• 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.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.291-300
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• 2020

This paper studies the factors affecting university and industry collaboration in education in the hospitality industry in Ho Chi Minh City (Vietnam) from a company perspective. The authors use qualitative method and quantitative research to study the matters, specifically using scales and data collected for Cronbach alpha reliability testing, analysizing the discovery factor of EFA, CFA and verifying the regression models through AMOS software with SEM linear modeling. The study proposes four factors: (1) organization factors, (2) contextual factors, (3) process factors, and (4) cooperation perspective impacting on the benefits factors and university and industry collaboration in education. In addition, it is also found that benefits factors has a direct and positive impact on the collaboration in education. The results suggest that the process factor had the strongest positive, followed by the contextual factor. The findings revealed that the benefit factors were significantly related to collaboration in education, which affects university and industry hospitality alliances. This finding confirm that the cooperation perspective (QD) and contextual factors (HC) are critical in collaboration between university and industry. A new point of interest is also identified that the benefits of training links are quite dependent on the linking perspective from tourism businesses.

• Journal of Information Technology Services
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• v.10 no.3
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• pp.1-19
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• 2011

The purpose of this study lies in enhancing an understanding of on-line collaboration among manufacturing companies for innovation. To meet this purpose, this study adopts Eisenhart(1989)'s case study approach to explore the success factors of on-line collaboration among Korean small-medium-sized manufacturing companies. Firstly, an exhaustive case study is conducted for four collaboration hubs in the Korean injection mold industry. This study identify the success factors through a structured questionnaire survey and in-depth interviews based on experts of K Institute, which performs the overall management of the collaboration hubs, and personnel of the participating businesses and vendors. Secondly, AHP analysis is conducted to identify the priorities among the success factors. Finally, several propositions of on-lin collaboration are derived.

• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.201-227
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• 2014

The collaboration is becoming ever more widespread in scientific research. Unlike collaboration in other areas such as in a company, research collaboration has an unique feature that it is reflected by scholars' characteristics. Based on previous studies on research collaboration, five major factors are identified. We propose five hypotheses from them and examine these by using both in-person questionnaire survey and relational bibliometric analysis. The survey analysis informs individual choice factors and the bibliometric analysis informs collective consequence factors. The results of this study may have implications for science policies and digital collaboration services.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.2
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• pp.53-65
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• 2021

The study of behavioral intention in the fashion industry, until recently, focused on the variables of satisfaction and the intention of purchase, and were limited to specific individuals who were fashion consumers. It was found that variables of intention of recommendation have a greater impact on many other potential customers from a study on consumer behavioral intention. Thus, this study seeks to examine the relationship between the selection factors of collaboration fashion products and preference, and the relationship between preference and the intention of purchase. Moreover, the purpose of this research is to find the influence of relationships between selective factors of collaboration fashion products and the intention of recommendation. The 'intention of recommendation' was set as a dependent variable, that influences the relationship between preference and intention of recommendation. For empirical analysis, SPSS 25.0 software was used to conduct frequency analysis, reliability analysis, factor analysis, and multiple regression analysis based on a survey results conducted upon 217 people in their 20s. The empirical analysis results are as follows: First, collaboration fashion product selection factors consisted of 'product originality', 'designers and artists' reputation', 'product reliability', and 'products' aesthetic impression'. Second, the selection factors of fashion products had a positive influence on product preferences. Third, the preference for collaboration fashion products had an influence on intention of purchase and intention of recommendation. Fourth, collaboration fashion product selection factors affected intention of purchase. Fifth, selection factors of collaboration fashion products were found to have a significant impact on the intention recommendation.

