• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.439-444
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• 2016

The definition of quality continues to evolve. In recent years, there has been growing interest in how to satisfy customers' potential needs with an emphasis on customer-oriented quality. Two-dimensional quality proposed by Kano provides a useful framework for discovering quality attributes critical to customer satisfaction and it is widely employed for product and service development. In Kano model, quality attributes are classified into attractive, one-dimensional, must-be, indifferent, and reverse ones. Finding attractive elements among them is important for achieving customer satisfaction effectively. However, Kano's classification method has limitations in dealing with customers' ambiguous and complex ideas. The customer response itself includes uncertainty and incompleteness. To overcome this problem, fuzzy methods are incorporated with Kano's classification in this paper. According to numerical comparisons, it is shown that the fuzzy Kano method is useful for accommodating various response of customer and is helpful to identify potential needs.

• 한국지구물리탐사학회:학술대회논문집
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• 2009.05a
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• pp.35-45
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• 2009

Reservoir Characterization (RC) using 3-D seismic attributes analysis can provide properties of the oil sand reservoirs, beyond seismic resolution. For example, distributions and temporal bed thicknesses of reservoirs could be characterized by Spectral Decomposition (SD) and additional seismic attributes such as wavelet classification. To extract physical properties of the reservoirs, we applied 3-D seismic attributes analysis to the oil sand reservoirs in McMurray formation, in BlackGold Oilsands Lease, Alberta Canada. Because of high viscosity of the bitumen, Enhanced Oil Recovery (EOR) technology will be necessarily applied to produce the bitumen in a steam chamber generated by Steam Assisted Gravity Drainage (SAGD). To optimize the application of SAGD, it is critical to identify the distributions and thicknesses of the channel sand reservoirs and shale barriers in the promising areas. By 3-D seismic attributes analysis, we could understand the expected paleo-channel and characteristics of the reservoirs. However, further seismic analysis (e.g., elastic impedance inversion and AVO inversion) as well as geological interpretations are still required to improve the resolution and quality of RC.

• Journal of the Korean Society of Food Culture
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• v.23 no.5
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• pp.605-615
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• 2008

The principal objective of this study was to categorize service attributes on the basis of the asymmetric and non-linear relationship existing between service attributes and customer satisfaction. Researchers generally assume that service attribute performances and customer satisfaction are both symmetrical and linear. That is to say, improvements in attribute performance will inevitably result in increased customer satisfaction. However, this is not always the case. Certain attributes have been shown not to create satisfaction even when improved, and others do not create dissatisfaction even when their performance ratings become negative. Understanding this relationship is crucial not only to researchers, but also to service managers. Service managers can arrange their priorities with regard to which attributes must be improved or promoted first, in an environment of limited technical, financial, and human resources. Many studies into this asymmetric and non-linear relationship have recently been conducted, beginning with Herzberg's motivation-hygiene theory (1976) and the disconfirmation theory, which was eventually developed into Kano's model (1984). This study attempted to determine the impact level of service attributes on incidents of satisfaction or dissatisfaction. It used 30 service attributes generated by Park (2008) in the CIT research into family restaurants. The data were collected from 600 participants, 300 incidences of satisfaction and 300 incidents of dissatisfaction, via an online survey. The t-test was used to confirm the difference between the satisfaction group's and dissatisfaction group's attributes. 11 attributes were found to be significant at a level of p>0.05. This indicates that the 11 attributes exerted different impacts on satisfaction and dissatisfaction, which confirmed the asymmetric and non-linear relationship. 14 attributes were categorized into the core service, 1 attribute into the quality service, 7 attributes into the basic service, and 8 attributes into the neutral service. Strategic customer service management was recommended for the 'A' family restaurant as an example, on the basis of the asymmetric and non-linear relationship and the characteristics of the four service factors.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.2
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• pp.155-168
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• 1992

The purposes of this study were: (1) to identify the image dimensions of apparel stores according to how the consumers rate the importance of store attributes; (2) to classify the apparel stores in Seoul, Korea according to consumers' perception of the image attributes of their preferred store; (3) to develop a positioning map of the apparel stores according to their salient image dimensions; and (4) to classify the female adults in Seoul according to the criteria of their preferred store and to describe the characteristics of target customers according to storetype. 'A questionnaire was developed to measure store patronage, perceived importance of the store image attributes, perception of the store image attributes for the respondent's most frequently patronized store, and demographic information. Data from 520 female adults living in Seoul were analyzed. The results were as follows; 1. The image dimensions of fashion stores were product quality, shopping convenience, location, promotion, atmosphere, product information, design characteristics and price. 2. The apparel stores in Seoul were classified into five groups by the perception of store image, which were labeled as national chain store, designer store, specialty store, wholesale store and independent store, according to their discriminant characteristics. 3. According to the positioning map, product quality and location convenience were identified as the most important apparel store type patronage criteria. 4. The female adult group divided by store preference indicated significant differences in the perceived importance of store attributes. Each group showed multi-store patronage.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.2
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• pp.183-190
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• 2007

We present a new decision tree classification algorithm using rough set theory that can induce classification rules, the construction of which is based on core attributes and relationship between objects. Although decision trees have been widely used in machine learning and artificial intelligence, little research has focused on improving classification quality. We propose a new decision tree construction algorithm that can be simplified and provides an improved classification quality. We also compare the new algorithm with the ID3 algorithm in terms of the number of rules.

