• Korean Journal of Health Education and Promotion
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• v.26 no.4
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• pp.83-90
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• 2009

Objectives: As collaboration for community health promotion is much emphasized, the concept and process of community collaboration for health needs to be discussed. This paper discusses varying types of collaboration and collaboration building processes and suggests directions for enhancing community collaboration research and practice. Methods: Leading literature on community partnership building and community health development and current community partnership research program information were reviewed. Results: Although the term collaboration is used interchangeably with cooperation, partnership, network, or coalition, conceptual differences need to be acknowledged in order to develop and reinforce the processes of collaboration. Collaboration building goes in hand with community-based participatory research and systems thinking, which should be supported by long-term, systematic planning and evaluation research. Conclusion: Collaboration for community health promotion needs to be defined and agreed conceptually, thus collaboration process can be developed. Effective collaboration building will be facilitated by systematic thinking and participatory research. Research support system should appreciate the time-intensive, process-oriented nature of collaboration building by providing long-term research funding and emphasizing process and long-term evaluation.

• The Bulletin of The Korean Astronomical Society
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• v.32 no.2
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• pp.21-21
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• 2007

• Asia pacific journal of information systems
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• v.23 no.4
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• pp.151-175
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• 2013

This study investigates the potential components for academic research collaboration, and the factors that make it possible to achieve higher academic productivity. The components include collaboration factors and a collaboration model. We use two major collaboration factors to develop a framework for understanding the mechanisms that influence academic research collaborations: motivational factors and mediating factors. Motivational factors include self-motivation and trust whereas mediating factors are collaboration orientation and peer support. We analyze the effect for use of e-collaboration with research performance, reward, and satisfaction with e-research output. A survey of academicians was conducted, and by using the factor analysis and the structural equation model with SPSS 20 AMOS, we illustrate the possible influence of these factors on research performance and satisfaction. We discovered that both motivational and mediating factors play important roles on the success of academic research. This study offers several implications for academicians. We develop a parsimonious research model, which is related to e-collaboration in academic research. This unique model offers academicians to achieve good publication output from the research team. The motivational factor, self-motivation and trust, are important factors which has received positive impact of mediating factor collaboration orientation and peer support. Our research sheds light on the crucial factors for use of e-collaboration which offer the ultimate effect on performance and satisfaction with e-research output. Satisfaction motivates people to work more and more on the field of their interest, thereby influencing the performance of academicians. Rewards should be distributed according to performance of the individual, which will motivate the person to become more enthusiastic for his work of interest. Our evidence suggests that in understating the collaborative process, one must account for the context in which the collaboration occurs, the motivation of the collaborators, the scope and nature of the project, the roles and activities undertaken, and interpersonal processes such as trust. Researchers' motivations for engaging in collaboration were both instrumental and intrinsic.

• Journal of Technology Innovation
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• v.16 no.2
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• pp.17-40
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• 2008

The collaboration among academia, industry, and public research sector gains importance in these days. This is essential for implement competent regional and national innovation systems. There have been many governmental programs for activating collaboration among innovation actors. Most policy programs for collaboration have aimed at increasing S&T and innovation potential and constructing S&T infrastructure. However, Korea has not produced a sufficient level of collaboration, especially on regional level. Most policy programs could not reach regions and many regions have no enough innovation actors. In order to activate R&D collaboration, therefore, we suggest that Korean S&T community should build and implement "collaborative research centers" all over the regions. This concept is very new approach, especially because it focuses on collaboration among regional innovation actors. In this paper, we discuss a concept, type, and execution strategy of collaboration research centers. We expect that these centers will play an important role in implementing successful regional innovation systems, as they will link regional innovation actors very closely.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.2
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• pp.91-110
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• 2019

