• Information Systems Review
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• v.23 no.4
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• pp.147-163
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• 2021

We investigate the effect of comment history disclosure on portal news comments. Specifically, based on the scraped news comments from Naver and Daum (two leading Korean news portals), we employ the difference-in-differences estimator to empirically tease out the impact of the comment history disclosure policy implemented in Naver on its news comments. Our result shows that the policy implementation significantly increased the length and the positiveness of online news comments but did not affect their quality.

• Review of KIISC
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• v.22 no.6
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• pp.9-14
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• 2012

정보보호 활동에 대한 이사회 및 최고경영층의 역할과 책임을 강조하는 거버넌스에 대한 이슈가 최근 공공기관 및 민간기업 공히 화두로 등장하고 있다. 조직 내 정보보호가 효과적으로 수행되기 위해서는 무엇보다도 정보보호에 대한 주요 방향 제시와 통제 기능을 수행하는 최고경영층의 리더십과 지원체계가 핵심성공요인이라는 것을 인식하기 시작한 것이다. 이러한 정보보호의 새로운 패러다임을 반영하여 현재 정보보호 거버넌스에 관한 국제표준화 작업이 완성단계에 있어 2013년에는 국제표준으로 발표될 예정이고, 국내 KS 표준으로도 상정될 예정이다. 또한 최근 금융권을 비롯하여 정보보호 거버넌스 도입을 위한 프로젝트가 수행되었다. 본 연구에서 국제표준의 내용을 중심으로 거버넌스를 위한 원칙과 프로세스를 소개하고, 국내 정보보호 거버넌스 도입 사례 연구를 통해 거버넌스의 현 수준을 살펴보고 향후 추진되어야 할 과제를 제시하고자 한다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.38-44
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• 2009

본 연구는 BPR(Business Process Reengineering)을 이루기 위한 가장 근본적이고 중요한 정보의 통합관리로써 MDM(Master Data Management)이라는 기준정보 관리 체계를 제시하였으며, 효과를 산출하기 위하여 국내의 글로벌 A 기업이 수행한 MDM 시스템을 분석하였다. 인사 및 고객 정보 위주로만 사용되었던 MDM을 제품 생산에 직접적으로 연관된 장비와 자재 부문까지 확장시켜 전사적으로 기업을 관리할 수 있는 정보 관리 체계의 효과를 분석하는 것이 본 연구의 목적이다. MDM은 전사의 가치 있는 기준정보를 명확히 정의하고 이를 하나의 데이터 시스템에서 관리하여 정보의 품질과 객관성을 유지시키는 동시에 기업환경에 맞춰 생성 및 수정을 하여 현실성을 유지시킨다. 또한 중앙 분산식 데이터 시스템을 사용함으로써 기준정보를 만들어 내거나 또는 사용하는 모든 정보시스템은 MDM을 거친 정보를 제공받음으로써 데이터의 적합성과 신뢰성을 보장받는다.

• Proceedings of the Technology Innovation Conference
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• 2009.02a
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• pp.259-274
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• 2009

연구개발에 종사하는 연구자나 연구기획자들은 미래에 어떤 기술 또는 연구 분야가 각광을 받을지 파악하기 위해 정보를 수집하거나 분석한다. 그러나 방대한 정보 중에서도 정말 필요한 정보를 단시간내에 효과적으로 수집하기는 쉽지 않다. 기술기획이나 연구기획의 경우 현재의 연구동향이나 현황을 빠른 시간안에 정확히 파악하는 것이 주된 관심사이며, 이것을 지원해 줄 수 있는 연구방법론 중 하나가 계량서지학이다. 본 연구는 계량서지적 분석결과를 효과적으로 이해할 수 있도록 시각화 기법을 이용한 정보분석 방법론을 다룬다. 발표동향 분석, 공동연구네트워크분석, 수준지수분석, 특허인용네트워크를 통한 인용트리분석 등을 이용하여 전자종이(e-Paper)기술분야에 대해 분석하였다. 본 연구는 정보분석에 있어 비전문가라도 신속하게 정보분석 결과를 획득할 수 있도록 KISTI에서 개발한 정보분석시스템인 KnowledgeMatrix S/W와 이를 응용한 S/W를 활용한 방법론을 제시한다. 본 연구에서 사용한 방법론들은 실제로 연구사업에 활용하고 있거나 활용가능성이 매우 높은 방법론을 이용하였기 때문에 향후에도 널리 활용될 수 있을 것으로 판단한다.

