• Nuclear Engineering and Technology
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• v.34 no.4
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• pp.331-343
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• 2002

We performed an importance analysis of In-Service Testing (157) components for Ulchin Unit 3 using the integrated evaluation method for categorizing component safety significance developed in this study. The developed method is basically aimed at having a PSA expert perform an importance analysis using PSA and its related information. The importance analysis using the developed method is initiated by ranking the component importance using quantitative PSA information. The importance analysis of the IST components not modeled in the PSA is performed through the engineering judgment, based on the expertise of PSA, and the quantitative and qualitative information for the 157 components. The PSA scope for importance analysis includes not only Level 1 and 2 internal PSA but also Level 1 external and shutdown/low power operation PSA. The importance analysis results of valves show that 167 (26.55%) of the 629 IST valves are HSSCs and 462 (73.45%) are LSSCs. Those of pumps also show that 28 (70%)of the 40157 pumps are HSSCs and 12 (30%) are LSSCs.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.41-50
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• 2017

The purpose of this paper is to improve the service tree analysis introduced recently by Geum et al. [15]. Service tree analysis structures the service based on the customer participation perspective and provides a qualitative analysis method categorizing the service elements on the basis of its impact to top service. This paper attempts to apply the concept of reliability importance to the service tree analysis as a perspective of quantitative analysis, which is considered little in Geum et al. [15]. Reliability importance is a measure of the structural impact of the components that make up the system on the system lifetime in reliability engineering field and often used in fault tree analysis. We transform the reliability importance into service importance in accordance with service tree analysis, so that the influence of service elements on the service can be judged and compared. The service importance is defined as the amount of change of the service according to the change of the service element, therefore, it can be utilized as an index for determining a service element for service improvement. In addition, as an index for paired service elements, the relationship between the two service components can be measured by joint service importance. This paper introduces conceptual changes in the process of applying reliability importance to service analysis, and shows how to use the service importance for identifying the priority of service element for the final service and improving customer satisfaction through an example. By using the service importance and joint service importance in service tree analysis, it is possible to make efficient decision making in the process of determining the service elements for analyzing and improving the service.

• Korean Journal of Human Ecology
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• v.17 no.6
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• pp.1167-1180
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• 2008

The purpose of this study was to take the gauge of the importance-performance of the clothing store attribute in the department store. The survey was administered to customers of department stores in Deajeon city and frequency analysis, factor analysis, reliability analysis, and importance-performance analysis were used to analyze the data of 37 clothing store attributes. The findings of this study were as bellows: 1. 8 factors were distracted from 37 clothing store attributes by factor analysis (Factor 1: goods, Factor 2; store's facility and environment, Factor 3; salesman and service, Factor 4; brand, Factor 5; price, Factor 6; store's atmosphere, Factor 7; convenience of the transportation and access, Factor 8; promotion and advertisement) 2. as results of importance-performance analysis, 10 attributes were shown in area I (high importance and high performance) which needed a strategy of Keep Up the Good Work, 6 attributes in area II (low importance but high performance) fitted a strategy of Possible Overkill, 12 attributes in area III (high importance but low performance) corresponded to a strategy of Concentrate Here, and finally a strategy of Low Priority was needed to 9 attributes in area IV (low importance and low performance).

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.8
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• pp.802-813
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• 2012

This study establishes how the clothes consumption value, need for uniqueness, and use information sources could influence the importance of apparel product attributes and the importance of store attributes. Data were collected through a survey of adults in their 20's and 30's with 48 questionnaires for statistical analysis. The collected data were processed with the programs AMOS 16.0 and SPSS 18.0 for windows and reliability analysis, correlation analysis, factor analysis, and structural equation analysis were conducted to analyze the data. The results in this research are follows. First, the clothes consumption value influences the importance of apparel product attributes both directly and indirectly and the importance of store attributes indirectly through use information sources. Second, the need for uniqueness influences the importance of apparel product attributes indirectly and importance of store attributes both directly and indirectly through clothes consumption value and use information sources. The implications of these findings and suggestions for future study are also discussed.

• Korean journal of food and cookery science
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• v.31 no.1
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• pp.53-61
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• 2015

The purpose of this study is to investigate the importance-performance analysis for country-of-origin labeling at restaurants. There is a growing concern over food safety as well as interest in the country-of-origin for food ingredients served at restaurants. In this study, the importance-performance analysis for the labeling of country-of-origin at restaurants, revealed that there were significant differences in all 12 attribute items, and the importance was scored higher than the performance in all items. Also, the importance-performance analysis for the attributes of the country-of-origin labeling showed that 'supportive government policies', 'system of controls for violation of the country-of-origin labeling', and 'penalty for violation of the country-of-origin labeling' are included in the second quadrant, which has a high level of importance but a low level of performance.

