An exploratory study on visual merchandising of an apparel store utilizing 3D technology
Eunsoo Baek,
Ho Jung Choo,
So-Yeon Yoon,
Hyein Jung,
Gahoi Kim,
Hyesun Shin,
Hyunchul Kim and
Hyunsook Kim
Journal of Global Fashion Marketing, 2015, vol. 6, issue 1, 33-46
Abstract:
To provide a competitive edge against the rapid growth of online stores, offline stores' physical environments have become more important in attracting consumers. Visual design and display of items and décor for better communication with consumers is known as visual merchandising (VM), which enhances shoppers' in-store exploration and experience. This study investigates the effect of an apparel store's VM on consumers' response with the S-O-R model. Theme-centric and product-centric VM strategies are suggested as the two representative types, and were thus designed and actualized via 3D technology using SketchUp 8. A short video clip was used to enhance the reality of store environment in examining consumers' evaluation toward VM elements (S), emotional response (O) and approach behaviors (R). This study suggests fundamental classification of VM types for retailers to support the development of VM strategies in design of differentiated store environments.
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/20932685.2014.971502 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rgfmxx:v:6:y:2015:i:1:p:33-46
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rgfm20
DOI: 10.1080/20932685.2014.971502
Access Statistics for this article
Journal of Global Fashion Marketing is currently edited by Yelena Wang
More articles in Journal of Global Fashion Marketing from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().