• Korea Journal of Hospital Management
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• v.23 no.1
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• pp.1-15
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• 2018

Recently, the importance of emergency medical services has emerged, as rapid advances in urbanization and industrial development. Accordingly, the need for effective emergency medical services is increasing, and the evaluation of an emergengy medical services centers is conducted to meet these policy needs. The purpose of this study was to analyse the relationship between the structure and the process domain of the evaluation of an emergency medical services center based on the Donabedian's model and to verify the validity as an index of quality evaluation through the results. As a result of the analysis, there were some indicators that showed a different direction than expected, but generally there was a significant correlation between the structure and process domains of the evaluation of an emergency medical services center. This suggests that the process can be improved by improving the structure. In conclusion, as structure and process indicators in evaluation of an emergency medical services center show significant relationship, it can be evaluated as validity as a tool to measure the quality of emergency medical services.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.4
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• pp.61-68
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• 2002

This paper provides a method of consciousness structure analysis for research and development project evaluation using fuzzy structure modeling(FSM). Fuzzy structure modeling, which is a modeling method for consciousness structure, has a large number of pairwise comparison by human subjective judgement and is difficult to check the consistency index of denoting the precision for human judgement. Thus, in this paper, we analyzed the structure of consciousness by fuzzy structural modeling method, introducing the concept of pairwise comparison matrix in Analytic Hierarchy Process.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.5 s.98
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• pp.132-144
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• 1999

In this study, the complexity of the product was evaluated quantitatively considering the product structure, assembly process and disassembly process. To evaluate the complexity of the product, subassemblies of automobile were analyzed and then characteristics of part and subassembly were determined according to product structure, assembly process and disassembly process. Evaluation criteria of complexity were determined considering each characteristics of part and subassembly. Experiential evaluation was accomplished by classified evaluation criteria and time-motion evaluation was accomplished by the relational motion factor with characteristics of part and subassembly in MTM(Methods Time Measurement) and WF(Work Factor). The total complexity of product was determined by experiential evaluation and time-motion evaluation.

• Journal of Korean Academy of Nursing
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• v.28 no.1
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• pp.17-25
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• 1998

This study was done to evaluate the quality of clinical nursing care using the variables of structure, process, and outcome and to analyze the relationship between the variables. This study also explored which variables are validating indicators to evaluate the quality of nursing care. The results analyzed by multiple regression showed that, generally structural variables did not contribute to the variance in outcome scores, but process variables of nursing care contributed significantly to the outcome variable of patient satisfaction. A combination of structure and process variables explained outcome variables more than structural variables alone. Also, patient satisfaction and hospital preference were significantly related to each other. Therefore, if nursing quality evaluation relies solely upon on structural variables such as number of available nurses and workload, it would be inaccurate because process variables of nursing care are strongly related to outcome variables and the two categories of structure and process variables helped to strengthen the relationships. Thus, it is important to focus on variables of structure, process, ant outcome together in evaluating nursing care quality.

• IE interfaces
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• v.23 no.1
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• pp.78-88
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• 2010

In this paper we develop a model for the performance evaluation of defense R&D test development projects based on analytic hierarchy process. First, evaluation indicators are collected through the related literature survey and a delphi inquiry method. Second, stepwise multiple linear regression is used for developing a hierarchical structure for analytic hierarchy process in the evaluation model, which can make the selected evaluation indicators of the hierarchical structure independent. Also we verify the effectiveness of proposed indicators of the performance evaluation by comparing with the existing evaluation indicators. The developed indicators for the performance evaluation is more reasonable and practical than the previous indicators on defense R&D test development projects.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.4
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• pp.1-9
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• 2019

Most product structural components are assembled by various members and castings except casting products. In such cases, a particular structure is required to move and fix each component. In particular, the safety uncertainty of heavy product assemblies can be linked to large accidents. Thus, the safety design and evaluation of additional structures have become more important. In the field and factories, these additional structures are called handling structures, which are designed and manufactured. As the types of products produced become more diverse, the design and manufacture of a handling structure are also diversified. The results of each evaluation should be derived. We develop a logical design and evaluation method, which was previously designed based on empirical data, for the handling structure.

