• Title/Summary/Keyword: meta information

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A meta-analysis of relationship between the related factors of the TAM: Focused on behavioral intention for smartphone (기술수용모델 관련 요인들간 관계에 대한 메타분석: 스마트폰 행동의도를 중심으로)

  • Nam, Soo-Tai;Kim, Do-Goan;Lee, Yun-Hee;Jin, Chan-Yong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.101-102
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    • 2013
  • 메타분석은 여러 실증연구의 정량적인 결과를 통합과 분석을 통해 전체 결과를 조망할 수 있는 기회를 제공함과 분석들의 분석을 한다는 의미로 사용된다. 기술수용모델은 경영정보시스템 분야에서 여러 가지 주제로 다루어지고 있다. 최근 정보시스템과 정보통신 분야에 가장 큰 이슈는 Smart이다. 이러한 시점에 기술수용모델을 기반으로 스마트폰 사용자들의 행동의도에 관한 연구들을 문헌분석과 메타분석 실시하였다. 분석결과를 바탕으로 선행연구와 비교분석을 통해 차이점을 논의 하였다.

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A meta-analysis of relationship between satisfaction, trust and loyalty on e-commerce (전자상거래 연구에서 만족, 신뢰 및 충성도 관계에 대한 메타분석)

  • Nam, Soo-Tai;Kim, Do-Goan;Lee, Yun-Hee;Jin, Chan-Yong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.189-190
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    • 2013
  • 메타분석은 여러 실증연구의 정량적인 결과를 통합과 분석을 통해 전체 결과를 조망할 수 있는 기회를 제공함과 분석들의 분석을 한다는 의미로 사용된다. 선행연구를 살펴보면 만족과 충성도 간의 관계에 관한 연구가 43편, 신뢰와 충성도 간의 관계가 24편으로 전자가 많은 것을 알 수 있다. 만족과 신뢰 간의 관계는 13편, 신뢰와 만족 간의 관계는 8편의 연구를 확인할 수 있었다. 이러한 전자상거래 연구에서 만족, 신뢰와 충성도 간의 관계에 관한 연구들을 문헌연구와 메타분석을 실시하였다.

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A Construction of the C_MDR(Component_MetaData Registry) for the Environment of Exchanging the Component (컴포넌트 유통환경을 위한 컴포넌트 메타데이타 레지스트리 구축 : C_MDR)

  • Song, Chee-Yang;Yim, Sung-Bin;Baik, Doo-Kwon;Kim, Chul-Hong
    • Journal of KIISE:Computing Practices and Letters
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    • v.7 no.6
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    • pp.614-629
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    • 2001
  • As the information-intensive society in 21c based on the environment of global internet is promoted, the software is getting more large and complex, and the demand for the software is increasing briskly. So, it becomes an important issue in academic and industrial field to activate reuse by developing and exchanging the standardized component. Currently, the information services as a product type of each company are provided in foreign market place for reusing a commercial component, but the components which are serviced in each market place are different, insufficient and unstandardized. That is, construction for Component Data Registry based on ISO 11179, is not accomplished. Hence, the national government has stepped up the plan for sending out public component at 2001. Therefore, the systems as a tool for sharing and exchange of data, have to support the meta-information of standardized component. In this paper, we will propose the C_MDR system: a tool to register and manage the standardized meta-information, based upon ISO 11179, for the commercialized common component. The purpose of this system is to systemically share and exchange the data in chain of acceleration of reusing the component. So, we will show the platform of specification for the component meta-information, then define the meta-information according to this platform, also represent the meta-information using XML for enhancing the interoperability of information with other system. Moreover, we will show that three-layered expression make modeling to be simple and understandable. The implementation of this system is to construct a prototype system of the component meta-information through the internet on www, this system uses ASP as a development language and RDBMS Oracle for PC. Thus, we may expect the standardization of the exchanged component metadata, and be able to apply to the exchanged reuse tool.

