• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 1999년도 추계공동학술대회 논문집:21세기지식경영과 정보기술
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• pp.557-575
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• 1999

As the Internet has been used widely in modern firms for gaining competitive advantage in the market, EC (Electronic Commerce) emerged as one of strong alternatives for this purpose. Many researchers and practitioners have proposed a wide variety of EC frameworks that can consider only the structured conditions, but there exists no EC mechanism in which engaged entities can take into account the various unstructured conditions. With the conventional EC framework, the structured EC conditions such as price, quantity, delivery date, etc. can be fully negotiated during the EC process. However, no studies have been conducted on the issue of incorporating those unstructured conditions which are difficult to represent in an explicit form and therefore hard to consider explicitly during the EC process. They are characterized by causal properties. This means that we should have a new EC mechanism which is capable of dealing with causal knowledge. In this sense, we propose a FCM (Fuzzy Cognitive Map)-based simulation framework for EC to resolve the problem of considering the unstructured conditions during the EC process. We experimented our prototype with several illustrative examples and proved that our approach is robust and meaningful.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 1999년도 추계공동학술대회 논문집:21세기지식경영과 정보기술
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• pp.537-555
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• 1999

As the Internet has been used widely in modern firms for gaining competitive advantage in the market, EC (Electronic Commerce) emerged as one of strong alternatives for this purpose. Many researchers and practitioners have proposed a wide variety of EC frameworks that can consider only the structured conditions, but there exists no EC mechanism in which engaged entities can take into account the various unstructured conditions. With the conventional EC framework, the structured EC conditions such as price, quantity, delivery date, etc. can be fully negotiated during the EC process. However, no studies have been conducted on the issue of incorporating those unstructured conditions which are difficult to represent in an explicit form and therefore hard to consider explicitly during the EC Process. They are characterized by causal properties. This means that we should have a new EC mechanism which is capable of dealing with causal knowledge. In this sense, we propose a FCM (Fuzzy Cognitive Map)-based simulation framework for EC to resolve the problem of considering the unstructured conditions during the EC process. We experimented our prototype with several illustrative examples and proved that our approach is robust and meaningful.

• 산업공학
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• 제15권4호
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• pp.444-451
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• 2002

Recently, the interest in technology valuation is revived and increasing mainly due to the lack of suitability of the traditional valuation methods in explaining the market reaction to newly-emerging knowledge-oriented companies. Moreover, many firms are now gearing their efforts to the strategic use of technology asset such as technology licensing, transfer and commercialization. Firms are also trying to enhance their technological competitiveness by re-evaluating their technology level and thus identifying the strengths/weaknesses of their technology portfolio. To accomplish this objective, the development of an integrated evaluation system for technology assets is essential. This paper presents a technology valuation system developed for a steel manufacturing company in South Korea. The valuation framework is based on; (1) the multi-attribute evaluation of technological competitiveness using Analytic Hierarchical Process and; (2) the expected future benefit of the technology using four different methods of discounted cash flow estimation. The suggested framework will be easily applicable to various industries where technological competitiveness should be evaluated systematically.

• 경영정보학연구
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• 제9권3호
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• pp.45-65
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• 2007

경영 환경이 급격하게 변화함에 따라서 전략적 의사결정의 중요성이 커지고 있고, 효과적인 전략적 의사결정 지원 시스템을 개발하기 위해서는 체계적인 전략적 의사결정 프로세스 개발, 효과적인 문제 해결 기법, 편리한 IT 도구가 필요하다. 본 연구에서는 전략적 의사결정 프로세스를 개발하고, 문제해결 기법을 분류하고, 이를 기반으로 기법 추천 시스템을 개발하였다. 이를 기반으로 한 SDSS 프레임웍은 기업의 전략적 의사결정을 지원하기 위한 SDSS 개발에 많은 도움을 줄 것으로 기대된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권3호
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• pp.1014-1025
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• 2020

Cloud computing services changed the way the data are managed across the healthcare system that can improve patient care. Currently, most healthcare organizations are using cloud-based applications and related services to deliver better healthcare facilities. But architecting a cloud-based healthcare system needs deep knowledge about the working nature of these services and the requirements of the healthcare environment. The success is based on the usage of appropriate cloud services in the architecture to manage the data flow across the healthcare system.Cloud service providers offer a wide variety of services to ingest, store and process healthcare data securely. The top three public cloud providers- Amazon, Google, and Microsoft offers advanced cloud services for the solution that the healthcare industry is looking for. This article proposes a framework that can effectively utilize cloud services to handle the data flow among the various stages of the healthcare infrastructure. The useful cloud services for ingesting, storing and analyzing the healthcare data for the proposed framework, from the top three cloud providers are listed in this work. Finally, a cloud-based healthcare architecture using Amazon Cloud Services is constructed for reference.

