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Lookup NU author(s): Dr Ying ZhangORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
To understand the slow adoption of blockchain technology by organisations, we conduct a systematic literature review of adoption factors using a mixed-methods approach. Using thematic analysis, 880 factors are identified and grouped into 29 themes, which offer a comprehensive overview of the literature. Using statistical analysis, the identified factors are dissected into technological (T), organisational (O), and environmental (E) dimensions (the TOE framework). Themes are further classified as barriers (B), enablers (En), and ambiguous (A) to describe a firm's readiness for blockchain adoption (the BEnA framework). We emphasise the multidimensionality of adoption factors across the TOE dimensions and the conditionality of adoption enablers across the BEnA dimensions. Analysis of research trends shows that recent blockchain adoption literature has focused on elaborating upon existing research themes (involution) rather than on developing new themes (evolution). Based on our analyses, we propose future research directions, including scrutinising the interdependence and multidimensionality of blockchain adoption factors, further examining factors with conditional or unclear effects on adoption, and broadening the contextual, temporal, and theoretical aspects of blockchain adoption research.
Author(s): Zhang Y, Tavalaei MM, Parry G, Zhou P
Publication type: Article
Publication status: Published
Journal: Technological Forecasting and Social Change
Year: 2024
Volume: 208
Print publication date: 01/11/2024
Online publication date: 27/08/2024
Acceptance date: 21/08/2024
Date deposited: 06/11/2025
ISSN (print): 0040-1625
ISSN (electronic): 1873-5509
Publisher: Elsevier Inc.
URL: https://doi.org/10.1016/j.techfore.2024.123710
DOI: 10.1016/j.techfore.2024.123710
Data Access Statement: Data will be made available on request.
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