• Journal of Distribution Science
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• v.12 no.12
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• pp.43-54
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• 2014

Purpose - This study examines how perceived benefits and costs of traditional market support affect relationship quality and support for a marketeer. In addition, it investigates whether support for traditional market aid programs leads to support for the government. The author developed a structural model comprising several variables, in which perceived benefits and costs comprising economic, social, and environmental costs were proposed, to affect the relationship quality (satisfaction and trust) of traditional market aid programs and the government. Consequently, marketeers satisfied and trusted by traditional market aid programs and the government would support the traditional market aid program, resulting in higher support for the government. The model proposed that customer satisfaction would improve customer loyalty and business performance. Thus, the relationship quality (satisfaction and trust) of the traditional market aid program and government was proposed as a core mediating variable between perceived benefits and costs and support. Research design, data, and methodology - To analyze the proposed model, this study investigates the scenario with a traditional marketeer. Data were collected from 331 respondents, and analyzed with SPSS/PC 18.0 and AMOS 18.0. To test the unidimensionality and nomological validity of the measures of each construct, we employed a scale refinement procedure. The result of the reliability test with Cronbach's and confirmatory factor analysis warranted unidimensionality of the measures for each construct. In addition, nomological validity of the measures was warranted from the result of correlation analysis. Results - First, perceived benefit affects the relationship quality of traditional market aid programs and government. Second, perceived costs affect the satisfaction of traditional market aid programs and government. Third, the relationship quality of a traditional market aid program affects the support of a traditional market aid program, and the relationship quality of government affects the support of government. Finally, the support of traditional market aid program affects support of government. The results confirm the findings of previous studies that local development positively influences support, based on the social exchange theory. Conclusions - The theoretical and managerial contributions of this study are as follows. First, it is the first such study, and defines mediating variables, analyzing relationship quality (satisfaction and trust) between perceived benefits and costs and support for the traditional market industry. Further, it investigates the structural relationships between them with the AMOS program. Second, while most previous studies investigating the relationship between similar variables and those of the present study analyzed how perceived benefits and costs influenced support, this study identified the transfer relationship between the support for traditional market programs and support for the government. This study confirms that support for traditional market aid program increases support for the government. Therefore, government policy makers for traditional market aid programs should explain to marketeers the benefits and costs of traditional market development in terms of economic, social, and environmental factors. At the end, limitations, further research directions, and implications are suggested.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.6
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• pp.1091-1098
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• 2010

Victory and defeat of the war depends on follow-on logistics support. The spending time of follow-on logistics support at combat area is greatly influenced by the degree of combat intensity. The main purpose of this study is to compose a optimal supply route for operational sustainability of combat unit at combat area using transport vehicles. This study suggests a composition of optimal supply route for follow-on logistics support which considers the degree of combat intensity. A mathematical programming model and a genetic algorithm suggest to minimize the total spending time of follow-on logistics support. The suggested mathematical programming model is verified by using CPLEX 11.1. This study computes supply route, total spending time, total travel distance, and the number of transport vehicle.

• Current Optics and Photonics
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• v.3 no.5
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• pp.429-437
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• 2019

Temperature adaptability is an important metric for evaluating the performance of an optical system. The temperature characteristics of the optical system are closely related to the material and shape of its lens. In this paper, we establish a mathematical model relating the temperature characteristics to the shape and material of the lens. Then a novel assembly structure that can solve the lens constraint and positioning problem is proposed. From those basics, the correctness of the theoretical model and the effectiveness of the assembly structure are verified through simulated analysis of the imaging quality of the optical system, whose operating temperature range is $-60{\sim}100^{\circ}C$.

• Asia pacific journal of information systems
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• v.29 no.1
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• pp.1-34
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• 2019

The concept of e-Government was first developed and implemented in industrialised countries. Consequently, it should not be assumed that this concept is automatically appropriate for developing countries. This study aims to examine the roles of perceived support quality and support satisfaction in the context of government-to-citizen (G2C) transactions towards behavioural intention and usage in developing countries. To test the proposed model, the official website of Kuwait Government Online Services (KGOS) was selected. A survey with a total of 628 responses was analysed using Structural Equation Modelling (SEM) to investigate the goodness of fit of the model and the underlying indicators. The findings confirm the significance of support quality perceived by citizens and provide insights to explain citizens' intention to use e-Government systems.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.2
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• pp.98-106
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• 2012

The current market preassure of least environmental effects of products needs companies to consider whole life cycle of their products during their design phase. To support the integrated and collaborative development of the products, this paper proposed product data model for extended Product Data Managemen (PDM) that can support integrated design of product, manufacturing process, and customer services, based on the consistent and comprehensive PDM databases. The product data model enables design, manufacturing, and service engineers to express their products and services efficiently, with sharing consistent product data, engineering changes, and both economical and environmental evaluations on their design alternatives. The product data model was implemented with a prototype PDM system, and validated through an example product. The result shows that the PDM based on the proposed product data model can support the integrated design for products, manufacturing process, and customer services, and provide an environment of collaborative product development for design, manufacturing and service engineers.

