• Title/Summary/Keyword: support performances

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A Study on the Factors of the Older Adults' Memory Performance (노인의 기억수행에 영향을 미치는 요인에 관한 연구)

  • Min, Hye-Sook
    • The Korean Journal of Rehabilitation Nursing
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    • v.3 no.2
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    • pp.181-195
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    • 2000
  • The purpose of this study is to find out the effects of personal characteristics, social support, depression, and metamemory on the older adults' memory performances. The subjects of the study consisted of 95 older adults over the age of 60 who are living in Busan. Some data were collected by means of the interview method, using questionnaires for metamemory (MIA questionnaire by Dixon, et al., 1988), and depression(GDS by Yesavage and Sheikl, 1986), social resoueces(Duke university, 1978), family support(Hyun-Sook Kang, 1985). The other data were collected by the testing method on the memory performance such as the immeadiate word recall task, the delayed word recall task, the word recognition task(Elderly Verbal Learning Test by Kyung Mi Choi, 1998), and the face recognition task(Face Recognition Task tool developed by Hye-Sook Min). The results of this study were as follows; 1. The level of metamemory is 3.4 points in the 5 point scale, the grades of the task and the achievement are relatively high and the grades of the change, the control, and the anxiety are relatively low in the sub-concepts. 2. Metamemory have significant relation with age(r=-.44), educational attainment(r=.46), depression(r=-.58), family support(r=.20), social resources(r=.20). 3. The significant variables to predict older adults' metamemory are educational attainment(22%), sex(11%), age (8.3%), depression(4.7%), and illness state(3%). 4. The strong variables to predict memory performances are metamemory, age, depression, social resources, educational attainment, illness state, and limitation of daily living activity related to illness. In conclusion, the enhancement strategies of metamemory and the social support and the prevention or reduction of depression are necessary to increase older adults' memory performances. Ultimately in this respect nurses' roles are very important in developing and performing some intervention programs for old adults' memory improvement, which have significant meanings in the field of nursing science.

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The Effect of Success Factors on SCM Performance in Fashion Industry Stream (패션산업 스트림에 따라 SCM 성공요인이 SCM 성과에 미치는 영향연구)

  • Choi, Jin-Hyeok;Shin, Sang-Moo
    • Journal of Fashion Business
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    • v.16 no.2
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    • pp.12-26
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    • 2012
  • Fashion industry characteristically goes through many steps to manufacture and to retail apparel products. Complex inter-industry channels with many intermediaries in fashion industry provoked many problems regarding recognizing customer's need, delivering time, flexibility, and inventory control. Therefore, the purposes of this study were to investigate the differences between apparel manufacturing and distribution process in SCM success factors and performances, and to investigate how SCM success factors affect on performances. Questionnaire was developed and distributed to apparel industry. The returned 116 questionnaires were analyzed by Cronbach's alpha for internal validity, factor analysis, t-test, and regression analysis with SPSS14.0. The results of this study were as follows: There was significant difference of SCM success factors between apparel manufacturing and distribution regarding process standardization and integration. There were significant differences of SCM performances such as reaction for customer, flexible management, cost minimization, and maximized asset utilization which distribution was higher than apparel manufacturing process. In apparel manufacturing, SC strategic relation, and integrative management influenced upon reaction for customer of SCM performances. SC integrative management influenced upon cost minimization. SC integrative management influenced upon maximized asset utilization. In distribution, SC strategic relation, and activated support for SCM influenced upon reaction for customer of SCM performances. SCM specialization, credible relationship among supply chains, activated support for SCM, and SC integrative management influenced upon cost minimization. SCM specialization, credible relationship among supply chains, and SC integrative management influenced upon maximized asset utilization.