• Korea Journal of Hospital Management
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• v.19 no.2
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• pp.73-88
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• 2014

Objective: This research investigates how to increase the quality of medical service and supply high quality of medical service to patients. By using Kano Model theory we examines what medical service attributes the hospital would be conducted preferentially for patient's satisfaction and provides informations of management strategies for hospitals. Method: To study patients' perception of medical service quality, first we performed pilot test to derive 30 medical service attributes. With 30 medical service attributes, we conducted survey of 300 subjects who have experienced medical services in 6 months. To examine patients' conception of medical services, a modified Kano's questionnaire using 5 scale is applied. Finally we calculated SI(Satisfaction index) and DI(Dissatisfaction index) and PCSI(Potential Customer Satisfaction Improvement) index with Kano's Model analysis results. Key Findings: We found that the quality of medical service categorized in 15 one-dimensional elements, 9 must-be elements and 6 indifferent elements. Moreover the attribute of gives prompt services and have patient's best interest at heart scored the highest SI, whereas the attributes of accurate and precise medical service, exact records, enough explanation and polite attitudes are the highest score of DI. And also good explanation of the bill scored the highest PCSI. In this study findings indicate that while medical service providers try to increase patients' satisfaction by improving hospital's environments, patients' perception of trust and good interpersonal relationships with medical service providers have strong and positive impact on patients' satisfaction.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.33-40
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• 2020

In order to satisfy customers, it is important to identify the quality elements that affect customers' satisfaction. The Kano model has been widely used in identifying multi-dimensional quality attributes in this purpose. However, the model suffers from various shortcomings and limitations, especially those related to survey practices such as the data amount, reply attitude and cost. In this research, a model based on the text sentiment analysis is proposed, which aims to substitute the survey-based data gathering process of Kano models with sentiment analysis. In this model, from the set of opinion text, quality elements for the research are extracted using the morpheme analysis. The opinions' polarity attributes are evaluated using text sentiment analysis, and those polarity text items are transformed into equivalent Kano survey questions. Replies for the transformed survey questions are generated based on the total score of the original data. Then, the question-reply set is analyzed using both the original Kano evaluation method and the satisfaction index method. The proposed research model has been tested using a large amount of data of public IT service project evaluations. The result shows that it can replace the existing practice and it promises advantages in terms of quality and cost of data gathering. The authors hope that the proposed model of this research may serve as a new quality analysis model for a wide range of areas.

• Information Systems Review
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• v.13 no.3
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• pp.47-63
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• 2011

The rapid spread of the Smartphone usage among the public has brought great changes to the overall society. Aiming to gain their competitiveness with better Smartphone service quality, manufacturers are endeavoring to keep the pace with the popularization of mobile internet and social changes. Researches on the Smartphone service quality are actively undergoing in the academic circles as well. A great many of studies ranging from the past mobile services to the recent Smartphone services have thus far focused on proposing the systematic arrangement and the typology in terms of service quality, which in turn have provided the theoretical foundation and broaden the scope of comprehension. Besides technical aspects of the mobile and Smartphone services, the earlier studies in the behavioral domain, however, only took into considerations the positive aspect of users' satisfaction with the quality of services via new media devices like Smartphone. The rationale behind this mainly comes from the assumption that as the opposite definition of satisfaction is dissatisfaction, the services are not adopted if dissatisfied. However, it is not always true to conclude that service users are satisfied when the service is functionally fulfilled and dissatisfied otherwise. That is because there exist some cases that quality attributes provide satisfaction when achieved fully, but do not cause dissatisfaction when not fulfilled. And there also exist other cases that quality attributes are taken for granted when fulfilled but result in dissatisfaction when not fulfilled. To account this multi-dimensional feature of service quality attributes in relation with user satisfaction, this study took advantage of Kano model following the identification of a set of the Smartphone service quality attributes by investigating the previous studies. Categorizing of the service quality elements reflecting the customers' needs would perhaps help manage Smartphone service quality, enabling business managers to identify which quality attributes more emphasis to put on and what strategy to establish for the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.6
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• pp.949-964
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• 2021

Accumulation of high-quality data is crucial for AI learning. The goal of using AI in fashion service is to propose of a creative, personalized solution that is close to the know-how of a human operator. These customized solutions require an understanding of fashion products and emotions. Therefore, it is necessary to accumulate data on the attributes of fashion products and fashion emotion. The first step for accumulating fashion data is to standardize the attribute with coherent system. The purpose of this study is to propose a fashion emotional classification system. For this, images of fashion products were collected, and metadata was obtained by allowing consumers to describe their emotions about fashion images freely. An emotional classification system with a hierarchical structure, was then constructed by performing frequency and CONCOR analyses on metadata. A final classification system was proposed by supplementing attribute values with reference to findings from previous studies and SNS data.

• Journal of Information Technology Services
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• v.15 no.2
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• pp.21-33
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• 2016

Recently, T-Commerce is emerging to provide new services, with the proliferation of digital broadcasting services. However, T-Commerce market and TV home shopping market are being classified as a legal policy on other markets, such as regulated in the service of live broadcasts. The factor that has inhibited activation T-Commerce related to the lack of appropriate institutions and legal systems in the market, despite the environment with the digital broadcasting service is being spread. We were performed conjoint analysis. For this analysis, we select attributes as a quality attractive factors that significantly affects the satisfaction of TV based shopping customers through previous studies. The results showed that the TV-based shopping customers are important to think 'Responsive', 'Playfulness', 'Live broadcast', 'Convenience' and 'Bidirectional' in the order. The 'Responsive' and 'Live broadcast' of such attributes are served as possible only in TV home shopping, because these attributes don't service due to legal and institutional regulations in T-commerce market. The cluster analysis result also showed that TV shopping consumers are more important to think 'Responsive', 'Playfulness', 'Live broadcast' than 'Convenience' and 'Bidirectional', except one of the classification clusters. If real-time broadcast service is impossible because of the legal and institutional regulations, it seems to require the expansion of the services linked the terrestrial broadcasting to the activating T-Commerce market.