• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3960-3975
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• 2022

To analyze and compare the most influencing factors on cloud computing adoption (CCA) in the healthcare organization, a systematic review and meta-analyses of studies was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane collaboration recommendations. A search of PubMed, ScienceDirect, Springer, Wiley Online, and Taylor & Francis Online digital libraries (From inception to January 19, 2022) was performed. A total of 17 studies met the defined studies' inclusion and exclusion criteria. Statistical significance difference favoring most influencing factors on CCA were (MD 0.76, 95% CI -1.48 - 3.01, p <0.00001, I² = 90%), (MD 1.40, 95% CI -4.76 - 7.55, p < 0.00007, I² = 97%) (MD 0.17, 95% CI -2.69 - 3.03, p<0.00001, I² = 96%) for technology vs. organizational, technology vs. environmental and business vs. human factors, respectively. Organizational and environmental factors had greater impacts on CCA compared with technological factors. Moreover, business factors were more influential than the human factors.

• Research in Community and Public Health Nursing
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• v.19 no.1
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• pp.13-26
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• 2008

Purpose: The purpose of this paper was to investigate community health status and related factors using community health and social indicators. Method: Data sources were reviewed and data for 10 categories, 75 indicators were collected. Community health status and health-related factors were categorized, and the means and standard deviation of individual indicators were obtained and standardized scores were calculated. In addition, through factor analysis of individual indicators by category using the scores and using the resultant factor coefficients as weights, indexes were calculated by area. Correlation and regression were analyzed. Result: Each indicator was highly correlated with each index, and the indexes were highly correlated with one another. Correlation coefficients were above 0.8 between community health index and population, education, housing, and economy, between population and education, housing and economy, between education and housing and economy, and between housing and economy, environment and industry. But multicollinearity was not found in the result. Significant factors on community health index were population, health personnel and facilities, education, housing and economy, and R-square were 92.4%. Conclusion: Health determinants such as population, health personnel and facilities, education, housing and economy could be influencing factors on community health in community level. These results showed the importance of intersectoral collaboration within a local government. Overall community health can be enhanced by intersectoral collaboration.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.23 no.2
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• pp.126-135
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• 2016

Purpose: This study was done to identify the influence of clinical learning environment and attitude toward physician-nurse collaboration on professionalism in nursing students. Method: The sample consisted of 317 nursing students. Data were collected from October 10 to December 20, 2014 and were analyzed using t-test, ANOVA, Pearson correlation and multiple linear regression with IBM SPSS statistics version 19. Results: The mean score for clinical learning environment was 3.15 out of 5. The mean score on the Jefferson scale attitude toward physician-nurse collaboration (JSAPNC) was 3.31 out of 4. The mean score for professionalism was 3.70 out of 5. The predictors of professionalism were major satisfaction, 'care vs cure' for the JSAPNC and 'patient relationship', 'student satisfaction' for clinical learning environment. Conclusions: Based on these results, educational programs to improve attitude toward physician-nurse collaboration and clinical learning environment should be developed.

• World Technopolis Review
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• v.8 no.1
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• pp.21-42
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• 2019

The purpose of this research was to investigate the factors influencing global expansion/scalability of Kenyan Small and Medium Enterprises (SMEs). Factor analysis and multiple/multivariate regression analysis to determine the functional relationship between independent variables (factors) and the dependent variable was used. The independent variables were: innovation & technology, fitness/appropriateness of management, global marketing strategy; and support environment and the dependent variable, global expansion/scalability. Data was collected from a survey of randomly selected firms of 205, drawn from a population of 440 firms from Kenya Manufacturers Directory, with 175 firms responding. The key findings from the research in relation to Kenyan SMEs were that: there is a functional relationship between global market strategy and global expansion; there is a functional relationship between innovation and technology orientation and global expansion, there is no significant functional relationship between supportive environment of firms and their global expansion; and there is no significant functional relationship between fitness/appropriateness of management and global expansion/scalability. The implications for practice is that the ranking of the factors in order of priority supports focusing concern on the orientation of business strategy toward global market strategy, market research geared at obtaining foreign market intelligence, innovation and technology, product adaptation, service orientation, collaborative ventures, and long-range vision as key factors in making Kenyan firms successful in the international market. The implication for policy and practice is that there is need for collaboration between industry and government in pursuing policies for global expansion/scalability and among SMEs and large enterprises particularly in areas of rapid technological change.

