• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.1-18
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• 2016

Collaborative Filtering (CF) predicts the focal user's preference for particular item based on user's preference rating data and recommends items for the similar users by using them. It is a popular technique for the personalization in e-commerce to reduce information overload. However, it has some limitations including sparsity and scalability problems. In this paper, we use a method to integrate social network information into collaborative filtering in order to mitigate the sparsity and scalability problems which are major limitations of typical collaborative filtering and reflect the user's qualitative and emotional information in recommendation process. In this paper, we use a novel recommendation algorithm which is integrated with collaborative filtering by using Social SVD++ algorithm which considers social network information in SVD++, an extension algorithm that can reflect implicit information in singular value decomposition (SVD). In particular, this study will evaluate the performance of the model by reflecting the real-world user's social network information in the recommendation process.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.1-7
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• 2016

In recent years, the importance of collaboration has been emphasized in the public sector as well as private companies. In a study for private enterprises, individual enterprises stressed the innovation through collaboration with other organization such as enterprise, university, and other agencies. Other companies and agencies have the technology they need, so that they share skill or knowledge, and they do to create more new developments. This implies a collaborative system can be a win-win collaboration with all partners. It also requires collaboration in the public sector. Because they have many problems that can not be solved at the level of individual institutions. However, public institutions lie ecologically unfavorable in a collaborative environment than the private sector. The organizational structure is hierarchical. In addition, relationships between collaboration partners not recognize horizontally. Of course, communication is not smooth. This study examines successful collaboration case in private sector and we want to draw implications for public organizations. Finally, we discussed ways to promote collaboration in the public sector.

• Journal of the Korean Home Economics Association
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• v.44 no.12
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• pp.127-137
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• 2006

The goal of this study is twofold: (1) to identify how well the predictors of family resilience using selected ENRICH subscales measure couple resilience of spouse abusing couples; (2) to verify how predictors of family resilience differentiate abusive partners from non-abusive partners through discriminant analysis. The results show that nonviolent couples have significantly higher scores of family resilience factors than violence experienced couples. The accuracy of discriminant analysis was as high as 85.7% for non-violent couples and 85.4% for violence experienced couples. Whereas collaborative problem solving and couple's flexibility had the highest discriminant power, socioeconomic resources and transcendence and spirituality had little contributed. In addition, this study shows that predictors of family resilience have high discriminant power for distinguishing violent groups from non-violent groups. The results of this study can be clinically utilized in identifying violent groups and designing couple education programs. Based on these results, the recommendations for the future research in this area were discussed.

• World Technopolis Review
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• v.4 no.1
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• pp.11-22
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• 2015

Globalization, increasing technological advancements and dynamic knowledge diffusion are moving our world closer together at a unique scale and pace. At the same time, our rapidly changing society is confronted with major challenges ranging from demographic to economic ones; challenges that necessitate highly innovative solutions, forcing us to reconsider the way that we actually innovate and create shared value. As such the linear, centralized innovation models of the past need to be replaced with new approaches; approaches that are based upon an open and collaborative, global network perspective where all innovation actors strategically network and collaborate, openly distribute their ideas and co-innovate/co-create in a global context utilizing our society's full innovation potential (Innovation 4.0 - Open Innovation 2.0). These emerging innovation paradigms create "an opportunity for a new entrepreneurial renaissance which can drive a Cambrian like explosion of sustainable wealth creation" (Curley 2013). Thus, in order to materialize this entrepreneurial renaissance, it is critical not only to value but also to actively employ this new innovation paradigms so as to derive community-driven shared value that stems from global innovation networks. This paper argues that there is a gap in existing business incubation model that needs to be filled, in that the innovation and entrepreneurship community cannot afford to ignore the emerging innovation paradigms and rely upon closed incubation models but has to adopt an "open incubation" (Ziouvelou 2013). The open incubation model is based on the principles of open innovation, crowdsourcing and co-creation of shared value and enables individual users and innovation stakeholders to strategically network, find collaborators and partners, co-create ideas and prototypes, share their ideas/prototypes and utilize the wisdom of the crowd to assess the value of these project ideas/prototypes, while at the same time find connections/partners, business and technical information, knowledge on start-up related topics, online tools, online content, open data and open educational material and most importantly access to capital and crowd-funding. By introducing a new incubation phase, namely the "interest phase", open incubation bridges the gap between entrepreneurial need and action and addresses the wantpreneurial needs during the innovation conception phase. In this context one such ecosystem that aligns fully with the open incubation model and theoretical approach, is the VOICE ecosystem. VOICE is an international, community-driven innovation and entrepreneurship ecosystem based on open innovation, crowdsourcing and co-creation principles that has no physical location as opposed to traditional business incubators. VOICE aims to tap into the collective intelligence of the crowd and turn their entrepreneurial interest or need into a collaborative project that will result into a prototype and to a successful "crowd-venture".

