• 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 Information Technology Applications and Management
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• v.25 no.1
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• pp.47-66
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• 2018

The development of IT is transforming from the way it has been working face-to-face in performing projects to the online collaboration method using web-based tools. Therefore, various online collaboration tools are being developed and commercialized, including 'Google Docs', which is called the online office. Using these online collaboration tools, users can share documents with other users and collaborate in real time. Therefore, in recent years, companies and educational institutions have been using online collaboration tools to carry out tasks and projects that require collaboration. Various factors can affect the project performance satisfaction through online collaboration tools. In this regard, it is necessary to confirm the factors affecting the satisfaction of the project performance. However, there is not enough empirical research on the satisfaction of the performance through the online collaboration tool. Therefore, this study will investigate the mechanism of project performance satisfaction through online collaboration tool considering the Individual characteristics of the project performing subject, the relationship characteristics between the project members, and the system characteristics of the collaboration tool.

• The Journal of Information Systems
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• v.32 no.2
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• pp.153-176
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• 2023

Purpose As non-face-to-face work environments become common due to COVID-19, interest in online collaboration tools that can communicate smoothly without time and space limitations is continuously increasing. Most of the prior studies are about the introduction, use intention, and satisfaction of cloud computing-based collaboration tools, and studies on the effects of collaboration tools on work-life balance and quality of life are somewhat lacking. Therefore, in this study, the characteristics of cloud computing-based collaboration tools were derived, and the effect on job satisfaction during work and job stress outside of working hours was confirmed. Design/methodology/approach This study applied the S-O-R framework and conducted an online survey of office workers who used cloud computing-based collaboration tools for more than three months. Hypotheses were tested using structural equations. Findings As a result of the analysis, among the characteristics of collaboration tools, stability, usefulness, and interoperability had higher job satisfaction as more stimuli were applied. In addition, the higher the job satisfaction during work, the higher the job performance, work-life balance, and quality of life.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.7
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• pp.2921-2929
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• 2012

This study aims to empirically analyze the structural effects of partnership characteristics between buyers and suppliers on the performance in supply chains. To this end, an in-depth literature review was performed in advance and four partnership characteristics involving information sharing, participativeness, interdependence, solidarity were identified, and a research model was validated by incorporating collaboration, trust, satisfaction. To analyze data collected from 124 companies, structural equation modeling was employed to test hypotheses proposed in this study and the findings are shown as follow. First, the partnership between buyers and suppliers was confirmed to have a positive effect on collaboration, trust and satisfaction. Second, both of trust and satisfaction were found to positively influence collaboration. Third, our findings also validated that collaboration and trust between buyers and suppliers had significant influences on supply chain performance, however, we found no evidence of a statistically significant relationship between satisfaction and performance. Based on these findings, discussions on the implications of this study and suggestions for further research were given finally.

• Journal of Information Technology Applications and Management
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• v.31 no.2
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• pp.15-34
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• 2024

This study aims to analyze the effect of absorptive capacity on technology collaboration performance and the moderating effect of innovation intermediaries. We set absorptive capacity (potential, realized) as independent variables and technology collaboration performance (relative technology level, development period, cost savings, new product development, collaboration satisfaction) as dependent variables, with innovation intermediaries as a moderating variable. We conducted a survey of 145 ICT companies that experienced technology collaboration and analyzed the data using 101 valid responses. The results show that potential absorptive capacity has a significant effect on new product development and collaboration satisfaction, while realized absorptive capacity has a significant effect on relative technology level, cost savings, and new product development. Furthermore, innovation intermediaries have a moderating effect between realized absorptive capacity and new product development. The contribution of this study to academia and industry is that it highlights absorptive capacity as a key factor influencing technology collaboration performance. The limitations of this study include the lack of accurate measurement of absorptive capacity and innovation intermediaries, as well as a lack of control over external factors. These limitations should be addressed through more in-depth research by systematically defining and measuring them in future follow-up studies.