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Personalized Search Service in Semantic Web (시멘틱 웹 환경에서의 개인화 검색)

  • Kim, Je-Min;Park, Young-Tack
    • The KIPS Transactions:PartB
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    • v.13B no.5 s.108
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    • pp.533-540
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    • 2006
  • The semantic web environment promise semantic search of heterogeneous data from distributed web page. Semantic search would resuit in an overwhelming number of results for users is increased, therefore elevating the need for appropriate personalized ranking schemes. Culture Finder helps semantic web agents obtain personalized culture information. It extracts meta data for each web page(culture news, culture performance, culture exhibition), perform semantic search and compute result ranking point to base user profile. In order to work efficient, Culture Finder uses five major technique: Machine learning technique for generating user profile from user search behavior and meta data repository, an efficient semantic search system for semantic web agent, query analysis for representing query and query result, personalized ranking method to provide suitable search result to user, upper ontology for generating meta data. In this paper, we also present the structure used in the Culture Finder to support personalized search service.

Design of Unification Meta-data and Entity-Relationship Model for Educational Digital Content (교수.학습 디지털 컨텐트 통합 메타데이터 및 개체-관계 모델 설계)

  • Koo, Duk-Hoi
    • Journal of The Korean Association of Information Education
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    • v.6 no.3
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    • pp.317-327
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    • 2002
  • The need to support the ICT-using teaching and learning at elementary and secondary schools has led to various digital content service systems. The systems are designed to target the teachers and the students as the major users. The problems involved in them is that they do not provide such services as the integrated search and the systematic use of interface in terms of actual users' use of teaching and learning digital content. It's because they have been created at demands at each time. In an attempt to solve this problem, this study set out to suggest the integrated meta-data items of a teaching and learning digital content, which reflects the Dublin Core Education, the international meta-data standard. It also aimed to design an entity-relationship model to realize the digital content. The results of the integrated meta-data and the entity-relationship model will be utilized as a basic research to help the users to search for various teaching and learning digital contents on an integrated basis and to realize a consistent user interface. Furthermore, they are expected to contribute to the development a service system the teachers and the students can make better use of.

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Factors related to infection management performance of health workers at Long-Term Care Hospitals in Korea: systemic review and meta analysis (국내 요양병원 종사자의 감염관리 수행도 관련요인 연구: 체계적 고찰 및 메타분석)

  • Kim, Eun Kyung;Park, Heeok
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.857-866
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    • 2022
  • The current study is a meta analysis study to identify the factors related to infection management performance and the effect size according to the factors. Data collection was included from the data of KMBASE, RISS, KISS, DBpia, National Library of Korea, Pubmed, and EMBASE. R3.5.1 was used for the data analysis. A total of 22 factors were identified. The meta analysis showed the effect size as follows: gender(.16), age(.30), education(.32), beds(.28), needs of education in infection management(.44), participating in education of infection management(.25), recognition/knowledge in infection management(.70). Based on the findings, evidence based programs need to be provided to improve the infection management performance of health workers at Long-Term Care Hospitals.

A Meta-Analysis of Relationship between Perceived Value, Risk and Behavioral Intention on E-Commerce (전자상거래 연구에서 인지된 가치, 위험 및 행위의도 간의 관계에 대한 메타분석)

  • Nam, Soo-tai;Jin, Chan-yong
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.11 no.4
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    • pp.179-189
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    • 2016
  • Recently, the convergence of knowledge based society and information telecommunication technologies has a rapid impact on politics, economics and various fields. Meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Meta-analysis, can see the direction and size of the relationship between variables using the concept of the effect size. The factor determining behavioral intention of consumer in e-commerce can say that critically dependent variable. In a predictive factor determining behavioral intention is typical that perceived value and perceived risk. We conducted a meta-analysis and review of between perceived value, perceived risk and behavioral intention on e-commerce researches. This study focused a total of 33 research papers that established causal relationships in between perceived value, risk and behavioral intention on e-commerce published in Korea academic journals during 2000 and 2016. The result of the meta-analysis might be summarized that the effect size in the path from the perceived value to the behavioral intention with the effect size (r = .526), listed an explanatory power of 28%. In addition, it showed that the effect size in the path from perceived risk to the behavioral intention with the effect size (r = -.220), listed a negative explanatory power of 5%. Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.

