Influence of user generated content in online shopping: impact of gender on purchase behaviour, trust, and intention to purchase
Beheruz N. Sethna,
Sunil Hazari and
Blaise Bergiel
International Journal of Electronic Marketing and Retailing, 2017, vol. 8, issue 4, 344-371
Abstract:
To investigate differences in gender in the influence of user generated content (UGC) on purchase behaviour, trust, and intention to purchase. UGC refers to online comments/opinions which can influence other users' purchase decisions. Quantitative data gathered through a survey of 232 undergraduates at an American university. UGCs have a greater influence on purchase intentions and trust for females. No gender differences were found in terms of UGC's influence for a gender-neutral product, propensity to read UGCs, frequency of purchase and authoring reviews. Insights are provided for managers interested in consumers' use of UGC. It is not only important to monitor what is being written, but also who is writing it. A better understanding of the target audience can serve only to enhance an organisation's marketing efficiency. This research attempts to address a relatively unmet need for research specifically addressing gender differences relating to UGC.
Keywords: online shopping; user generated content; UGC; gender effects on purchase behaviour; trust; intention to purchase. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.inderscience.com/link.php?id=87719 (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:ids:ijemre:v:8:y:2017:i:4:p:344-371
Access Statistics for this article
More articles in International Journal of Electronic Marketing and Retailing from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().