• International journal of advanced smart convergence
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• v.9 no.4
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• pp.167-172
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• 2020

In the 4th industrial revolution, there are many projects for diverse software applications of smart city environments. Most of the stakeholders focus on considering software quality for their developed software. Nobody doesn't guarantee requirement satisfaction after complete development. At this time, we can only work on user acceptance testing for requirement satisfaction on frequently changing requirements. Why keeps the requirement traceability? This traceability is to identify risks related to requirements, to assure correct software development based on customer requirements. To solve this, we are researching how to implement requirement traceability across each artifact's relationship to each activity of a whole development lifecycle.

• Korean Journal of Construction Engineering and Management
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• v.10 no.3
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• pp.111-121
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• 2009

Value Engineering(VE) at design phase(so-called Design-VE) becomes quite a compulsory solution for better customer satisfaction, cost reduction, higher product performance, and, eventually, insured predominance in the competition. Unlike intended, however, the customer requirement on Design-VE has not been fully reflected in reality. Furthermore, the Design-VE occasionally does not progress in regular sequence; Preparation for measuring customer requirement - Function analysis - Idea creation. Therefore, this study suggests Axiomatic Design Theory to be adopted in Design-VE process expecting that the functions required by the customer could systematically reflected in VE process. Post-occupancy Evaluation(POE) is also represented as a method to measure and arrange the customer requirements. The customer satisfaction Design-VE process creates ideas defining functions in more detailed, to reflect the concrete user requirement. This approach helps function analysis and idea creation linked closely because function and idea are developed zigzag (i.e. function - idea - function...) in being decomposed into level down. The application of the process proposed by this study will be helpful to improve the customer requirement measurement and clarify a link between functions and ideas.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.123-126
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• 2005

We develop the evaluation method of functional requirements for excavator design. The functional requirement of the product can be deduced from voice of customer. QFD method is used in order to convert customer requirement to functional requirement. The measure of information index is used to evaluate quantitatively the product quality characteristics. The correlation score between customer requirements and functional requirements and benchmarking score of competitors are basic data for the measure of information.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.12
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• pp.537-542
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• 2015

Project success is depend on requirement analysis for in the software engineering. Requirements error have a effect in the whole system. As a result, the customer satisfaction will deteriorate. Therefore, we are need to tool that stakeholder's opinion exchange and modify for a accurate analysis in the requirement phase. In this paper, we are design that tool of the stakeholder's opinion exchange.

• Proceedings of the Safety Management and Science Conference
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• 2008.11a
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• pp.491-503
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• 2008

As customer needs become diversified, there are many efforts to develop creative ideas on the products to satisfy the customer requirement. Also it is very important to classify the customer requirement to the product's quality. According to the previous study, the idea of the products by collecting opinions and brainstorming is mainly studied in new product development. To create the attractive quality for the product, Kano model has commonly been used. However, the brainstorming in the stage of create ideas has the problem of lower linkage between purpose and idea and lower quality of new idea. Therefore, the paper suggests a way to invent more creative ideas by comparing forced connection method to the brainstorming that is applied to the Kano model.

• Journal of Industrial Convergence
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• v.18 no.2
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• pp.95-100
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• 2020

Among the customer-oriented data used to comprehend the customer, the user review data has received much attention as it provides insights into customer opinion in a detailed and large-scale manner; many customers have come to rely upon and trust the user reviews. Many application developers are cognizant of the importance of user reviews, so they monitor and respond to these reviews. However, due to the absence of a systematic method, developers have been investing their time and money without clear correlation to the customer satisfaction. Therefore, this paper suggests a systematic method to select user reviews from the application market using the Kano Model that deals with customer satisfaction and service quality, thereby maximizing the customer satisfaction under the given time period and budget. This method is constructed in the following phases: the user review collection and requirement elicitation phase in which the developers collect user reviews from the application market and elicit requirements, the Kano Model application and selection phase in which the Kano Model is applied to the elicited requirements and selection occurs based on the quality type, and the stakeholder review and redefinition phase in which relevant personnel gather to review and redefine requirements from an internal perspective.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.291-309
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• 2010

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements(must-be, one-dimensional, attractive requirement) which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. In this paper, potential customer satisfaction improvement(PCSI) index was developed using Kano model and CS coefficient. The PCSI index represents how much a product feature can increase the degree of customer satisfaction when the product feature is fully fulfilled. In order to explain the meaning of PCSI index, a case study for cellular phones is done. It is also discussed how to use the index strategically.

• Journal of Korean Society for Quality Management
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• v.38 no.2
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• pp.248-260
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• 2010

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements (;must-be, one-dimensional, attractive requirement) which influence customer satisfaction in different ways when met. Timko has developed customer satisfaction(CS) coefficient based on Kano model. The CS coefficient is indicative of how strongly a product feature may influence satisfaction. In this paper, potential customer satisfaction improvement(PCSI) index was proposed using Kano model and CS coefficient. The PCSI index represents how much a product feature can increase the degree of customer satisfaction when the product feature is fully fulfilled. In order to explain the meaning of PCSI index, a case study for cellular phones is done. It is also discussed how to use the index strategically.

• Journal of Korean Institute of Industrial Engineers
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• v.32 no.2
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• pp.153-162
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• 2006

Customer satisfaction is an ever-growing concern of management throughout the world. To find the way to increase customer satisfaction, we must understand customer requirements. Kano distinguishes between three types of product requirements (must-be, one-dimensional, attractive requirement) which influence customer satisfaction in different ways when met. In this paper, potential customer satisfaction improvement (PCSI) index was developed using Kano model and CS coefficient. Timko has developed customer satisfaction (CS) coefficient based on Kano model. The PCSI index represents how much a service feature can increase the degree of customer satisfaction when the service feature is fully fulfilled. In order to explain the meaning of PCSI index, a case syudy of a Family Restaurant is done. It is also discussed how to use the index strategically.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.8-13
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• 2006

In this paper, we try to find success factor to satisfy Female Customer of a Family Restaurant We survey Female Customers Requirement and make a Questionnaire based on Female Customer by interview and internet Homepage. We find Potential customer satisfying factor by using Kano Analysis and Timko's CS coefficient and Potential Customer Satisfactionv improvement Index(PCSI) which is suggested by Leem represents how much a service feature can increase the degree of customer satisfaction when the service feature is fully fulfilled. We also discuss how to use this result, we hope our result to apply customer satisfying many fields not only Family Restaurant.