• Title/Summary/Keyword: Collaboration Index

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Development of Compliance Collaboration Index for Trade Supply Chain (무역공급망 법규준수 협력지수 개발)

  • Kim, Hee-Soo;Ma, Sun-Duck
    • Journal of Korean Society for Quality Management
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    • v.38 no.1
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    • pp.34-41
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    • 2010
  • This paper proposes the compliance collaboration index(CCI) which can be useful to measure the level of supply chain's compliance collaboration quantitatively. It can be shown that the proposed index is quite flexible when applied in real situations at the request of the index user. For instance, even if only one company of many companies in trade supply chain to be tested through the AEO certification test is not satisfied the required specification. the index is designed in such a way that the score can't be higher than a certain predetermined value. The proposed CCI can be used as the guidance for a trade company's collaboration process control strategy to increase the efficiency of compliance improvement activity. In this paper, we use the Analysis Hierarchy Process(AHP) which is one of the methods recommended by ISO/ICE as a measurement of weight to be assigned to the relevant parameters considered in the CCI.

The Research Collaboration Pattern of Library and Information Science Field in Korea: Application of Collaboration Indices (국내 문헌정보학 분야의 연구협업 패턴에 관한 연구: - 협업지수의 적용 -)

  • Park, Ji-Hong;Heo, Ji-Young
    • Journal of Korean Library and Information Science Society
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    • v.48 no.1
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    • pp.191-206
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    • 2017
  • The purpose of this study is to compare the characteristics of research collaborations in the field of LIS. While there are several studies under the unit of analysis of country, there are only a few studies under the unit of analysis of institution in LIS field. For this analysis, we selected eight journals in the KCI (Korea Citation Index) web site, which correspond to the field of LIS through subject classification. The collaborative indices, Collaborative Coefficient, Co-Authorship Index, Local Collaborative Index (LCI), Domestic Collaborative Index (DCI) allowed us to comparatively analyze institutional collaboration patterns in LIS field. In the case of Chung-Ang University, Yonsei University, and Ewha Womans University, collaborative research among professors, graduate students, and professors reflected the fact that collaborations among universities are often performed with professors. In the case of KISTI, which showed a very high index value, the characteristics of project-based research are reflected in the research collaboration pattern.

A Comparative Study on the Centrality Measures for Analyzing Research Collaboration Networks (공동연구 네트워크 분석을 위한 중심성 지수에 대한 비교 연구)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.31 no.3
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    • pp.153-179
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    • 2014
  • This study explores the characteristics of centrality measures for analyzing researchers' impact and structural positions in research collaboration networks. We investigate four binary network centrality measures (degree centrality, closeness centrality, betweenness centrality, and PageRank), and seven existing weighted network centrality measures (triangle betweenness centrality, mean association, weighted PageRank, collaboration h-index, collaboration hs-index, complex degree centrality, and c-index) for research collaboration networks. And we propose SSR, which is a new weighted centrality measure for collaboration networks. Using research collaboration data from three different research domains including architecture, library and information science, and marketing, the above twelve centrality measures are calculated and compared each other. Results indicate that the weighted network centrality measures are needed to consider collaboration strength as well as collaboration range in research collaboration networks. We also recommend that when considering both collaboration strength and range, it is appropriate to apply triangle betweenness centrality and SSR to investigate global centrality and local centrality in collaboration networks.

A Study on the global trend of international collaborations in the field of Computer Science and collaboration strategies for Korea (컴퓨터과학 분야 국제 공동연구의 세계적 추세 및 한국의 협력 방안 연구)

  • Kang, Hye-Jin;Shim, We;Noh, Kyung-Ran;Kwon, Oh-Jin
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.8
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    • pp.955-964
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    • 2014
  • The more importance of international collaboration has increased, the more studies on statues of international collaboration are increasing. However, few studies have attempted to identify the international collaboration. This article aims at a multidirectional characterization of the international collaboration in the field of Computer Science by analysis of articles published in the SCOPUS database. We applied Probabilistic Affinity Index(PAI) and Indicator of Collaboration Strength(ICS) for measuring the intensity of scientific collaboration among countries, and index of Incremental Citation Impact(ICI) for measuring the quality of international collaboration. These analyses identify the trends of international collaboration in the field of Computer Science and it's effect by nation.