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A Study on the Scheme of Implementing Meta-data Based Applications for Enterprises (메타 데이터 기반의 기업용 애플리케이션 구축 방안에 관한 연구)

  • Jang, Gil-Sang
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.9
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    • pp.135-145
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    • 2009
  • Generally, the phases of constructing information systems are consisted of systems planning and selection, system analysis, system design, and system implementation and operation. These systems require many efforts and costs for additional development of modification requirements due to a frequent changes of business environments and business processes. Especially, inconsistencies between system design and system implementation usually happen during development steps because of the difficulties of program developments due to difficulties of capturing exact user requirements and frequent changes of user requirements. This paper proposes a scheme of implementing meta-data based applications for enterprises in order to reduce inconsistencies between system design and system implementation and to overcome limits of the existing coding-based development methods of applications which must use until disuse if they are developed once. Also, this paper presents a framework of repository system to systematically manage and utilize meta-data. The core concept of the proposed scheme makes outputs generated in the phases of system analysis and design into meta-data and is to easily develop and customize application programs using meta-data repository. Also, to show the applicability of the proposed scheme, it is applied to implement ERP system of 'H' automotive part manufacturer. As a result, the proposed scheme can gain improvements such as easiness and productivity of program development, easiness of maintenance, reusability of program components, etc.

A Meta-regression Analysis of Wetland Valuation Studies in Korea (우리나라 습지의 환경적 가치 : 메타회귀분석)

  • Ahn, SoEun
    • Environmental and Resource Economics Review
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    • v.16 no.1
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    • pp.65-98
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    • 2007
  • Wetland provides various environmental services as well as marketable goods to human society. This paper presents a meta-analysis of the wetland valuation studies conducted in Korea during the past decade. Meta-analysis is a technique of summarizing research results from the separate but related studies using statistical methods. The objectives of the paper is to identify the main factors affecting the wetland values and to examine the applicability of meta-regression analysis for summarizing the information from valuation studies of natural ecosystem. The total of 64 observations from 24 studies are assembled, and we observe significant differences in wetland values depending on the characteristics of the studies. With the statistical significance, our results indicate that the method employed affects the wetland values while the wetland function evaluated affects little. In addition, we found that the size of wetland is negatively associated with the values, implying that wetland values exhibit the decreasing returns to scale. The evidences from our empirical analysis suggest that the meta-analysis has a potential as a tool to synthesize the research results from valuation studies and to provide useful information to policy makers. However, this study acknowledges that more effort should be dedicated toward the construction of DB on valuation studies as well as the research on the model improvement to enhance the validity and reliability of meta-analysis.

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Statistical Data Extraction and Validation from Graph for Data Integration and Meta-analysis (데이터통합과 메타분석을 위한 그래프 통계량 추출과 검증)

  • Sung Ryul Shim;Yo Hwan Lim;Myunghee Hong;Gyuseon Song;Hyun Wook Han
    • The Journal of Bigdata
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    • v.6 no.2
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    • pp.61-70
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    • 2021
  • The objective of this study was to describe specific approaches for data extraction from graph when statistical information is not directly reported in some articles, enabling data intergration and meta-analysis for quantitative data synthesis. Particularly, meta-analysis is an important analysis tool that allows the right decision making for evidence-based medicine by systematically and objectively selects target literature, quantifies the results of individual studies, and provides the overall effect size. For data integration and meta-analysis, we investigated the strength points about the introduction and application of Adobe Acrobet Reader and Python-based Jupiter Lab software, a computer tool that extracts accurate statistical figures from graphs. We used as an example data that was statistically verified throught an previous studies and the original data could be obtained from ClinicalTrials.gov. As a result of meta-analysis of the original data and the extraction values of each computer software, there was no statistically significant difference between the extraction methods. In addition, the intra-rater reliability of between researchers was confirmed and the consistency was high. Therefore, In terms of maintaining the integrity of statistical information, measurement using a computational tool is recommended rather than the classically used methods.