• 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 the Korean Society of Clothing and Textiles
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• v.34 no.7
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• pp.1220-1231
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• 2010

This study examined customer misbehaviors in retail settings by identifying behavioral patterns and exploring behavioral backgrounds and consequences from the employee's perspectives. Qualitative data were collected from an individual interview method, and 222 interviews were analyzed. Customer misbehavior was categorized into unethical returns, problem behaviors in service encounters, unreasonable demands, shoplifting/fraud, ill-mannered behaviors, and selfish behaviors. Behavioral backgrounds included dissatisfaction, unreasonable expectations, actively benefiting of service failures, taking advantage of service standards, illegitimate complaints, monetary gains, transferring responsibility, and demanding special treatment. Employees experienced stress facing misbehaving customers with no other choice except to accept misbehaviors and learned misbehaviors as customers themselves. The study further discusses the implications.

• 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.

• Industrial Engineering and Management Systems
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• v.10 no.2
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• pp.140-153
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• 2011

Functional form and dysfunctional form of Kano model are considered as customer need regarding attribute of product. Both functional and dysfunctional forms are: Like, Must-be Neutral, Live-with and Dislike. The answers of customer regarding a product of functional and dysfunctional forms have been applied for selection of customer needs regarding product attribute (Kano evaluation). Filling.up and returning the Questionnaires by the individuals are essential for determining Kano evaluation. But many Questionnaires have not been returned in that case. Moreover, many possible consumers could not get opportunity to fill-up questionnaire. These uncertain or unknown consumers' opinions are also essential for product development. The choices of Kano evaluations have been outlined by: Attractive, One-dimensional, Must-be, Indifferent and Reverse. In this study, choices of evaluation of unknown customer are considered uniform cumulative vector probability (scenario 1). This study is based on the Monte Carlo simulation method, concept of probability and Kano model. This model has also been tested for its soundness and found fairly consistent including existing Kano model (scenario 2) and case survey for headlight of bicycle (scenario 3).

• Journal of Korean Society for Quality Management
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• v.30 no.1
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• pp.1-21
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• 2002

The purpose of this study was to empirically examine the customer oriented quality creation by considering quality elements required by customers in the product design process. The study tried to extract attractive quality elements by using Kano's model. After identifying the elements HOQ(the house of quality) of QFD(quality function deployment) was used to identify the trend of quality elements evaluation. Test for equal means (t-test) was applied to verify the attractive quality elements of adult shoes. It made us find the customer oriented quality elements from the customer needs and latent dissatisfaction. We collected the opinions of experts on shoes and complete the cause and effect diagram and affinity diagram (KJ method). The data of the questionnaire was put to the QFD and the contents of quality elements was identified by brain storming method. We calculated indexes which were the multiplication of weight and marks of quality elements in the cross table of the HOQ by QFD. Then we tested for the equality of means between the indexes and the sum of attractive quality elements. The results for equal means were statistically significant. To create the customer quality the product design should be differentiated between the age groups over attractive quality elements.

• 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.

• 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 Society of Food Culture
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• v.28 no.6
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• pp.631-639
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• 2013

The purpose of this study was to analyze the post-purchase behavior of customers who experienced cognitive dissonance after exposure to a franchise foodservice advertisement. The study adopted cognitive dissonance theory to explain the dissonance resulting from the combination of advertisements and actual product that consumers received. In detail, the research hypothesized that cognitive dissonance will affect consumers' post-purchase behavior as well as their efforts to reduce dissonance. Exactly 274 questionnaires were used in the analysis. The results showed that more than 80% of respondents were influenced by advertisements when purchasing menus, and 50% were unsatisfied when the provided menu "was not the same as the advertisement shown". It was found that advertisement type did not significantly affect either group that experienced dissonance. In terms of satisfaction, however, the former group showed greater dissatisfaction when dissonance occurred (p<.001). Finally, there was a significant difference between the two groups regarding post-purchase behavior (p<.05). Customers with dissonance were likely to 'express dissatisfaction directly to the store', 'leave negative reviews', and 'participate in negative word-of-mouth'. Thus, the results revealed that cognitive dissonance could significantly influence customer satisfaction and consequently lead to negative post-purchasing behaviors.

• 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.