• Asia pacific journal of information systems
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• v.13 no.2
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• pp.23-46
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• 2003

This paper proposes an analysis methodology that enables the establishment of improved customer satisfaction via decision support system using customer satisfaction index data and customer database of a company. The proposed methodology establishes rational future goal of a company by applying DEA, finds potential customers which correspond to demographic features of the previous target group, and improve quality factors which distinguish the quality-satisfaction-group from the quality-dissatisfaction-group through the use of machine learning tools, SOM and C4.5. Finally, we illustrate the effectiveness of our research methodology using actual data of a camera company.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.139-144
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• 2013

This paper is an exploratory study to improve customer satisfaction survey for resolving practical problems. It is natural phenomenon that, as the level of customer satisfaction index increases, the ratio of satisfied customers increases too. However, the effectiveness of practical application of customer satisfaction survey for improvement of customer satisfaction decreases due to its structural limitation on its data analysis system. In order to cope with these problems, we compares the three satisfied customer reclassification methods such as attribute complex scores, satisfaction/dissatisfaction dimension and latent class analysis models. The case study results show that satisfied customer reclassification methods have merits and demerits and are expected to play the role as the groundwork for the revitalization of customer satisfaction survey as well as improving customer satisfaction management.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.5 s.164
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• pp.765-776
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• 2007

Customer expectations and requirements for products play an important role in product planning for companies and decision making process for the consumer. These expectations are expressed by product qualities that consumers consider important when they purchase. Therefore, to identify quality elements that reflect consumer requirements would be a useful guide for companies. The purposes of this study are to find out quality factors of apparel product, to identify apparel product quality elements using Kano's theory, to find attributes of product which improvement are required. Women over 20 years-old from metropolitan areas in South Korea participated in the study and a quota sampling method was used. A questionnaire was arranged with four separate subject sections, importance of quality, Kano's questionnaires, and demographics. Data from 525 questionnaires were used for the statistical analysis. The results were as follows: Six dimensions of product quality(i.e., usefulness, performance, aesthetic, symbol, individuality and appearance) were identified. According to Kano's quality elements, performance was categorized into must-be quality which could lead to product dissatisfaction. Usefulness and appearance were categorized into one-dimensional quality which lead to both satisfaction and dissatisfaction. Aesthetic, symbol, and individuality was categorized into attractive quality which could lead to satisfaction. Findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in the product development process.

• Fashion & Textile Research Journal
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• v.18 no.1
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• pp.103-112
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• 2016

This research was designed to figure out the perception and attitude of university students toward urban outdoor wear and to provide the guidelines for product quality improvement using Kano model. A total of 270 responses were analyzed by SPSS 20.0 through frequency and factor analysis. Respondents' levels for outdoor activity & outdoor products possession being still low, steady growth in urban outdoor wear market is expected. A total of eight quality factors were identified through factor analysis; suitability, production quality, functionality, ease of care, fabric performance, portability, fashionability, and symbolism. Based on Kano model, quality factors of urban outdoor wear were categorized into three groups: one-dimensional; indifferent; and must-be quality factor. It was found that consumers were satisfied with urban outdoor wear only when it meets the needs for suitability for body types and ease of care, meaning that manufactures should be cautious not to lose these features. Being must-be quality factor, production quality(form stability, quality of subsidiary materials), and fabric performance such as colorfastness should be basically satisfied. The relative importance of each quality feature on satisfaction/dissatisfaction was investigated using CSC(customer satisfaction coefficient). Based on the CSC, every item was classified again. Attractive quality features with large CSC were shown in suitability factor. Must-be quality features with small CSC were mainly shown in functionality and fabric performance factors. These findings imply that manufactures of urban outdoor wear should not only maintain the production quality but also focus on suitability features to differentiate their product with previous products.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.386-394
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• 2011

Recently it is difficult to draw an improvement for customer satisfaction because the ratio of satisfied customers increases in customer satisfaction survey. In addition, the effectiveness of practical application of customer satisfaction survey decreases due to its constitution limitation on its data analysis. In order to solve these problems, it is necessary to develop a novel research to identify the strategy meanings and find dissatisfied factors of satisfied customers using the satisfied customers' reclassification. This study focuses on the satisfied customer segmentation based on Latent Class Analysis (LCA). The case study with high-speed internet service customers show that the satisfied customers are divided into three subgroups using LCA and we draw meaning results such as satisfaction and dissatisfaction factors through analyzing each group. This study is expected to play the role as the groundwork for the revitalization of customer satisfaction survey as well as improving customer satisfaction management.

