• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.1-10
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• 2006

This study constructs a causal relationship model of balance scorecard(BSC) performance in supply chain management(SCM). According to the results, the sample companies show the causal relationship of learning and growth performance, internal process performance, customer performance, and financial Performance indices in SCM. And this study implies that BSC performance indices gives, through direct causal relations among them, impact on the ultimate financial performance of firms.

• Journal of Industrial Convergence
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• v.20 no.9
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• pp.11-24
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• 2022

The average age of CEOs of the small and medium-sized enterprises(SMEs) in Korea is 58.8, and discussions are actively underway regarding the support towards the succession companies. Government authorities are also operating a system to support the succession companies, and recently global support is also being demanded. In order to have justification over the support for succession companies, the fact that it greatly contributes to the revitalization of the national economy and the regional economy must be acknowledged in advance. This study analyzed the degree of corporate succession revitalization of the national and regional economy through statistical and empirical analysis. With the purpose to secure the reliability of the analysis, the study has referred to the database of the "Integrated Management System for Small Business Recruitment Project" and the Korea Enterprise Data (KED), which can be the most differentiated aspect compared to the existing research of the past. According to the analysis, it shows that the old companies' performance is significantly higher than the general companies in terms of sales, number of employees, assets, and operating profits⋯etc. The management performance of the old companies (which lasted over 30 years) more than doubles the performance of the start-ups (with less than 10 years of experience) in sales, triples the number of employees, doubles the assets, and more than doubles the operating profit. Thus, it is seen that the contribution to the overall economy is significant. Additionally, as a result of the empirical analysis of the relationship between the regional old companies and the regional economic revitalization, the non-metropolitan area shows better performance than the metropolitan area in terms of the number of employees, assets, borrowings, and rent, which entails policy implications of the polarization between the metropolitan and non-metropolitan areas. In other words, it is found that old companies make a significant contribution to revitalizing the local economy, suggesting that further policies regarding corporate succession are required to support the old companies in the future.

• Information Systems Review
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• v.19 no.3
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• pp.127-154
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• 2017

This study aims to identify various service innovation patterns in the service industry and understand the main differences among them. We attempt to create a new typology of service innovation by analyzing its patterns based on the four major dimensions of service innovation (i.e., service concept, service delivery, customer interaction, and technology). We then investigate whether firms pursuing different service innovation patterns significantly differ from one another in terms of their performance (high and low performance). Based on empirical data collected from 198 Korean firms in the knowledge-intensive business service sector, four major clusters composed of different service innovation dimensions are identified. These four clusters can be interpreted as specific service innovation patterns, including "technology based high customer interaction," "high technology based high service delivery," "service delivery and high customer interaction-integrated," and "strongly balanced" innovators. High firm performance does not depend on the individual service innovation dimension but on the specific configurations of such service dimensions. Customer interaction also has an important role in achieving innovation success and improving firm performance, while technology has a key role in enhancing firm performance. This study sheds new light on service innovation research by developing a new typology of service innovation, identifying four major clusters as service innovation patterns, and exploring the relationship between service innovation patterns and firm performance.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.2
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• pp.57-66
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• 2017

The academic research on data governance is still in its infancy and focused on the definition of concept and components. However, we need to study of evaluation on data governance to help make decision of establishment. The purpose of this paper is to develop of attribute index in data governance framework. Therefore, in this paper, we used RGT (repertory grid technique) and Laddering techniques for experts interview and survey for validation of disinterested third party experts and analysis statistically. We completed data governance attribute index which is composed of data compliance area including 8 components, data quality area including 16 components and data organization area including 7 components. Moreover, the evaluation attributes is prioritized and ranked using the AHP. As a result of the study, this paper can be used for the base line data in introducing and operating data governance in an IT company.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.191-199
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• 2010

국내 소프트웨어 산업은 갈수록 치열해지는 시장의 무한 경쟁에서 글로벌 기업들의 공세에 그 경쟁력을 잃어 가고 있다. 소프트웨어 산업은 다른 산업과는 매우 다른 구조적인 특징을 갖고 있으며 국내 중소 벤처기업들이 제품의 경쟁력을 강화하기 위해서는 소프트웨어 품질의 향상을 위한 지속적인 투자와 노력이 필요하다. 기업은 단지 기능상의 화려한 소프트웨어의 개발이 아닌 고객 요구에 맞는 제품의 개발과 개발된 제품의 서비스 품질관리에 대한 중요성을 인식하고 더 많은 투자를 해야 한다. 이러한 배경에서 본 논문은 Kano 모델과 QFD를 통하여 중소벤처 소프트웨어 개발 업체의 서비스 품질 제고를 통한 경쟁력 향상 방안에 대해 연구하고자한다. 또한 본 연구를 기반으로 국내 패키지 소프트웨어 개발 기업이 국내외 시장에서 글로벌 제품에 대한 서비스 품질 경쟁력을 확보하고 이러한 분석된 데이터를 기반으로 소프트웨어의 개발 이전 단계부터 중소 벤처 기업이 충분한 경쟁력 확보를 할 수 있는 연구 모형을 설계하고자 한다.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.35-40
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• 2022