• The Journal of Information Systems
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• v.21 no.1
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• pp.19-46
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• 2012

This paper classifies the success factors of collaboration system in the shipbuilding industry. We propose the structural model that identifies the relationship between the success factors and organizational performance. To test empirically the relationship between the factors, we developed the measurement of each factors. This paper has examined the relationship between the independent variables and the mediating variables, also has examined the relationship between the parameters and a final dependent variable. The independent variables are as follows, (1) quality of system including reliability, flexibility, and accessibility, (2) the quality of information including contents, expressiveness, and (3) the partner relationship including the information sharing and the compatibility of strategies. The mediating variables are user involvement, parter trust, and user satisfaction. The final dependent variable is business performance. The hypotheses test proved that the system quality significantly affect user satisfaction, the information quality positively influence on the user participation, and the information sharing and strategic fit of partner relationship positively affect partner trust. Also, the user participation and partner trust significantly affect user satisfaction. Finally, the user participation, user satisfaction, and partner trust have a decisive effect on the organizational performance. The results of hypothesis test verified that the quality of information and system, also partner relationship are important to operate successfully the collaboration system in the shipbuilding industry. Also, the mediating variables are important to explain the structural relationship between the independent variables and organizational performance.

• Asia pacific journal of information systems
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• v.16 no.3
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• pp.1-27
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• 2006

In supply chains, collaboration between buyer and supplier can improve firms' ability of supply chains to their objectives and competitive advantages. A key factor in collaboration in supply chain is to identify buyer relationships and supply relationships as antecedents of the factor collaboration. We analyzed data collected from buyers and suppliers sampled from a mobile networks industry in Korea and found that the level of collaboration comes from strong relationships between two parties and the collaboration enhances the supply chain performances. However, buyer relationships and supplier relationships have indirect impacts on trading partners' performance through collaboration whereas both have direct impacts on one's performance. Therefore to enhance supply chain performances, supplier's operational efficiency and buyer satisfaction, firms of buyers and suppliers should consider pursuing practical and substantial collaboration along with buyer-supplier relationships.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.5
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• pp.692-703
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• 2008

In the fashion enterprises of today, there are many kinds of inter-enterprises' collaborations which are related to the strategic management for reinforcing their competitiveness in various fields. These inter-enterprises' collaborations, which began to increase in the year 2000, will increase even more in the near future. The study investigated the differences of collaboration motive types in collaboration areas, trust/devotion, performance and satisfactions of collaborations, and characteristics of collaborated companies and their partners. A questionnaire was administered to 194 key employees of the fashion enterprises in Korea and the analysis was performed by factor analysis, cluster analysis, ANOVA, and $X^2$ test. The results showed that the collaboration motive had four factors: economic efficiency, business expansion, product planning improvement, and brand competitiveness increase. The cluster analysis showed that there were four collaboration motive types: brand competitiveness type, economic efficiency type, product planning type, and passive collaboration type. There were significant differences among the collaboration motive types in regard to collaboration areas, trust/devotion, and the performance/satisfactions of collaboration, and characteristics of companies. The brand competitiveness motive type tended to choose the marketing and brand collaboration areas, had a higher trust, and had higher scores on the performance and satisfactions of collaboration than did the other types.

• 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 the Korean Operations Research and Management Science Society
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• v.40 no.3
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• pp.73-95
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• 2015

Firms have reexamined and restructured their supply chain based on a long-term and partnership perspective as a firm's competitive advantage increasingly relies on its supply chain capability. A number of scholar works has provided evidence to support the positive effects of supply chain collaboration; however, the relationship between collaboration and performance is still inconclusive. This study refuses to have blinded faith on supply chain collaboration, but rather this paper suggests that the contribution of collaboration to supply chain performance improvement can be limited and vary along the contextual characteristics of a buyer-supplier relationship. Moreover, we argue that the relationship between supply chain collaboration and performance can be curvilinear. This paper provides and test hypotheses regarding the relationship between supply chain collaboration and performance. By using data of the Manufacturing Panel Survey (MPS), this study empirically validates the hypotheses. Overall, the results of the study support our hypotheses about a limited contribution of supply chain collaboration to manufacturing performance, which is opposite to a conventional expectation. Particularly, the effects of supply chain collaboration differ depending on the dimensions of performance such as customer satisfaction, quality, cost, delivery, and flexibility as well as the dependency in the buyer-supplier relationship. Moreover, the results of the study indicate that supply chain collaboration and performance may have curvilinear relationships in a certain context. Through a comprehensive model and empirical evidence, this study presents a better understanding of supply chain collaboration and provokes an open discussion about the effects of collaboration. This study also provides insightful implications for managers of buyers as well as suppliers who wish to foster stronger supply chain performance via a deep buyer-supplier relationship and collaboration.