• Journal of Agricultural Extension & Community Development
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• v.17 no.3
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• pp.385-418
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• 2010

This study aimed to find the way to help participants build capacity in rural development projects, through some case studies and Q-methodology. Decentralization and diffusion of bottom-up approach in rural development projects are the main contextual factors in this study. With the ethos of bottom-up approach in rural development, the human and financial inputs for capacity building increased drastically in the area of rural development policy. Four types of capacity building methods were identified in this study; training, consulting, learning organization, and forum. Theses methods were used more at planning step than implementation step in rural development projects. The government's effort to strengthen leadership in rural areas should be continued. The existing government's training program for capacity building had better include more diverse clients. Actions for capacity building should be centered on the needs of the participants in fields. Especially, organizing learning units is very important. Governments' rural development policy should establish the proper process which can help local actors plan their projects with enough time span.

• Journal of Agricultural Extension & Community Development
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• v.23 no.4
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• pp.431-439
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• 2016

There are rural development policy for creating liveable rural. The support structure of the capacity phase of the Master Plan of Comprehensive Rural Village Development Project would that one. The support structure of the capacity phase has implied the assumption that the accumulated capacity of the village to the previous step will have a significant impact on the business to the next level. Rural development should be understood that simple: rather than for business applications, processes community is going to build capacity through continuous learning and practice. Its accumulated capacity should be possible to predict and then steps must be developed continuously for a long time, looking at the previous phase. Thus, according to the support structure of the capacity phase, it should be applied a causal relationship between the front and rear phase.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.211-218
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• 2018

In this paper, we propose that investigating the relationship between the dynamic capacity and the technological innovation performance of firms. Based on the previous research, we divide the dynamic capacity into the adaptive capacity, absorption capacity, and productive capacity. Among the 3,400 companies responding to the technical statistics of SMEs in 2011, we performed multiple regression analysis with 2,807 except service industries. As a result, the absorptive capacity and productive capacity have a positive effect on the technological innovation performance at the 99% level, whereas the adaptive capacity has a negative effect on the technological innovation performance at the 95% level. The implications of this study are as follows. First, in order to improve the performance of technological innovation, it is important to strengthen the absorption capacity and productive capacity of companies. Absorption capacity shows that it is important to secure sufficient R & D manpower and R & D cost to utilize internal knowledge as well as to bring outside knowledge into the capacity to assimilate and utilize external knowledge. Second, the ability to commercialize a product is a capability to commercialize a technology that has succeeded in development, showing that the technology development organization must have the capability of post-development commercialization as well as technology development. Finally it shows the negative effect on adaptation capacity and innovation performance. Companies actively utilize external sources of information in order to respond to and adapt to the rapidly changing business environment. However, the results of this study show that a strategic approach is needed to use external sources of information and technology development resources. Especially as the use of external information resources and technology development resources increases.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.3
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• pp.49-56
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• 2011

Estimating optimum hardware capacity of an e-learning system is very important process to grasp reasonable size of designing technique architecture and budget during step of ISP(information strategic planning) and development. It hugely influences cost and quality of the whole project. While investment on information system hardware has been continuously increased, there was no certified hardware capacity estimating method in e-learning system development. A guideline for hardware sizing of information systems was established by Telecommunication Technology Association in 2008. However, the guideline is not appropriate for estimating optimum hardware capacity of an e-learning system because it was designed to provide general standards for estimating hardware capacity of various types of projects. The purpose of this paper is to provide a methodology for estimating optimum hardware capacity in e-learning system development. To develop the methodology, this study, first of all, analyzes two e-learning development projects, in which the guideline was applied to estimate optimum hardware capacity. Then, this study finds out several key factors influencing on hardware capacity. Finally, this study suggests a methodology for estimating optimum hardware capacity of an e-learning system, in which weights for the factors are determined through AHP analysis.

• 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.

