Skip to main navigation Skip to search Skip to main content

Investigating individual privacy within CBDC: A privacy calculus perspective

Abdul Jabbar, Ahmed Geebren, Zahid Hussain, Samir Dani, Shajara Ul-Durar*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    78 Citations (Scopus)
    58 Downloads (Pure)

    Abstract

    Central Bank Digital Currencies (CBDC) are a digital innovation based upon distributed ledger and smart contract technology. In this paper we examine how potential users of CBDC technology willingly disclose their personal information. The researchers conducted an online quantitative survey which investigates the privacy perceptions of consumers. Using the privacy calculus theory lens, this study looks at the potential benefits of CBDC and how these influence user perceptions towards privacy disclosure. While this research suggests that participants in the study had negative perceptions in relation to the disclosure of personal information, many were willing to offset these concerns if there are significant benefits in the usage of CBDC. Factors such as ease of use, convenience, availability, and credibility were viewed as key benefits in this scenario. Thus, future banking strategies and marketing approaches need to consider these components to foster CBDC adoption.
    Original languageEnglish
    Article number101826
    Number of pages12
    JournalResearch in International Business and Finance
    Volume64
    Early online date25 Nov 2022
    DOIs
    Publication statusPublished - 1 Jan 2023

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 8 - Decent Work and Economic Growth
      SDG 8 Decent Work and Economic Growth

    Keywords

    • CBDC
    • Cryptocurrency
    • Digital currency
    • Fintech
    • Privacy

    Fingerprint

    Dive into the research topics of 'Investigating individual privacy within CBDC: A privacy calculus perspective'. Together they form a unique fingerprint.

    Cite this