A critical review of blockchain acceptance models—blockchain technology adoption frameworks and applications
Open accessAbstract
Blockchain is a promising breakthrough technology that is highly applicable in manifold sectors. The adoption of blockchain technology is accompanied by a range of issues and challenges that make its implementation complicated. To facilitate the successful implementation of blockchain technology, several blockchain adoption frameworks have been developed. However, selecting the appropriate framework based on the conformity of its features with the business sector may be challenging for decision-makers. This study aims to provide a systematic literature review to introduce the adoption frameworks that are most used to assess blockchain adoption and realize business sectors that these models have been applied. Thus, the blockchain adoption models in 56 articles are reviewed and the results of the studies are summarized by categorizing the articles into five main sections including supply chain, industries, financial sector, cryptocurrencies, and other articles (excluded from the former fields). The findings of the study show that the models based on the technology acceptance model (TAM), technology–organization–environment (TOE), and new conceptual frameworks were the focus of the majority of selected articles. Most of the articles have focused on blockchain adoption in different industry fields and supply chain areas.
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TTF has been useful in predicting user acceptance and adoption of technologies and in identifying potential barriers to adoption.
“It has been useful in predicting user acceptance and adoption of technologies and in identifying potential barriers to adoption that can be addressed to facilitate a successful implementation (Abdekhoda et al., 2014; Taherdoost, 2022).”
From Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector (2023) · cites this paper as Taherdoost, 2022
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Cited by
Sorted by citations
Goswami, M., Jain, S., Alam, T., Deifalla, A. F., Ragab, A. E., & Khargotra, R. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1215706 · Cited by 33 · see citing works
- Authors
- Taherdoost, H.
- Affiliations
- University Canada West (CA)
- Corresponding author
- Taherdoost, Hamed
- ORCID
- Taherdoost, Hamed
- Venue
- Computers
- Publisher
- MDPI AG
- Published
- 2022-02-08
- Volume
- 11
- Issue
- 2
- Pages
- 24
- ISSN
- 2073-431X (ISSN-L)
- OpenAlex
- W4210989736
- Cited by
- 186
- References
- 81
- Citations by year
- 2026: 31 · 2025: 51 · 2024: 48 · 2023: 40 · 2022: 16
- FWCI
- 38.38
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Computers (publishedVersion, cc-by)
- HAL (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain adoption, technology adoption framework, technology acceptance model, technology-organization-environment framework, supply chain, financial services, cryptocurrency
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