Examining cryptocurrency usage by technology acceptance model in the Turkish context
Asli Derlek Kocabas,
Eyup Calik and
Basak Cetinguc
African Journal of Science, Technology, Innovation and Development, 2024, vol. 16, issue 5, 630-640
Abstract:
In recent times, the usage of cryptocurrencies has become remarkably widespread in e-commerce applications. This study aims to explain the factors affecting cryptocurrencies by proposing an extended technology acceptance model (TAM) consisting of perceived ease of use, perceived usefulness, trust, social influence, social support, religious belief, and intention to use. A web-based survey was conducted to collect data from individuals who had never previously used cryptocurrencies and data were analyzed via employing partial least square structural equation modelling (PLS-SEM) with SmartPLS software. According to the results, the relationships based on early TAM were validated. Additionally, trust, social influence, and social support have direct effects on the intention to use. Contrary to expectations, religious belief has no influence on trust and intention to use. This study could draw the attention of researchers, developers, and marketers in cryptocurrency to understand the dynamics of potential customers. Findings of this study highlight the pressing need for policymakers in Turkiye to prioritize ease of use, perceived usefulness, and, most importantly, trust within the evolving landscape of cryptocurrency systems.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/20421338.2024.2364436 (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:taf:rajsxx:v:16:y:2024:i:5:p:630-640
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rajs20
DOI: 10.1080/20421338.2024.2364436
Access Statistics for this article
African Journal of Science, Technology, Innovation and Development is currently edited by None
More articles in African Journal of Science, Technology, Innovation and Development from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().