• Title/Summary/Keyword: attribute level

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Impact of Medical Service Quality by Attribute on Overall Satisfaction -Focused on Out-patient and In-patient in High-level general Hospital- (의료서비스 속성에 따른 품질이 전체만족도에 미치는 영향 -일개 상급종합병원의 외래 및 입원환자를 중심으로-)

  • Kim, Jung-Hee;Ji, Kyung-Ja;Park, Chun-Man
    • Korea Journal of Hospital Management
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    • v.18 no.1
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    • pp.18-41
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    • 2013
  • This study was aimed to identify the current status of medical service quality of medical institutes; propose improvements; and find out the impact of medical service quality by its attribute on overall customer satisfaction. The research was conducted on the out-patients and in-patients in a high-level general hospital located in A city. To examine the research, the IPA was utilized to identify the priority requirements for improving the medical service quality. The study also applied an extended theory to the analysis on mismatch between the level of satisfaction and importance recognized by the clients, to examine the impact of the above mentioned factors on the overall satisfaction and intention to revisit and recommend the hospital. For out-patients, the result showed that "hospital hygiene" had a positive and negative impact on the clients' intention to revisit the hospital in priority improvements. In terms of the sustainable improvements, "doctor's skill" had a negative impact on the overall service satisfaction, whereas "state-of-the-art facility" and "nurse's instruction" had a positive impact on the intention to revisit the hospital. In long-term improvements,"complaint remedy" had a positive impact on the intention to recommend the hospital but there were no relevant factors in excessive investment. On the other hand, for in-patients, the result demonstrated that there were no relevant factors in priority improvements and sustainable improvements. The factor of"service procedure speed"had a positive as well as negative impact on the intention to revisit the hospital. In excessive investment,"nurse's empathy"had a positive impact on the intention to recommend the hospital.

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A Comparison of Consumer Behaviors in China and Taiwan

  • Yang, Ching-Chow
    • International Journal of Quality Innovation
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    • v.3 no.2
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    • pp.183-198
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    • 2002
  • The purpose of this research is mainly to make an analysis and comparison of the purchasing behaviors of consumers in Mainland China and Taiwan. We precede this research with a questionnaire survey. In Mainland China, we targeted consumers of 10 department stores of the Parkson Plaza Co., Ltd. that are located in 10 different cities. In Taiwan, we selected 3 department stores of the Far Eastern Department Stores in 3 cities. The results of this analysis indicate the importance of quality attributes to the consumers for both Mainland China and Taiwan, albeit with some differentiations. The consumers in China are more focused on the merchandise for example as well as imitation, quality and price. Contrarily, the consumers in Taiwan are more attentive to service quality and parking Issues. On the level of evaluation of satisfaction, the differences are not so obvious for both sides. For example, the quality attributes of “No imitation products” and “Friendly servers” are ranked as the most satisfactory items for both sides. Generally speaking, the service quality of Taiwan's department stores is very outstanding. There are also some differences in the areas of lesser satisfaction between consumers of China and Taiwan. The consumers in China identified the quality attribute “the designs of merchandising, display and the usage of each floor” as the most dissatisfactory item, while the performance on this quality attribute is well accepted by the consumers of Taiwan's department stores. Another contradiction is that Taiwan's consumers are more concerned about “Parking”; this quality attribute obtained much less attention from the consumers in Mainland China. From the analysis of determinants that will have impacts on the willingness of customers to buy again, we found that the viewpoints of consumers from both sides are quite similar. The two main factors are “quality of merchandise” and “service quality”. However, the consumers in Mainland China care more about “the price of merchandise”; this is less important to the consumers in Taiwan. We may conclude from the importance and satisfaction level of the quality attributes and determinants for return customers that differences are caused mainly by the different management of the department stores and the different living circumstances of people across the straights.

The Effect of Presence and Engagement in HMD(Head Mounted Display) Virtual Reality Advertising on Attitude and Memory (HMD(Head Mounted Display) 가상현실 광고가 현존감과 인게이지먼트 수준에 따라 태도와 기억에 미치는 효과)

  • Han, Kwang-Seok;Cho, Jae-Hyun
    • Journal of the Korea Convergence Society
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    • v.10 no.6
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    • pp.139-146
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    • 2019
  • In this study, we examined how consumers who experience HMD virtual reality advertising differ in their ad attitudes and memory effects according to Presence (cognitive presence, emotional presence, media presence) and engagement level. Particularly, in the case of memory effect, the information that the user memorizes through the advertising is divided into "Attribute-Related Memory (ARM)" and "Global-Related Memory (GRM)" Respectively. First, the attitudes toward HMD based virtual reality ads are positive regardless of the type of presence. Second, in the virtual reality advertising, if the level of engagement is low, ARM that memorizes the information of the product attribute is increased, whereas if the level of engagement is high, the GRM which is the memory of the attitude-based evaluation information about the product is increased appear. Third, if cognitive presence and media presence are low, then ARM is more memorable than GRM.