An Empirical Study on the Interactive Effects of Information Technologies on Corporate Performances (기업성과에 대한 정보기술수준 측정요인의 상호작용효과)

  • Lee, Dong-Man;Jung, Ki-Eok
    • Asia pacific journal of information systems
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    • v.9 no.2
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    • pp.39-58
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    • 1999
  • This paper determines the interactive effects of information technologies(IT) on corporate performances. IT was measured inclusively in terms of technology level, information level, functional level, and management level. Corporate performances were composed of the effectiveness of IT and the financial performance of a corporation. The effectiveness of IT was measured in terms of satisfaction with the support of IT department and with output information, whereas financial performance of corporation was measured in terms of market growth and profitability. Theoretical and empirical analyses lead to the followings. In the theoretical aspect, IT in a corporation needs to be measured broadly. And a study of IT related to corporate performance needs to use either a conversion effectiveness model or an intermediate effect model rather than a direct effect model. In the empirical aspect, the effectiveness of IT within an organization improves with some of the interactive effect of ITs including technology level, information level, functional level, and management level. So do some of the financial performances of a corporation.

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Knowledge Exchange Activities and Performances in Software Industry Clusters: Focus on Firm Size Effect

  • CHO, Sung Eui
    • The Journal of Economics, Marketing and Management
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    • v.10 no.6
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    • pp.9-16
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    • 2022
  • Purpose: This research investigates the differences in knowledge exchange activities and performances between startups and large companies in software industry clusters. Research design, data, and methodology: Six independent factors of human resource information, R&D and technology, marketing knowledge, government support information, strategic knowledge, and cooperation information were extracted to test the firm size effect in the relationships with two performance factors such as satisfaction with industry cluster location and satisfaction with financial performances. Data were collected through a survey of entrepreneurs, managers, and employees and tested by statistical analysis methodologies. Results: Three independent factors of human resource information, R&D and technology, and cooperation information were particularly significant in the relationship with both dependent factors. Strategic knowledge significantly affected financial performance. Knowledge exchange activities were more important in startups than in large companies for all eight factors. Conclusion: Policies for software industry clusters need a different approach for startups and large companies.

Downscaling Technique of the Monthly Precipitation Data using Support Vector Machine (지지벡터기구를 이용한 월 강우량자료의 Downscaling 기법)

  • Kim, Seong-Won;Kyoung, Min-Soo;Kwon, Hyun-Han;Kim, Hyung-Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.112-115
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    • 2009
  • The research of climate change impact in hydrometeorology often relies on climate change information. In this paper, neural networks models such as support vector machine neural networks model (SVM-NNM) and multilayer perceptron neural networks model (MLP-NNM) are proposed statistical downscaling of the monthly precipitation. The input nodes of neural networks models consist of the atmospheric meteorology and the atmospheric pressure data for 2 grid points including $127.5^{\circ}E/35^{\circ}N$ and $125^{\circ}E/35^{\circ}N$, which produced the best results from the previous study. The output node of neural networks models consist of the monthly precipitation data for Seoul station. For the performances of the neural networks models, they are composed of training and test performances, respectively. From this research, we evaluate the impact of SVM-NNM and MLP-NNM performances for the downscaling of the monthly precipitation data. We should, therefore, construct the credible monthly precipitation data for Seoul station using statistical downscaling method. The proposed methods can be applied to future climate prediction/projection using the various climate change scenarios such as GCMs and RCMs.

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Study on the Development of Two-Stage Centrifugal Blood Pump for Cardiopulmonary Support System

  • Horiguchi, Hironori;Tsukiya, Tomonori;Nomoto, Takeshi;Takemika, Toratarou;Tsujimoto, Yoshinobu
    • International Journal of Fluid Machinery and Systems
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    • v.7 no.4
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    • pp.142-150
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    • 2014
  • In the cardiopulmonary support system with an ECMO (extracorporeal membrane oxygenation), a higher pump head is demanded for a blood pump. In order to realize a blood pump with higher pump head, higher anti-hemolysis and thrombosis performances, a study on the development of unprecedented multistage blood pump was conducted. In consideration of the application of the blood pump for pediatric patients, a miniature two-stage centrifugal blood pump with the impeller's diameter of 40mm was designed and the performance was examined in experiments and computations. Some useful knowledge for a design of the blood pump with higher anti-hemolysis and thrombosis performances was obtained.

