• 한국산학기술학회:학술대회논문집
• /
• 한국산학기술학회 2003년도 Proceeding
• /
• pp.73-79
• /
• 2003

In managing organizational tacit knowledge, recent researches have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise. In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user's information needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To improve FAH, a text categorization approach called Vector Space Model is utilized. To test applicability and practicality of the proposed framework, the prototype system, "Knowledge Portal for Researchers in Science and Technology" sponsored by the Ministry of Science and Technology (MOST) of Korea, was developed.

• 지식경영연구
• /
• 제4권1호
• /
• pp.67-79
• /
• 2003

Today, corporate knowledge plays a critical role in obtaining competitive advantage. It is often pointed out that corporate knowledge is expected to be able to support various efforts for process innovation. Accordingly, it is important to establish a systematic infrastructure for the acquisition of knowledge which can support business-critical tasks effectively. From this motivation, this paper proposes a framework to guide a series of acquisition procedures for task knowledge and shows how to intemperate with activities for an innovation purpose. Moreover, the useful components of task knowledge are proposed; the schema of the components is ultimately implemented as a repository in a system for the management of task knowledge. To demonstrate the practical usefulness of the framework and the schema components, a real-life case is illustrated.

• Asia pacific journal of information systems
• /
• 제30권2호
• /
• pp.420-438
• /
• 2020

Recently, with the advance of the wireless Internet access via mobile devices, a myriad of game development companies have forayed into the mobile game market, leading to intense competition. To survive in this fierce competition, mobile game developers often try to get a grasp of the rapidly changing needs of their customers by operating their own official communities where game users freely leave their requests, suggestions, and ideas relevant to focal games. Based on the heuristic-systematic model (HSM) and the data quality (DQ) framework, this study derives key content, non-content, and hybrid cues that can be utilized when game developers accept suggested postings in these online communities. The results of hierarchical multiple regression analysis show that relevancy, timeliness, amount of writing, and the number of comments are positively associated with mobile game developers' knowledge adoption. In addition, title attractiveness mitigates the relationship between amount of writing/the number of comments and knowledge adoption.

• Asia pacific journal of information systems
• /
• 제10권2호
• /
• pp.51-69
• /
• 2000

Recently, as business problems become more complicated and require more precise quantitative results, large-scale model management systems are increasingly in demand for supporting the decision-making activities. In addition, as distributed computing over networks gains popularity, departmental computing systems are gradually adopted in an organization to facilitate collaboration of geographically dispersed multiple departments. In departmental collaborative model management systems, multiple departments share common models but approach them with different user-views depending on their departmental needs. Moreover, the shared models become evolved as their structures and the corresponding data sets change due to the dynamic nature of the operating environment and the inherent uncertainty associated with the problems. In such capacity, providing the multiple departmental users with synchronized and consistent views of the models is important to improve the overall productivity. In this paper, we propose a collaborative model management framework for coordinating model change and automatic user-view update in a departmental computing environment. To do so, we describes changes in the model and their effects occurred in departmental model management environments and identifies the constructs and processes for maintaining the consistency between a shared model and its departmental user-views. Especially, in this framework, generic model concept was adopted for accommodating diverse mathematical models in a uniform way in a modelbase and object-oriented database management systems(ODBMS) for combining the model management constructs and automatic user-view update mechanisms in a single formalism. A prototype object-oriented modeling environment was developed using an ODBMS called ObjectStore and $C^{++}$ programming language on Windows NT.

• 한국전자거래학회지
• /
• 제14권3호
• /
• pp.39-57
• /
• 2009

전자거래가 보편화 되고 전자카탈로그 데이터의 양이 증가하면서 데이터 품질을 관리할 수 있는 체계적인 접근 방법이 필요해지고 있다. 이러한 필요성에 따라 여기서는 프로세스 기반의 전자카탈로그 데이터 품질관리 프레임워크를 제시한다. 이것은 기업이나 조직 의 전자카탈로그 시스템의 기대를 만족시키기 위해 지속적으로 수행하는 데이터 관리 및 개선 활동에 대한 방법이다. 이 프레임워크에서는 품질관리를 위한 대상이 데이터, 데이터 품질관리 항목, 데이터 품질관리 프로세스의 세 가지로 구분된다. 세 가지 관리 대상은 다시 관리조직의 레벨인 총괄데이터 책임자, 데이터 관리자, 사용자에 따라 세분화 되어 제시된다.