The Analysis of Students' Mathematics Achievement by Applying Cognitive Diagnostic Model (인지진단모형을 활용한 수학 학업성취 결과 분석 -2011년 국가수준 학업성취도 평가 자료를 중심으로-)

  • Kim, HeeKyoung;Kim, Bumi
    • School Mathematics
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    • v.15 no.2
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    • pp.289-314
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    • 2013
  • Achievement profile by attribute in Korean students' mathematics was analyzed by applying cognitive diagnostic model, which is the newest measurement theory, to 2011 NAEA(National Assessment of Educational Assessment) results. The results are as follows. As the level of school is higher from 6th grade, 9th grade to 11th grade, the percentage of students mastering cognitive attribute 9(expressions using picture, table, graph, formula, symbol, writing, etc) drastically declined from 78%, 35% to 26%. It is necessary to have learning strategies to reinforce their abilities of expressing table, graph, etc. that higher graders in mathematics are more vulnerable to. Next, the property of mastering cognitive attributes according to gender, multi-cultural family was analyzed. In terms of mathematics, the percentage of girls mastering most of the attribute generally is higher than that of boys from 6th grade to 9th grade, however, boys show higher mastery in almost attributes than girls in the 11th grade. Compared to boys, the part where girls have the most trouble is attribute 9 in mathematics(expressions using picture, table, graph, formula, symbol, writing, etc). As international marriage, influx of foreign workers, etc. increase, the number of students from Korea's multi-cultural families is expected to be higher, therefore, identifying the characteristics of their educational achievement is significant in reinforcing Korea's basic achievement. In mathematics, gap of mastery level of attributes between multi-cultural group and ordinary group is more severe in higher grade and the type of multi-cultural group that needs supports for improving achievement most urgently changed in 6th grade, 9th grade and 11th grade respectively. In the 6th and 11th grade, migrant students from North Korea show the lowest level of mastering attributes, however, in the 9th grade, the mastery rate of immigrant students is lowest. Therefore, there is an implication that supporting plans for improving achievement of students from multi-cultural family should establish other strategies based on the characteristics of school level.

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Conjoint analysis with mixed levels of attributes (혼합된 수준들의 속성들을 갖는 컨조인트 분석)

  • Lim, Yong B.;Chung, Jong Hee
    • Journal of Korean Society for Quality Management
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    • v.44 no.4
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    • pp.799-811
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    • 2016
  • Purpose: The conjoint analyst in marketing are interested in detecting whether there exist synergy or antagonistic effects between two attributes. In the cases where attributes have two or three levels, we research on the design of survey questionnaire to estimate all the main effect and as many two factor interaction effects as possible. Methods: We consider the balanced incomplete block (BIB) mixed level factorial design $2^f{\times}3^g$ or fractional factorial design. To reduce the number of questions in a questionnaire, we propose the balanced incomplete block mixed level design with minimum aberration which is generated by implementing proc factex in SAS. Also, we propose using two or three level BIB factorial design instead of mixed level designs by transforming three level attributes into two attributes of two levels and two level attribute into three level attribute by using dummy level technique. Results: We propose three methods for designing survey questionnaire where the block and design generators are found with practical number of questions in a questionnaire. By analyzing all the respondents survey data generated by the simulation study, we find the proper model and do the concepts optimization. Conclusion: The proposed methods of designing survey questionnaires seem to perform well in the sense that the proper model, and then the optimal concept is found in a case study where all the respondents survey data are generated by the simulation study.

A Study on Building Sewerage Data using Dynamic Segmentation Method (Dynamic Segmentation을 이용한 오수 관거 데이터구축에 관한 연구)

  • Park, Jeong-Wo;Yun, Jeong-Mi;Lee, Sung-Ho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.9 no.2
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    • pp.11-19
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    • 2006
  • Sewerage is the system that improves the quality of human life and prevents many disasters such as floods. However the investigators in Korea only have been concerned about the sewer system, so the sewage treatment plant stays in the basic level like mapping. For example, only one attribute can be recognized in the linear object. Because of this limitation, it makes difficult to manage the linear attribute regarding to the sewage pipe plan. And it is impossible to control a partial (point type, line type) attribute changes of the linear object. We will therefore present the applicable method for the attribute changes of the linear object like the sewage pipe plans. For this reason, this paper is designed on the basis of Dynamic Segmentation(DS). DS has the advantage of giving the attribute value to the exact place in the linear object. As a result of using DS, the variety environment changes around the sewage pipes are applied to the building sewerage data. This also makes it possible to get a precise estimation for the maximum dirty water amount.

