• World Technopolis Review
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• 제7권2호
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• pp.74-81
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• 2018

The concept of Smart Specialization represents a major shift in EU structural policy. It recognizes place-specific qualities and particularly locally embedded knowledge to stimulate innovative economic performance. Although there have been debates about the role of universities as innovation incubator, deliberations about their influence in regional innovation strategies (RIS3) in the context of smart specialization approaches are still under-represented. This paper therefore aims at discussing the potential role of universities and related incubator environments in smart specialization strategies, which is illustrated with the help of a German state, Mecklenburg-Vorpommern.

• 지식경영연구
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• 제19권2호
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• pp.163-185
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• 2018

In order to solve problems in an uncertain and complicated management environment of the modern world, a creative solution that combines diverse perspectives, knowledge, and effort based on diversity within an organization is required. Smart work environment provides an opportunity to express the potential diversity of an individual, extending the source of ideas to the organization, enhancing communication, and linking and sharing information and knowledge. So, this results in increased creative behavior. The purpose of this study is to investigate the effect of the process of connecting and sharing information and knowledge of organizational members on creative behavior and the effect of smart work environment in the process. The purpose of this study is to identify roles of job autonomy, self-efficacy, knowledge sharing and smart work environment in creative process. For the study, 353 surveys with work use group(156 people) and unused group(197 people). Statistical analysis included validity and reliability analysis, structural model analysis. The results showed that self-efficacy and job autonomy had positive effects on creative behavior and knowledge sharing, and job autonomy had a positive effect on self-efficacy. Knowledge sharing has a positive effect on creative behavior, and mediates the relationship between self-efficacy, job autonomy and creative behavior. Particularly, knowledge sharing has a more positive effect on smart work use group. In case of smart work use group, self-efficacy and job autonomy have a relatively high influence on knowledge sharing rather than direct influence on creative behavior appear. This result implies that the achievements of smart work are revealed in terms of knowledge sharing and creative behavior.

• 감성과학
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• 제5권4호
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• pp.33-43
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• 2002

세계는 지금 정보화사회를 넘어 지식사회(Knowledge Society)에 돌입하였다. 즉, 지식이 가장 강력한 경쟁력의 원천이 되고 있다. 이러한 환경변화는 디자인에 있어서도 새로운 경영 패러다임을 요구하고 있으며, 지식경영에 대한 체계적인 연구와 실무적 접근이 필요한 시점이라 할 수 있다. 따라서 본 연구는 디자인 분야에 지식경영을 도입하여 디자인적 맥락에서 지식경영에 대한 이론적 체계를 재구축하고, 디자인을 통한 지식창출 패러다임을 제시하고자 하였다. 본 연구의 목적은 디자인에 지식경영을 도입하기 위한 기초 연구로서 디자인에 적합한 지식경영의 이론적 프레임웍을 개발하는 것이다. 이에 본 연구에서는 이론적 고찰로서 지식경영과 지식경영시스템에 관련된 선행 연구들을 살펴보고, 디자인에 적합한 지식경영 도입 방안과 이론적 프레임웍을 제시하였다 또한 지식경영시스템을 크게 디자인 인프라, 지식정보시스템, 의사결정지원시스템, 지식역량으로 구성하였으며, 지식경영시스템의 기술적 특성을 정보기술측면에서 분석하였다.

• 한국지능시스템학회논문지
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• 제13권3호
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• pp.366-370
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• 2003

In this research, we suggest a hybrid intelligent Web recommendation systems based on Web data mining and case-based reasoning (CBR). One of the important research topics in the field of Internet business is blending artificial intelligence (AI) techniques with knowledge discovering in database (KDD) or data mining (DM). Data mining is used as an efficient mechanism in reasoning for association knowledge between goods and customers＇ preference. In the field of data mining, the features, called attributes, are often selected primary for mining the association knowledge between related products. Therefore, most of researches, in the arena of Web data mining, used association rules extraction mechanism. However, association rules extraction mechanism has a potential limitation in flexibility of reasoning. If there are some goods, which were not retrieved by association rules-based reasoning, we can＇t present more information to customer. To overcome this limitation case, we combined CBR with Web data mining. CBR is one of the AI techniques and used in problems for which it is difficult to solve with logical (association) rules. A Web-log data gathered in real-world Web shopping mall was given to illustrate the quality of the proposed hybrid recommendation mechanism. This Web shopping mall deals with remote-controlled plastic models such as remote-controlled car, yacht, airplane, and helicopter. The experimental results showed that our hybrid recommendation mechanism could reflect both association knowledge and implicit human knowledge extracted from cases in Web databases.

