Pregled bibliografske jedinice broj: 786248
Key-Driver Analysis with Extended Back- Propagation Neural Network Based Importance- Performance Analysis (BPNN-IPA)
Key-Driver Analysis with Extended Back- Propagation Neural Network Based Importance- Performance Analysis (BPNN-IPA) // Intelligent Decision Making in Quality Management - Theory and Applications / Kahraman, Cengiz ; Yanık, Seda (ur.).
Cham: Springer, 2016. str. 447-461
CROSBI ID: 786248 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Key-Driver Analysis with Extended Back- Propagation Neural Network Based Importance- Performance Analysis (BPNN-IPA)
Autori
Mikulić, Josip ; Krešić, Damir ; Miličević, Katarina
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Intelligent Decision Making in Quality Management - Theory and Applications
Urednik/ci
Kahraman, Cengiz ; Yanık, Seda
Izdavač
Springer
Grad
Cham
Godina
2016
Raspon stranica
447-461
ISBN
978-3-319-24497-6
Ključne riječi
Back-propagation, Neural network, Importance-performance analysis, Attribute importance, Service quality
Sažetak
Importance-performance analysis (IPA) is a popular prioritization tool used to formulate effective and efficient quality improvement strategies for products and services. Since its introduction in 1977, IPA has undergone numerous enhancements and extensions, mostly with regard to the operationalization of attribute-importance. Recently, studies have promoted neural network -based IPA approaches to determine attribute-importance more reliably compared to traditional approaches. This chapter describes the application of back- propagation neural networks (BPNN) in an extended IPA framework with the goal of discovering key areas of quality improvements. The value of the extended BPNN-based IPA is demonstrated using an empirical case example of airport service quality .
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Zagreb,
Institut za turizam, Zagreb
