• Digital Contents
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• no.2 s.141
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• pp.114-121
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• 2005

많은 기업에서 애써 외면하려고 하는 데이터의 품질이 비즈니스에 미치는 영향을 생각해 본 적이 있는가? 이 글에서는 데이터 품질을 평가하기 위한 요소와 현재 접근되고 있는 데이터 품질 관리의 한계점, 그리고 품질관리 프로젝트의 어려운 점을 분석해보며 이를 극복하기 위한 프레임워크를 제안한다.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.167-178
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• 2017

Big Data is a key asset for the company and a key factor in boosting its competitiveness in the logistics sector. However, there is still a lack of research on how to collect, analyze and utilize Big Data in logistics. In this context, this study has developed a value model applicable to logistics companies based on the results of analysis and application of Big Data in the logistics of previous studies and DHL. The purpose of this study is to improve the operational efficiency and customer experience maximization level of logistics companies through utilization of big data analysis in logistics, to improve competitiveness of big data utilization and to develop new business opportunities. This study has a significance to newly create a value model for utilization of big data analysis in logistics sector and can provide implications for other industries as well as logistics sector in the future.

• 한국벤처창업학회:학술대회논문집
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• 2022.11a
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• pp.195-199
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• 2022

본 연구는 스타트업 투자성과와 연계된 창업가 역량, 재무정보 등 정량데이터를 기반으로 스타트업 투자자들의 투자결정요인을 분석하였다. 주요 실증결과는 다음과 같다. 첫째, 창업 초기 종업원 수가 많고, 최고경영자의 지분비율이 높을수록 투자승인 확률이 높게 나타났다. 둘째, 재무적 특성에서는 기업의 매출액 규모가 작을수록 투자승인 확률이 높게 나타났다. 이러한 결과는 스타트업의 경우, 기업의 단기성과보다는 투자 결정에 있어 미래가치 혹은 다른 정성적인 요인이 더 고려된다는 점을 보여준다. 셋째, 창업가 특성에서는 CEO 교육수준(학력)이 높을수록 투자승인 확률이 높게 나타났다. 즉, 창업자의 학력은 성공적인 투자 여부에 핵심적인 변수이고 이것은 선행연구의 결과와 다르지 않았다. 또한, 학력과 투자유치의 연관성은 창업 3년 미만 스타트업에서 상대적으로 강하게 나타났다. 선행연구에서 투자정보공개, 관련 데이터 확보의 어려움으로 스타트업 투자에 관한 정량적 실증연구가 거의 진행되지 못한 점을 고려한다면, 본 연구는 설문조사 방식을 뛰어넘어 국내 초기 창업기업만을 대상으로 성공적인 투자유치와 연계된 스타트업의 평가요인을 정량적으로 분석했다는 점에서 중요한 의의를 갖는다.

• Journal of Technology Innovation
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• v.25 no.4
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• pp.189-209
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• 2017

Financial institutions around the world, including financially advanced nations, widely operate a credit information sharing system to ease off information asymmetry between financial institutions and financial consumers. This study analyzed the credit problem data that is actually being shared among financial institutions in Korea, and classified credit problem data into three categories; Frequency, Period, Amount. In survival analysis, this study analyzed how different types of credit problem influence on survival period of companies. Next, in comparative analysis, this study verified a difference between start-up companies and existing companies on classified conditions of the credit problems. After conducting a survival and comparative analysis of the credit information of 449,579 companies of 8 years' actual information sharing in Korea, it showed that the number of the frequency of accidents showed a positive(+) correlation with the survival period. This provides contrary evidence to the financial institutions' risk policies that the number of the frequency of accidents is a negative factor. Furthermore, since the start-up companies that are under 7 years old show more positive aspect in the survival period than existing companies, it draws a policy implication that the credit information sharing system need to be improved by taking account of characteristics of the start-up companies.

