• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2004년도 제5회 정기학술발표대회 논문집
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• pp.153-159
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• 2004

산업의 경쟁력 요소로서 지식의 중요성은 정보기술의 발전과 함께 나날이 커가고 있으며 이에 따라 제시된 기업경영 기법이 지식경영이다. 건설업의 경우도 다양하고 광범위한 지식이 요구되는 산업 특성으로 인하여 지식경영의 중요성은 커지고 있으며, 이에 따라 많은 건설업체가 지식경영을 도입, 추진하고 있다. 본 논문에서는 이러한 건설업체 도입 및 추진사례 중 삼성건설의 "1) 자료형 지식자산과 인적 지식자산으로의 지식규정", "2) 공사 프로세스와의 결합을 통한 지식경영 조직접목", "3) 지식경영에 있어서의 정보화의 역할과 기여" 3가지 추진 사례를 중심으로, 실제 조직에의 적용時 문제점, 해결방안 및 그 결과를 제시함으로써, 건설업에서의 지식경영 발전과 이를 통한 지식산업으로서의 건설업 발전방항을 모색해 보는 기회를 제시해 보고자 한다.

• 한국수학교육학회지시리즈A:수학교육
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• 제45권2호
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• pp.217-230
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• 2006

The purpose of this study is to inquire the building process of Pedagogical Content Knowledge of prospective mathematics teachers about the function concepts. For this purpose, We performed the following steps; First, we performed the survey relaying to the prospective mathematics teachers' teaching experiences, capabilities of their error evaluation of the students, and viewpoints about the function concepts. Second, we performed the survey on the subject-matter knowledge about the function concepts and the key items of designing teaching plans about the function concepts. And then, we interviewed the participants to check the results of the surveys and to supplement the necessary contents. The collected data was relatively correlative and analyzed in the process. As a result, we found the followings; First, subject-matter knowledge of prospective mathematics teachers about the function concepts is different depending on the grades. Second, prospective mathematics teachers are building more extended function concepts through the major subjects. Third, the major subjects are important to build the Pedagogical Content Knowledge of function concepts. Fourth, teaching experience plays an important role in transforming subject-matter knowledge of function concepts to Pedagogical Content Knowledge of it. Fifth, building the Pedagogical Content Knowledge means transferring the teacher's viewpoint from himself/herself to the learner.

• 경영과정보연구
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• 제14권
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• pp.181-193
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• 2004

This paper is concerned with the study of 'Knowledge Management', a paradigm of thought based on the idea that the future will be a knowledge-centered society. This paper also provides an overview of both 'what to manage' and 'how to manage' if an organization wants to develop in this environment. The process of 'Knowledge Management' begins with a decision. Presented with a myriad of information, of which we can't afford to obtain it all, what information is of value to the organization? Further, by systematically organizing not only the primary information but also that which was accumulated in the process, Knowledge Management is capable of suggesting a value-added plan of action. This research presents the necessary principles needed in order to successfully use Knowledge Management, specifically a harmony between the human and technological aspects. There cannot be a static solution to the problem, as the environment of the enterprise's problem is dynamic in nature. Throughout the process, the enterprise will constantly change its strategy and structure in order to adapt to variable knowledge, technology, strategy, regulations, consumer interest, etc... The essential constant of these problems is the importance of spending on education. Investments in educations help develope a infrastructure for Information Technology, the development of knowledge distribution strategies, and the creation of efficient Knowledge Management policy.

• 지식경영연구
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• 제20권3호
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• pp.107-117
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• 2019

Successful start-ups are driven by opportunities, teams, and the resources needed to grow the business. Systematic business process management is required to maximize the efficiency of business operations. However, the existing entrepreneurial process research has limitations that it is difficult to intuitively and dynamically provide the necessary information for start-up operation, and it is necessary to define necessary information (resources, stakeholders, activities). In this study, we suggest the "Start-up Process Repository System" which overcomes limitations of existing entrepreneurial process research. The architecture for the Start-up Process Repository System provides five layers and enables each layer to interact four interfaces between each layer. This study improves start-ups' accessibility to the start-up business process repository created from the existing repository architecture and increases the utility derived from it by providing methodologies for components that offer useful start-up knowledge.

• 지식경영연구
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• 제11권5호
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• pp.1-23
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• 2010

In order to provide a better understanding about the phenomenon of KM assimilation, this study attempts to conceptually develop and empirically compare two different models: (1) the first model, which considers the KM process as the flow of knowledge that plays an intervening role between knowledge stocks (i.e., knowledge worker, technical knowledge infrastructure, external knowledge linkage, knowledge strategy, and internal knowledge climate) and the level of KM assimilation; and (2) the second model is a simple direct effect formulation without any distinction between knowledge stock and flow. These two models were then tested and compared using the responses of 187 Korean organizations that had already implemented enterprise-wide KM systems. The findings indicate that the two models are useful in explaining successful KM assimilation. However, the first causal model with the distinction between knowledge stock and flow assesses the effectiveness of KM more accurately than the second model without the distinction. Interestingly, the KM process was shown to be the most critical factor for the proliferation of KM activities across an organization. The findings of this study are expected to serve not only as early groundwork for researchers hoping to understand KM and its effective assimilation in organizations, but should also provide practitioners with guidelines as to how they can enhance their KM assimilation level so as to improve their organizational performance.

