Article2022

Blockchain technology acceptance by investment professionals: a decomposed TPB model

53 citations0/0 files storedJournal of financial reporting & accounting

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Technology Adoption and User Behaviour Blockchain Technology Applications and Security FinTech, Crowdfunding, Digital Finance

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.

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References

1991The theory of planned behavior 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 2016Using PLS path modeling in new technology research: updated guidelines 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model 1986Prediction of goal-directed behavior: Attitudes, intentions, and perceived behavioral control 1991Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior

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