• Title/Summary/Keyword: collaboration networks

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Factors Changing Dynamic Research Collaboration Network in Korean Nanobiotechnology (나노바이오 분야 국내 연구자의 동적 협업 네트워크 변화 요인 분석)

  • Lee, Hye Jin;Lee, Choon Shil
    • Journal of the Korean Society for Library and Information Science
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    • v.52 no.1
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    • pp.231-258
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    • 2018
  • This study attempted to identify dynamically changing structure and analyze factors of collaboration. In order to perform this study, 1,631 articles in SCI journals were collected, and 3,898 researchers' information were extracted. To examine the dynamics of collaboration networks, the co-authorship data collected from 2001 to 2015 were divided into three sets, and were analyzed with respect to each period. The results of this study were summed up as: 1) "Co-authorship of the last year" was entirely significant factors while research career was significant only in the period of 2 to 3. 2) It was found that "Influence of the researchers" and "Emergence of the researchers" were significant factors in the period of 2 to 3 and in the period of 1 to 2. 3) "Same institutions", "Same subject", and "Journal similarity" were significant factors in all periods.

An Empirical Study on the Determinants of Supply Chain Management Systems Success from Vendor's Perspective (참여자관점에서 공급사슬관리 시스템의 성공에 영향을 미치는 요인에 관한 실증연구)

  • Kang, Sung-Bae;Moon, Tae-Soo;Chung, Yoon
    • Asia pacific journal of information systems
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    • v.20 no.3
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    • pp.139-166
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    • 2010
  • The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

Operation Scheme of Aerial Relay Networks and the Analysis of Its Effectiveness against Failures of Terrestrial Tactical Networks (지상 전술망 장애에 대비한 공중중계망 운용 방안 및 이의 효과도 분석)

  • Ghil, Joon-ho;Lee, Gyu-min;Lee, Seungwoon;Roh, Byeong-hee;Kim, Jae-hyun;Kim, Donghyun;Lee, Jaemoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.1
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    • pp.172-180
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    • 2017
  • Korean army has been trying to construct a future tactical network in collaboration with TICN at the ground level and the next-generation military satellite system in the space level. However, due to the low bandwidth and high operational cost, the satellite system has the limitation to exchange all kind of tactical information through it. To overcome the limitation, there have been several researches to construct airborne networks. In this paper, we propose an effective interworking architecture and operation scheme between terrestrial tactical networks and aerial relay networks to counteract against the communication breaks of terrestrial terminals. And, we also propose a way to analyze its effectiveness. The experimental results show that the interworking of aerial relay networks can manage the failure situations in terrestrial tactical networks very effectively.

Government Policies, R&D Networks and Space: The Case of Korean national R&D Projects (정부의 R&D 정책과 연구개발 네트워크의 구조 및 공간적 특성: 한국의 국가연구개발사업 사례를 중심으로)

  • Kim, Hyung-Joo;Lee, Jeong-Hyop;Sohn, Dong-Won
    • Journal of the Economic Geographical Society of Korea
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    • v.11 no.3
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    • pp.319-333
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    • 2008
  • Government R&D policies generate diverse intended and unintended effects including innovator-specific and spatial effects. The Korean government has promoted R&D policies throughout the industrializing period, resulting in R&D networks focused on government research institutes geographically concentrated in the Capital region and Daedeok. This research aims to review the development of the Korean national R&D projects and analyze the recent composition of participants and spatial effects of the Korean national R&D projects. The results show that, in terms of the participants, the R&D networks generated from the Korean national R&D projects have been diversified from dominance of the government research institutes to strategic collaboration between the Korean private firms, universities, and government research institutes. Spatially, the R&D networks are not regionalized, and many private firms in most of the regions have nationwide R&D networks or still rely on the R&D networks in the Capital region.

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Network Analysis of East Asian Research in South Korea for the 2004-2013 Period

  • Park, Ji-Young;Park, Han Woo
    • International Journal of Contents
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    • v.11 no.1
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    • pp.52-61
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    • 2015
  • In the past decade, East Asian Research has received attention from researchers as well as in South Korea society-at-large. The broad category of East Asian Research includes various disciplinary fields, such as "history, economics, and politics; however, few studies have used quantitative analysis to explore its development. In this paper, we used network analysis to identify the disciplines and active research areas, focusing on productivity, collaboration patterns, and citation networks of East Asian Research in South Korea. For this study, 6,646 journal publications related with East Asian Research and indexed by KCI (Korean Citation Index) during the 10-year period of 2004-2013 were considered. Results show that East Asian Research was led during this period by sole-researchers, rather than interdisciplinary studies. Moreover, a co-institution network represents active institutions with a high degree and collaborative centrality. In terms of journal-journal citation networks, journals belonging to both "history" and "Korean literature" disciplines were dominant.