Citation Impact of Collaboration from Intra- and Inter-disciplinary Perspectives: A Case Study of Korea

  • Lee, Jae Yun;Chung, EunKyung
    • Journal of Information Science Theory and Practice
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    • v.6 no.1
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    • pp.65-82
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    • 2018
  • Purpose - This research aims to examine collaboration from a disciplinary perspective in Korea. There are needs to explore to what extent researchers collaborate by discipline and across discipline along with the impact of collaboration. Design/methodology/approach - In order to investigate collaboration with respect to entire discipline areas and author-declared discipline information we analyzed a national researcher information database (Korean Researcher Information) with a citation index database (Korean Citation Index) covering the entire range of discipline. This study analyzed the data sets for 10 years (2004-2013) including a total of 8 categories and 119 sub-categories of disciplines, 109,551 researchers, 650,263 articles, and 1,170,039 citations in Korea. Findings - The results demonstrate that there are different intensities of collaboration from heavy to minimal across disciplines. In examining collaboration in terms of author and discipline levels, the results show that collaboration in author level rises, then inter-disciplinary collaboration increases accordingly, in most of the 119 discipline sub-categories. A number of disciplines, however, tended to collaborate more intensely within their own rather than with other disciplines. Moreover, the impact of collaboration tended to change over time depending on the types of collaboration. Specifically, inter-disciplinary collaboration was likely to have more immediate impact as pioneer research, especially among more than three disciplines, whereas the impact of intra-disciplinary collaboration is higher as time passes. Originality/value - In this research, a disciplinary investigation on collaboration is conducted for the entire range of disciplines in Korea. Through analyzing distinctive author-declared discipline information from the KRI, this research examines the intensities of collaboration across disciplines, collaboration in author level, and the impact of collaboration.

Supply Chain Collaboration Degree of Manufacturing Enterprises Using Matter-Element Method

  • Xiao, Qiang;Yao, Shuangshuang;Qiang, Mengjun
    • Journal of Information Processing Systems
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    • v.17 no.5
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    • pp.918-932
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    • 2021
  • Evaluation of the collaboration of the upstream and downstream enterprises in the manufacturing supply chain is important to improve their synergistic effect. From the supply chain perspective, this study establishes the evaluation model of the manufacturing enterprise collaboration on the basis of fuzzy entropy according to synergistic theory. Downstream enterprises carry out coordinated capital, business, and information flows as subsystems and research enterprises as composite systems. From the three subsystems, the collaboration evaluation index is selected as the order parameter. The compound fuzzy matter-element matrix is established by using its improved algorithm. Subordinate membership and standard deviation fuzzy matter-element matrixes are constructed. Index weight is determined using the entropy weight method. The closeness of each matter element is then calculated. Through a representative of the home appliance industry, namely, Gree Electric Appliances Inc. of Zhuhai, empirical analysis of data in 2011-2017 from the company and its upstream and downstream enterprise collaboration shows a good trend, but the coordinated development has not reached stability. Gree Electric Appliances Inc. of Zhuhai need to strengthen the synergy with upstream and downstream enterprises in terms of cash, business, and information flows to enhance competitiveness. Experimental results show that this method can provide precise suggestions for enterprises, improve the degree of collaboration, and accelerate the development and upgrading of the manufacturing industry.

An Investigation of the Cooperative Relationships in the ILL Services of Academic Libraries by Applying the Collaboration Index - Focusing on the S University Library in Korea - (협업지수를 응용한 대학도서관 상호대차 협력 관계 분석 - S대학교 도서관을 중심으로 -)

  • Yook, Jihye;Lee, Go Eun;Park, Ji-Hong
    • Journal of Korean Library and Information Science Society
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    • v.46 no.4
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    • pp.493-510
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    • 2015
  • The purpose of this study is to analyze cooperative relationship and information needs using the interlibrary loan (ILL) service data of the academic libraries. This study interprets the ILL service data as information source that including unsolved information problems. Also, this study normalizes the ILL service data using the collaboration index. The results of this study have three aspects. First, col hs-index can be useful tool for analyzing ILL service relationship between different sizes of libraries. Second, this study find out the information needs and the collection characteristics of each library after analyzing ILL data by subjects. Third, by applying col hs-index, we could analysis more objective ILL data and found out possibility of bibliographic index.

