• Agribusiness and Information Management
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• v.8 no.2
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• pp.1-8
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• 2016

The present study has aimed at analyzing the technical and scale efficiencies of credit utilization by the farmer-borrowers in Chittoor district of Andhra Pradesh, India. DEA approach was followed to analyze the credit utilization efficiency and to analyze the factors influencing the credit utilization efficiency, log-linear regression analysis was attempted. DEA analysis revealed that, the number of farmers operating at CRS are more in number in marginal farms (40%) followed by other (35%) and small (17.5%) farms. Regarding the number of farmers operating at VRS, small farmers dominate the scenario with 72.5 per cent followed by other (67.5%) and marginal (42.5%) farmers. With reference to scale efficiency, marginal farmers are in majority (52.5%) followed by other (47.5%) and small (25%) farmers. At the pooled level, 26.7 per cent of the farmers are being operated at CRS, 63 per cent at VRS and 32.5 per cent of the farmers are either performed at the optimum scale or were close to the optimum scale (farms having scale efficiency values equal to or more than 0.90). Nearly 58, 15 and 28 percents of the farmers in the marginal farms category were found operating in the region of increasing, decreasing and constant returns respectively. Compared to marginal farmers category, there are less number of farmers operating at CRS both in small farmers category (15%) and other farmers category (22.5%). At the pooled level, only 5 per cent of the farmers are operating at DRS, majority of the farmers (73%) are operating at IRS and only 22 per cent of the farmers are operating at CRS indicating efficient utilization of credit. The log-linear regression model fitted to analyze the major determinants of credit utilization (technical) efficiency of farmer-borrowers revealed that, the three variables viz., cost of cultivation and family expenditure (both negatively influencing at 1% significant level) and family income (positively influencing at 1% significant level) are the major determinants of credit utilization efficiency across all the selected farmers categories and at pooled level. The analysis further indicate that, escalation in the cost of cultivation of crop enterprises in the region, rise in family expenditure and prior indebtedness of the farmers are showing adverse influence on the credit utilization efficiency of the farmer-borrowers.

• Journal of Preventive Medicine and Public Health
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• v.29 no.2 s.53
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• pp.385-395
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• 1996

This study intends to examine the behavioral pattern and small area variations of health service utilization within Wonju city. We selected three small areas in Wonju city as the study site: Haksung-dong(central area of the city), Moonmak-myun (industrial area which is located 25km away from the center of the city), and Gure-myun (agricultural area which is located 32km away from the center). The data were collected by administering questionnaire interviews with 526 people in three areas. The questionnaire include the items on health service utilization behaviors, sociodemographic characteristics, health status, and perceptions. The statistical methods used for the analysis were ANOVA and hierarchical logistic regression. From the analysis, it was found that there was a variation of health service utilization by areas. Compared to those of other areas, the respondents from agricultural area showed a high probability of using health services. When respondents' personal characteristics were taken into account, the effect of dummy variables representing areas disappeared. Instead, the perceived health status became the prime factor of health service utilization. This result showed that the small area variations of health service utilization is due to the demand factor rather than the supply factor.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.299-303
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• 2015

Flexible space is an adaptable space that has been increasingly used in many office and academic buildings as it increases the use of the space available and reduces the unnecessary building area. However, the architectural, engineering and construction (AEC) industry lacks a formalized method that helps architects predict and update the space utilization of flexible space during the project development, as such prediction aims to maximize the use of the building space available without exceeding the target utilization policy. Consequently, current manual utilization prediction results in lower accuracy level and limits the maximized use of the flexible space, which has multiple space-use types that affect the prediction of utilization. To address this problem, we identified eight space-use type differentiators (SUTDs) based on the literature review and observations and discussed the use of them in automated space-use analysis (SUA), which can predict the utilization of flexible space via a computer program. This research builds on SUA and contributes to flexible space planning by providing a means of a more comprehensive and accurate SUA.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.4
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• pp.27-46
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• 2024

In this study, an attempt was made to propose the establishment of an integrated platform for utilizing research results as one of the measures that can increase the effectiveness of using research results compared to research investment. To this end, the study endeavored to compare and analyze the information services provided by domestic websites and platforms that provide information on the results of national R&D projects. Based on the analysis results, the derived performance utilization platform service direction and performance utilization plan are: 1) establishment of a performance integration platform that integrates the performance information, 2) specification of service users and provision of consumer-oriented services, 3) metadata for linkage of integrated information Standardization, 4) expansion of customized services using the latest technology, and 5) reinforcement of performance data-based analysis services. This study conducted an analysis of literature and about 20 domestic and foreign research performance information providing sites. In future research, there is a need to integrate a unified platform and further analyzed its performance.