• Steel and Composite Structures
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• v.29 no.3
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• pp.309-318
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• 2018

Steel girders are the structural members often used for passing long spans. Mostly being subjected to patch loading, or concentrated loading, steel girders are likely to face sudden deformation or damage e.g., web breathing. Horizontal or vertical stiffeners are employed to overcome this phenomenon. This study aims at assessing the feasibility of a machine learning method, namely the support vector machines (SVM) in predicting the patch loading resistance of longitudinally stiffened webs. A database consisting of 162 test data is utilized to develop SVM models and the model with best performance is selected for further inspection. Existing formulations proposed by other researchers are also investigated for comparison. BS5400 and other existing models (model I, model II and model III) appear to yield underestimated predictions with a large scatter; i.e., mean experimental-to-predicted ratios of 1.517, 1.092, 1.155 and 1.256, respectively; whereas the selected SVM model has high prediction accuracy with significantly less scatter. Robust nature and accurate predictions of SVM confirms its feasibility of potential use in solving complex engineering problems.

• Korean Journal of Organic Agriculture
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• v.26 no.2
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• pp.181-202
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• 2018

Most of eco-friendly agrifood processing enterprises in Korean rural area are small and medium-sized business. For this reason, it's hard for eco-friendly agrifood processing enterprises to neither analyze business performance for efficient business management nor establish their own business plan for rational decision-making. Therefore it's necessary to design effective mathematical programming model and to make practical application which can support rational management decision-making ensuring the stable business activity of eco-friendly agrifood processing enterprises. Accordingly this paper focuses on the designing and its application of multi-objective mathematical programming model using goal programming to support rational decision-making of eco-friendly agrifood processing enterprise. Hansalimanseongmachum Food Inc. which runs soy bean processing business making tofu based on regional-based soybean farms around Anseong City will be the specific case to apply multi-objective mathematical programming model in practice. And it will suggest measures to support rational management decision-making of other eco-friendly agrifood processing enterprises.

• Korean Management Science Review
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• v.12 no.1
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• pp.51-60
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• 1995

This paper presents a workload based model and cell design support system (CDSS) in manufacturing cell design. The proposed model consider manufacturing factor such as machine capacity, production volume, process time, and cell size. Based on those information, workload is calculated and according to the workload, the relationship between machine and part is represented by the workload matrix. To form the manufacturing cell, correlation similarity coefficient (CSC) among machines are calculated and a pair of machines that has the highest value of CSC is assigned to a machine cell. Repeat the above steps until the desired manufacturing cells are obtained. Finally, a cell design support system that could increase the efficiency in the application of a proposed model is developed. The proposed model and CDSS are illustrated by a numerical example.

• Journal of Industrial Technology
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• v.22 no.B
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• pp.199-209
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• 2002

This research is experimental thesis to prepare the structural safety of the upper bridge for support type on tunnel and the effect of settlement. Unit weight test and uni-axial compression test have been performed to simulate the physical property of foundation on the tunnel. Tunnel model of slip form type for centrifuge model has been developed to performed the tunnel excavation while field stress is activated. And the support type of tunnel such as umbrella arch method and large diameter steel pipe reinforce method has been tested for the centrifuge model. After the analysis of experiment, results show that internal displacement of large diameter steel pipe reinforce method is smaller than that of the umbrella arch method.

• Biotechnology and Bioprocess Engineering:BBE
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• v.6 no.1
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• pp.42-50
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• 2001

The activity of immobilized cell-support particle aggregates is influenced by physical and biochemical elements, mass transfer, and physiology. Accordingly, the mathematical model discussed in this study is capable of predicting the steady state and transient concentration profiles of the cell mass and substrate, plus the effects of the substrate and product inhibition in an immobilized cell-support aggregate. The overall mathematical model is comprised of material balance equations for the cell mass, major carbon source, dissolved oxygen, and non-biomass products in a bulk suspension along with a single particle model. A smaller bead size and higher substrate concentration at the surface of the particle, resulted in a higher supply of the substrate into the aggregate and consequently a higher biocatalyst activity.