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Asks which product qualities are decisive for the satisfaction of the customer and which features merely prevent dissatisfaction. Proposes Kano’s model of customer satisfaction for answering these questions and for drawing conclusions for the management of product development. In his model, Kano distinguishes between three types of product requirement which influence customer satisfaction in different ways when met: must‐be requirements, which are basic criteria of a product ‐ if these requirements are not fulfilled, the customer will be extremely dissatisfied; one‐dimensional requirements, where customer satisfaction is proportional to the level of fulfillment, the higher the customer’s satisfaction and vice versa; and attractive requirements, which are the product criteria which have the greatest influence on how satisfied a customer will be with a given product. Attractive requirements are neither explicitly expressed nor expected by the customer.

The purpose of this paper is to employ quality function deployment (QFD) method for translating internal customer needs and expectations into appropriate service specifications to perform existing process assessments in relation to quality characteristics for increasing internal customer satisfaction.

The integration of SERVQUAL into QFD has been used to set the success factors to improve quality in the textile industry. One of the largest textile companies in Turkey provided the sample. A SERVQUAL-type of questionnaire was used and a total of 32,938 questionnaires were distributed both manually and online, 24,551 usable were received, comprising a response rate of 77.31 percent.

Findings of the QFD application suggest internal customer focus as having the highest weight score of almost 12 percent improvement. In addition, improvements in technical requirements of politeness and process communication have a 9 percent impact each on internal customer satisfaction criteria.

QFD technique is able to provide companies with a better understanding of internal customer expectations and translate these into appropriate service specifications and perform existing process assessment.

This paper is a first attempt that applies this integrative approach to a different type of industry, thus offering practical and applied information for professionals engaged in academia and as practitioners.

The purpose of the study is to provide a concrete, integrated plan to improve the service quality of mobile government (m-government) services from the customer perspective in the Gulf Cooperation Council.

A quantitative approach was used to analyze a case study of the UAE Ministry of Interior (MOI) mobile application and a competitor: the MOI application of the Kingdom of Saudi Arabia. Data were collected using a focus group.

Results show that the technical requirement “real time” has the highest priority for deployment and “tangible service” has the lowest priority.

Findings are limited to m-government services. Further studies could explore other government services such as traditional face-to-face services.

Results imply that if government decision-makers or software developers aim to understand customer requirements and improve their mobile services accordingly, the quality-function-deployment (QFD) approach is much more effective than traditional approaches in which decisions regarding services are prioritized based on the decision-makers or software developers’ perspectives.

Many previous studies have applied QFD for developing products based on customer needs. This, however, is one of the few studies to successfully apply the QFD matrix to m-government services.

Product verification and validation are integral to quality management. Product verification means verifying the conformity between a product’s actual and planned characteristics whereas validation means determining whether and to what extent it satisfies customers’ requirements. One of the key forms of product validation is testing with a group of customers. The purpose of this paper is to introduce a graphical method of product validation based on the Kano model.

The approach is based on a proposed method for categorising requirements based on a Kano questionnaire and then applies this method for the validation of a product – a website. The proposed method is based on three steps: graphical determination of requirements in a Kano model; determination of requirement fulfilment degree and prioritisation of corrective measures and improvements.

The study opens space for discussion of the potential for improving a product and methods for identifying critical faults in products. The proposed method also permits an assessment of the potential effectiveness of an improvement because it is able to quantify the effect of the product on the consumer resulting from a given quantity of effort. A case study demonstrated that the resulting priority of corrective measures and improvements was affected not only by the level of fulfilment of the requirements but also by the type, the most critical being non-fulfilment of must-be requirements.

The requirement curves are based on a verbal assessment of satisfaction in two states – if the requirement were fulfilled and if it were not fulfilled. The values of the start and end points may not be precise and could be affected by the natural character of subjective variables.

The proposed method is particularly suited to the initial testing of a product that is intended to lead to measures to eliminate customer dissatisfaction or increase their satisfaction – that is, to improve the product. The method also permits an assessment of the extent to which customers feel that their expectations have been satisfied and the effect that will be felt if the organisation decides to increase fulfilment.

The Kano model has not yet been applied to product validation, although it contains all the information necessary for this task. Knowing how satisfied customers are is an important part of product validation. At the same time, knowing a mechanism for “creating” this satisfaction is also very valuable information.

The present paper aims to propose a framework on weather index insurance (WII) service design by using quality function deployment (QFD).

This study utilizes QFD technique to propose a customer oriented framework on WII service design. In initial phase, customer and design requirements were gathered to derive the relationship between customers' and managers' voice for construct the house of quality (HOQ). Later on, prioritized customer and design requirements as QFD outcome were utilized to develop the action plan matrix in order to suggest the future action plans.