• Knowledge Management Research
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• v.24 no.4
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• pp.103-129
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• 2023

This study aims to analyze the network structure of technological innovation resources in SMEs, especially manufacturing firms, and reveal the differences between innovative and non-innovative firms. The study first analyzes connection centrality, flow-mediated centrality, and power centrality for all firms, and derives structural equivalence through CONCOR analysis. Then, the network structure of innovative and non-innovative firms was compared and analyzed according to innovation performance and creation. The results show that entrepreneurship and corporate innovation strategy have a significant impact on the analysis of technological innovation resources of all firms. According to the CONCOR analysis, the innovation resources of SMEs are organized into seven clusters, which can be defined as intrinsic product innovation resources, competitive advantage promotion resources, cooperative activities resources, information system resources, and innovation protection resources. The network analysis of innovative and non-innovative firms showed that innovative firms focused on enhancing competitiveness and improving quality, while non-innovative firms tended to focus more on existing products and customers. In addition, innovative firms had eight clusters, while non-innovative firms had six clusters, suggesting that innovative firms utilize resources diversely to pursue structural change and new value creation, while non-innovative firms operate technological innovation resources in a more stable form. This study emphasizes the importance of entrepreneurship and corporate innovation strategy in SMEs' technological innovation, and suggests that strong internal efforts are needed to increase innovativeness. These findings have important implications for strategy formulation and policy development for technological innovation in SMEs.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.591-599
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• 2016

This study has examined and compared the Organizational performance of the Diversity management focusing on Japanese Companies Employing the Elderly and persons with disabilities. To achieve the research objectives, I performed T-test. The total number of the date used in this study is 1,704. The findings from the t-tests are: the Organizational Productivity and Organizational security of companies employing the Elderly and persons with disabilities are better than those of companies managing Gender Diversity or not carrying out at all.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.313-316
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• 2006

기존에 기업의 의사결정을 위해 사용되는 데이터 웨어하우스나 데이터 마트에서 성능향상을 위한 많은 연구들이 있었다. 하지만 복잡한 업무요건이 추가되고 기업의 요구가 다양해짐에 따라 RDBMS의 성능은 점점 낮아지고 이를 해결하기 위한 필요성이 요구되었다. 따라서 본 논문에서는 이를 해결하기 위해 버퍼기능을 하는 PL/SQL Package를 구현하여 효율적인 질의 최적화 방법을 제안하고자 한다. 그리고 본 논문에서 제안한 방법이 기존의 방법보다 성능이 좋다는 것을 실험을 통해 증명해 보였다.

• Smart Media Journal
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• v.13 no.2
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• pp.108-121
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• 2024

In the IT industry, the complexity and volatility of corporate networks are gradually evolving, and concurrently, the significance of corporate networks is increasing. Previous research has employed network analysis to scrutinize inter-corporate trade relationships for strategic and policy making. However, previous studies focused on the overall network structure from a macroscopic perspective, presenting limitations in applicability at the individual IT corporation level. This study develops a novel research model incorporating sector and region-level network analysis based on connection strength, along with the derivation of a composite node centrality indicator. Using this methodology, we analyzed corporate networks across nine metropolitan areas using IT corporate transaction data. The results means that cities with a manufacturing base, such as Incheon, Busan, and Daegu, have recently established cooperative networks with IT companies. We also found that in the IT industry in Gwangju and Daejeon, certain companies dominate the transaction network.

• Knowledge Management Research
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• v.22 no.1
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• pp.57-84
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• 2021

In this paper, we explore market and environmental factors which affecting organization's priority claim application which is more powerful and prompt strategic method to protect technology from competitors under uncertain and volatile environments. This study empirically examines why organizations strategically choose the priority claim application which is more strong tactics to protect technology as the source of sustainable competitive advantage. We suggest that market and environmental factors, such as exogenous shock, volatility, and uncertainty, may also affect strategic decision that organization take patent application with claiming priority. The results of our analysis of priority claim application in the Korean high-tech electronics industry from 1994 to 2008 showed that these three strategic factors affected the technology protection decision and organization's status also moderate theses effects, as predicted in our hypotheses.

• Journal of Convergence Society for SMB
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• v.5 no.4
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• pp.11-16
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• 2015

In recent years, small businesses are increasing attempt to create better value through a combination of benefits with small and flexible organization of big data. However, until now small businesses are lacking to secure sustainable competitiveness to match the ICT paradigm alteration to focus on improving productivity. This paper propose an efficient small businesses process model which can effectively take advantage of a low cost, identify customer needs, taget marketing, customer management for new product. Proposed model can retain the necessary competitiveness in generating new business for collaboration between companies inside and companies using a massive big data. Also, proposed model can be utilized the overall business activities such as the target customer selection, pricing strategies, public relations and promotional activities and enhanced new product development capabilities using big data.