• 제목/요약/키워드: knowledge-based information

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Knowledge of atopic dermatitis and food allergies, as well as health information literacy, among North Korean refugee mothers: a descriptive survey study

  • In-Sook Lee;Jeong-Hee Jeon
    • Child Health Nursing Research
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    • 제29권4호
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    • pp.300-312
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    • 2023
  • Purpose: This study investigated knowledge of atopic dermatitis and food allergies, as well as health information literacy, among North Korean refugee mothers with preschool-age children and explored how these variables were related to participants' characteristics. Methods: A descriptive study design was used. Data from 130 North Korean refugee mothers were collected between January and March 2023. Results: The mean scores were 14.48 of 30 for atopic dermatitis knowledge; 2.77 of 10 for food allergy knowledge, and 56.95 of 80 for health information literacy. Significant differences were observed in knowledge of atopic dermatitis based on breastfeeding duration (F=4.12, p=.009), and in knowledge of food allergies based on mixed feeding (F=3.11, p=.049). Health information literacy showed significant relationships with education level (F=3.76, p=.026), occupation (F=3.99, p=.021), checking nutritional information (t=2.91, p=.004), mixed feeding (F=4.50, p=.014), and atopic dermatitis diagnosis (t=6.86, p=.001). Significant positive correlations were observed between atopic dermatitis knowledge, food allergy knowledge, and health information literacy. Conclusion: Personalized educational programs should be implemented to improve awareness of allergies and health information literacy among North Korean refugee mothers, which would help them find, evaluate, and understand health-related information. These programs should focus on providing nutrition and dietary education to promote healthy growth in children and prevent diseases.

공공부문 정보화사업평가 - 지식경영 측면의 접근 (An Evaluation of Information Systems Services in the Public Sector: Knowledge Management Approach)

  • 임준형;명성준;김재영
    • 지식경영연구
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    • 제18권3호
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    • pp.231-246
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    • 2017
  • As an interest in the efficiency of public sector expenditures has spread across the world, Korea has operated a self-evaluation system for government projects as a part of the performance-based budget system. However, an evaluation system for public information technology project has been criticized for its lack of validity, which stems from the uniformity of performance management. This study draws insight from knowledge management literature in an attempt to address the problems with the extant performance evaluation system in public agencies. To realize benefits from IT investment, an agency needs to develop its own performance management model for information systems projects, with a focus on the interaction of IT and organizational system. The knowledge management-based framework for IT projects was verified through a case study, with which we discussed the applicability of knowledge management to the evaluation of public information systems projects.

자원기반이론과 제도화이론에 기초한 연구개발집단의 지식경영 연구모형 (A Model for Studying Knowledge Management of R&D Groups Based on Resource-Based Theories and Institutionalization Theories)

  • 최만기;신창호
    • 지식경영연구
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    • 제4권2호
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    • pp.35-53
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    • 2003
  • In recent years, knowledge has emerged as a major source of competitive advantage due to the continuous development of information and communication technology, the acceleration of globalization, and the entry into knowledge-based society. Thus interests in knowledge management have been increased significantly. Nevertheless theoretical backgrounds of knowledge management are not actively discussed. Studies on the knowledge management of R&D groups initiating knowledge creation and sharing are not actively conducted either. This study, therfore, provides a research model of knowledge management to investigate relationships among resource and institutional characteristics, knowledge management activities, and knowledge management performance of R&D groups based on knowledge-based theories and institutionalization theories. This study further offers research propositions inherent in the model.

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공급망 참여 기업간 잠재적 지식 상호보완성과 지식 교환 (Potential Knowledge Complementarities and Knowledge Exchange in Supply Channel Partners)

  • 류성렬;김경규
    • Asia pacific journal of information systems
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    • 제19권1호
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    • pp.83-111
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    • 2009
  • Despite the growing emphasis on the importance of knowledge exchange among supply chain participants, few companies have fully exploited the knowledge resources held by their supply chain partners. Among many reasons for this phenomenon, recent literature on inter-firm knowledge exchange identifies knowledge complementarities between the supply channel partners as an important determinant of knowledge exchange. Firms participating in a supply chain are likely to exchange partners' complementary knowledge. In order to extract value from them, it is important to recognize the difference between the potential value and the implementation of this potential value. However, the literature fails to distinguish between potential knowledge complementarities and implemented knowledge complementarities. In order to realize the value of potential knowledge complementarities, knowledge should be exchanged and effectively integrated in the supply channel. Further, investigating inter-firm knowledge exchange from both partners' perspectives is important especially when there are interdependencies between the channel partners. The purpose of this research is to investigate the impact of potential knowledge complementarities on knowledge exchange in buyer-supplier relationships by looking at both partners' perspectives. This research also includes trust in partner's competence and inter-organizational information systems (IOIS) as they are relevant when the complementary knowledge flows between organizations. The data required for this field study was collected from 70 buyers and their suppliers in three multinational enterprises in two different industries (Automobile manufacturing and Telecommunication services) headquartered in Korea. The results indicate that potential knowledge complementarities between buyer and supplier do not directly influence knowledge exchange, but indirectly through trust in partner's competence. And the results indicate that competence-based trust and IOIS have direct effects on knowledge exchange. Empirical results also show that IOIS moderates the relationship between potential knowledge complementarities and knowledge exchange. This study is a first attempt to empirically verify the theoretical model about potential knowledge complementarities and to investigate the impact of potential knowledge complementarities on interfirm knowledge exchange. From a theoretical perspective, this study not only clarifies the distinction between potential knowledge complementarities and implemented knowledge complementarities, but also develops an instrument to measure the concept of potential knowledge complementarities in the context of operational and planning knowledge in a supply chain. Further, we develop a theoretical framework suggesting that potential knowledge complementarities of partners in a supply chain affect knowledge exchange directly and indirectly through competence-based trust. The findings from this study have some managerial implications for practicing managers as well. First, buyers should search for suppliers that have potential complementary knowledge, which can be integrated to create synergy through interfirm knowledge exchange. Furthermore, firms must develop mechanisms to identify potential complementary knowledge of partners. Second, firms should continue their endeavor to develop their own unique knowledge so that their knowledge can benefit the entire supply channel. Finally, trust among supply chain partners turns out to be an important factor for interfirm knowledge exchange. Therefore, effective management for engendering trustworthy buyer-supplier relationships should receive appropriate attention from managers.