• 융합보안논문지
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• 제15권4호
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• pp.99-105
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• 2015

사이버 공격의 지능화, 조직화로 몇몇 소수의 정보보호 전문가만으로 사이버 위협에 대응할 수 없는 시대가 되었다. 이에 따라 대학의 정보보호 관련학과가 2013년에 비해 17%나 증가했다. 하지만 대학의 교육은 실제 산업현장에 필요한 인력을 양성하는데 한계를 노출하고 있다. 본 연구에서는 이를 개선하기 위해 정보보호 직무체계 및 분야별 필요 교육 내용에 대한 연구를 조사하였다. 이후 이를 바탕으로 대학에서 학습되어야하는 정보보호 분야를 도출하였다. 그리고 도출된 분야의 교육과정을 운영하기 위한 방안으로 교육내용 선정 및 인증에 대한 방안을 제시하고 있다. 본 연구를 국가 정보보호백서에서 조사되는 정보보호 인력 현황과 연계해 대학 정보보호 관련학과의 분야를 조절할 수 있을 것으로 기대된다. 그리고 실 현장의 수요를 반영한 인력을 배출할 수 있는 정보보호 인력 중장기 계획의 기초 연구로 활용되고자 한다.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2002년도 추계학술대회
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• pp.425-430
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• 2002

Over the years, several different approaches have been proposed to enhance the practice of software reuse. These approaches vary in reuse abstraction levels or application domains they focus on. However, it seems that they do not adequately meet the needs of software designers in planning and managing reuse. One reason may be the lack of conceptually well-established framework supporting work domain analysis and modeling. As a new viable solution to this problem, Sutcliffe and his colleagues developed Domain Theory , which is introduced in this paper. Utilizing multidisciplinary perspective, such as cognitive psychology, management science, human-computer interaction, and software engineering. it provides a schematic framework that defines a comprehensive library of generic and reusable models of domain knowledge in terms of generic tasks and meta-domains. It also provides useful methods and guidelines for software reuse, emphasizing the concept of abstraction process in a designer s mind. This paper firstly gives a brief overview of fundamentals of software reuse. Next, it explains the foundation of domain theory and discusses its applicability to software reuse. In particular, the taxonomy of meta-domains and the types of generic tasks are described in more detail. Finally, the future research framework, which primarily addresses the problem of how to apply the domain theory to various work domains, is proposed.

• 한국게임학회 논문지
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• 제18권3호
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• pp.17-26
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• 2018

최근 경험경제의 가속화 시대에서, 사용자 경험이 무엇보다 중시되는 대표적인 키워드가 게이미피케이션 연구 분야이다. 게이미피케이션은 제공자와 사용자의 다양한 상호작용으로 무형의 요소가 생산, 소비되는 특성이 있으며, 경제적인 가치로 일반화하고, 객관화하기 어려운 구조로 되어 있다. 본 연구는 사용자에게 경험을 제공하고 가치를 창출하는, 기업의 어떠한 지식, 디자인, 콘텐츠, 서비스 등 무형의 기술에 대한 경제적 가치를 평가하는 견해에서, 게이미피케이션 기술에 대한 경제적 가치를 포괄하는 평가 셈식과 전체 구조를 정형화하는 데 연구의 목적이 있다.

• Journal of Information Processing Systems
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• 제16권6호
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• pp.1238-1249
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• 2020

Throughout the world, aging populations and doctor shortages have helped drive the increasing demand for smart healthcare systems. Recently, these systems have benefited from the evolution of the Internet of Things (IoT), big data, and machine learning. However, these advances result in the generation of large amounts of data, making healthcare data analysis a major issue. These data have a number of complex properties such as high-dimensionality, irregularity, and sparsity, which makes efficient processing difficult to implement. These challenges are met by big data analytics. In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images. The proposed method would efficiently address the data heterogeneity problem using middleware between heterogeneous data sources and MapReduce Hadoop clusters. Furthermore, the proposed framework enables the use of both fog computing and cloud platforms to handle the problems faced through online and offline data processing, data storage, and data classification. Additionally, it guarantees robust and secure knowledge of patient medical data.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.117-123
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• 2011

The Australian construction industry is characterized as being a competitive and risky business environment due to lack of cooperation, insufficient trust, ineffective communication and adversarial relationships which are likely lead to poor project performance. Relational contracting (RC) is advocated by literature as an innovative approach to improve the procurement process in the construction industry. Various studies have collectively added to the current knowledge of known RC norms, but there seem to be little effort on investigating the determinants of RC and its impact on project outcomes. In such circumstances, there is lack of evidence and explanation on the manner on how these issues lead to different performance. Simultaneously, the New Engineering Contract (NEC) that embraced the concept of RC is seen as a modern way of contracting and also considered as one of the best approaches to the perennial problem of improving adversarial relationships within the industry. The reality of practice of RC in Australia is investigated through the lens of the NEC. A synthesis of literature views on the concept, processes and tools of RC is first conducted to develop the framework of RC. A case study approach is proposed for an in-depth analysis to explore the critical issues addressed by RC in relation to project performance. Understanding the realities of RC will assist stakeholders in the construction industry with their investment in RC.