• 산업경영시스템학회지
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• 제23권55호
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• pp.85-96
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• 2000

This paper describes IDMS, a graph-based modeling system that supports problem structuring. We employs influence diagram as a problem representation tool, that is, a modeling tool. In particular, IDMS is designed as domain-independent shell. Therefore, a modeler can change the contents of the knowledge base to suit his/her own interested domain. Since the knowledge base of IDMS contains both modeling knowledge and domain knowledge, IDMS provides not only the syntactic support for modeling tool, but also the semantic support for problem domain. To apply the method in the real world context, we tested IDMS on the process selection problem in business reengineering, which is typical semi-structured problem.

• 지식경영연구
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• 제21권1호
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• pp.99-116
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• 2020

Text is the most widely used means of exchanging or expressing knowledge and information in the real world. Recently, researches on structuring unstructured text data for text analysis have been actively performed. One of the most representative document embedding method (i.e. doc2Vec) generates a single vector for each document using the whole corpus included in the document. This causes a limitation that the document vector is affected by not only core words but also other miscellaneous words. Additionally, the traditional document embedding algorithms map each document into only one vector. Therefore, it is not easy to represent a complex document with interdisciplinary subjects into a single vector properly by the traditional approach. In this paper, we introduce a multi-vector document embedding method to overcome these limitations of the traditional document embedding methods. After introducing the previous study on multi-vector document embedding, we visually analyze the effects of the multi-vector document embedding method. Firstly, the new method vectorizes the document using only predefined keywords instead of the entire words. Secondly, the new method decomposes various subjects included in the document and generates multiple vectors for each document. The experiments for about three thousands of academic papers revealed that the single vector-based traditional approach cannot properly map complex documents because of interference among subjects in each vector. With the multi-vector based method, we ascertained that the information and knowledge in complex documents can be represented more accurately by eliminating the interference among subjects.

• Journal of Contemporary Eastern Asia
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• 제13권1호
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• pp.1-4
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• 2014

• Child Health Nursing Research
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• 제30권3호
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• pp.199-209
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• 2024

Purpose: This study aimed to assess the knowledge level of first-time mothers regarding digestive health issues in infancy and to examine the utilization of healthcare facilities for such problems. Methods: Data from 119 first-time mothers of infants under 6 months of age were analyzed. Descriptive statistics, t-test, and one-way analysis of variance (ANO-VA) were conducted using the SPSS software. Results: The average correct response rate for first-time mothers' knowledge of digestive health problems in infancy was 61.9%. The highest correct response rate was observed for infantile colic, while diarrhea had the lowest. Less than 50% of mothers received education on infant digestive health problems across all categories. Among digestive health problems in infancy, diarrhea exhibited the highest rate of healthcare utilization, whereas infantile colic had the lowest. First-time mothers' knowledge of digestive health problems in infancy varied based on maternal age (t=-3.66, p<.001), education level (t=-2.26, p=.026), and planned pregnancy (t=3.24, p=.002). Moreover, mothers who received education on infant digestive health problems demonstrated better overall knowledge of digestive health problems. Conclusion: The rate of education regarding digestive health problems during infancy among first-time mothers was < 50%. Furthermore, mothers educated on infant digestive health issues exhibited improved knowledge. Therefore, it is necessary to provide appropriate pre-education to primiparous common gastrointestinal health issues in infants.

• 대한수학교육학회지:수학교육학연구
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• 제13권4호
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• pp.447-462
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• 2003

본 연구의 목적은 예비 초등교사의 덧셈과 뺄셈에 대한 교수학적 지식이 어떠한가를 알아보는 것이다. 29명의 예비초등교사가 연구에 참여하였으며 자료는 개방형 답을 하는 질문지를 사용하여 수집하였다. 분석 결과 예비초등교사들은 결과를 구하는 덧셈이나 뺄셈식을 문장제로 표현하는 것에는 능숙하였으나 감수나 가수를 구하는 식을 문장제로 표현하는 것에는 의미론적 구성에 어려움을 나타내었다. 또한 합병과 비교의 상황과 같이 두 집합의 관계에 대한 이해가 매우 부족함을 보여주었다. 교수학적 방법으로는 알고리즘에 의한 절차적 지식을 주로 가지고 있었으며 각 지식들 간의 관계를 이해하는 개념적 지식이 부족한 것으로 나타났다. 이러한 분석은 초등교사 양성 대학의 수학과 프로그램 개발에 기초가 될 것이다.

• 한국한의학연구원논문집
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• 제12권1호
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• pp.1-12
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• 2006

Recently according to the WIPO's policy of preserving traditional knowledge, constructing the database of traditional knowledge is in progress. To maximize the retrieving power of the knowledge resource systems which will be developed later, it is necessary to construct the ontology for the concepts used by traditional knowledge. In order to construct the ontology systematically, a standardized ontology representation method is needed, and OWL(Web Ontology Language) is the recommendation of W3C(World Wide Web Consortium) and is widely used. Ontology tools can be used to ease the construction of OWL ontology, but no research about the comparison of OWL ontology tools exists. This paper compares the tools of OWL by an objective point of view and with that one can make a decision of using the appropriate tool for constructing OWL ontologies.