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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 purpose of this study is to compare the results of customer satisfaction indices (SI) in the literature and to propose equations to show that the reverse attribute needs to be taken into account in these calculations owing to its impact on customer satisfaction.

To propose equations that take into account all types of quality attributes and in opposition to the models proposed by Berger (1993) and Wang (2013), in this work, a questionnaire adapted from the Kano model was developed, using the dimensions of the SERVQUAL model and applied to tourists who use the airline service. Data collection was carried out through social media, obtaining 694 responses.

The findings show that the attributes considered as reverse were linked to the delay in the service late check-in, delay in the dispatch of luggage, delay in on-board service and take-off delay, generating dissatisfaction among tourists. Moreover, the same database used to compare the results of the dissatisfaction indices of Berger (1993) and Wang (2013) showed inconsistencies reinforcing the gap that this research intends to close. After the proposal of the SI made by the authors of the present research it was possible to verify the confirmation regarding the definition of reverse attribute developed by the Kano model, reinforcing that the customer satisfaction decreases with the presence of reverse attribute.

The originality of this research seeks to contribute to the academic literature and organizational practices by investigating a gap in the SI proposed by Berger et al. (1993) for not inserting the reverse attributes and, later, studied by Wang (2013). Furthermore, this research uses the Kano questionnaire as an input to assist in the correct identification and evaluation of all attributes present in the service offered.

航空质量评估以改善战略旅游管理

这项研究的目的是比较文献中客户满意度指数的结果, 并提出方程式, 以显示由于反向属性对客户满意度的影响, 需要在这些计算中考虑反向属性。

为了提出考虑所有类型质量属性且与Berger (1993）和Wang (2013）提出的模型相反的方程式, 在这项工作中, 使用Kano模型改编了问卷。 SERVQUAL模型的维度, 并应用于使用航空公司服务的游客。数据收集是通过社交媒体进行的, 获得了694条回应。

调查结果表明, 被认为是反向的属性与服务的延迟（延迟登机（属性23）, 行李寄送的延迟（属性24）, 机上服务的延迟（属性25）有关。以及起飞延迟（属性26）引起游客的不满, 此外, 用于比较Berger (1993）和Wang (2013）的不满指标结果的同一数据库显示出不一致的地方, 从而加剧了本研究打算缩小的差距根据本研究的作者提出的满意度指标的提议, 有可能验证由Kano模型开发的关于反向属性定义的确认, 从而加强了客户满意度随着反向属性的存在而降低的事实。

本研究的独创性旨在通过调查Berger等人(1993）提出的不插入反向属性的满意度指标方面的差距来为学术文献和组织实践做出贡献, 后来由Wang (2013）研究。此外, 本研究使用Kano问卷作为输入, 以帮助正确识别和评估所提供服务中存在的所有属性。

Evaluación de la calidad de las aerolíneas para mejorar la gestión estratégica del turismo

El propósito de este estudio es comparar los resultados de los índices de satisfacción del cliente en la literatura y proponer ecuaciones para mostrar que el atributo inverso debe tenerse en cuenta en estos cálculos debido a su impacto en la satisfacción del cliente.

Con el fin de proponer ecuaciones que tengan en cuenta todo tipo de atributos de calidad y en oposición a los modelos propuestos por Berger (1993) y Wang (2013), en este trabajo se desarrolló un cuestionario adaptado del modelo de Kano, utilizando el dimensiones del modelo SERVQUAL y aplicado a los turistas que utilizan el servicio de la aerolínea. La recolección de datos se realizó a través de las redes sociales, obteniendo 694 respuestas.

Los hallazgos muestran que los atributos considerados como revertidos estaban vinculados al retraso en el servicio (Facturación tardía (atributo 23), Retraso en el despacho de equipaje (atributo 24), Retraso en el servicio a bordo (atributo 25) y retraso en el despegue (atributo 26), que genera insatisfacción entre los turistas. Además, la misma base de datos utilizada para comparar los resultados de los índices de insatisfacción de Berger (1993) y Wang (2013) mostró inconsistencias que refuerzan la brecha que esta investigación pretende cerrar Luego de la propuesta de los índices de satisfacción realizada por los autores de la presente investigación se pudo verificar la confirmación respecto a la definición de atributo inverso desarrollada por el Modelo Kano, reforzando que la satisfacción del cliente disminuye con la presencia de atributo inverso.

La originalidad de esta investigación busca contribuir a la literatura académica y las prácticas organizacionales investigando un vacío en los índices de satisfacción propuestos por Berger et al. (1993) por no insertar los atributos inversos y, posteriormente, estudiado por Wang (2013). Además, esta investigación utiliza el cuestionario de Kano como insumo para ayudar en la correcta identificación y evaluación de todos los atributos presentes en el servicio ofrecido.

The aim of this research is to propose a quantitative approach to evaluating the quality of services provided, helping organizations to make strategic decisions by better understanding the characteristics that satisfy consumers.

The approach was based on the integration of the Kano model with SERVQUAL, adapted by the satisfaction equations of Albuquerque et al. (2022) and fuzzy systems theory. Through this, it was possible to infer which attributes influence customer satisfaction, identifying the ranges of satisfaction and, with the help of fuzzy, reducing the imprecision of customer perceptions.

A total of 42% of the attributes were classified as unidimensional, with attribute 11 (Reliability) and attribute 9 (Courtesy) having the highest satisfaction values. Attractive attributes accounted for 38% of the sample, with attribute 29 (Variety of products) and attribute 7 (Location) having the greatest impact on satisfaction. On the other hand, attribute 30 (Order Delay) and attribute 31 (Waiting for payment) caused more dissatisfaction among consumers (ranges −0.6, −0.71, respectively). In addition, Variety of products was the most satisfactory, while Order Delay generated the most dissatisfaction among users.

The originality of this research lies in its contribution to organizations in relation to the services offered by investigating a gap in the studies that use the Kano model, integrated with SERVQUAL, which do not include reverse attributes in their equations and analyses. With the help of fuzzy sets, the subjectivity of the individual can be translated into data for greater clarity of information.

The main impetus of the current paper is to identify and prioritize the work–family balance (WFB) satisfaction attributes specifically for working sole mothers' by deploying the Kano technique and weighted average method.

A multi-stage methodology has been used in the present analysis. Initially, the Kano method has been utilized to categorize the WFB satisfaction attributes using a three-dimensional WFB satisfaction scale. Afterward, the satisfaction coefficient technique was employed on Kano outcomes to get the WFB satisfaction and dissatisfaction index. Subsequently, the weighted average method was employed to prioritize the WFB satisfaction attributes.

Findings uncovered the significance of a non-linear association between WFB attributes and employed sole mothers' WFB satisfaction. The findings revealed that one-dimensional and must-be-based WFB satisfaction attributes are responsible for sole mothers' WFB satisfaction and employing organizations must not overlook them. Additionally, the results of weighted average method-based prioritization can help organizations to focus on particular WFB satisfaction criteria according to their priority level.

The findings are useful for WFB policy-makers and managers to formulate a suitable WFB strategy specifically for single mothers.

Results provide a path for employers to minimize the work–family role conflict and societal dissatisfaction that helps sole mothers to attain the desired WFB.

This study first employed a novel approach that incorporates the Kano application with the weighted average method in order to prioritize the WFB satisfaction attributes for lone mothers.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2023-0074

The purpose of this study was to identify the major quality features of wearable technology embedded products that have the greatest impact on consumer satisfaction using the Kano model, an organized approach to specify consumer requirements and expectation through a preference classification technique.

Using a quantitative research method, an online survey was conducted with a convenience sample of US consumers aged between 19 years old and over. A total of otal 471 useable data were obtained and used for the data analysis.

This study identified that the 11 quality features of wearables belong to one-dimensional quality category among the five Kano categories, although the impact of each quality feature's performance on consumer satisfaction varies. The results also showed that the performance level of durability, long battery life, usability, product safety, comfortability and reasonable price has the greatest impact on consumer satisfaction of wearables.

This study has implications for future research by integrating the Kano model with other design and product development related theoretical models when designing, developing and evaluating various wearable products.

This study quantified the key quality features of wearables using the Kano model, which can be a great measurement tool for future researchers to adopt in their studies. The findings of this study help designers, developers and producers of wearables to prioritize the quality features during the product design, development and manufacturing 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.

The study proposes an evaluation model that allows quantitative characterization of the effects of service quality on consumer’s satisfaction for online food delivery (OFD) services in a nonlinear manner. As such, the authors endeavor to bridge the research-to-practice gaps whereby the effect magnitudes and nonlinear patterns of service quality have been overlooked in the current literature.

