Skip navigation
  • 中文
  • English

DSpace CRIS

  • DSpace logo
  • Home
  • Research Outputs
  • Researchers
  • Organizations
  • Projects
  • Explore by
    • Research Outputs
    • Researchers
    • Organizations
    • Projects
  • Communities & Collections
  • SDGs
  • Sign in
  • 中文
  • English
  1. National Taiwan Ocean University Research Hub
  2. SDGs
  3. 11 SUSTAINABLE CITIES & COMMUNITIES
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/15201
Title: A multidimensional QFD design for the service quality assessment of Kansai International Airport, Japan
Authors: Emrah Bulut
Okan Duru
Sheng-Teng Huang 
Keywords: ANALYTIC HIERARCHY PROCESS;FUZZY-AHP;CONSISTENCY INDEX;PRIORITIES;CHOICE;MODEL;TERMINALS;JUDGMENTS;SELECTION;MATRIX
Issue Date: Aug-2018
Publisher: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Journal Volume: 29
Journal Issue: 1-2
Start page/Pages: 202-224
Source: TOTAL QUAL MANAG BUS
Abstract: 
This paper investigates multi-agent service quality problems in the area of airport management and proposes the use of the multilayer quality function deployment (QFD) model to compromise the requirements of both airline companies (carriers) and passengers to ensure generality and sustainability of quality implementation. In air transportation, customers and service providers engage each other as a result of the complex supplier-customer structure. An airport provides services simultaneously in a nested framework for both airline companies and passengers. On the other hand, airline companies serve the passengers from their own specific perspective. Therefore, airports deal with the satisfaction of airline companies and passengers, while airline companies distinctly deal with the satisfaction of passengers. The satisfaction of passengers in terms of airport services is derived form of the airline company's distinct position on service quality. The conventional QFD method is limited to compromise the multilayer customer phenomenon and the multilayer QFD model is capable of analysing the requirements of all agents in order to find appropriate solutions.
URI: http://scholars.ntou.edu.tw/handle/123456789/15201
ISSN: 1478-3363
DOI: 10.1080/14783363.2016.1174058
Appears in Collections:運輸科學系
11 SUSTAINABLE CITIES & COMMUNITIES

Show full item record

WEB OF SCIENCETM
Citations

13
Last Week
0
Last month
checked on May 7, 2023

Page view(s)

286
Last Week
0
Last month
1
checked on Jun 30, 2025

Google ScholarTM

Check

Altmetric

Altmetric

Related Items in TAIR


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Explore by
  • Communities & Collections
  • Research Outputs
  • Researchers
  • Organizations
  • Projects
Build with DSpace-CRIS - Extension maintained and optimized by Logo 4SCIENCE Feedback