Factors Affecting Corporations Practice of Supply Chain Management: With a Focus on Information Sharing and Performances (기업의 공급사슬관리실행의 영향요인: 정보공유와 성과를 중심으로)

  • Na, Sang-Gyun;Wang, Jian-Xin
    • Journal of the Korea Safety Management & Science
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    • v.14 no.3
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    • pp.193-205
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    • 2012
  • Since manufacturing and supplying corporations today come to view their practice of SCM as important, it becomes essential to analyze and control the structural relationship between the information sharing among corporations and the performances resulting from their practice of SCM. It is thus the purpose of this paper to examine the factors that may prompt corporations to implement SCM by means of analyses into the relationship between information sharing and practice of SCM which corporations should lay stress on as well as the relationship between financial and non-financial performances of corporations. The findings of the study can be summed up as follows: First, as for the relationship between information sharing among and practice of SCM by corporations, information sharing among corporations turned out to affect such factors of implementing their SCM as trust, commitment mutual dependence. Consequently, corporations are requested to endeavor to implement SCM itself faithfully if they really aim to achieve their performances by practice of SCM and, at the same time, to make efforts to obtain understanding and support for information sharing among themselves. Second, from the analysis of the relationship between SCM and financial as well as non-financial performances of corporations, it was found that trust, a factor of SCM practice, had influence upon non-financial performances of corporations, but not upon their financial performances, while commitment and mutual dependence affected both financial and non-financial achievements of corporations. Therefore, it was made clear from the analysis that the decision and systematic control of SCM activities which best suit to a corporation play an important role in improving its financial and non-financial performances, because they greatly depend on the implementing extent of SCM factors such as trust, commitment and mutual dependence among corporations.

JIT Purchasing of Korean Manufacturers and It's Impact on Purchasing Performances (국내 제조기업의 JIT구매방식의 도입과 구매성과에 관한 연구)

  • Kim, Dae-Hong;Kim, Sang-Bin
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.3
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    • pp.55-61
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    • 2006
  • The purpose of this study is to propose guidelines for Introducing the JIT(Just-In-Time) purchasing to enhance the competitiveness of Korean manufacturing companies. This study employed an extensive survey on the use of the JIT purchasing systems among different Korean manufacturing companies to understand the current status of the JIT purchasing in use and to identify the benefits from implementing JIT purchasing. The survey has covered 163 manufacturing companies of different sizes from various sectors of Korean industries including electronics, automobiles, machineries, and textiles. The research results support that the JIT purchasing would contribute to increase the purchasing performances of Korean manufacturing companies.

Disaggregation Approach of the Pan Evaporation using SVM-NNM (SVM-NNM을 이용한 증발접시 증발량자료의 분해기법)

  • Kim, Seong-Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.1560-1563
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    • 2010
  • The goal of this research is to apply the neural networks model for the disaggregation of the pan evaporation (PE) data, Republic of Korea. The neural networks model consists of support vector machine neural networks model (SVM-NNM). The disaggregation means that the yearly PE data divides into the monthly PE data. And, for the performances of the neural networks model, it is composed of training and test performances, respectively. The training and test performances consist of the historic, the generated, and the mixed data, respectively. From this research, we evaluate the impact of SVM-NNM for the disaggregation of the nonlinear time series data. We should, furthermore, construct the credible data of the monthly PE from the disaggregation of the yearly PE data, and can suggest the methodology for the irrigation and drainage networks system.

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Surface elasticity-based modeling and simulation for dynamic and sensing performances of nanomechanical resonators

  • Kilho Eom
    • Advances in nano research
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    • v.14 no.3
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    • pp.285-294
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    • 2023
  • The dynamic and sensing performances of nanomechanical resonators with their different boundary conditions are studied based on surface elasticity-based modeling and simulation. Specifically, the effect of surface stress is included in Euler-Bernoulli beam model for different boundary conditions. It is shown that the surface effect on the intrinsic elastic property of nanowire is independent of boundary conditions, while these boundary conditions affect the frequency behavior of nanowire resonator. The detection sensitivity of nanowire resonator is remarkably found to depend on the boundary conditions such that double-clamping boundary condition results in the higher mass sensitivity of the resonator in comparison with simple-support or cantilever boundary condition. Furthermore, we show that the frequency shift of nanowire resonator due to mass adsorption is determined by its length, whereas the frequency shift is almost independent of its thickness. This study enables a design principle providing an insight into how the dynamic and sensing performances of nanomechanical resonator is determined and tuned.