IDEAS home Printed from https://ideas.repec.org/p/zbw/iubhit/2juli2023.html
   My bibliography  Save this paper

Towards acceptance criteria for a digital euro

Author

Listed:
  • Krüger, Nicolai
  • Busche, Jan

Abstract

Alongside other central banks, the European Central Bank (ECB) is currently exploring the potential of a Central Bank Digital Currency (CBDC). Such a significant payment innovation requires compliance with the ECB's mandate based on the Treaties of the European Union, in addition to socio-technical and socioeconomic considerations. Thus, Information Systems (IS) researchers might witness and actively participate in one of the most important changes associated to currency-related fundamental rights in our time in the euro area. IS research can provide useful insights into technology acceptance criteria of a CBDC, which is a novel and unfamiliar technology for most people, and help identify requirements. Our paper provides an overview of the current state of development. Furthermore, we present a Technology Acceptance Model - based vignette study (N = 207) and derive design principles for a prospective digital euro (PDE). The results of the study show that acceptance by the German population can be assumed. However, there are significant differences depending on the final design choices.

Suggested Citation

  • Krüger, Nicolai & Busche, Jan, 2023. "Towards acceptance criteria for a digital euro," IU Discussion Papers - IT & Engineering 2 (Juli 2023), IU International University of Applied Sciences.
    • Handle: RePEc:zbw:iubhit:2juli2023
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/273489/1/1853166162.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michiel Bijlsma & Carin van der Cruijsen & Nicole Jonker & Jelmer Reijerink, 2021. "What triggers consumer adoption of CBDC?," Working Papers 709, DNB.
    2. A. M. Mooij, 2023. "A digital euro for everyone: Can the European System of Central Banks introduce general purpose CBDC as part of its economic mandate?," Journal of Banking Regulation, Palgrave Macmillan, vol. 24(1), pages 89-104, March.
    3. Ying Lei Toh & Thao Tran, 2020. "How the COVID-19 Pandemic May Reshape the Digital Payments Landscape," Payments System Research Briefing, Federal Reserve Bank of Kansas City, pages 1-10, June.
    4. Angeloni, Ignazio, 2023. "The digital euro: A precautionary device, not a deus ex machina," SAFE Policy Letters 99, Leibniz Institute for Financial Research SAFE.
    5. Berentsen, Aleksander, 2020. "Plädoyer für den E-Euro - Implikationen für die Gesellschaft," Working papers 2020/17, Faculty of Business and Economics - University of Basel.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    2. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    3. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    4. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    5. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    6. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    7. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    8. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    9. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    10. Svetlana Abramova & Rainer Böhme & Helmut Elsinger & Helmut Stix & Martin Summer, 2022. "What can CBDC designers learn from asking potential users? Results from a survey of Austrian residents (Svetlana Abramova, Rainer Böhme, Helmut Elsinger, Helmut Stix, Martin Summer)," Working Papers 241, Oesterreichische Nationalbank (Austrian Central Bank).
    11. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    12. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    13. Fatima Zahra Barrane & Gahima Egide Karuranga & Diane Poulin, 2018. "Technology Adoption and Diffusion: A New Application of the UTAUT Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-19, December.
    14. Mary D. Adu & Usman H. Malabu & Aduli E. O. Malau-Aduli & Aaron Drovandi & Bunmi S. Malau-Aduli, 2020. "Efficacy and Acceptability of My Care Hub Mobile App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    15. Ofir Turel & Catherine E. Connelly, 2012. "Team Spirit: The Influence of Psychological Collectivism on the Usage of E-Collaboration Tools," Group Decision and Negotiation, Springer, vol. 21(5), pages 703-725, September.
    16. Baicu Claudia Gabriela & Gârdan Iuliana Petronela & Gârdan Daniel Adrian & Epuran Gheorghe, 2020. "The impact of COVID-19 on consumer behavior in retail banking. Evidence from Romania," Management & Marketing, Sciendo, vol. 15(s1), pages 534-556, October.
    17. Cong Cheng & Hongfang Cui, 2024. "Combining digital and legacy technologies: firm digital transformation strategies—evidence from Chinese manufacturing companies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    18. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    19. Zamrudi Zakky & Wicaksono Teguh, 2018. "Promoting the Use of Social Commerce on SME in the Context of Logistics: UTAUT Model Examination," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 9(2), pages 73-82, November.
    20. Yuting Zhang & Xiaofen Yu & Ning Cai & Yong Li, 2020. "Analyzing the Employees’ New Media Use in the Energy Industry：The Role of Creative Self-Efficacy, Perceived Usefulness and Leaders’ Use," Sustainability, MDPI, vol. 12(3), pages 1-13, January.

    More about this item

    Keywords

    Central Bank Digital Currency; European Central Bank; Digital Euro; Technology Acceptance Model; Intention to use; Cryptocurrencies;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:iubhit:2juli2023. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.iu.de/forschung/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.