ECA: An E-commerce Consumer Acceptance Model
- Tiziana Guzzo
- Fernando Ferri
- Patrizia Grifoni
Abstract
The paper starts from the hypothesis that consumers’ purchase decisions are strongly influenced by other members of social network and in particular by people with the same interests, social affinity, their centrality in the network and the electronic word of mouth. Starting from an analysis of literature on user acceptance, we developed a model called E-Commerce Consumer Acceptance - ECA that takes into account specific elements that influence consumer acceptance in the context of the online social networks. The paper extends the Technology Acceptance Model - TAM and TAM2 from a social network perspective to analyze how social influence can affect consumer acceptance of e-commerce in the specific context of social networks.
- Full Text: PDF
- DOI:10.5539/ibr.v8n1p145
Journal Metrics
h-index (January 2024): 102
i10-index (January 2024): 947
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- ACNP
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- CNKI Scholar
- COPAC
- CrossRef
- EBSCOhost
- EconBiz
- ECONIS
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- IBZ Online
- IDEAS
- Infotrieve
- Kobson
- LOCKSS
- Mendeley
- MIAR
- Norwegian Centre for Research Data (NSD)
- PKP Open Archives Harvester
- Publons
- Qualis/CAPES
- RePEc
- ResearchGate
- ROAD
- Scilit
- SHERPA/RoMEO
- SocioRePEc
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Universe Digital Library
- ZBW-German National Library of Economics
- Zeitschriften Daten Bank (ZDB)
Contact
- Kevin DuranEditorial Assistant
- ibr@ccsenet.org