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.533-556
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• 2012

The paper analyzes the effects of Korean venture businesses' external collaborations on their innovation performances, according to their collaboration partners and collaboration activities. The results show that the collaborations between Korean venture businesses and research institutions, and those between venture businesses and other venture businesses have significant positive effects on venture businesses' innovation performances, in terms of the numbers of the intellectual property rights, while the collaborations between venture businesses and large companies have significant positive effects on medium-sized venture businesses only. In addition, collaborative research and development, and technology transfer from big companies to venture businesses have given significant positive effects on venture businesses' innovation performances, while collaborative employee training and collaborative marketing have given significant negative effects on venture businesses' innovation performances. Furthermore, collaborations between large companies and their subcontracting venture businesses have shown even more significant effects on venture businesses' performances. The results show that the effectiveness of external collaborations of Korean venture businesses depends on collaboration partners, types of collaboration activities, and the size of collaborating venture businesses, implying that government programs for encouraging venture businesses to collaborate with external institutions should be carefully chosen for their innovation performance improvement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.410-420
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• 2016

Recently, the R&D paradigm has become oriented toward convergence technology and interdisciplinary research. In this study, to elucidate the characteristics of research groups that promote the performance of convergence research, we take into account the input characteristics, disciplinary characteristics and collaborative characteristics of research groups. For this study purpose, 5,217 SCI papers published from 104 centers in Advanced Research Center Projects are analyzed as research outputs. The research findings are that the disciplinary balance in the interdisciplinary characteristics and the number of partners in the collaborative characteristics are positively related to the convergence of R&D outputs. The research field of a group introduced as a control variable exerts a significant effect on the convergent R&D outputs. In conclusion, it is necessary to organize internally with the same number of each disciplinary researcher in a research group and to activate external collaboration with partners in order to produce more outputs of convergent research.

• Archives of design research
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• v.19 no.4 s.66
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• pp.71-80
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• 2006

Collaboration has become essential in the product design process due to internationalized and specialized business environments. This study presents a real-time collaborative 3D design workspace for distributed designers, focusing on the development and the evaluation of new interaction techniques supporting nonverbal communication such as awareness of participants, shared manipulation and tele-presence. Requirements were identified in terms of shared objects, shared workspaces and awareness through literature reviews and an observational study. An Augmented Reality based collaborative design workspace was developed, in which two main interaction techniques, Turn-table and Virtual Shadow, were incorporated to support shared manipulation and tele-presence. Turn-table provides intuitive shared manipulation of 3D models and physical cues for awareness of remote participants. Virtual shadow supports natural and continuous awareness of location, gestures and pointing of partners. A lab-based evaluation was conducted and the results showed that interaction techniques effectively supported awareness of general pointing and facilitated discussion in 3D model reviews. The workspace and the interaction techniques can facilitate more natural communication and increase the efficiency of collaboration on virtual 3D models between distributed participants (designer-designer, engineer, or modeler) in collaborative design environments.

• Journal of Digital Convergence
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• v.9 no.5
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• pp.175-191
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• 2011

To improve cooperative performance, organizations are increasingly developing its technology capabilities to maintain performance and satisfaction with its collative partners. The data for 143 collaboration experiences from domestic manufacturing firms were used to test hierarchical regression model with trust moderating between technology capabilities and collaborative performance and satisfaction. The result suggests that technological human resources, technological organization, technological leadership are the most important factors to affect positively collaborative performance and satisfaction, and there are interaction effects of trust on technological assets and technological organization with collaborative performance and satisfaction.

• Journal of Korea Technology Innovation Society
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• v.13 no.2
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• pp.332-364
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• 2010

External linkages affect the performance of small and medium enterprises in diverse ways. This study delves into the impact of inter-organizational collaboration by looking at different facets of performance, such as innovation, sales growth, profit growth, and firm survival. In addition, it explores the influence of informal knowledge spillover from collaborative partners as well as from formal collaborations. The impact is carefully investigated by dividing firm samples into three different sectoral innovation categories: supplier-dominant, production-intensive, and science-based sector suggested by Pavitt (1984). The result highlights the different influence pattern of collaborative relations by partner types according to sectoral categories. The positive results of collaborating with universities and public institutions are identified, and the sales growth by customer linkage is witnessed. The impact is apparent in science-based sectors. The result implies that the risk associated with collaborating with competitors may be moderated by linking performance enhancing collaborative linkages with universities and government institutes.

• Journal of Korean Institute of Industrial Engineers
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• v.29 no.2
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• pp.157-164
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• 2003

The amount of information increases rapidly when working in a distributed environment where multiple collaborative partners work together on a complex product. Today's PDM (product data management) systems provide good capabilities regarding the management of product data within a single company. However, taking into account the variety of systems used at partner sites in an engineering environment one can easily imagine problems regarding the interoperability and the data consistency. This paper presents a concept to improve the workflow management using the parameters network. It shows a parameter driven engineering workflow that is able to manage engineering task across company boarders. We introduce a mechanism of workflow management based on the engineering parameters and an architecture of the distributed workspace to apply it within a PDM system. For a parameter mapping between CAD and PDM system we developed an XML-based CATIA data interface module using CAA.