Blockchain technology acceptance by investment professionals: a decomposed TPB model
Anitha Kumari and
N. Chitra Devi
Journal of Financial Reporting and Accounting, 2022, vol. 21, issue 1, 45-59
Abstract:
Purpose - The rapid emergence and acceptance of blockchain applications by investment professionals has made this study significant. The study aims to examine the degree of trust and acceptance of blockchain technology in the Indian financial services industry. Design/methodology/approach - The decomposed theory of planned behaviour (DTPB) model is investigated using responses from 200 investment professionals to an online survey on blockchain technology adoption, and partial least squares structural equation modelling using SmartPLS 3.0 is used to analyse the results. Findings - In general, the results support a DTPB and offer the best fit to the data. This study may have significant drawbacks in predicting blockchain technology’s acceptance by investment professionals. Furthermore, the findings suggest that the research instruments used in this study, which engage users in business settings, are equally successful in the context of investment professionals. Research limitations/implications - In predicting blockchain acceptance by investing experts, this study may have significant drawbacks. Practical implications - As a result of TAM studies, it has been determined that perceived usefulness is more essential than perceived ease of use. Therefore, investment professionals may have discovered significant subjective normative impacts on behavioural intention. Management must devise techniques for implementing blockchain technology in digital financial services that are compatible with users’ workplaces. Originality/value - Users may benefit from this research by concentrating on blockchain acceptance to improve digital banking services.
Keywords: Blockchain technology; TPB; TAM; Decomposed TPB; PLS-SEM (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jfrapp:jfra-12-2021-0466
DOI: 10.1108/JFRA-12-2021-0466
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