• The Journal of Information Systems
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• v.30 no.2
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• pp.105-126
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• 2021

Purpose The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation. Design/methodology/approach This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data. Findings This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.

• The Journal of Information Systems
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• v.32 no.4
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• pp.229-245
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• 2023

Purpose This study aims to understand the inclinations of young job seekers towards "hidden champions" - small but competitive companies that are emerging as potential solutions to the growing disparity between youth-targeted job vacancies and job seekers. We utilize machine learning techniques to discern the appeal of these hidden champions. Design/methodology/approach We examined the characteristics of small and medium-sized enterprises using data sourced from the Ministry of Employment and Labor and Youth Worknet. By comparing the efficacy of five machine learning classification models (i.e., Logistic Regression, Random Forest Classifier, Gradient Boosting Classifier, LGBM Classifier, and XGB Classifier), we discovered that the predictive model utilizing the LGBM Classifier yielded the most consistent performance. Findings Our analysis of the relative significance of preference determinants revealed that industry type, geographical location, and employee count are pivotal factors influencing preference. Drawing from these insights, we propose targeted strategic interventions for policymakers, hidden champions, and young job seekers.

• Journal of Navigation and Port Research
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• v.27 no.5
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• pp.557-562
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• 2003

As competition between companies increases in the international market, a stronger Management Information System that can support all areas of the business is needed According to this trend, more and more companies are introducing Enterprise Resource Planning(ERP) to construct a Management Information System In this study, ERP module composition direction suitable for shipping companies were proposed through theoretical review and case studies.

• The Journal of Information Systems
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• v.16 no.2
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• pp.145-169
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• 2007

The purpose of this research is to investigate success factors of knowledge management in Korea companies. The research scheme was experimented through a questionnaire survey answered by 87 companies. The research model was composed of five groups : 1) CEO support and business strategics, 2) organization culture 3) information technology characteristic of knowledge workers 4) a reward and performance measurement 5) knowledge management system. The results of this research indicated that the CEO support and organization culture are important factors for knowledge activities. The information technology characteristic of knowledge workers and a reward have small effects for knowledge activities. Manufacturing companies and non-manufacturing companies need different knowledge management strategies. The results of this study will be helpful for the success implementation of knowledge management in Korean companies.

• The Journal of Information Systems
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• v.28 no.1
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• pp.97-114
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• 2019

Purpose The purpose of this study is to deduct the factors for explaining the economic behavior of an Internet user who provides personal information notwithstanding the concern about an invasion of privacy based on the Information Privacy Calculus Theory and Communication Privacy Management Theory. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the computation theory of information privacy with the factors deducted from the management theory of communication privacy on the basis of the Dual-Process Theory. Findings According to the empirical analysis result, this study confirmed that the Privacy Concern about forms through the Perceived Privacy Risk derived from the Disposition to value Privacy. In addition, this study confirmed that the behavior of an Internet user involved in personal information offering occurs due to the Perceived Benefits contradicting the Privacy Concern.

• The Journal of Information Systems
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• v.32 no.4
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• pp.51-67
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• 2023

Purpose While research on ESG management in airlines is ongoing, research on airports, especially regional ones, remains insufficient. This study's point of departure is the inquiry into how the local airport industry is addressing global environmental shifts and engaging in ESG management activities. Design/methodology/approach Based on previous studies, the relationship between ESG(Environmental, Social, Governance) management, safety management, reputation, and management performance was analyzed. We analyzed 578 questionnaires through structural equation modeling using AMOS 21.0 to test our hypotheses. Findings First, environmental, social, governance, and safety management have a positive effect on both reputation and business performance. Second, reputation has affected business performance. Third, reputation was affected in the order of governance management, safety management, environmental management, and social management.