• Proceedings of the Technology Innovation Conference
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• 1999.06a
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• pp.119-139
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• 1999

The rapid development and diversification of technology require that firms should adjust and cope with a high degree of uncertainty. An alternative to these strategic responses is the recent increase in the number of R&D or technological collaborations among firms. There have been continuous researches into the causes and effects of these collaborative relationships, but there is a lack of research that examines the risks involved in the process of collaboration. The researches into essential prerequisites for a successful technological collaboration have remained at the superficial level despite the surge in demand of R&D collaboration. Therefore, this study proposes positive & negative factors affecting the R&D collaboration process and selection point. In addition, a further step in analysis is taken by integrating both the positive & negative factors. This study emphasizes the importance of inter-trust in activating the process factors within the success factors and reducing the possibility of risk factors.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.235-242
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• 2014

Although the requirement of enterprise security implementation has been raised, a few research on security collaboration, which is one of the methods for enterprise security has been performed. This paper approached information security from the collaboration-centric perspective and propose critical success factors for security collaboration. In this study, a model of security collaboration, which includes coordination and cooperation activities was devised. Based on the previous research on organizational collaboration literature, the eight success factors for collaboration were deduced and examined the significance of the eight factors using the PLS-SEM statistical method with data of 106 samples who are security and IT professionals who have worked for more than 7 years. The result of the hypothesis test supported that trust, expertise motivation, collaboration performance criteria, top manager support and collaboration tools are the prominent factors of security collaboration.

• Journal of KIBIM
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• v.7 no.1
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• pp.36-44
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• 2017

While previous studies argue that BIM-based assembling collaboration promotes the communication and process management among participants in architectural design projects, it is still unknown which communication and socio-psychological factors are more and less activated in use of BIM-based collaboration. To investigate this research aim, in authentic BIM-used architectural retrofitting projects, the participants (N=36) collaborated and assessed the communication factors on (1) perceiving design results, (2)understanding partners'design intention, (3) proposing and converging opinions, the interpersonal design process management factors on (1) managing design process, (2) managing collaboration schedule, and the complementedness factors on (1) understanding partners' expertise, and comradeship. Statistical analyses reveal that the factor relevant to perceiving design results is better activated than the other factors (p<0.05), but all other factors are not much activated compared to perceiving design results. Deduced from the previous BIM studies and interviews, a reason roots in the shared forms and semantics of BIM. The shared semantics represent collaborators' information and allow the participants to perceive design changes explicitly. Meanwhile, BIM-based assembling collaboration is limited to represent observable, experience-able processes of design, and thus, several key socio-psychological factors, such as proposing and converging opinions and managing design process, are less activated.

• Journal of Information Science Theory and Practice
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• v.9 no.2
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• pp.83-98
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• 2021

Research collaboration is an important strategy to improve research output, and virtual academic communities (VACs) have become an important platform to collaborate on. This paper reveals the influencing factors of researchers' collaboration intention in VACs from two attributes: individual, and inter-members. On the basis of the Social Cognitive Theory, Social Exchange Theory, social network theory, and Five-Factor Model, this paper constructed a model demonstrating the influencing factors of VACs researchers' collaboration intention. A self-administered questionnaire was employed on members of four VACs in China to collect data; subsequently, 558 usable responses were analyzed using structural equation modeling. The result showed that openness, conscientiousness, reciprocity, trust, and the social network characteristic had a significant influence on the collaboration intention of researchers in VACs, while self-efficacy, agreeableness, extroversion, neuroticism, and experience had no significant effects on the collaboration intention of researchers in VACs. This model plays a positive role in promoting the research collaboration intention of Chinese VACs researchers and in guiding the construction of VAC platforms.

• Korean Journal of Health Education and Promotion
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• v.30 no.4
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• pp.17-24
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• 2013

Objectives: This paper aims to give a review on the concept, the type, and the purpose of intersectoral collaboration, to provide a framework of intersectoral collaboration, and to review the effectiveness of intersectoral collaboration. Methods: Peer-reviewed journals were searched in Pubmed using the terms of 'intersectoral collaboration,' 'multi-sector policy,' 'intersectoral partnership,' and 'cross-sector collaboration.' In total, 240 papers were identified. After reviewing the abstracts of these papers, 59 papers were chosen to be reviewed in full-text. Contents were extracted from these papers that were pertinent to the research questions. Results: Intersectoral collaboration has been advocated since Alma Ata Declaration. However, it has been largely ignored in practice. Various factors including context, support, task, team, interactional process, individual, and overarching factors can affect the success and the failure of intersectoral collaboration. Conclusions: Some strategies to facilitate intersectoral collaboration activities and future research agenda were suggested.