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Genetic Algorithm Based Attribute Value Taxonomy Generation for Learning Classifiers with Missing Data (유전자 알고리즘 기반의 불완전 데이터 학습을 위한 속성값계층구조의 생성)

  • Joo Jin-U;Yang Ji-Hoon
    • The KIPS Transactions:PartB
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    • v.13B no.2 s.105
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    • pp.133-138
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    • 2006
  • Learning with Attribute Value Taxonomies (AVT) has shown that it is possible to construct accurate, compact and robust classifiers from a partially missing dataset (dataset that contains attribute values specified with different level of precision). Yet, in many cases AVTs are generated from experts or people with specialized knowledge in their domain. Unfortunately these user-provided AVTs can be time-consuming to construct and misguided during the AVT building process. Moreover experts are occasionally unavailable to provide an AVT for a particular domain. Against these backgrounds, this paper introduces an AVT generating method called GA-AVT-Learner, which finds a near optimal AVT with a given training dataset using a genetic algorithm. This paper conducted experiments generating AVTs through GA-AVT-Learner with a variety of real world datasets. We compared these AVTs with other types of AVTs such as HAC-AVTs and user-provided AVTs. Through the experiments we have proved that GA-AVT-Learner provides AVTs that yield more accurate and compact classifiers and improve performance in learning missing data.

The Effect Analysis on the Container Terminal Productivity according to Combination of YT Pooling and Dispatching Rules (이송장비 풀링(Pooling)과 우선순위 규칙(Dispatching rule) 조합에 따른 컨테이너 터미널 생산성 효과분석)

  • Chun, Seoyoung;Yoon, SungWook;Jeong, Sukjae
    • Journal of the Korea Society for Simulation
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    • v.28 no.3
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    • pp.25-40
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    • 2019
  • Today, container terminals are fiercely competing to attract an increasing number of containers. As a way to improve terminal productivity, this study proposes two dispatching rules for yard truck allocation priorities. First, Multi-Attribute Dispatching Rule(MADR) is an allocation method to calculate the weighted sum of multiple factors affecting container terminal productivity and priority them. Especially, the workload of the quay crane was considered one of the factors to reduce the residence time of the ship. Second, Cycling Dispatching Rule(CDR) is the effective way to increase the number of double cycles that directly affect terminal productivity. To identify the effects of combinations of pooling and dispatching, a comparative experiments was performed on 8 scenarios that combined them. A simulation environment has been developed for experiments and the results have demonstrated that the combination of terminal level pooling and Multi-attribute Dispatching could be an excellent combination in KPIs consisting of GCR and delayed departure of ships, etc.

Utilizing Case-based Reasoning for Consumer Choice Prediction based on the Similarity of Compared Alternative Sets

  • SEO, Sang Yun;KIM, Sang Duck;JO, Seong Chan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.2
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    • pp.221-228
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    • 2020
  • This study suggests an alternative to the conventional collaborative filtering method for predicting consumer choice, using case-based reasoning. The algorithm of case-based reasoning determines the similarity between the alternative sets that each subject chooses. Case-based reasoning uses the inverse of the normalized Euclidian distance as a similarity measurement. This normalized distance is calculated by the ratio of difference between each attribute level relative to the maximum range between the lowest and highest level. The alternative case-based reasoning based on similarity predicts a target subject's choice by applying the utility values of the subjects most similar to the target subject to calculate the utility of the profiles that the target subject chooses. This approach assumes that subjects who deliberate in a similar alternative set may have similar preferences for each attribute level in decision making. The result shows the similarity between comparable alternatives the consumers consider buying is a significant factor to predict the consumer choice. Also the interaction effect has a positive influence on the predictive accuracy. This implies the consumers who looked into the same alternatives can probably pick up the same product at the end. The suggested alternative requires fewer predictors than conjoint analysis for predicting customer choices.

The Relationships between Maternal Variables and Children's Social Competence (어머니 관련변인과 아동의 사회적 역량과의 관계)

  • 구순주
    • Journal of the Korean Home Economics Association
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    • v.36 no.1
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    • pp.23-34
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    • 1998
  • The purpose of this study was to investigate the relationships between maternal education level, social support, attribution, mother-child communication and children's social competence. The major findings of this study were as follows; (1) The higher maternal education level and the higher internal attribution were, the more negative mother-child communication was. (2) The higher maternal education level is, the higher perceived social support is, and the more open-mined/positive mother-child communication is, the higher children's initiative, competence and sociability. Also, the more mother attribute children's behavior internally, the lower the children's competence is.

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