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The purpose of this paper is to provide a new decision‐aided tool for selecting customer needs during the new product development process.

The study started by examining the principles of attractive quality and its limits. The theory of attractive quality developed by Kano was used to conduct a requirement assessment and classification within four categories. The study also proposed a new method for needs analysis and, finally, an experiment with a case study was carried out for new self‐directed learning software.

This paper proposes a methodology involving the three following steps: identifying customers' needs, classifying and evaluating them, and comparing several concepts of new products. The paper proposes a matrix modeling that is based on the Kano model, which results in an analytical approach of the attractive quality theory. This enables the selection of innovative concepts and new ideas through the evaluation of their impact on needs satisfaction.

Future research is required in order to study the impact of the vocabulary used in the Kano questionnaire; misunderstanding these needs could lead to incorrect classification. Moreover, future work could consider other technical criteria for concept selection, including technical feasibility and cost constraints.

The formality of the model (clear steps and matrix modeling) and its graphical aspect (decision made based on graphical mappings) makes it a simple decision tool. It can be used by design teams during the Front‐End phases and in activities coming upstream from the more formal and well‐structured New Product Development Process (NPDP).

A major concern for companies during an innovation process is to discover users' needs. This paper presents an integrated method for customer environment analysis, needs identification, needs classification, and new concept selection. The most interesting concepts – those that yield satisfaction – will then continue through the innovation process.

The present research aims to evaluate the quality of services provided by the Basic Health Units (UBS) of the Unified Health System (SUS) located in the city of Recife, in the state of Pernambuco, Brazil, using the Kano model integrated with the dimensions of quality proposed by the service quality (SERVQUAL) model.

The research was classified as bibliographic, descriptive, quantitative and surveyable. A structured questionnaire based on the Kano Model integrated with the dimensions of quality proposed by the SERVQUAL model, applied online through Google Forms. The questionnaires were distributed on social networks, obtaining a non-probabilistic sample of 120 individuals, collected for convenience.

Through the analysis of the Kano Model, it was possible to observe that all the investigated attributes are classified as one-dimensional. Among the attributes that deserve to be highlighted are attributes “Clean and pleasant environment”, “Reliability and security of information”, “Knowledge of employees to perform services”, “Service performed in the promised time”, “Polite and kind staff in dealing with users” and “Effectiveness of the service provided” due to having the longest intervals when considering the satisfaction and dissatisfaction coefficients, above 1.575. These attributes must be considered as critical priorities when implementing improvements, since their presence considerably increases users' satisfaction, as well as their absence generates great dissatisfaction.

The research is original and justified by the potential use of a quality assessment tool in the public health service, especially primary care. It is noteworthy that there are few works that integrate the Kano and SERVQUAL models applied in the public health service and that this integration can contribute to the national and international literature, mainly in the identification and prioritization of areas for improvement.

Using asymmetric impact–performance analysis for examining an asymmetric relationship between user satisfaction and website features, the present research aims to identify features of high priority for quality improvement. For doing so, the current research was conducted in the context of the E-learning website of the most prestigious university in Iran, namely, the University of Tehran.

The main question was which of the three groups of basic, performance and excitement factors has the required dimensions of the quality of the website based on the model WebQual 4.0 by considering Kano’s user satisfaction model and impact–performance analysis. This is a descriptive survey, applied and cross-sectional study. The study population included Tehran University’s students who enrolled in virtual courses in the academic year 2020–2021 from which a sample of 457 students was selected. The data collection tool was the questionnaire of Webqual 4.0, as well as a researcher-made questionnaire to measure end-user satisfaction.

Using structural equation modeling and multiple regression, the findings showed that the customer’s overall satisfaction with the mentioned website is primarily affected by the feature interaction with services, including the two structures of trust and empathy, and then the dimensions of usability and quality of information. Examining the Webqual 0.4 dimensions indicated that the website usability dimension is a part of the high-performance excitement factors group, the information quality dimension is a part of the high-performance basic factors group and the website interaction dimension is in the low-performance basic factors group.

The research is highly innovative taking the theoretical model of Kano and methodological investigation of asymmetric impact–performance analysis into consideration alongside the WebQual 4.0 as a fundamental model for website assessment. Moreover, the research was conducted on an E-learning website, which is unique and a necessity amid the COVID-19 pandemic.

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.

The purpose of this paper is to illuminate concerned companies to develop a better understanding of customer needs through reference of Kano model.

This paper facilitates decision-making process for the productive use of strategy management through a case study approach for corrugated industries in India. A hybrid approach is employed by calculating coefficients of satisfaction with S-CR (customer requirements and customer satisfaction (CS)) relationship functions and self-stated importance evaluation.

Kano’s model provides an effective approach for both industries and academic research in classifying different customer requirements into different categories based on their impact on CS. It empowers to obtain competitive and factual information about customer needs.

This study is limited in terms of sample size, domain of the study and the coverage of participants.

This paper suggests a valuable Kano approach for concerned organizations and practitioners, to correctly identify customer requirements and channelize their resources in right direction. Fulfilling customer requirements by providing them satisfaction and delight timely is only golden rule for sustaining in this competitive world.

The purpose of this paper is threefold: first, to identify a list of fashion attributes preferred by young Bangladeshi consumers while buying casual clothes; second, to test the applicability of Kano’s quality theory in the apparel industry; and, finally, to explore the differences in fashion priorities between male and female consumers.