The quantitative Kano method is adopted. A Kano questionnaire was first developed by synthesizing and operationalizing existing evidence on OFD service qualities. The questionnaire solicited consumers’ evaluations of 21 OFD service attributes, and it was distributed to an online panel in Singapore. With 580 valid responses, the functions that quantitatively depict effects of each attribute on consumer’s satisfaction were subsequently derived.

The results reveal that among Singaporean consumers, food quality, reliability of delivery, responsiveness of customer support, ease-of-use of digital interfaces and promotions are pivotal attributes contributing to above-average satisfaction improvement across all performance levels. Meanwhile, delivery riders’ attitudes and real-time tracking functions emerge as substantial contributors to satisfaction at high-performance levels.

The findings provide crucial insights for OFD practitioners in Singapore in resource prioritization and service optimization. This study demonstrated the importance of streamlining customer support services and focusing on the utilitarian aspects of OFD services. Moreover, these results can be employed in advanced service improvement procedures, providing a roadmap for future OFD service enhancements.

This study pioneers the development of a quantitative quality evaluation model in the OFD context. With the established quantitative Kano model, the study addresses the omission of effect magnitudes and nonlinear patterns of service quality. It highlights the transition from a binary “does it affect satisfaction” to a more nuanced “how much does it affect satisfaction” approach, offering a robust understanding of consumer’s satisfaction dynamics.

The purpose of this study was to find the key face mask features using Kano model in combination with a hierarchical cluster analysis based on customer satisfaction (CS) and preference.

This study used 171 responses collected from a self-administrated online survey with convenience sampling where respondents were asked about 16 different features of face masks.

The study revealed that, among 6 Kano categories, 15 features were categorized as “one dimensional” and only the high price fell under the “reverse” category but all features were not equally weighted by customers. The result also showed viral protection and comfortability were the most desired features by customers regardless of its price and the “color matching” feature can act both as “one dimension” and as “attractive” feature.

This study will help face mask producers to drive their resources towards those features which customers value more by showing how to prioritize features even if they fall under the same category.

This study used customer satisfaction and dissatisfaction index along with an unsupervised machine learning tool to improve features classification based on Kano model. The findings of this study can be used to formulate future research studies.

The purpose of this paper is to supply indications that may be useful in the process of development of new products that fully exploit the value potential of Internet of Things (IoT) technologies in the automotive industry. To this aim, the authors investigate how applications of the IoT to smart vehicles are perceived by consumers and describe different ways to increase their satisfaction.

After a literature review focused on IoT and consumer behaviour in the automotive industry, the authors apply the Kano model to find the drivers for achieving customer satisfaction with new product developments in smartcars.

Automotive companies need to consider what is attractive to drivers and what consumers consider to be “driver-friendly”. Using an empirical analysis, the authors highlight the motivations for developing a smartcar to fits the expectation of Italian drivers.

While the global framework given by this paper can be useful in all contexts, the empirical part is based on the Italian consumer. Further research may extend the application of the model to other countries to improve the generalizability of the results.

This study supplies an analysis of qualitative data that may prove useful to researchers and managers in planning their strategic and operative activities with the aim of improving the development of IoT-related products in the automotive industry.

This paper fulfils the need for an original research framework that sheds light on relevant insights and gives useful hints on the development of IoT technologies in the automotive sector.

The purpose of this paper is to propose an improved economic value model for human resource valuation. For this purpose, the probability of promoting people to a higher position and the satisfaction coefficient of employees and customers have been computed by competency and Kano models.

In order to calculate the probability of promoting people to a higher position, competency model and questionnaire have been used. The satisfaction coefficient of employees and customers has been calculated as a factor influencing the survival of an individual in the organization by using the Kano model. For this purpose, two questionnaires have been designed; one was completed by the employees and the other by the customers. The proposed model has been examined in a consulting company in Iran.

The human resource value of the company under study has been estimated over 29bn rials (Iranian currency). The obtained results indicate that the proposed approach as an integrative monetary and nonmonetary measure can remove the limitations of the economic value model.

The proposed model helps organizations in managing their human capitals more effectively.

In this study, the Kano and competency models have been integrated with one of the common models of human resource valuation, i.e. the economic value model. The proposed integrated model seems more effective compared to the basic model of economic value model. Application of the proposed model within the context of Iran for the first time would constitute as potential for contribution to the knowledge of human resource management in the developing countries.