간 신뢰를 알아보기 위한 것이다. 실증연구를 통하여 볼때, 신뢰가 아직 충분히 형성되지 못하고 있다. 기업은 대학과 연구소는 신뢰하지만, 기업과 기업간, 기업과 공공기관은 신뢰하지 못한다. 이를 통하여 클러스터의 작동이 이루어지기 위해서는 신뢰를 촉진하는 여러 가지 네트워크가 개발되어야 할 것이다.

• 한국산학기술학회논문지
• /
• 제13권5호
• /
• pp.2110-2116
• /
• 2012

본 연구에서는 혁신클러스터의 이론을 살펴보고 혁신클러스터 추진의 향후 전략과 과제를 사례분석을 통해서 고찰하였다. 이러한 이론과 사례연구를 기반으로 현재 성공적으로 평가받고 있는 혁신클러스터인 광교테크노밸리, 판교테크노밸리의 발전과 성장을 위한 전략방향을 고찰해 보았다. 경기도 혁신클러스터의 발전전략 도출을 위해서 먼저 광교와 판교 혁신클러스터의 현황조사 및 각 클러스터간의 발전단계를 비교하였다. 본 연구를 통해서 혁신클러스터의 안정적 성장과 발전을 위해서는 우선 과학기술기반의 실행체계 구축, 클러스터 지원 체계의 단계적 확장, 타첨단거점과의 네트워크 역량이 강화되어야 함을 고찰할 수 있었다. 혁신클러스터의 단계적 발전을 위한 전략방향을 다차원적으로 고찰한 본 논문은 향후 클러스터 추진 관련 연구 조직에게 큰 함의를 제공할 수 있을 것으로 기대한다.

• 한국기술혁신학회:학술대회논문집
• /
• 한국기술혁신학회 2006년도 추계학술대회
• /
• pp.27-45
• /
• 2006

• 한국정보시스템학회:학술대회논문집
• /
• 한국정보시스템학회 2005년도 춘계학술대회 발표 논문집
• /
• pp.349-361
• /
• 2005

• 한국IT서비스학회지
• /
• 제22권2호
• /
• pp.1-21
• /
• 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.