• 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.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.1-10
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• 2024

For the purpose of predicting credit card customer churn accurately through data analysis, a model can be constructed with various machine learning algorithms, including decision tree. And feature importance has been utilized in selecting better input features that can improve performance of data analysis models for several application areas. In this paper, a method of utilizing feature importance calculated from the MDI method and its effects are investigated in the credit card customer churn prediction problem with classification trees. Compared with several random feature selections from case data, a set of input features selected from higher value of feature importance shows higher predictive power. It can be an efficient method for classifying and choosing input features necessary for improving prediction performance. The method organized in this paper can be an alternative to the selection of input features using feature importance in composing and using classification trees, including credit card customer churn prediction.

• 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.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.397-403
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• 2014

The objective of this study is to provide improved methodology based on the IPA method. One case studies are solved by the proposed method. this study present the method that give value to use SN(Signal-to-Noise) ratio in IPA. A case study of lecture satisfaction are solved by the proposed method and the existing method. Also, the result is compared with the existing method using Mean and the proposed method using SN ratio.

• The Korean Journal of Health Service Management
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• v.11 no.1
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• pp.43-53
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• 2017

Objectives : In this paper, we proposed a method to comprehensively examine the roles of medical insurance review nurses' by analyses of task importance and task performance. Methods : For the analyses, we used the responsesof 268 nurses who completed a questionnaire for members of the Medical Insurance Review Nurses Association in 2015, and analyzed task importance and task performance using the IPA method and the standard task guide. Results : There were significant differences in task importance and task performance according to task position. In the category of 'Keep up the good work,' 'Calculate benefit standard' was indicated only in administrative positions, and in the category of 'Concentrate here,' 'Manage hospital resources' and 'Process after appeal results' was demonstrated only in general positions. There were differences in the 'Low priority' and 'Possible overkill' categories by task performance according to task position. Conclusions : Our results indicate the necessity of a new education system and task reassignment according to task importance and task performance as perceived by medical insurance review nurses.

• Journal of the Korean Institute of Landscape Architecture
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• v.23 no.2
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• pp.137-147
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• 1995

This research is a preliminary study to improve the criteria of youth facilities which regulated in Youth Fundamental Act, with the method of Importance-Performance Analysis on youth facilities management. Evaluation inquiry had been made, and were collected from the youth facility managers who attended The Korean Youth Facility Managers' Seminar held on 24th Nov. 1994 at Pakdaljae Youth Center. The results are as follows; 1. Keep Up the Good Work : indoor facilities in community area, and outdoor facilities and accommodations in natural area are resulted in high in Importance and. Performance. They need to be operated constantly. 2. Concentrate Here : Counselling room, hobby room and outdoor meeting places in community area, and care room in natural area are perceived high in Importance but low in Performance. They need to provide proper leaders and equipment. 3. Low Priority : Care room, forest and outdoor facilities in community area, arid forest and folk playground in natural area are low in both Importance and Performance. So, it is considered that they are not necessary ones in both areas, but some outdoor facilities are so essential in natural area that they need to be provided properly. 4 Possible Overkill : Courtyard and library in community area, and outdoor facilities in natural area are low in Importance but high in Performance. They need to improve their importance through the development of applicable activity programs.

• Journal of the Korean Society of Safety
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• v.12 no.1
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• pp.113-121
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• 1997

Human reliability attempts to make precise quantitative analyses and predictions of the performance of human-machine(or product) systems. In order to yield more precise human error analysis, precise human error probabilities(HEPs) must be used in the analysis. However, because human behavior is influenced by factors that are called performance shaping factors(PSFs), the effects of PSFs must be considered to obtain precise HEPs, These are called basic HEPs or situation-specific HEPs. This paper presents a theoretical method for obtaining basic HEPs (i.e. , considering PSFs) in quantitative human error analysis. In this method, the weight which characterizes the degree of importance of several PSFs is obtained by the analytic hierarchy process. The quality scores of PSFs in the task situation are obtained by percentile concept. These scores are used in conjunction with the relative Importance weights of PSFs to compute the composite quality percentile score of PSFs in the task situation. Then, a new mapping method of the composite quality percentile score of PSFs into a situation-specific basic HEP is proposed with a numerical example.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.3
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• pp.663-670
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• 2015

In most public transportation related master plans, decisions for investment priorities are initially made by facilities with lower installation rates or lower satisfaction (performance) levels. In general, the decisions are made without conducting importance factor analysis. In this study, a combined method of importance-performance analysis (IPA) model for bus users related in travel time is proposed by using Structural Equation Model (SEM). The results of the IPA for Metropolitan users show that the categories need improvement are number of bus stops, number of intersections, headways, waiting times for boarding and traffic signal operations in order. On the other hand, Non-Metropolitan uses show that the categories need improvement are traffic signal operations, waiting times for boarding, headways, bus exclusive lanes and number of intersections that is in reverse order to Metropolitan users.

• Korea Journal of Hospital Management
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• v.23 no.1
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• pp.28-40
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• 2018

Purpose: The purpose is to understand the perception of medical providers at tertiary hospitals in Seoul on the importance-performance of the reform on a doctor-designation system, and to provide the policy suggestion of the perception on such a system. Methodology: To achieve the purpose, this study utilized structured survey tools to conduct a questionnaire survey of nursing, administrative and medical technology professionals at six tertiary hospitals in Seoul. An importance-performance analysis was utilized for an analysis that showed the perception of the reform on a doctor-designation system. Findings: First, it was identified that those medical providers had the highest perception of the importance about the performance of the reform on a doctor-designation system. Second, according to the result of action grid of an importance-performance analysis (IPA), it can be identified that in the 2nd stage of 'Concentrate here' included are the items as to design and effect of medical care quality and subsidies & patient infection and safety and control fees, effect of income security of the method for compensating for loss established by the government and offering sufficient information on general medical services and doctor-designation medical services. In the 1st stage of 'Keep up the Good Work', and the 2nd stage of 'Concentrate here' included is the item as to the performance of patients of the reform on a doctor designation system. Practical Implications: There could be identified the effect of the reform bill on the perception of medical providers. It is expected that a better environment would be provided for patients to use a hospital and for medical providers to offer medical services, if the goverment makes efforts to improve methods for compensating for loss and continuous monitoring of the performance of patients.

• Journal of Korean Society of Rural Planning
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• v.19 no.4
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• pp.105-113
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• 2013

This study aimed to provide basic data for the national park management by analysing visitors' behavior and satisfaction determinants by importance-performance analysis and estimated regression analysis through post-occupancy evaluation questionnaire method to the Gyeongju National Park visitors. It was found that facilities and use management according to place and use group, the diversity of visit program, high quality of guidance and hospitality of staffs and conservation of historic and landscape resources for Gyeongju National Park were necessary as the results of behavior analysis, importance-performance analysis. The historic landscape resources, hospitality of staffs, visit road and safety facilities, commercial facilities were important determinants of users' satisfaction as the results of regression analysis. It suggested the characteristics of Gyeongju National Park and these factors were the most important factors for the improved management.