• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
  •   Home
  • Øvrige samlinger
  • Publikasjoner fra CRIStin - NTNU
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Designing social commerce platforms based on consumers ’ intentions

Mikalef, Patrick; Giannakos, Michail; Pappas, Ilias
Journal article, Peer reviewed
Published version
View/Open
Designing+social+commerce+platforms+based+on+consumers+intentions_BI.pdf (Locked)
URI
http://hdl.handle.net/11250/2473583
Date
2017
Metadata
Show full item record
Collections
  • Institutt for datateknologi og informatikk [3784]
  • Publikasjoner fra CRIStin - NTNU [19849]
Original version
10.1080/0144929X.2017.1386713
Abstract
Social commerce has been gaining momentum over the last few years as a novel form of e- commerce, creating substantial changes for both businesses and consumers. However, little is known about how consumer behaviour is influenced by characteristics on social commerce platforms. The purpose of this research is to elucidate how user intentions to purchase and to spread word-of-mouth (WOM) are influenced by characteristics present on social commerce platforms. More specifically, we adopt a uses-and-gratifications perspective and examine the influence of socialising, personal recommendation agents, product selection, and information availability. Partial least squares structural equation modelling analysis is performed on a sample of 165 social commerce users. Outcomes of the analysis indicate that socialising and personal recommendation agents positively influence purchase and WOM intentions, while product selection is found to only enhance purchase intentions. Interestingly, our findings reveal that information availability has no significant effect on purchase and WOM intentions. Finally, we find that when purchase intentions are triggered, they will tend increase consumers ’ intentions to WOM.
Publisher
Taylor & Francis
Journal
Behavior and Information Technology

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit