Factors affecting female user information adoption: an empirical investigation on fashion shopping guide websites

Lifang Peng (), Qinyu Liao (), Xiaorong Wang () and Xuanfang He ()
Additional contact information
Lifang Peng: Xiamen University
Qinyu Liao: University of Texas Rio Grande Valley, Brownsville
Xiaorong Wang: Xiamen University
Xuanfang He: Xiamen University

Electronic Commerce Research, 2016, vol. 16, issue 2, No 2, 145-169

Abstract: Abstract With the prosperity of online shopping platforms, similar or even the same products tend to have a large variety of sources to be purchased from. More and more consumers seek the product information from online review websites before making a purchase, as they are willing to provide reviews or share their purchase experience. These behaviors turn the online review websites into vertical and community-based sales channels. Based on the Information Adoption Model, this study conducted an empirical investigation to analyze female users’ information adoption process when using fashion shopping guide website. The results show that information quality and source credibility have significant impact on information usefulness, which in turn contributes to information adoption. In addition, users with different levels of purchasing motivation demonstrate different dependence on information quality and source credibility.

Keywords: Guiding information; Female users; Fashion shopping guide website; Information quality; Source credibility; Information usefulness; Information adoption (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://link.springer.com/10.1007/s10660-016-9213-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:elcore:v:16:y:2016:i:2:d:10.1007_s10660-016-9213-z

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10660

DOI: 10.1007/s10660-016-9213-z

Access Statistics for this article

Electronic Commerce Research is currently edited by James Westland

More articles in Electronic Commerce Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().