• Asia pacific journal of information systems
• /
• 제2권1호
• /
• pp.17-33
• /
• 1992

This paper provides a framework for evaluating business information systems. The framework identifies three evaluation domains: IS business value, IS expenses, and IS functionality. Discussions of each category encompass what to be measured, how to measure, and how to judge the measured value. Then, the framework classifies three categories of individual information systems based on IS life cycle: industry-common, industry-similar, and firm-specific. This categorization is used to match the role of an individual system with the focus of evaluation efforts. The framework can contribute to the systematic design of evaluation programs for business information systems.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권1호
• /
• pp.406-434
• /
• 2019

In general, an information security approach estimates the risk, where the risk is to occur due to an unusual event, and the associated consequences for cloud organization. Information Security and Risk Management (ISRA) practices vary among cloud organizations and disciplines. There are several approaches to compare existing risk management methods for cloud organizations but their scope is limited considering stereo type criteria, rather than developing an agent based task that considers all aspects of the associated risk. It is the lack of considering all existing renowned risk management frameworks, their proper comparison, and agent techniques that motivates this research. This paper proposes Agent Based Information Security Framework for Hybrid Cloud Computing as an all-inclusive method including cloud related methods to review and compare existing different renowned methods for cloud computing risk issues and by adding new tasks from surveyed methods. The concepts of software agent and intelligent agent have been introduced that fetch/collect accurate information used in framework and to develop a decision system that facilitates the organization to take decision against threat agent on the basis of information provided by the security agents. The scope of this research primarily considers risk assessment methods that focus on assets, potential threats, vulnerabilities and their associated measures to calculate consequences. After in-depth comparison of renowned ISRA methods with ABISF, we have found that ISO/IEC 27005:2011 is the most appropriate approach among existing ISRA methods. The proposed framework was implemented using fuzzy inference system based upon fuzzy set theory, and MATLAB(R) fuzzy logic rules were used to test the framework. The fuzzy results confirm that proposed framework could be used for information security in cloud computing environment.

• Educational Technology International
• /
• 제24권2호
• /
• pp.295-329
• /
• 2023

The recent development of metaverse-related technology has led to efforts to overcome the limitations of time and space in education by creating a virtual educational environment. To make use of this platform efficiently, applying learning analytics has been proposed as an optimal instructional and learning decision support approach to address these issues by identifying specific rules and patterns generated from learning data, and providing a systematic framework as a guideline to instructors. To achieve this, we employed an inductive, bottom-up approach for framework modeling. During the modeling process, based on the activity system model, we specifically derived the fundamental components of the learning analytics framework centered on learning activities and their contexts. We developed a prototype of the framework through deduplication, categorization, and proceduralization from the components, and refined the learning analytics framework into a 7-stage framework suitable for application in the metaverse through 3 steps of Delphi surveys. Lastly, through a framework model evaluation consisting of seven items, we validated the metaverse learning analytics framework, ensuring its validity.

• 정보화연구
• /
• 제11권1호
• /
• pp.25-32
• /
• 2014

웹 마이닝은 사용자의 웹 이용 분석을 위해 웹에서 발생한 데이터를 대상으로 유용한 패턴을 찾아내는 기법이다. 하지만 기존의 웹 마이닝은 웹 로그의 연속적인 특성을 충분히 반영하여 분석하지 못하였다. 이를 보완하기 위하여 본 연구에서는 프로세스 마이닝을 활용하여 프로세스 모델에 의한 순차적인 관계에 따른 웹 접속 로그를 분석하는 프레임워크를 제시한다. 프로세스 모델에 기반한 웹 로그 분석은 웹 페이지들을 이동한 사용자들의 행위를 이해하고 문제점과 개선방안을 도출하는 데 유용하게 사용될 수 있다. 본 연구에서는 제안한 방법론을 이용하여 대학정보시스템의 웹 로그를 분석하여 적용 가능성과 그 분석 결과를 제시하였다.

• 한국정밀공학회:학술대회논문집
• /
• 한국정밀공학회 2003년도 춘계학술대회 논문집
• /
• pp.34-37
• /
• 2003

This paper proposes a BPM(Business Process Management) system framework for the NPD(New Product Development) of automotive suppliers. Recently many enterprises change their organization from function-oriented to process-oriented through BPR (Business Process Reengineering). Especially, based on quality systems like QS9000, it is required to documented business processes and continuously improve these processes for customer satisfaction. NPD, the most significant function for industrial competition, is reinforced by the best practices business process to satisfy the requirements of quality systems. The main objective of the paper is the development of the information system that supports the best practices process management. For this, first, we define the requirements of BPM system for NPD based on the viewpoint analysis, and then propose a DES (Design Execution System) framework based on dynamic workflow engine. The DES is addressed in the characteristics of a NPD business process, integrated project management, and process execution. A prototype DES system has been developed in the web environment. Its validity is demonstrated by applying it to an automotive supplier.