• Asia Marketing Journal
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• v.14 no.4
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• pp.77-94
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• 2013

Really new products (RNPs) provide novel benefits yet many consumers are reluctant to accept these highly innovative new products. Previous literature has shown that mental simulation is an effective method for enhancing the evaluation of RNPs. However, Castano et al. (2008) and Zhao, Hoeffler, and Zauberman (2011) demonstrate conflicting results as to which type of mental simulation (i.e., process versus outcome) is more effective for the enhancement of RNP evaluation. The authors try to reconcile these results by incorporating a moderating variable which is personal need for structure (PNS). PNS is an individual difference variable that taps the differences in people's propensity to cognitively structure and simplify their environment (Neuberg and Newsom 1993). From the analysis of the previous two works, the authors point out that consumers' susceptibility to uncertainty may contribute to the different results, and suggest that this susceptibility is dependent on consumers' PNS. To test the hypotheses established, an experiment was conducted. Waterless washing machine was presented as a RNP and PNS was measured by using the 12-item PNS Scale (Thompson et al. 2001). The results of the study show that for high-PNS consumers, process simulation is more effective than outcome simulation for enhancing the evaluation of a RNP, whereas for low-PNS consumers, outcome simulation is more effective than process simulation. This research contributes to the mental simulation and new product literature by suggesting and verifying that PNS moderates the effects of process versus outcome simulations for enhancing the evaluation of RNPs. This research provides important managerial implications for marketing managers of RNPs, indicating that they should take account of the target consumers' PNS in planning marketing communications. Specifically, when targeting high-PNS consumers, marketing communications that encourage process simulation may be more effective than those that encourage outcome simulation. In contrast, when targeting low-PNS consumers, marketing communications that encourage outcome simulation may be more effective than those that encourage process simulation.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.4
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• pp.452-459
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• 1998

The purpose of this study was to discover a conceptual framework and evaluation process of apparel quality by means-end chain theory. The theoretical study was conducted to find out a conceptual framework and build a hypothetical evaluation process model of apparel quality. Apparel quality was perceived associative network called a means-end chain and was evaluated in several stages. A conceptual framework of apparel quality evaluation was organized into hierarchical relationships among four different dimensions: physical attribute, physical function, instrumental performance, and expressive performance. The means-end structure linked tangible physical attributes and function to more abstract instrumental and expressive performance. A hypothetical evaluation process model linked dimensions of apparel quality to the selected means-end relationship. Different consumers had different means-end chains for the same apparel. Therefore different subjects are likely to have different evaluation paths. From this study we can suggest an evaluation process model of apparel quality.

• Journal of Korean Port Research
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• v.12 no.1
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• pp.9-17
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• 1998

The evaluation structure of complex problems is composed of multi-attributes and hierarchy. A many studies were existed on this problems, but that based on the assumption that the evaluation elements were independent. The actual evaluation problems have the complexity, ambiguity and interlinkage among the elements. In this situation, the fuzzy evaluation process is very effective in settling the complex problems. For evaluation of large scale hierarchical MADM problem, the fuzzy evaluation algorithm is developed in this paper, and that is centering on the identification of fuzzy measures. In this study, we newly identified the weight and interaction among the evaluation attributes. The results of this study are as follows: we can identified the hierarchical structure of the evaluation problem which is composed of the evaluation structure, function and hierarchy; we improved the existed weighting method which could be accomplished by normalizing process, considering the uncertainty and new weight integrating method which come from Dempster-Shafer theory. And we take into account the interaction properties among more than 3 evaluation attributes, which can be compared with the existed studies in which only 2 evaluation attributes taked into account.

• Journal of Korean Port Research
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• v.13 no.1
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• pp.79-86
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• 1999

This paper deals with the evaluation problem of complex systems by introducing a fuzzy approach. The authors are functionally supposing a hierarchical structure model of a complex system and give light on the following problems. First for the purpose of clarifying the characteristics of measures the property and differences between two method such as linear and fuzzy viewpoint are discussed through two level-down evaluation process. Second the integrated evaluation process which keeps reversibility between hierarchical levels is discussed and obtained some necessary conditions for reversibility of fuzzy evaluation. From these results it is expected that the fuzzy approach overcomes partly the limitation of reductionism at the hierarchical evaluation of complex systems.