A Refined Quality Attribute Classification Model for New Product and Service Strategic Design

Pugna, Adrian; Potra, Sabina; Negrea, Romeo; Miclea, Șerban; Mocan, Marian

doi:10.1016/j.procs.2016.07.080

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…We have chosen the parameters a and b in such a way as to build four functions (curves) which are able to reach four different points on the top side of the model (in the points (1, 0.25), (1, 0.5), (1, 0.75) and respectively (1, 1)) and three curves with points on the right side ((0.75, 1), (0.5, 1) and respectively (0.25, 1)). Based on the observation of Pugna et al (2016)’ regarding the overlapping of the curves in the neighborhood of the origin (0,0), we have changed the equation to prevent this from happening.…”

Section: Methodsmentioning

confidence: 99%

“…It has been used to assess students' requirements Decisionmaking tool for new product in university services (Miclea et al, 2018). Based on the HWWP methodology, new improvements have also been proposed: the Greenhouse model (Dahlgaard et al, 2016), a proactive approach as cited by Lawrence and Hammound (2017), and the HWWP nonlinear approach (Pugna et al, 2016) with strategic purposes. Lin et al (2017) have taken into consideration the HWWP model when researching new classification rules regarding the asymmetric relationship between quality attributes and customer satisfaction.…”

Section: Tools and Models For Customer Requirement Assessment A Literature Reviewmentioning

confidence: 99%

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A strategic decision making tool for new product and service design

Pugna

Potra

Negrea

2020

Self Cite

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PurposeThe present study aims to further research the theory of attractive quality for new offers by analyzing the HWWP (Health, Weapon, Wealth, Prospect) model and testing its uniformity. The purpose is to extend and refine the HWWP model based on meridian elasticity curves with the final scope of building a map for better understanding the potential value of the quality attributes in new product or strategic service design.Design/methodology/approachAfter a thorough analysis of the HWWP model for prepurchase value judgment, it has been observed that the classical form often presents a concentration of the quality attributes in its graphic representation, which limits managerial decision making. This paper presents a new methodology for testing the uniformity of the current HWWP model and a generalized approach for understanding the potential lifecycle of the new offer's features.FindingsThe results of the presented case study validate the novel tool’s applicability and can serve as a reference for managers to adequately classify customer requirements as the first step toward strategic design.Originality/valueThe author’s main contributions are: to have analyzed the current HWWP model and observed the limitations of this approach; to have proposed a statistical simple method used to test the uniformity of the HWWP model; to have developed a generalized new HWWP model that adequately explores each feature value and potential lifecycle base on meridian slices and elasticity orbits.

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Section: Methodsmentioning

confidence: 99%

Section: Tools and Models For Customer Requirement Assessment A Literature Reviewmentioning

confidence: 99%

A strategic decision making tool for new product and service design

Pugna

Potra

Negrea

2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…A quantitative evaluation explains the importance of each quality attribute to customer satisfaction. Such evaluations have been previously performed using classification rules to explain the asymmetric relationship between quality attributes and customer satisfaction [ 20 , 51 – 53 ]. One study on product development integrated Kano’s model with producer’s capacity [ 44 ].…”

Section: Literature Review and Conceptual Backgroundmentioning

confidence: 99%

Empirical research on Kano’s model and customer satisfaction

et al. 2017

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Products are now developed based on what customers desire, and thus attractive quality creation has become crucial. In studies on customer satisfaction, methods for analyzing quality attributes and enhancing customer satisfaction have been proposed to facilitate product development. Although substantial studies have performed to assess the impact of the attributes on customer satisfaction, little research has been conducted that quantitatively calculate the odds of customer satisfaction for the Kano classification, fitting a nonlinear relationship between attribute-level performance and customer satisfaction. In the present study, the odds of customer satisfaction were determined to identify the classification of quality attributes, and took customer psychology into account to suggest how decision-makers should prioritize the allocation of resources. A novel method for quantitatively assessing quality attributes was proposed to determine classification criteria and fit the nonlinear relationship between quality attributes and customer satisfaction. Subsequently, a case study was conducted on bicycle user satisfaction to verify the novel method. The concept of customer satisfaction odds was integrated with the value function from prospect theory to understand quality attributes. The results of this study can serve as a reference for product designers to create attractive quality attributes in their products and thus enhance customer satisfaction.

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The effects of customer online reviews on sales performance: The role of mobile phone’s quality characteristics

Liu

Zhong

et al. 2023

Electronic Commerce Research and Applications

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A Refined Quality Attribute Classification Model for New Product and Service Strategic Design

Cited by 5 publications

References 14 publications

A strategic decision making tool for new product and service design

A strategic decision making tool for new product and service design

Empirical research on Kano’s model and customer satisfaction

The effects of customer online reviews on sales performance: The role of mobile phone’s quality characteristics

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