Blockchain Adoption: A Study of Cognitive Factors Underpinning Decision Making

Davit Marikyan*, Savvas Papagiannidis, Omer Rana, Rajiv Ranjan

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

57 Citations (Scopus)
141 Downloads (Pure)

Abstract

The literature so far has been focused on technological sophistication rather than the aspects of blockchain adoption that can hinder or facilitate the use of the technology. To address this gap this paper aims to study the cognitive factors underpinning adoption decision-making moderated by user characteristics. Using a cross-sectional research design, the study recruited 506 respondents to
participate and test the relationships hypothesised in the research model. The results of the analysis demonstrated that perceived threat vulnerability, response cost, response efficacy and self-efficacy determine adoption intention. These factors have varying effects on intention depending on users’ subjective knowledge, objective knowledge and innovativeness. This evidence contributes to the understanding of users’ perspectives on blockchain adoption, which has been under-researched so far. The findings shed light on the cognitive factors motivating blockchain-based technology use and the individual characteristics of users who are likely to adopt the technology in the context of data privacy and security. In turn, these findings can inform practitioners about the aspects of user behaviour that should be considered while developing and marketing the technology.
Original languageEnglish
Article number107207
Number of pages12
JournalComputers in Human Behavior
Volume131
Early online date24 Jan 2022
DOIs
Publication statusPublished - 26 Jan 2022

Bibliographical note

Funding Information:
This project has been funded by the Engineering and Physical Sciences Research Council (EPSRC): PACE: Privacy-Aware Cloud Ecosystems (Project Reference: EP/R033293/1 ).

Publisher Copyright:
© 2022 Elsevier Ltd

Keywords

  • blockchain
  • Technology adoption
  • Protection Motivation Theory

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