2011
DOI: 10.1108/17542731111110258
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Attractive quality for requirement assessment during the front‐end of innovation

Abstract: PurposeThe purpose of this paper is to provide a new decision‐aided tool for selecting customer needs during the new product development process.Design/methodology/approachThe 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 fo… Show more

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Cited by 19 publications
(8 citation statements)
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“…Therefore, attractive factors are unexpected and generate surprise to the customer. Attractive functionalities have received most of the recent attention in the literature (e.g., Rejeb, Boly, and Morel-Guimaraes, 2011). There are also two secondary functionality categories, indifference and reverse.…”
Section: Kano Modelmentioning
confidence: 99%
“…Therefore, attractive factors are unexpected and generate surprise to the customer. Attractive functionalities have received most of the recent attention in the literature (e.g., Rejeb, Boly, and Morel-Guimaraes, 2011). There are also two secondary functionality categories, indifference and reverse.…”
Section: Kano Modelmentioning
confidence: 99%
“…Innovation is a complex and multifaceted concept (Prajogo, 2016;Helmi Ben Rejeb and Morel-Guimaraes, 2011). It refers to all scientific, technological, organizational, financial and commercial activities which lead to, or are intended to lead to, the implementation of technologically new or improved products or services (OECD, 2005).…”
Section: Classification Of Innovationmentioning
confidence: 99%
“…This method was also used by Matzler and Hinterhuber [1]. Another approach to improving Kano's model is to calculate Kano indices that are quantitative measurements of CS [9,22,27,28]. For instance, Tontini [28] introduced three customer satisfaction coefficients and transformed each possible answer to the questionnaire into a score to calculate the coefficients.…”
Section: Quantitative Analysis Of Kano's Modelmentioning
confidence: 99%
“…Xu et al [9] proposed an analytical Kano's model by introducing Kano classifiers and a configuration index to incorporate quantitative measures into CS, leading to an optimal trade-off between CS and producer's capacity. These refined methods can preserve the VOC more effectively than simply scoring the answers as 'attractive', 'must-be', and so forth by individually using the Kano evaluation table [27]. They make it possible to use Kano's model as a quantitative measure of the impacts of CRs on CS.…”
Section: Quantitative Analysis Of Kano's Modelmentioning
confidence: 99%