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.11-25
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• 2024

The purpose of this study is to investigate the improvement of prediction performance and changes in variable importance in SEM-ANN two-stage analysis. 366 cosmetics repurchase-related survey data were analyzed and the results were presented. The results of this study are summarized as follows. First, in SEM-ANN two-stage analysis, SEM and ANN models were trained with train data and predicted with test data, respectively, and the R² was showed. As a result, the prediction performance was doubled from SEM 0.3364 to ANN 0.6836. Looking at this degree of R² improvement as the effect size f² of Cohen (1988), it corresponds to a very large effect at 110%. Second, as a result of comparing changes in normalized variable importance through SEM-ANN two-stage analysis, variables with high importance in SEM were also found to have high importance in ANN, but variables with little or no importance in SEM became important in ANN. This study is meaningful in that it increased the validity of the comparison by using the same learning and evaluation method in the SEM-ANN two-stage analysis. This study is meaningful in that it compared the degree of improvement in prediction performance and the change in variable importance through SEM-ANN two-stage analysis.

• Educational Technology International
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• v.20 no.1
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• pp.1-24
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• 2019

The purpose of this study is to determine priorities for designing digital citizenship education based on the key indicators of importance-performance. Survey data were collected from 283 university students in South Korea and analyzed with Importance-Performance Analysis to diagnose the current level of digital citizenship and draw their needs for educational treatment. The results showed that for all the factors except the Technical Skills (TS), the level of importance was significantly higher than that of performance. Another finding indicated that in the Importance-Performance matrix all the factors were located in the first quadrant (i.e. maintaining the current state) and the third quadrant (i.e. low demands for improvement). Specifically, two items located in the second quadrant where urgent treatment is required could have to do with the increasingly active participation in socio-political issues raised in South Korea. This study offered a window into what to focus on when designing digital citizenship education based on the systematic analysis of the needs for digital citizenship education in South Korea.

• Journal of the Korean housing association
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• v.19 no.2
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• pp.55-62
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• 2008

This study is researched to provide design guidelines of service facilities and programs that apartment residents want along with the increased quality of life. This study is signifiant because it sought effective methods to activate the com-munity culture through service facilities in apartment complexes and the design standard and planning direction for residents. The study results are as follows. In the result of the correlations analysis and multiple regression analysis for the importancy of service facilities in apartment complexes, the following orders were considered as important factor; man-ager office, open space, resident community facility, elderly people meeting and activity facility, walking paths, resident athletic facility, a children's playground, library, and rest areas in the complex. and result of the correlations analysis and multiple regression analysis is the following: service facilities whole importance (y) = 1.413$+0.262^*{\times}1$ (manager office importance)$+0.271^*{\times}2$ (open space importance) $+0.185^*{\times}3$ (resident community facility importance) $+0.136{\times}4$ (elderly people meeting and activity facility importance)$+0.036^*{\times}5$ (walking paths importance) $+0.031^*{\times}6$ (resident athletic facility importance) + $(-0.042)^*{\times}7$ (a children's playground importance) + $(-0.045)^*{\times}8$ (library importance) + $(-0.0097)^*{\times}9$ (rest areas importance).

• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.241-248
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• 2013

Importance-Performance Analysis(IPA) is a well-known methodology to find the area for improvement. However, the IPA uses different strategies depending on an attribute falls in either 'Concentrate', 'Keep up', 'Possible overkill', or Low priority' quadrant. Problems can occur when attributes locate near the demarcation lines. To solve this problem of IPA, I suggest a modified importance-satisfaction analysis which integrates the Slack(1994)'s diagonal approach and Kano's ASC(Jang et al., 2012) into Yang(2003)'s Importance-Satisfaction model. For this, I investigated 21 smartphone's quality attributes, which adopted from Song and Park(2012)'s study, and conducted a survey of 280 university students for the results of Kano' model and the importance and satisfaction of the quality attributes. The results show that the proposed model enables the business managers to prioritize the quality attributes for improvement through the interpretation on the continuous diagonal line using the Kano's questionnaire only, without acquiring any additional survey for importance of attributes. Accordingly, it is expected that the newly proposed method will diminish the limitation of the existing IPA. In addition, to test the validity of the ASC, this study conducts a comparative analysis between the Kano's ASC and Tontini(2007)'s method to determine the relative importance of quality attributes.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.329-338
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• 2009

The importance performance analysis is a simple and condensed analytic method for decision making based on the level of performance or satisfaction. Many researches already have witnessed usefulness of the importance performance analysis, but it also has some drawbacks from the statistical points of view. In this article, some additional techniques dealing the importance performance analysis are introduced and it is shown that these techniques would turn out to be very informative. The importance performance analysis uses the arithmetic average as the main statistic, but by the use of the median, the frequency and the cluster analysis it is shown that the importance performance analysis can be carried out with more crucial information. In addtion to that, it is demonstrated that the combination of the analytic hierarchy process and importance performance analysis could enable more reliable decision making.