A Function-Based Knowledge Base for Technology Intelligence

  • Yoon, Janghyeok;Ko, Namuk;Kim, Jonghwa;Lee, Jae-Min;Coh, Byoung-Youl;Song, Inseok
    • Industrial Engineering and Management Systems
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    • 제14권1호
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    • pp.73-87
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    • 2015
  • The development of a practical technology intelligence system requires a knowledge base that structures the core information and its relationship distilled from large volumes of technical data. Previous studies have mainly focused on the methodological approaches for technology opportunities, while little attention has been paid to constructing a practical knowledge base. Therefore, this study proposes a procedure to construct a function-based knowledge base for technology intelligence. We define the product-function-technology relationship and subsequently present the detailed steps for the knowledge base construction. The knowledge base, which is constructed analyzing 1110582 patents between 2009 and 2013 from the United States Patent and Trademark Office database, contains the functional knowledge of products and technologies and the relationship between products and technologies. This study is the first attempt to develop a large-scale knowledge base using the concept of function and has the ability to serve as a basis not only for furthering technology opportunity analysis methods but also for developing practical technology intelligence systems.

건설산업의 지식정보화 기반을 위한 기초적 고찰 (A Survey for Conversion into Knowledge Based Industry of Construction Industry)

  • 이태식;이동욱;배건
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2001년도 학술대회지
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    • pp.462-467
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    • 2001
  • 최근 민간뿐만 아니라 공공부문에서도 경쟁력 제고를 위하여 지식정보화에 대한 관심이 고조되고 있다 건설산업은 타산업에 비하여 제품이나 프로세스 측면에서 지식의 활용도가 높은 분야이다. 건설산업의 경우 R&D 투자 측면에 있어 IMF 이전으로 회복하지 못하고 있으며, 기술수준은 선진국 대비 4.6년의 격차를 보이고 있다. 정보인프라 또한 타산업에 비해 투자와 정보이용률이 저조하며, 지식경영에 있어서는 비전 수립과 정보기술 활용에 있어서 높은 수준을 보이고 있으나 지식의 공유와 평가 활동은 부진한 것으로 파악되었다. 건설산업의 지식정보화 기반 육성을 위해서는 지속적인 투자, 지식 공유에 대한 마인드 고취를 위한 교육, 지식 측정 및 평가를 위한 제도 마련 그리고 조직 문화의 육성이 요구된다.

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Rule Extraction from Neural Networks : Enhancing the Explanation Capability

  • Park, Sang-Chan;Lam, Monica-S.;Gupta, Amit
    • 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.

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Electrical Fire Cause Diagnosis System based on Fuzzy Inference

  • Lee, Jong-Ho;Kim, Doo-Hyun
    • International Journal of Safety
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    • 제4권2호
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    • pp.12-17
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    • 2005
  • This paper aims at the development of an knowledge base for an electrical fire cause diagnosis system using the entity relation database. The relation database which provides a very simple but powerful way of representing data is widely used. The system focused on database construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. In order to store and access to the information concerned with electrical fires, the key index items which identify electrical fires uniquely are derived out. The knowledge base consists of a case base which contains information from the past fires and a rule base with rules from expertise. To implement the knowledge base, Access 2000, one of DB development tools under windows environment and Visual Basic 6.0 are used as a DB building tool. For the reasoning technique, a mixed reasoning approach of a case based inference and a rule based inference has been adopted. Knowledge-based reasoning could present the cause of a newly occurred fire to be diagnosed by searching the knowledge base for reasonable matching. The knowledge-based database has not only searching functions with multiple attributes by using the collected various information(such as fire evidence, structure, and weather of a fire scene), but also more improved diagnosis functions which can be easily wed for the electrical fire cause diagnosis system.

디지털시대 춘천지역 지식기반산업의 발전방안에 관한 연구 (A Study on the Developing Strategies of Knowledge based Industry in ChunChon Area for the Digital Age.)

  • 김치호;라공우;민태홍
    • 통상정보연구
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    • 제8권3호
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    • pp.3-21
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    • 2006
  • This study aims to explore the developing strategies of knowledge based industry in ChunChon Area. This study suggests several strategies for promoting local development in Chunchon Area as follows ; first, building of local innovation system in chunchon area and convergence and diffusion of knowledge based industries. second, making of industrial environment suitable to developing knowledge based industries. third, the establishment of overall industrial supporting systems. fourth, expansion of industrial infra and prevention of the brain drain. fifth, transformation of industrial complex into innovation clusters. The result of this study will be useful for the chief executives officers to make more rational decision making for industrial developing strategies is related to the Knowledge based Industries. The paper also strives to provoke debate in this area with to encouraging further research on the topic.

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