With the advent of the internet age and the outbreak of COVID-19, many companies have embraced online trade. However, due to the way the cyber economy works, the number of companies engaged in financial fraud by falsifying their transaction amounts and customer numbers has been gradually increasing. The purpose of this study is to analyze financial fraud of companies in the Internet era and to present solutions. Therefore, this study analyzed the financial fraud behavior of Luckin Coffee in China as an example and studied the causes and countermeasures of financial fraud. As a result, it was found that the cause of financial fraud lies in the opacity of cash flows from online transactions. The recommendations proposed by this study is to improve internal control systems in companies, develop risk management system, and establish comprehensive external supervision system

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.209-210
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• 2014

최근 요식업계의 성장과 기업화 과정을 통하여 POS 시스템 사용이 일반화되었으며 관련 데이터 생산량이 급증하고 있다. 이러한 경향에 따라 종래와 다른 영업정보의 분석 생산을 위한 빅 데이터 기반의 요식업계 POS 데이터 분석시스템으로, 지역별 업계 영업현황 분석정보를 제공함으로써, 요식업계는 물론 정책 생성에 유용한 정보를 제공하는 시스템을 설계 구현하여 제안한다.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.51-57
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• 2021

If a company's actions to save or avoid taxes are judged to be tax evasion rather than legal tax action by the tax authorities, the company will not only pay tax but also non-tax costs such as damage to corporate image and stock price decline due to a series of tax evasion-related news articles. Therefore, this study measures the frequency of occurrence of tax evasion controversial keywords in internet news portal as a factor to measure the severity of the case, and analyzes the effect of the frequency of occurrence on corporate value. In the Korean stock market, we crawl related articles from internet news portal by using keywords that are controversial for tax evasion targeting top companies based on market capitalization, and generate a time series of the frequency of occurrence of keywords about tax evasion by company and analyze the effect of frequency of appearance on book value versus market capitalization. Through panel regression and impulse response analysis, it is analyzed that the frequency of appearance has a negative effect on the market capitalization and the effect gradually decreases until 12 months. This study examines whether the tax evasion issue affects the corporate value of Korean companies and suggests that it is necessary to take these influences into account when entrepreneurs set up tax-planning schemes.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.361-364
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• 1998

정보기술의 발달과 경영패러다임의 변화로 데이터웨어하우스가 등장했다. 기존의 관계형 데이터베이스를 기반으로 하는 데이터웨어하우스에서는 사용자가 다양하고 복잡한 분석을 효율적으로 수행하기가 매우 어렵다. 따라서 새로운 데이터모델 즉 다차원 모델이 필요하게 되었다. OLAP(Online Analytical Processing)은 이런 다차원적인 기업 데이터를 사용자가 분석하고 Report 할 수 있게 만들고 관리하는 역할을 한다. 이러한 OLAP은 클라이언트/서버 구조를 가지는데 OLAP 제품별로 질의방법이나 보고방식들이 다르다. 따라서 최종 사용자는 다른 Client 툴을 사용할 경우 새로운 질의 방법과 보고방식을 익혀야한다. 그리고 커스텀화된 OLAP Client툴을 사용할 경우 Server가 바뀌면 사용할 수 없게 되는 단점이 있다. 이런 문제의 원인은 OLAP Client가 Server에 의존적이기 때문이다. 본 논문에서는 이러한 문제점을 해결하기 위해서 OLAP의 특성과 OLAP Client가 지녀야 하는 특성을 알아보고 이러한 요구사항에 맞는 OLAP Server에 의존적이지 않은 통합된 OLAP Client를 제시하고 실제 구현하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.183-188
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• 2008

디지털 포렌식이 활성화 되고 수사에서 활용하는 사례가 증가함에 따라 기업과 개인을 비롯한 범죄혐의자들의 이에 대응하기 위한 기술도 증가하고 있다. 이를 안티포렌식 또는 항포렌식이라고 하는데 이는 디지털 자료의 변조, 파괴, 은닉 등으로 나누어 볼 수 있다. 본 논문에서는 범죄 수사현장에서 필요한 안티포렌식에 대응하는 기술인 위 변조된 데이터 추출 기법, 슬랙 영역의 숨겨진 데이터 추출 기법, 스테카노 그래픽 추출 및 분석 기법, 암호 복호화 기법, 삭제된 데이터 및 파괴된 데이터 복원 기법을 소개하고, 이에 대한 대비책을 제시한다. 본 연구를 통하여 첨단 범죄 수사관들이 안티디지털포렌식에 대한 새로운 디지털 증거의 추출과 분석에 기여하여 컴퓨터 및 첨단 범죄에 대한 디지털 포렌식 기술로 새로운 수사의 방향을 제시 할 수 있을 것이다.