• Asia pacific journal of information systems
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• 제14권2호
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• pp.115-130
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• 2004

This paper proposes how to build an expert profile database in KMS, which provides the information of expertise that each expert possesses in the organization. To manage tacit knowledge in a knowledge management system, recent researches in this field 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 so that users can contact them for help. In this paper, we develop a framework to automate expert classification using a text categorization technique called Vector Space Model, through which an expert database composed of all the compiled profile information is built. This approach minimizes the maintenance cost of manual expert profiling while eliminating the possibility of incorrectness and obsolescence resulted from subjective manual processing. Also, we define the structure of expertise so that we can implement the expert classification framework to build an expert database in KMS. The developed prototype system, "Knowledge Portal for Researchers in Science and Technology," is introduced to show the applicability of the proposed framework.

• Asia pacific journal of information systems
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• 제6권2호
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• pp.77-105
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• 1996

The accuracy of knowledge is a major concern for expert system developers and users. Machine learning approaches have recently been found to be useful in knowledge acquisition for expert systems. However, the accuracy of concept acquired from machine learning could not be analyzed in most cases. In this paper we develop a comprehensive knowledge error analysis methodology for practical use of expert systems. Decision tree induction is an important type of machine learning method for business expert systems. Here we start to analyze with knowledge acquired from decision tree induction method, and extend the results to develop error analysis methodology for general machine learning methods. We give several examples and illustrations for these results. We also discuss the applicability of these results to multistrategy learning approaches.

• 지식경영연구
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• 제1권1호
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• pp.65-80
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• 2000

The main purpose of this study is to answer a question that how a company can be a learning organization producing useful knowledge by applying neuro-cybernetics approach. This approach borrows its working principles from the human body systems. The current study urges that the principles can be applied to build a learning organization. System 1 to 5, the core parts of neuro-cybernetics, are explained. And it is explored that how these systems can be designed for a company to be a learning organization. Limitations of the current study are discussed at the end of the paper.

• Asia pacific journal of information systems
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• 제30권2호
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• pp.353-373
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• 2020

This paper tries to closely look at compliance knowledge relatedness and IT relatedness based on Tanriverdi's 'relatedness' concept. Also, this paper's main focus lies on how knowledge relatedness and IT relatedness influence compliance performance through compliance knowledge exploitation. The present study conducted a full-scale survey and finalized questionnaire was sent to compliance managers of 187 Korean multi-business firms. This study found (1) the impact of compliance knowledge relatedness on compliance performance, (2) the mediating role of knowledge exploitation on the relationship between compliance knowledge relatedness and compliance performance, and (3) the interaction effect of IT relatedness and compliance knowledge relatedness on knowledge exploitation. This paper contributes to both academic and business world by widening applicability of theories and providing guidelines conducive to improved compliance performance of corporations.

• 한국경영과학회지
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• 제20권1호
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• pp.159-177
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• 1995

The objective of this paper is to propose a knowledge-based fuzzy post adjustment so that unstructured problems can be solved more realistically by expert systems. Major part of this mechanism forcuses on fuzzily assessing the influence of various external factors and accordingly improving the solutions of unstructured problem being concerned. For this purpose, three kinds of knowledge are used : user knowledge, expert knowledge, and machine knowledge. User knowledge is required for evaluating the external factors as well as operating the expert systems. Machine knowledge is automatically derived from historical instances of a target problem domain by using machine learning techniques, and used as a major knowledge source for inference. Expert knowledge is incorporate dinto fuzzy membership functions for external factors which seem to significantly affect the target problems. We applied this mechanism to a prototyoe expert system whose major objective is to provide expert guidance for stock market timing such as sell, buty, or wait. Experiments showed that our proposed mechanism can improve the solution quality of expert systems operating in turbulent decision-making environments.

• 지능정보연구
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• 제1권2호
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• pp.57-71
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• 1995

This paper presents a rule extraction algorithm RE to acquire explicit rules from trained neural networks. The validity of extracted rules has been confirmed using 6 different data sets. Based on experimental results, we conclude that extracted rules from RE predict more accurately and robustly than neural networks themselves and rules obtained from an inductive learning algorithm do. Rule extraction algorithm for neural networks are important for incorporating knowledge obtained from trained networks into knowledge based systems. In lieu of this, the proposed RE algorithm contributes to the trend toward developing hybrid and versatile knowledge-based system including expert systems and knowledge-based decision su, pp.rt systems.