• Journal of Environmental Impact Assessment
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• v.15 no.6
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• pp.385-394
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• 2006

Land resources should be managed not only for human utilizations but also for environmental preservation. Based on that, environmental capacity should be estimated in both environmental and developmental ways. This study was performed for developing an estimation model for relative environmental capacity, considering both Development Tolerance Index(DTI), which shows environmental and ecological conservation value and is based on national environmental assessment indicators of the Korea Ministry of Environment, and Development Attractiveness Index(DAI), which shows topographical characteristics and geographical accessibility. The relative environmental capacity in this study can be helpful to coping with the conflict in planning and managing the use of land resources. The relative environmental capacity in this study, however, did not include either environmental or ecological sensitivity of land resources. This limitation should be solved through further research.

• Journal of Practical Agriculture & Fisheries Research
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• v.22 no.2
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• pp.37-50
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• 2020

The purpose of this study is to identify professional development needs of Extension professionals and to evaluate competencies essential to be a successful Extension professional. For the purpose of this study, quantitative capacity data of extension professionals were collected from the survey instrument based on Extension Professional Evaluation Scale in Utah state university. Descriptive statistics, mean difference analysis, IPA(importance-performance analysis) analysis were used to analyze the data. The main results of the study are as follows. First, it is necessary to first reinforce education on specialized technical capacity among the three extension capacity areas. The current status of the professional capacity of extension professionals in the three areas was found to be at the average level, and the level of professional technical capacity was relatively low. In addition, the importance was evaluated that professional technology capacity is more important than the project development/evaluation capacity and communication capacity. Second, Second, in order to reinforce communication capacity, it is necessary to strengthen education on 'development of joint educational materials with colleagues'. Third, in order to reinforce project development/evaluation capacity, it is necessary to strengthen education on 'project planning'. In the IPA analysis results, the importance was high, but the capacity with relatively low performance were analyzed as 'project planning'. Fourth, in order to reinforce professional technical capacity, it is necessary to develop an education program for 'crop expertise' first. In the IPA analysis results, the importance was high, but the competencies with relatively low performance were analyzed as 'crop technology expertise'.

• STI Policy Review
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• v.1 no.2
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• pp.1-18
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• 2010

The development and maintenance of human capacity in economies is critical to long term competitiveness, but also for the overall health and environment of regions. Yet, human science and technology-based capacity is multidimensional and has interrelated characteristics which present certain policy challenges. This paper addresses a range of issues specific to a discussion on human capacity in S&T. First, the paper emphasizes the importance of acknowledging the complexity of human capacity issues and how they evolve along the STEM (science, technology, engineering, and mathematics) pipeline. The pipeline is an often used reference to describe the training and development in STEM disciplines, from early childhood education, to more advanced training, and finally to professional collaboration and interaction and serves as a useful organizing framework for the discussion of capacity along the career evolution process. Second, the paper offers an organizing framework for discussion of policy mechanisms that have been developed to address issues and gaps that occur along this STEM pipeline. Specifically, it contrasts the traditional mechanisms of building human capacity in STEM areas with newer "gap filling" and integrated approached to addressed human capacity disparities and priorities. Third, the paper addresses core challenges in human capacity in STEM, including the education and training, participation of women and underrepresented groups, brain drain/brain circulation issues, and the globalization of science. The paper concludes with a discussion of policy implication for the development of human capacity.

• Journal of the Korean Home Economics Association
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• v.25 no.1
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• pp.121-127
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• 1987

The purpose of this study was to investigate the importance of mental capacity and to see whether it can be a barometer to predict childrne's cognitive development. The instruments used were Pictoral Test of Intelligence to select homogeneous samples, Cucui Scale for their M-power and Conservation Test. The results showed that M-power develops as age increases, and it can be a strong variable to predict their cognitive development. It has been demonstrated that capacity increases developmentally but whether this reflects changes in capacity perse, or in the efficient use of that capacity is a debatable issue. More study needs to be repeated for this matter.

• Proceedings of the IEEK Conference
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• 2000.07a
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• pp.125-128
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• 2000

In this paper, we derive forward link Erlang capacity reflecting both outage probability and blocking probability of each traffic type in mixed traffics environment. We firstly determine the number of available virtual trunks of the forward link from a circuit switching perspective. Then, capacity sharing model and generalized Erlang model are employed to derive joint Erlang capacity of various traffics types.