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Social Commerce as a Driver to Enhance Trust and Intention to Use Cryptocurrencies for Electronic Payments
- Source :
- IEEE Access, Vol 6, Pp 50737-50751 (2018), RUA. Repositorio Institucional de la Universidad de Alicante, Universidad de Alicante (UA)
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- The deployment of cryptocurrencies in e-commerce has reached a significant number of transactions and continuous increases in monetary circulation; nevertheless, they face two impediments: a lack of awareness of the technological utility, and a lack of trust among consumers. E-commerce carried out through social networks expands its application to a new paradigm called social commerce. Social commerce uses the content generated within social networks to attract new consumers and influence their behavior. The objective of this paper is to analyze the role played by social media in increasing trust and intention to use cryptocurrencies in making electronic payments. It develops a model that combines constructs from social support theory, social commerce, and the technology acceptance model. This model is evaluated using the partial least square analysis. The obtained results show that social commerce increases the trust and intention to use cryptocurrencies. However, mutual support among participants does not generate sufficient trust to adequately promote the perceived usefulness of cryptocurrencies. This research provides a practical tool for analyzing how collaborative relationships that emerge in social media can influence or enhance the adoption of a new technology in terms of perceived trust and usefulness. Furthermore, it provides a significant contribution to consumer behavior research by applying the social support theory to the adoption of new information technologies. These theoretical and practical contributions are detailed in the final section of the paper. This work was supported in part by the Spanish Research Agency (AEI) and in part by the European Regional Development Fund (FEDER) through project CloudDriver4Industry under Grant TIN2017-89266-R.
- Subjects :
- Cryptocurrencies
Cryptocurrency
technology acceptance model
Knowledge management
General Computer Science
media_common.quotation_subject
Face (sociological concept)
02 engineering and technology
Trust
Technology acceptance model
Social support
020204 information systems
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
Social media
Consumer behaviour
media_common
business.industry
05 social sciences
General Engineering
Information technology
trust
Social commerce
social support
Payment
social commerce
lcsh:Electrical engineering. Electronics. Nuclear engineering
business
lcsh:TK1-9971
Arquitectura y Tecnología de Computadores
050203 business & management
Subjects
Details
- ISSN :
- 21693536
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....230266a705ab5d2078897d7da441a8a0