This study proposed a customer centric framework on WII service design to address the customer requirements. Findings show that adequate claim payments, hassle free prompt claim payment and transparency in losses computation are prioritized customer requirements with highest importance rating, whereas, accurate claim estimation, claim management system and advancement of technology are prioritized service design necessities with highest importance rating.

The proposed WII service design can enhance the quality of WII service by attain the higher standards of WII service in order to completely satisfy the customers.

The proposed WII service design can provide a solution to the problems faced by WII industry by improve the customer's service experience and satisfaction.

Based on best of author's knowledge, this paper first proposed a framework on WII service design by integrating customer and design requirements by using QFD.

In previous studies, historical information of customer had been used for determining customer lifetime value (CLV). The purpose of this paper is to modify CLV estimation to be applied before producing a new product.

In this study, the CLV estimation has been modified using Kano satisfaction coefficient. The Kano satisfaction coefficient has been assumed as loyalty indicator in estimating CLV and related equations have been developed for allocating Kano requirements to various phases of product life cycle. The proposed approach has been examined in two new product options of the automobile industry. Finally, by using customers’ purchase records during three years, CLV has been calculated for both product development options.

Findings indicate that CLV of the first development option is equal to 407 million and 500,000 toumans and of the second option is equal to 392 million toumans, this difference is related to different requirements of the Kano model, and as a result, to different satisfaction coefficients. Therefore, the first option has been suggested for investing in developing new product.

Application of the proposed approach is limited to short time periods. The findings are limited to the automobile industry.

The modified approach of estimating CLV can be applied for prospective new product development in addition to traditional approaches in which, only the historical data of sold products are used. In addition, using Kano satisfaction coefficient in estimation of CLV in short periods, seems an appropriate approach for competitive industries that focus on dynamic needs of customers.

Quality function deployment (QFD) is a structured approach to seek out customers, understand their needs, and ensure that their needs are met. QFD is probably the most important management tool developed to assure quality in new or improved products and services. As with any other tool, the quantum of benefits obtained from the use of QFD is proportional to the effectiveness of its use. To enhance the effectiveness and efficiency of QFD as a means to transfer the “voice of the customer” into design and production, a new comprehensive hierarchical framework for QFD planning process and a zero‐one goal programming model for the selection of design requirements are proposed. The hierarchical framework contributes to the strategic guidance and provides clear direction for QFD teams during the construction of the house of quality. The decision model assists in determining a set of design requirements that most effectively meet customer needs subject to limited resources and other organizational restrictions. An illustrative example is also provided to demonstrate the practical usage of the design selection model.

The purpose of this paper is to examine the application of C-shaped QFD 3D Matrix in comparing process characteristics (PC), performance aspects (PA) and customer requirements, simultaneously and to prioritize the first two sets, respectively.

A three dimensional matrix has been developed with three sets of PC, PA and customers’ requirements and C-shaped matrix has been applied for simultaneous comparison of the dimensions and prioritization of the subsets of PC and PA. The proposed approach has been examined in a post bank.

Findings confirm the possibility of simultaneous comparison and prioritization of the three sets of dimensions of this study in post bank services. In addition, “growth and learning” and “bilateral relationship with suppliers” had the first priorities among PA and PC, respectively.

While the proposed approach has many advantages, filling the matrixes is time-consuming. Since illustrating the 3D matrix was not possible, the matrix was separated into five two-dimensional matrixes.

Compared to the studied literature, the proposed approach is practically new in the post bank services.

The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

Quality Function Deployment (QFD) proposes to take into account the “voice of the customer,” through a list of customer needs, which are (qualitatively) mapped to technical requirements in House One. But customers do not perceive products in this space, nor do they not make purchase decisions in this space. Marketing specialists use statistical models to map between a simpler space of customer perceptions and the long and detailed list of needs. For automobiles, for example, the main axes in perceptual space might be categories such as luxury, performance, sport, and utility. A product’s position on these few axes determines the detailed customer requirements consistent with the automobiles’ position such as interior volume, gauges and accessories, seating type, fuel economy, door height, horsepower, interior noise level, seating capacity, paint colors, trim, and so forth. Statistical models such as factor analysis and principal components analysis are used to describe the mapping between these spaces, which we call House Zero.

This paper focus on House One. Two important steps of the product development process using House One are: (1) setting technical targets; (2) identifying the inherent tradeoffs in a design including a position of merit. Utility functions are used to determine feature preferences for a product. Conjoint analysis is used to capture the product preference and potential market share. Linear interpolation and the slope point formula are used to determine other points of customer needs. This research draws from the formal mapping concepts developed by Nam Suh and the qualitative maps of quality function deployment, to present unified information and mapping paradigm for concurrent product/process design. This approach is the virtual integrated design method that is tested upon data from a business design problem.