Perceived quality estimation by the design of discrete-choice experiment and best–worst scaling data: An automotive industry case
Paper i proceeding, 2019

“Which product attributes do engineers have to focus on to receive the highest level of a customer’s appreciation?” In other words, can we design for high perceived quality? In this paper, discrete-choice experiment design is presented with the combination of best–worst scaling method to evaluate the perceived quality of the complete vehicle in application to the premium automotive industry. The application of Perceived Quality Framework (PQF) and Perceived Quality Attributes Importance Ranking (PQAIR) method to measure the importance of perceived quality attributes for the automotive engineers and customers depicted commonalities and differences in perception. This information and approach can significantly improve engineering practices regarding the perceived quality of cars.

Premium

Conjoint

Best–worst scaling

Design

Product development

Cars

Perceived quality

Maxdiff

Design for x

Automotive

Discrete choice

Författare

Konstantinos Stylidis

Chalmers, Industri- och materialvetenskap, Produktutveckling

Serena Striegel

Bavarian Motor Works Group

Monica Rossi

Politecnico di Milano

Casper Wickman

Volvo Cars

Chalmers, Industri- och materialvetenskap, Produktutveckling

Rikard Söderberg

Chalmers, Industri- och materialvetenskap

Smart Innovation, Systems and Technologies

2190-3018 (ISSN)

Vol. 134 859-870

7th International Conference on Research into Design, ICoRD 2019
Bangalore, India,

Ämneskategorier

Annan maskinteknik

Design

Programvaruteknik

DOI

10.1007/978-981-13-5974-3_74

Mer information

Senast uppdaterat

2019-02-04