• Proceedings of the Korean Nuclear Society Conference
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• 2004.10a
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• pp.1373-1374
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• 2004

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.183-197
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• 2009

The purpose of this paper is to study whether there are differences in the relationship between IT utilization level and organizational performance among large, medium and small-sized enterprises. This study first assessed the immediate influence of IT utilization level on organizational performance, and then further examined the moderating effects of the organizational size and the environmental dynamism that had influences on the relationship between IT utilization level and organizational performance. The empirical test revealed that IT utilization level had significant impact on organizational performance in case of all sized enterprises. But, the sub-group analysis revealed that IT utilization level had no statistically significant impact on organizational performance in case of large enterprises despite of higher IT utilization level than small and medium-sized enterprises. The relationship between IT utilization level and organizational performance was not moderated significantly by environmental dynamism in case of all sized enterprises. But, the sub-group analysis revealed that environmental dynamism had significant moderating effect on the relationship between IT utilization level and organizational performance in case of large and small-sized enterprises when there was a high level of environmental dynamism.

• Solar Energy
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• v.9 no.2
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• pp.14-21
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• 1989

The heat transfer analysis is performed on unloaded solar utilization dryer, and thermal performance for a prototype model while drying red-pepper is also investigated. Results of theoretically derived thermal equations are in good agreement with experimental data. This constructed feature of the prototype demonstrates the excellent technical drying performance. Finally, this paper recommends the further work to develop advanced and economic solar utilization multi-purpose dryer.

• International Commerce and Information Review
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• v.12 no.4
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• pp.3-24
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• 2010

This study aims to identify the determinants on the implementation level of e-Trade of Chinese exporters in Shandong Province, China. From the review of previous studies, a research model and six hypotheses were set up and tested by the multiple regression analysis with total 127 effective survey data. Among the company characteristics, the company size was statistically significant to the utilization range and the utilization level. But unlike former studies in Korea, the utilization range showed the (-) mark. On the other hand, the innovative attitude of CEO didn't show statistical significance to both the utilization range and the utilization level. Among the information characteristics, the IT infrastructure was not statistically significant to both the utilization range and the utilization level. On the other hand, the education and training of technical personnel didn't have a significant effect on the utilization range, but it had a statistically significant effect on the utilization level. Among the external environment, the intensity of competition had a statistically significant effect on both the utilization range and the utilization level. In summary, the implementation level of e-Trade of Chinese exporters in Shandong Province, China is still behind that of Korea. But the fact that the small and medium-sized Chinese exporters are using Internet more actively than large companies suggests some implications for those of Korea.

• Health Policy and Management
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• v.12 no.1
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• pp.125-143
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• 2002

The objectives of this study were analysis of patient\`s characteristics and market segmentation in oriental medical care and western medical care. This study focused on medical utilization using Anderson's health utilization model. The source of data was 1998 National Health and Nutrition Survey which Korean Institute For Health and Social Affairs carried out. A stratified multistage probability sampling design was used in this survey. The analysis was conducted using the statistical software package SPSS version 10.0 and Answer Tree 2.1 which is one of data mining methodology. The results were as follows ; 1) 44.9% of respondents reported visiting oriental medical center within recent two weeks. 3.4% of them used oriental medical care. The group of age, kind of disease and medical expenditure are associated with the difference western and oriental medical utilization rate. 2) There were several factors related to utilization of oriental medical care according to decision tree. Especially, important factors that patient chose his medical center were kinds of disease, kinds of common medical use, and expenditure. 3) in the results of CART analysis, market of oriental medical care were classified by seven categories. The major groups who have a preference for oriental medicine were those musculo-skeletal, cerebra-vascular disease, or chronic headache patients, and they had a preference fur oriental medical care in common use. These results show that oriental and western medical market were divided into various areas by market segmentation.

• Journal of the korean academy of Pediatric Dentistry
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• v.24 no.1
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• pp.195-203
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• 1997

The purpose of this study is to provide framework for understanding women's preventive dental utilization. In this paper Andersen-Newman's model is applied to the use of dental visits. This model consists of predisposing, enabling, and need components that describe a person's decision to use preventive health services. The sample consisted of 1907 women living Iksan city. Models are operationalized using stepwise multiple regression analysis and path analysis. The number of independent variables used in the analysis was 27 in total, i.e. 20 predisposing components, 6 enabling components, and 1 need component. Preventive dental utilization was measured based on the number of visits. The data collected by means of a questionnaire survey. In this study, the amount of variance by the model was 11 percent. Number of restricted activity days caused by oral disease, perceived threat of dental disease, having a regular dental care, and income were found to have significant major effects on preventive dental utilization of women. Number of restricted activity days caused by oral disease was the most important variable affecting preventive dental utilization of women.