• Journal of Contemporary Eastern Asia
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• v.12 no.1
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• pp.49-63
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• 2013

This work identifies the key factors influencing the success of multidisciplinary, interdisciplinary, and trans-disciplinary R&D projects in transition economies by integrating knowledge management, organizational, inter/intra-collaboration (open-innovation), and leadership perspectives, while also addressing the perspective of the science of team science, which is an integrative approach to R&D. This is followed by providing the major sub-constructs of team science and policy implications to better facilitate multidisciplinary, interdisciplinary, and transdisciplinary R&D projects in knowledge-based transition economies.

• Journal of Information Technology Applications and Management
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• v.10 no.4
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• pp.15-28
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• 2003

This paper examined the impact of supply chain partnership attributes on the SCM performance. For this, relationship commitment, trust, and collaboration were used as attributes for the supply chain partnership. Also the SCM performance was measured by supply chain integration, customer responsiveness, and supplier performance. Based on the statistical analysis of the sample of Korean corporations, it was found that relationship commitment and trust were shown to be significant factors influencing the collaboration. In addition, the collaborative supply chain partnership has a significant positive influences on the SCM performance. These result, in short, supported the importance of supply chain partnership for the successful SCM.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.483-491
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• 2019

The aim of this study is to shed light on factors that influence securing of university research grants. For this purpose, this study emphasizes the role of management capability of industry-university cooperation foundation in securing research grants. We analyze whether the potential capabilities influence research grants using panel data from 194 universities during 2016 to 2018. The results obtained from the Driscoll & Kraay standard errors (DKSE) indicate that a number of variables including the portion of industry-university collaboration professors, academic performance of professors, and the number of paid researchers are positively associated with the amount of external research grant approved. However, the percentage of employees employed for less than two years is negatively related with securing external research grants. Once the dependent variable is measured by the total university research grants, the negative coefficient of employees with short-term career disappears. Instead, the percentage of employees who are in charge of research planning and management and the total number of employees involved in industry-university collaboration foundations are negatively related with the total university research grant amounts.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.93-103
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• 2014

The rapid trends toward outsourcing have created more complex and fragmented multi-tier supply chains for Engineering, Procurement & Construction(EPC) industry. Working with suppliers and sub-suppliers requires continuous integration activities during project execution. The purpose of this study is to identify the factors influencing the performances and relationship satisfaction of second-tier suppliers participating in the project-based supply chain. This study proposes the network embeddedness, collaboration, information-sharing and flexibility as antecedents variables, and collected the survey responses from the second-tier suppliers having experiences with complex projects. The statistical results indicate that the collaboration with supply chain leading firm and first-tier supplier has significant impact on the performances and relationship satisfaction of second-tier suppliers. It was also found that the information-sharing and flexibility influence the network embeddedness as well as collaboration, and that the embeddedness have significant impact on the collaboration.

• Informatization Policy
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• v.21 no.3
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• pp.85-101
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• 2014

This study analyzed the influencing factors for knowledge sharing at GKMC, and then tried to illuminate the policy meanings implied in the results. To build a framework of analysis, reviewing the KM-related studies, the author selected five influencing factors for knowledge sharing, such as CMC quality, community commitment, structural social capital, cognitive social capital, and relational capital, and actors, and identified the fact that all the factors have a positive effect on knowledge sharing. In the case of Kwang-ju metropolitan city, the first factor that affects knowledge sharing is community commitment, the second one is CMC quality, and the third one is structural social capital. This result means that to succeed in knowledge sharing, the local government managers should try to shape the bonding among members, and then to get rid of the causes of complaints. In addition, local government also needs to predict problems claims and take proper actions for GKMC to be used conveniently through monitoring their work continuously. Furthermore, they should make a free and happy working environment, closely examining the change of the relationship among social capitals.