The Impact of Website Quality on Information Quality, Value, and Loyalty Intentions in Apparel Retailing
Hyejeong Kim and
Linda S. Niehm
Journal of Interactive Marketing, 2009, vol. 23, issue 3, 221-233
Abstract:
This study investigated relationships among website quality, perceived information quality, perceived value, and loyalty intentions in the context of apparel online shopping. Analysis of data using structural equation modeling showed that among the website quality dimensions, interactivity, online completeness, ease of use, and entertainment significantly influence perceived information quality. Perceived information quality affects perceived value and loyalty intentions and perceived value influences loyalty intentions toward apparel retail websites. The post-hoc test revealed that entertainment and trust affect perceived value. Online completeness and entertainment were found to influence loyalty intentions. Strategic suggestions are provided for e-retailer improvement of website information quality, such as utilizing entertaining and engaging devices and designing their websites for consumer comprehension and enjoyment during the shopping experience.
Keywords: Website quality; Information quality; Value; Loyalty intentions; Apparel; Online shopping (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (42)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1094996809000590
Full text for ScienceDirect subscribers only
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:eee:joinma:v:23:y:2009:i:3:p:221-233
DOI: 10.1016/j.intmar.2009.04.009
Access Statistics for this article
Journal of Interactive Marketing is currently edited by B. T. Ratchford
More articles in Journal of Interactive Marketing from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).