• 한국정보시스템학회지:정보시스템연구
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• 제10권2호
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• pp.165-192
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• 2001

Knowledge Management (KM) is the systematic, explicit, and deliberate building, renewal, and application of knowledge to maximize an enterprise's knowledge-related effectiveness and performance from its knowledge assets. KM applies systematic approaches to find, understand, and use knowledge to create new capabilities, solve problems, enable superior performance, and encourage innovation. The purpose of this research is to identify the relationship of KM capabilities (KM infrastructures and KM processes) and organizational effectiveness and performance. An empirical research of the relationship of knowledge management capabilities and organizational effectiveness and performance is conducted from the information systems and knowledge management literature in order to access the following questions: (1) Does the knowledge management infrastructure contribute to the organizational effectiveness and peformance? (2) Does the knowledge management process contribute to the organizational effectiveness and peformance? The research design employs a mail survey questionnaire for gathering data from 500 firms in a number of industries. From a mail survey of 61 top managers of knowledge management, the results of empirical analyses provide the following major findings: (1) While the external effectiveness of organization is influenced by the cultural infrastructure of knowledge management, the overall performance of organization is influenced by the structural infrastructure of knowledge management. (2) While the external effectiveness of organization is influenced by the application and protection processes of knowledge management, the overall performance of organization is influenced by the knowledge acquisition process of knowledge management.

• IEIE Transactions on Smart Processing and Computing
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• 제3권5호
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• pp.338-344
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• 2014

As the role of information collection becomes increasingly important in the enormous data environment, there is growing demand for more intelligent information technologies for managing complex data. On the other hand, it is difficult to find a solution because of the data complexity and big scaled amount. Accordingly, there is a need for a special intelligent knowledge base frame that can be operated by itself flexibly. In this paper, by adopting switching function for signal transmission in the synapse of the human brain, I/E selective activation based knowledge reconfiguring mechanism is proposed for building more intelligent information management system. In particular, knowledge network design, a special knowledge node structure, Type definition, I/E gauge definition and I/E matching scheme are provided. Using these concepts, the proposed system makes the functions of activation by I/E Gauge, selection and reconfiguration. In a more efficient manner, the routing and reasoning process was performed based on the knowledge reconfiguration network. In the experiments, the process of selection by I/E matching, knowledge reconfiguration and routing & reasoning results are described.

• 한국지능시스템학회논문지
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• 제8권6호
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• pp.70-77
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• 1998

Although many methods of knowledge acquisition has been developed in the exper systems field, such a need form causal knowledge acquisition hs not been stressed relatively. In this respect, this paper is aimed at suggesting a causal knowledge acquisition process, and then investigate the causal knowledge-based inference process. A vehicle for causal knowledge acquisition is FCM (Fuzzy Cognitive Map), a fuzzy signed digraph with causal relationships between concept variables found in a specific application domain. Although FCM has a plenty of generic properties for causal knowledge acquisition, it needs some theoretical improvement for acquiring a more refined causal knowledge. In this sense, we refine fuzzy implications of FCM by proposing fuzzy causal relationship and fuzzy partially causal relationship. To test the validity of our proposed approach, we prototyped a causal knowledge-driven inference engine named CAKES and then experimented with some illustrative examples.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.448-455
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• 2001

Recently, many enterprises have attempted to capitalize knowledge assets on data warehouse (DW). It has been recognized as strategic core process to create corporate competitive advantage and implement enterprise e-biz strategies. However, most approaches to represent knowledge and decision process have limits in considering various knowledge types, their relationships and continuity in knowledge formulation. In addition, they are so inclined to one side such as concept-oriented frameworks or technology-oriented ones. They lack universal and wide-ranging features. This paper presents a comprehensive methodology to accumulate knowledge capital on DW via a properly grained hypermedia model. The methodology consists of three phases: knowledge requirement elicitation, hypermedia modeling, and system implementation. A real-life case for medical DW development is presented to demonstrate the usefulness of the proposed methodology. This methodology is effective when an organization accumulates knowledge assets to put the corporate e-biz or cre-biz strategy into practice.

• 지식경영연구
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• 제9권3호
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• pp.43-57
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• 2008

This study examines the impact of knowledge processes (KP) on the performance of knowledge management systems (KMS). It posits that task needs and available functionality of technology existing in an organization could influence the usability of KP and the KMS performance. A firm-level structural model was developed based on data collected from corporate KM users. Survey-based research was carried out to test this model. Following questionnaire development, validation, and pretest with a pilot study, data were collected from 886 knowledge management (KM) users including directors, managers, and workers in a South Korea-based company, Korea Asset Management Corporation (KAMCO), to measure the task needs and available functionality of technology to improve the KMS performance. Results show that the matching between the two factors-technology and task-had a significant influence on the usability of KP and the KMS performance, and a better usability of KP has positive impact on the KMS performance. Implications on KM practices and KMS designs are also discussed.