This study is based on primary data collected through a survey from 1,177 young consumers of urban Bangladesh. Structural equation modeling was used to develop the attribute index. Also, convergent and discriminant validity and construct reliability of the index were tested.

The study offers a four-dimensional 19-item index representing the desirable fashion attributes. This paper also confirms the applicability of Kano’s theory in the apparel industry. Results revealed that “well-designed casual attires” and “discount offers” are top-ranking attributes as perceived by both male and female consumers. However, there are differences in the preferences. Women prioritized irritation-free, durable and soft fabric, whereas men preferred attributes such as suitability of color and functionality in the workplace.

The findings of the study provide clothing suppliers of Bangladesh with information that may be utilized while preparing their options. For instance, as casual clothes are frequently worn and washed, a quality fabric that looks good even after several washes is highly recommended. Dress manufacturers need to offer colorful attires to women, whereas for men, more color options should be available. Casual clothes should be made in a way that they are acceptable in the community and workplace.

As research on exploring desirable fashion qualities in developing markets (especially in South Asian region) is rare, this study is contributing to the literature by offering validated apparel attribute index.

In this study, an integrative approach of customer satisfaction and cost of quality has been proposed for the value analysis of products based on a cost–benefit ratio.

For the integrative approach, Kano and prevention-appraisal-failure (PAF) models have been applied. By the proposed approach, the value of products can be analyzed according to customer viewpoints and cost of quality. Four products of a home appliance company have been used to examine the new approach.

Findings indicate the priorities of the studied products as stove, TV, fridge and washing machine, respectively. Such a set of prioritized products plays a strategic role in the competitive advantage of the studied company.

In this study, the weights of the cost of quality items have been assumed as equal. Also, the costs of quality items were limited to the most important ones at the studied company. However, more cost of quality items might be considered in different case studies.

In this study, the Kano and PAF models have been considered simultaneously for product value analysis from the viewpoint of customers. In addition to the classic method of value analysis which is merely based on previous events, the proposed approach is typically proactive.

This paper aims to revise the ideal ratio for selecting new products based on their qualitative analysis of desired/undesired functions.

The Kano model has been integrated with the ideal ratio to select and prioritize the design of new products. First, the functional analysis method in value engineering was used to determine the attributes and functions of each product design. Then, the Kano model was used to determine the type of each product attribute and to use the desirable functions of attractive attributes, one-dimensional, must-be and undesirable functions of reverse attributes in the ideal ratio to select and prioritize the design of the product. To examine the application of the proposed approach, a gas instruments manufacturing company was investigated, and five new products were selected for the study.

Based on the results, the product design of industrial regulator GS 77/22 was selected as the superior product and the digital diaphragm gas meter, ultrasonic gas meter, axial regulator and turbine gas meter had the second to fifth priority, respectively.

The proposed method can help product designers determine product designs suitable for customers' expectations and provide a desirable prioritization of the product design in terms of their ideal ratio according to the customers.

The proposed approach provides a more desirable prioritization compared with other prioritization methods based on customers' viewpoints. In the proposed method, the Kano model results in respecting customers, understanding community needs, respecting consumers' rights and increasing the organization's social responsibility, which will significantly increase the chance of product success in the market.

The paper aims to help companies develop a better understanding of customer needs through quantitative analysis of Kano's model.

A novel approach is developed to measure and quantify the relationships between customer satisfaction and the fulfillment of customer requirements (S‐CR) as depicted in Kano's model. A case study concerning notebook computer design is conducted to illustrate the application of the proposed approach.

By implementing the proposed approach, S‐CR relationship functions have been identified from Kano's model to illustrate the impact of different customer requirements on customer satisfaction. The case study demonstrates that the proposed approach can be implemented successfully.

In order to identify the S‐CR relationship functions, several assumptions have been made in determining the shape of relationship curves in Kano's model. Future work could focus on improving the assumptions to derive the relationship functions more objectively.

The proposed approach enables companies to develop a better understanding of customer requirements by visualizing the impact of customer requirements on customer satisfaction through S‐CR relationship functions. More importantly, it provides a way for companies to integrate Kano's model with other mathematical models or tools to support engineering design.

The proposed approach goes beyond the qualitative analysis in Kano's model by identifying S‐CR relationship functions, both linear and nonlinear, to measure the impact of different customer requirements on customer satisfaction, which is currently a new attempt in the analysis of Kano's model for quality improvement.

Developing strategic relationships with third-party logistics (3PL) providers has long been one of the key challenges in automotive supply chains. The purpose of this paper is to propose a new approach for evaluation and indexing 3PL providers using the Kano model.

The statistical population used in this research comprises managers from the Iranian automotive industry. The Kano evaluation approach is used to analyze the data collected and to classify the criteria used in selection of the preferred 3PL providers.

The results suggest that the proposed framework, based on the Kano classification, can be a powerful tool for the automotive industry in evaluating 3PL providers. Moreover, the analyses indicate that 3PL providers need to improve their service offering in aspects that are to be found in the Kano model’s requirements, namely, must-be, one-dimensional and attractive.

This study contributes to the supply chain management literature by being the first to classify selection indices of 3PL providers in the automotive industry using the Kano model.