Knowledge Evaluation of Individual Competence for Virtual Project Organization (가상 프로젝트 조직의 개인관점 지식역량 평가)

  • Lee, Kyung-Huy;Kim, Cheol-Han;Woo, Hoon-Shik
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.4
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    • pp.133-141
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    • 2012
  • Virtual project organization may be recognized as one of the promising business models in which many knowledge sources externalize through cross boundaries of knowledge-based organizations. This paper proposes a knowledge competence evaluation of virtual project organization based on the following perspectives: 1) Individual knowledge perspective, 2) Activity-oriented knowledge perspective, and 3) Knowledge-driven social network perspective. In the framework, individual knowledge competence having experienced or learned from knowledge-based activities and virtual networks in the project, should be evaluated according to the assumption that knowledge and collaboration competence depends on the activities and networks acquired proportionally by the past participation to projects. An illustrative SI example is given in order to validate the proposed evaluation and computing procedure.

Global Optimization for Energy Efficient Resource Management by Game Based Distributed Learning in Internet of Things

  • Ju, ChunHua;Shao, Qi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.10
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    • pp.3771-3788
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    • 2015
  • This paper studies the distributed energy efficient resource management in the Internet of Things (IoT). Wireless communication networks support the IoT without limitation of distance and location, which significantly impels its development. We study the communication channel and energy management in the wireless communication network supported IoT to improve the ability of connection, communication, share and collaboration, by using the game theory and distributed learning algorithm. First, we formulate an energy efficient neighbor collaborative game model and prove that the proposed game is an exact potential game. Second, we design a distributed energy efficient channel selection learning algorithm to obtain the global optimum in a distributed manner. We prove that the proposed algorithm will asymptotically converge to the global optimum with geometric speed. Finally, we make the simulations to verify the theoretic analysis and the performance of proposed algorithm.

The Roles of Political Network Diversity and Social Media News Access in Political Participation in the United States and South Korea

  • Lee, Sun Kyong;Kim, Kyun Soo;Franklyn, Amanda
    • Asian Journal for Public Opinion Research
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    • v.10 no.3
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    • pp.178-199
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    • 2022
  • Two surveys for exploring communicative paths toward political participation were conducted with relatively large samples of Americans (N = 1001) and South Koreans (N = 1166). Hierarchical regression modeling of the relationships among demographics, personal networks, news consumption, and cross-cutting discussion and political participation demonstrated mostly commonalities between the two samples, including the interaction between political diversity and Twitter usage for news access but with distinct effect sizes of cross-cutting discussion on political participation. We attribute the differences to the two countries' distinct histories of democracy and culture, and the commonalities to the general relationships between cross-cutting discussion and political participation moderated by strong ties political homogeneity.

Using Practice Context Models to Knowledge Management in Proof-of-Concept Activities: A Contribution of Knowledge Networks and Percolation Theory

  • Neto, Antonio Jose Rodrigues;Borges, Maria Manuel;Roque, Licinio
    • Journal of Information Science Theory and Practice
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    • v.9 no.1
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    • pp.1-23
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    • 2021
  • This study introduces novel research using Practice Context Models supported by Knowledge Networks and Percolation Theory with the aim to contribute to knowledge management in Proof-of-Concept (PoC) activities. The authors envision this proposal as a potential instrument to identify network structures based on a percolation (propagation) threshold and to analyze the importance of nodes (e.g., practitioners, practices, competencies, movements, and scenarios) during the percolation of knowledge in PoC activities. After thirty months immersed in the natural PoC habitat, acting as observers and practitioners, and supported by an ethnographic exercise and a designer-research mindset, the authors identified the production of meaning in PoC activities occurring in a hermeneutic circle characterized by the presence of several knowledge networks; thus, discovering the 'natural knowledge' in PoC as a spectrum of cognitive development spread throughout its network, as each node could produce and disseminate certain knowledge that flows and influences other nodes. Therefore, this research presents the use of Practice Context Models 'connected' to Knowledge Networks and Percolation Theory as a potential and feasible proposal to be built using the attribution of values (weights) to the nodes (e.g., practitioners, practices, competencies, movements, scenarios, and also knowledge) in the context of PoC with the aim to allow the players (e.g., PoC practitioners) to have more flexibility in building alliances with other players (new nodes); that is, focusing on those nodes with higher value (focus on quality) in collaboration networks, i.e., alliances (connections) with the aim to contribute to knowledge management in the context of PoC.

Research Networking in Convergence Relations: A Network Analytic Approach to Interdisciplinary Cooperation (연결망 분석을 활용한 인문사회기반 융합연구 구조에 관한 연구: 네트워크 중심성과 중개자 역할을 중심으로)

  • Yang, Chang Hoon;Heo, Jungeun
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.49-63
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    • 2017
  • Interdisciplinary convergence research is widely seen as a collaborative research between different disciplines, which is often driven by common agenda or problems in pursuit of a particular common objective. Thus, the purpose of interdisciplinary cooperation in convergence research is to bring each discipline's unique perspective together with the academic expertise of researchers in order to share common problems that cannot be solved effectively without research partnership. We present empirical evidence on how interdisciplinary research relationships are formed to facilitate research networking in convergence relations. In particular, we used network analysis to investigate how interdisciplinary linkages and convergence research networks has formed over time. We found that the convergence research networks were implemented by the interdisciplinary convergence research support program as intended. We did find that research field with high indegree and outdegree in a network played critical roles on the dynamics and degree of interdisciplinarity. Finally, we could find evidence that the role of liaison brokers triggered relational dynamics in interdisciplinary research collaboration.