• Journal of the Korea Safety Management & Science
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• v.19 no.1
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• pp.157-167
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• 2017

The two-way quality theory has been widely used as a method for classifying quality attributes for several decades. In particular, the Kano model that classifies attributes into not just conventional one-dimensional but must-be and attractive has gained popularity due to its applicability and ease of use. However, the wordings of the five alternatives in the Kano's questionnaire has been criticised for unclear meanings. This study proposes a new two-way model to classify attributes using 5-point Likert scale alternatives. For this, the current paper investigated a case of TV sets to examine how the proposed model works in comparison with the Kano model. The application results of the proposed model are different from the original one. The two-way model classifies quality attributes in more detail such as the "one-dimensional with an attractive tendency" attribute, which has a greater influence on satisfaction than dissatisfaction, the opposite "one-dimensional with a must-be tendency" attribute, and "highly one-dimensional" and "less one-dimensional" attributes. In this study, a potential satisfaction coefficient (PSC), a potential dissatisfaction coefficient (PDC), and an average potential coefficient (APC) to manage quality attributes are proposed and discussed for their utilization.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.11-19
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• 2017

The objective of this research was to identify the factors that affects the customer's satisfaction and dissatisfaction of theme parks. This research focused on Sunway Lagoon. The reason Sunway Lagoon was selected was because of the vast number of visitors in Sunway Lagoon for the last few years. It enables the researchers to acquire sufficient amount of information to conduct a research. The factors which affects the customers' satisfaction are the behavior of the generation Y; service experience evaluation, perceived price, emotions, and servicescape. The limitation of this research was inadequate time to perform in-depth investigation on the research. The research study implemented qualitative research, thus the interview was used as a data collection. Since Sunway Lagoon was selected as the research setting, the face-to-face interview with 10 participants was conducted in the setting. This research is vital because it enables the organizations to determine factors that influence the customer's satisfaction and future behavioral intentions. As a result, organizations are able to achieve higher levels of customer satisfaction as well as promoting customer loyalty.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.7-15
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• 2012

Recently, 'Social Commerce' has shown such a rapid growth along with the development of social media such as 'Twitter' and 'Facebook.' Yet, with the quantitative growth, some problems regarding consumer dissatisfaction has constantly occurred. It is essential for the enterprises to study and reflect a customer satisfaction about goods and service they provide regarding the characteristic of the social commerce scientifically and actively. So, this study measures service quality of social commerce market using SERVQUAL model which was established by Parasuraman (1985). The impact on customer satisfaction was analysed using multiple regression analysis. As a result of the analysis, we found that the tangibility and empathy are important factors for service quality in the social commerce market.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.4_1
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• pp.759-769
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• 2024

The Kano model, a two-dimensional quality theory, is widely used as a useful tool for measuring potential customer requirements by utilizing the concept of the Potential Customer Satisfaction Coefficient (PCSC). There is growing evidence that the PCSC, comprising the Potential Satisfaction Coefficient (PSC) and Potential Dissatisfaction Coefficient (PDC) and utilizing Kano's four quality dimensions (A, O, M, and I), can be particularly useful in determining the relative importance of quality characteristics in IPA. Despite prior studies utilizing the PCSC concept for characterizing importance, attempts to determine the relative significance among quality dimensions have been relatively scarce. This study aims to use PCSC and IPA to demonstrate which quality dimension is more significant than the others. The author analysed 32 Kano related articles, encompassing 34 cases, using IPA. The results indicate that the proposed equations are valid for assessing characteristic importance, with O or M is perceived as more important than A or I.

• Journal of the Korean Dietetic Association
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• v.13 no.4
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• pp.331-344
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• 2007

This study was performed to improve the hospital food service in quality and customer satisfaction by using 6-sigma strategy which was processed by DMAIC methods. The research procedure was as follows; analyzing the main causes of customer dissatisfaction of food service by using numerical method, and then finding out the standardized problem solving methods, and finally reforming food service process. The effectiveness of 6-sigma activity was measured by ‘food service quality index’, ‘customer satisfaction index’ and ‘total food service satisfaction index’. Food service quality index was calculated by adding grade of soup temperature, food service, delivery time, and setting accuracy. Statistical data analyses were completed by using the Minitab Ver. 14. By performing 6 sigma activity, food service quality index was increased from 67 to 79 points (p<0.05) and customer satisfaction index also rise from 73 to 79points (p<0.05). Satisfaction of meals’ taste, diverse menu, food setting accuracy, remove of food service, overall food service were significantly improved(p<0.05). The results of capability analysis in food service quality index, customer satisfaction index, and total food service satisfaction index were improved 2.11$\sigma$ to 2.49$\sigma$, 1.88$\sigma$ to 2.43$\sigma$, and 2.04$\sigma$ to 2.47$\sigma$ respectively (p<0.05). Therefore this study showed that subjective food service improving process could be measured by objective numerical value which might be used for financial value in hospital management.