Assessment of Mechanical Engineering Research Output using Scientometric Indicators: A Comparative Study of India, Japan, and South Korea

  • Pattanashetti, D.M.;Harinarayana, N.S.
    • Journal of Information Science Theory and Practice
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    • v.5 no.2
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    • pp.62-74
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    • 2017
  • This study examined the mechanical engineering research output from India, Japan, and South Korea on different parameters including growth, collaboration indices, and activity index. The purpose of the study is to understand the overall development of mechanical engineering through analytical approaches applied on the scholarly outcome of the countries considered for the study. The study focuses on analysing the articles published by India, Japan, and South Korea, and is restricted to articles indexed in the Science Citation Index - Web of Science for the period 2000 to 2014. The ratios of number of paper to citations for India, Japan, and Korea are 20,836: 1,97,679; 24,494: 2,04,393; and 30,578: 2,66,902 respectively for the period 2000-2014. The findings show that there is a decline in Japanese publications in mechanical engineering, whereas other two countries have recorded an increasing trend. While India has tripled its publications in a span of 15 years, South Korea, on the other hand, has doubled its publications in the same span of time. There has been an increasing trend towards collaboration in almost all fields of science and technology. However, the extent of collaboration and their rate of growth varied for one subject to another, one branch to another branch of the same subject, and from one country to another country. The present study analyses the growth of research publications of the mechanical engineering domain including authorship distribution, collaboration indices, prominent journals, and activity index.

Design and Construction of Collaboration Hub 2.0 based on BPM (BPM 기반의 협업허브 2.0 설계와 구현)

  • Kim, Bo-Hyun;Jung, So-Young;Choi, Hon-Zong;Lee, Sung-Jin;Jang, Jin-Young
    • Korean Journal of Computational Design and Engineering
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    • v.16 no.6
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    • pp.414-423
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    • 2011
  • The collaboration hub has been developed since 2004 as an online collaboration space, which supports the various collaborative works amongst small and medium enterprises using information sharing, collaboration project management, and project history management. Because of the change of manufacturing environment and rapid development of information technologies, it should be evolved from the existing version called Collaboration Hub 1.0. Recently, a lot of manufacturing enterprises know the importance of business process management(BPM) and start to introduce BPM systems. Our research group has developed the new version of Collaboration Hub 1.0 called Collaboration Hub 2.0 which contains the BPM concept, the consistent product data management, and the specialized functions overcoming the various variation of manufacturing. This study scrutinizes the meaning and role of the Collaboration Hub 2.0 and introduces an application study of it to the value chain of automobile module development consisted of a leading company and subcontractors. The case study covers the definition, execution and monitoring of collaboration process, the specialized functions overcoming the manufacturing variation and the key performance index of collaboration business.

The Impact on Structures of Knowledge Creation and Sharing on Performance of Open Collaboration: Focus on Open Source Software Development Communities (개방형협업 참여자의 지식창출·지식공유 구조와 혁신 성과: 오픈소스 소프트웨어 개발 커뮤니티를 중심으로)

  • Koo, Kyungmo;Baek, Hyunmi;Lee, Saerom
    • Knowledge Management Research
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    • v.18 no.4
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    • pp.287-306
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    • 2017
  • This research focus on the effect of developers' participation structure in knowledge creation and knowledge sharing activities in open source software development projects. Based on preferential selection theory, hypotheses of relationship between a developers' concentration of knowledge creation/sharing activities and collaboration performance was derived. To verify the hypotheses, we use the Gini coefficient in the commit contribution of the developers (knowledge creation) and the centralization index in the repository issue network (knowledge sharing network). Using social network analysis, this paper calculates centralization index from developers in the issue boards in each repository based on data from 837 repositories in GitHub, a leading open source software development platform. As a result, instead of all developers creating and sharing knowledge equally, only a few of developers creating and sharing knowledge intensively further improve the performance of the open collaboration. In other words, a few developers predominantly providing commit and actively responding to issues raised from other developers enhance the project performance. The results of this study are expected to be used by developers who manage open source software project as a governance strategy, which could improve the performance of open collaboration.