• Asia pacific journal of information systems
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• 제32권1호
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• pp.151-167
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• 2022

This paper is motivated by social influence theory implying the multilevel nature of knowledge management (KM) in an organization. Organizational knowledge is generated and distributed by individuals from different groups across organizational boundaries. Its transfers are supported by IS/IT practice, i.e., the individual and collective use of the technology available in the organization. I propose a multilevel perspective to explain how IS/IT practice supports multilevel KM capabilities to manage organizational knowledge successfully and how the effectiveness of multilevel KM capabilities expands into the improvement of multilevel task-related organizational performance. The multilevel KM theory extends the knowledge-based view of the firm by describing the dynamic process through which strategic values of knowledge are generated by IS/IT practice across the organizational levels. This paper also discusses multilevel insights on the strategic value of organizational learning based on the social context of organizations.

• 지식경영연구
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• 제3권1호
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• pp.93-106
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• 2002

Knowledge management is a recent area in business administration that deals with how to leverage knowledge as a key asset and resource in modern organizations. Also, Knowledge systems are the single most important industrial and commercial offspring of the discipline called artificial intelligence. A Case Based Reasoning(CBR) system solves new problems by recalling adapting previous solutions. This paper presents the results of a recent empirical study. Furthermore this study proposes a CBR Methodology designed to manage knowledge of Hana company under e-business.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.567-576
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• 2020

This study develops a mediating model to explore the relationships between organizational characteristics, manager's knowledge, management commitment, user involvement, information quality, and management information system effectiveness in small- and medium-sized enterprises in Vietnam. Adapting scales from previous research, the authors designed questionnaires, which they distributed to respondents in Vietnamese small- and medium-sized enterprises. Also, by employing a meta-analytic path analysis throughout structural equation modelling (SEM) with sample of 356 respondents, authors indicate that organizational characteristics are directly related to management information systems effectiveness. Moreover, manager's knowledge, user involvement, and information quality show their important roles in the increase of management information system effectiveness, yet management commitment does not indicate a similar role in the growth of management information system effectiveness. Bootstrapping is utilized to discover the meditating role of information quality, illustrating that quality information mediates the linkages between user involvement, organizational characteristics, and management information systems. However, the mediating role of information quality in the relationship between management commitment, manager's knowledge, and management information systems is not significant. This study contributes to the management information system literature as well as to enhance MIS effects in small and medium-sized enterprises.

• 한국정보시스템학회지:정보시스템연구
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• 제16권4호
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• pp.131-155
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• 2007

The purpose of this thesis is to study on the philosophical analysis model and its methodological application of information systems research evaluation from critical realist perspective. Fist of all, I examine ontological epistemological methodological assertions of critical realism. Because the philosophy of critical realism is an opportunity for information systems study. I examine Dobson and Mutch's critical realist perspective on actors-structure model. I suggest a critical realist actors-praxis-structure model. This model provides the potential for a new approach to social investigations in its provision of an ontology for the analytical separation of structure and agency. Of most importance might be the incorporation of non-humans into the analysis of social interaction and of technology into the elaboration of structures. I also examine Tsoukas's critical realistic meta-theory of management. I suggest a critical realist IS management model. This model elucidate the nature of management and delineate the scope of applicability of various perspectives on management. The causal powers of management reside in the real domain and, taken together, their logics are contradictory, the effects of their contradictory composition are contingent upon prevailing contingencies. I analyze Carlsson's theory of design knowledge. His framework builds on that the aim of IS design science research is to develop practical knowledge for the design and realization of different classes of IS initiatives, where IS are viewed as socio-technical systems and not just IT artefacts. The framework proposes that the output of IS design science research is practical IS design knowledge in the form of field-tested and grounded technological rules. The IS design knowledge is developed through an IS design science research cycle. In conclusion, I think that IS actors-praxis-structure model, meta-theoretical IS management model, and IS design knowledge model according to critical realistic approach are very useful for IS research evaluation. Nevertheless, important problems are left not resolved.