Kano qualitative vs quantitative approaches: An assessment framework for products attributes analysis

Violante, Maria Grazia; Vezzetti, Enrico

doi:10.1016/j.compind.2016.12.007

Cited by 110 publications

(76 citation statements)

References 39 publications

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“…We introduced three methods for measuring satisfaction and dissatisfaction, and the ARP model works independently of which of them is used. We applied the continuous Kano model for our case study as it has been widely discussed in literature [74]. Offering the results of the case study, we asked the managers about the usefulness of Kano model and its efficiency.…”

Section: Usefulness Of Kano For Measuring Feature Satisfaction and DImentioning

confidence: 99%

Asymmetric Release Planning: Compromising Satisfaction against Dissatisfaction

Nayebi

Ruhe

2019

IIEEE Trans. Software Eng.

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Maximizing satisfaction from offering features as part of the upcoming release(s) is different from minimizing dissatisfaction gained from not offering features. This asymmetric behavior has never been utilized for product release planning. We study Asymmetric Release Planning (ARP) by accommodating asymmetric feature evaluation. We formulated and solved ARP as a bicriteria optimization problem. In its essence, it is the search for optimized trade-offs between maximum stakeholder satisfaction and minimum dissatisfaction. Different techniques including a continuous variant of Kano analysis are available to predict the impact on satisfaction and dissatisfaction with a product release from offering or not offering a feature. As a proof of concept, we validated the proposed solution approach called Satisfaction-Dissatisfaction Optimizer (SDO) via a real-world case study project. From running three replications with varying effort capacities, we demonstrate that SDO generates optimized trade-off solutions being (i) of a different value profile and different structure, (ii) superior to the application of random search and heuristics in terms of quality and completeness, and (iii) superior to the usage of manually generated solutions generated from managers of the case study company. A survey with 20 stakeholders evaluated the applicability and usefulness of the generated results.

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Section: Usefulness Of Kano For Measuring Feature Satisfaction and DImentioning

confidence: 99%

Asymmetric Release Planning: Compromising Satisfaction against Dissatisfaction

Nayebi

Ruhe

2019

IIEEE Trans. Software Eng.

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“…Traditionally, previous scholars considered a linear relationship between the fulfillments of quality characteristics and customer satisfaction (Violante & Vezzetti, 2017). Along with the challenges and arguments related to this assumption, KANO (1984) proposed a two-dimensional nonlinear model for the classification of product features (Fig.…”

Section: Kano Model and Fuzzy Set Theorymentioning

confidence: 99%

Assessing the Usability of Online Food Ordering Websites Using a New Fuzzy Kano Method: Implications for Improvement

Taimouri¹,

Emamisaleh²,

Mohammadi³

2019

IJBM

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Following the rapid development of the Internet, e-commerce websites are widely used today for various goals. An essential point in the prosperity of these websites is their level of usability. Accordingly, measuring this usability is indispensable for these websites to check whether they are moving in the right path. Thus, in this article, the usability scores of five well-known online food-ordering websites in Iran have been evaluated using a novel fuzzy Kano method with respect to design parameters. In addition to assessing usability scores, the design parameters of these websites have been classified and reviewed in a detailed manner in order to determine the design priorities of these websites as one of the main results of this study. Data were gathered using a questionnaire with 190 respondents. Results demonstrated that Snappfood is the best online food-ordering website in Iran. In addition, sorting restaurants based on customer satisfaction score, using high-quality images of foods along with the image zooming feature, and the existence of complete information about foods and restaurants are the most effective and important design parameters of these types of websites according to the findings of this study.

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“…In the literature, UX is considered a multifaceted phenomena that involves subjective feelings (change in core affect) [12], behavioural, expressive, and physiological reactions [13,14]. Today a number of different methods, such as quality function deployment (QFD) [15], semantical environment description (SMB or SD) [16], conjoint analysis [17], Kano model (Sauerwein, E., Bailom, F., Matzler, K., & Hinterhuber, H. H., 1996), Kano [18], and Kansei engineering [19,20] exist and are used in practical applications to capture the customer's considerations and feelings of products and translate these emotional aspects into concrete product design [21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

3D Facial Expression Recognition for Defining Users’ Inner Requirements—An Emotional Design Case Study

Violante¹,

Marcolin²,

Vezzetti³

et al. 2019

Applied Sciences

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This study proposes a novel quality function deployment (QFD) design methodology based on customers’ emotions conveyed by facial expressions. The current advances in pattern recognition related to face recognition techniques have fostered the cross-fertilization and pollination between this context and other fields, such as product design and human-computer interaction. In particular, the current technologies for monitoring human emotions have supported the birth of advanced emotional design techniques, whose main focus is to convey users’ emotional feedback into the design of novel products. As quality functional deployment aims at transforming the voice of customers into engineering features of a product, it appears to be an appropriate and promising nest in which to embed users’ emotional feedback with new emotional design methodologies, such as facial expression recognition. This way, the present methodology consists in interviewing the user and acquiring his/her face with a depth camera (allowing three-dimensional (3D) data), clustering the face information into different emotions with a support vector machine classificator, and assigning customers’ needs weights relying on the detected facial expressions. The proposed method has been applied to a case study in the context of agriculture and validated by a consortium. The approach appears sound and capable of collecting the unconscious feedback of the interviewee.

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Kano qualitative vs quantitative approaches: An assessment framework for products attributes analysis

Cited by 110 publications

References 39 publications

Asymmetric Release Planning: Compromising Satisfaction against Dissatisfaction

Asymmetric Release Planning: Compromising Satisfaction against Dissatisfaction

Assessing the Usability of Online Food Ordering Websites Using a New Fuzzy Kano Method: Implications for Improvement

3D Facial Expression Recognition for Defining Users’ Inner Requirements—An Emotional Design Case Study

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