Issue |
MATEC Web Conf.
Volume 104, 2017
2017 2nd International Conference on Mechanical, Manufacturing, Modeling and Mechatronics (IC4M 2017) – 2017 2nd International Conference on Design, Engineering and Science (ICDES 2017)
|
|
---|---|---|
Article Number | 03005 | |
Number of page(s) | 6 | |
Section | Chapter 3: Design of Engineering and Science | |
DOI | https://doi.org/10.1051/matecconf/201710403005 | |
Published online | 14 April 2017 |
Designing Shopping Area Atmospheric Using Choice-based Conjoint Analysis: Case Study at Soekarno-Hatta International Airport
Industrial Engineering Department, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia
a Corresponding author: hutami.nadya@ui.ac.id
As a response to overcapacity issue at Soekarno-Hatta International Airport, the government is recently planning on building larger terminal buildings to transport passengers. However, in designing an excellent terminal building, one should not only consider how to process passengers in the most efficient way, but also how facility-based environmental cues, or atmospheric cues, affect consumers’ emotional state and shopping behavior. This research aims at examining passenger preferences towards atmospheric cues in airport shopping area and proposing a shopping area design based on consumer preferences. Choice-based conjoint was conducted towards 500 passengers at Soekarno-Hatta International Airport. Research findings suggested that there is a significant correlation between atmospheric cues and consumers’ purchase intention in airport shopping area. Passengers prefer a shopping area with high in-store visibility, cool colors for window display, floors, wall, and ceiling, and bright lighting for airport hallway. This research also concludes that Socio-economic Status (SES) affects passengers’ preferences.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.