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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.

The purpose of this paper is to develop and suggest a reference Kano model.

Existing Kano models have been classified into three types and, for each type, the curves, together with their corresponding evaluation tables, have been studied and a new type of the Kano model developed.

Findings imply that the existing types of the Kano model have weaknesses: starting points of the curves are not located in correct position; the sequence and slopes of the curves are not carefully illustrated; and the cells of Kano evaluation table are not coded correctly. Such problems have been resolved in the proposed Kano model.

Empirical research is needed to examine the proposed type of Kano model, and to investigate the differences between the results of the application of the new and other types of Kano model.

This study provides a valuable reference model for researchers and practitioners, to be utilized in future investigations.

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 purpose of this paper is twofold: first, to revise the Kano model with a focus on one-dimensional attributes; and second, to use the revised model for categorizing and prioritizing various employee compensation strategies.

The Kano evaluation table has been revised and the one-dimensional attribute has been further extended to three categories of O_O, O_M and O_A. In the next step, the literature review-based identified strategies have been categorized and prioritized according to the developed Kano model. Consequently, an employee compensation system has been proposed to a process-based manufacturing company as a case study.

Findings indicated that out of the 44 employee compensation strategies, typically 6 were must-be, 13 were one-dimensional, 18 were attractive and 7 were indifferent. Also, the results of the revised Kano model indicated that typically out of the 13 one-dimensional strategies, 7 were one-dimensional tending toward must-be (O_M); and 6 were one-dimensional tending toward attractive (O_A).

The case study was limited to one company. The validity of the proposed model can be further studied in a larger population. This study provides managers with a more accurate instrument of decision making in selecting more differentiated employee compensation strategies, which, in turn, might lead to more employee satisfaction.

Theoretically, this study is different from existing studies, since almost none of the previous studies extended the Kano evaluation table for one-dimensional attributes. Practically, this study is another evidence of the application of the Kano model in the field of human resource management and in particular contributes to the design of employee compensation systems.

The purpose of this paper is: to review the most commonly used approaches to the classification of quality attributes according to the Kano model; to identify the theoretical/practical strengths and weaknesses of these techniques; and to provide guidance for future research and managerial practice in this area.

Based on an extensive review of the literature on the Kano model and the relevant marketing/management literature, five approaches (Kano's method; “penalty‐reward contrast analysis”; “importance grid”; qualitative data methods; and “direct classification”) are evaluated in terms of their validity and reliability for categorising attributes in the Kano model. Several illustrative examples provide empirical evidence for the theoretical arguments advanced in the study.

The Kano questionnaire and the direct‐classification method are the only approaches that are capable of classifying Kano attributes in the design stage of a product/service. Penalty‐reward contrast analysis (PRCA) is useful for assessing the impact of product/service attributes on overall satisfaction with a product/service, but its applicability to the classification of Kano attributes is questionable. The importance grid (IG) is not recommended for use with the Kano model. The critical incident technique and the analysis of complaints/compliments are valid for the Kano model, but have questionable reliability.

The study makes some important points about accurate semantic terminology in describing issues related to the Kano model. In particular, researchers should be aware that an attractive quality element (must‐be quality element, respectively) might in fact be a dissatisfier (satisfier, respectively), due to significant conceptual differences between performance in terms of the Kano model (i.e. objective performance) and subjective performance perceptions.

The purpose of this paper is to apply the proposed methodology to develop the product as per customer’s requirements (CRs) and increase customer satisfaction (CS).

The companies are using different methods to identify CRs and translate these requirements into new products. The Kano model is used to identify CRs. The result of the Kano model is used in quality function deployment (QFD) to decide the priority for improvements of CRs and the technical requirements.

The integration of the Kano model and QFD is applied on the mobile phone. The Kano model helps to find out the CRs which affect the CS, such as attractive (A) attribute, one (O)-dimensional attribute and must be (M) attribute. The QFD method helps to translate the CRs into technical requirements so that the designer can decide priority of requirements for improvement or new product development.

The proposed methodology can be applied to different consumers as well as industrial products.

The Kano model has been used in manufacturing as well as service sector. This work explores its usefulness and applicability for consumer and industrial products.

This study aims to provide a method for classifying travellers’ requirements to help hoteliers understand travellers’ requirements and improve hotel services. Specifically, this study develops a strength-frequency Kano (SF-Kano) model to classify the requirements expressed by travellers in online reviews.

The strength and frequency of travellers’ requirements are determined through sentiment and statistical analyses of the 13,217 crawled online reviews. The proposed method considering the interaction between strength and frequency is proposed to classify the different travellers’ requirements.

This study identifies 13 travellers’ requirements by mining online reviews. According to the results of the improved Kano model, the six travellers’ requirements belong to one-dimensional requirements; two travellers’ requirements belong to must-be requirements; three travellers’ requirements belong to attractive requirements; two travellers’ requirements belong to indifferent requirements.

Results of this research can guide hoteliers to address hotel service improvement strategies according to the types of travellers’ requirements. This study can also expand the analysis scope of hotel online reviews and provide a reference for hoteliers to understand travellers’ requirements.

By mining online reviews, this study proposes an SF-Kano model to classify travellers’ requirements by considering both the strength and frequency of requirements. This study uses the optimisation model to determine the classification thresholds. This process maximises travellers’ satisfaction at the lowest cost. The classification results of travellers’ requirements can help hoteliers gain a deeper understanding of travellers’ requirements and prioritise service improvements.

The purpose of this paper is to revise the Kano evaluation table and separating indifference attributes in order to develop satisfaction and dissatisfaction indexes.

The indifference requirements have been separated and reclassified, and after revising Kano satisfaction and dissatisfaction indexes based on the new evaluation table, the developed Kano model has been examined in the city of Isfahan regarding attributes of candidates in the presidential election of 2013.

According to the new classification, the indifference attributes can be separated into seven types. The results of the case study also show that among 20 priorities of the presidential candidates, payment of subsidy, offering loan and financial facilities are must-be attributes; protecting investment and national production, export incentives and increasing national unity are attractive attributes; and the remaining are one-dimensional attributes.

The case study implies that the findings are dependent on the cultural and social context of the respondents. On the other hand, the findings of Kano model analysis are limited to short-time periods.

This research is typically unique in separating indifference attributes and in revising the satisfaction and dissatisfaction indexes of the Kano model. Practically, the application of the Kano model in the presidential election is also a new subject.

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.

The purpose of this paper is to determine the attractiveness or unattractiveness of cyberloafing in the workplace using Q methodology and the Kano model.

The perception of employees towards cyberloafing was investigated based on Q methodology, and then they were prioritized using Kano model. Ten IT companies were selected for the case study. In this study, a mixed method was used. First, 30 participants were interviewed. Next, after extracting the comments, Q-matrix was presented to 30 participants and they completed the matrix cells. Finally, Kano questionnaire was designed using the items obtained from Q methodology and distributed among 30 participants.

Q methodology led to nine perceptions, and the priorities of Kano model were proponents of increasing employees' dependence on the internet, economic thinkers, the indifferent, dissatisfied, proponents of receiving information, self-control proponents, the profit-minded, mind destroyer and satisfaction-oriented. Cyberloafing is considered unattractiveness with adverse effects. The combination of Q methodology and Kano model can improve the analysis of the results.

This study is one of the few studies in which Q methodology is improved by Kano model. In the past, Q methodology alone examined people’s perception, but by combining these two methods, it is determined which perception is more satisfying and which one is more important, and then a general result can be reached.