This study sought to examine five theses from major journals concerning Korea's Library and Information Science, published from 1970 to 2018, so as to diagnose the current stage of International Research collaboration in the field of Korea's Library and Information Science which researchers from two or more different nations jointly conducted. Furthermore, it proposed measures for activating International Research collaboration in the field of Korea's Library and Information Science. First, related conferences should be held and education need to be offered in terms of elevating the awareness of the need and importance of international research collaboration. Second, relevant policies need to be developed and projects should be implemented to strengthen the practical international research collaboration. Third, collaboration with various countries should be pursued in the area of detailed majors of library and information science of greater diversity than now in terms of the detailed majors and countries. Fourth, a research environment supporting the collaboration with various research institutions overseas moving forward will need to be created around the universities.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.3
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• pp.154-163
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• 2017

Research collaboration is regarded as core source to lead various innovations in all countries. This paper compares and analyzes the performance of Industry-University-Government Research Institutes (GRI) collaboration based on the four types of research collaborations; GRI-GRI, Industry-GRI, University-GRI and Industry-University-GRI. So this paper will show which collaboration type has the best work on each R&D step. We use four R&D steps; research, development, commercialization and overall. We also evaluate the performance of research collaboration of GRIs based on the collaboration types. In order to evaluate the performance of research collaboration, Data Envelopment Analysis (DEA) is employed for measuring the efficiency of GRIs in this paper. DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs. The empirical results represent that the performance of collaboration with industry is generally superior to other collaboration types. These findings from this paper are expected to provide basic information for national collaboration strategy making.

• Journal of Distribution Science
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• v.20 no.7
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• pp.1-9
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• 2022

Purpose: This study aims to examine the effect of intellectual capital on both internal and external collaboration and its impact on distribution performance enhancement in public sector. Research design, data, and methodology: The study applied quantitative approach with the help of AMOS Structural Equation Modelling. The unit of analysis is the Indonesian local government. The research involved 430 leaders from local government agencies as respondents. Results: This study found that intellectual capital positively influences both internal and external collaboration as well as distribution performance. Furthermore, the current research confirms the different effect of internal collaboration and external collaboration on distribution performance; internal collaboration positively affects distribution performance, while the external one does not. Eventually, internal collaboration mediates the indirect effect of intellectual capital on distribution performance, whereas the external collaboration does not. Conclusions: This study strengthens and complements the lean stream by confirming the role of intellectual capital as critical antecedent of internal collaboration, external collaboration, and distribution performance. Moreover, this research underlines the critical role of internal collaboration as the intercourse which supports distribution performance enhancement in public sector. Lastly, the study highlights the benefits of external collaboration in distribution practice if appropriately and wisely managed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.2
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• pp.203-211
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• 2014

In recent highly competitive business environment, collaboration has become one of the important business strategies for companies to survive and/or prosper. There are many different types of collaboration strategies, and it is crucial for companies to select the right ones according to the types of collaboration they require. To select the right type of collaboration options for business, in the past research, there have been two important criteria to classify collaboration types, namely governance (who makes key decisions - one kingpin participant or all players?) and membership (can anyone participate, or just select players?). In this research, we add a new classification criterion, recognition of collaboration purpose, which means whether collaborators know or do not know the purpose of collaboration in advance. Recently, we see many cases in which social media data are used in many unknown purposes a priori. In this research, we add such cases to develop new classification model.

• Journal of Distribution Science
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• v.12 no.7
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• pp.89-101
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• 2014

Purpose - This study aims to show that consignments can enable supply chain collaboration, based on the review of selected studies, and aims to investigate its potential to be a better collaboration program, through an analytical comparison with other collaboration initiatives. Research design, data, and methodology - This study uses a literature review on selected studies that researched consignments. In addition, based on the proposed framework, the current consignment process and other well-known collaboration programs are analyzed in terms of three key collaboration aspects. Results - Most studies employ simple research in terms of their purpose and methodology. An analysis with the proposed framework indicates the potential of consignments to foster supply chain collaboration. Conclusions - Based on the literature review, this study suggests that future research needs to aim for diverse research goals and conduct sophisticated research on consignments. An analysis with the proposed framework shows that consignments would be more effective for supply chain collaboration if active information sharing and joint decision-making are implemented.

• 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.