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An empirical study on the commercial adoption of digital currencies

Author

Listed:
  • Ioanna Roussou

    (University of Macedonia)

  • Emmanouil Stiakakis

    (University of Macedonia)

  • Angelo Sifaleras

    (University of Macedonia)

Abstract

Digital currencies are rapidly evolving Internet currencies that have been increasingly attracting academic, governmental, banking, and business interest. This paper aims to present the commercial perspective towards the adoption of digital currencies as a means of daily transactions. Considering digital currencies as a pioneering technological innovation, this study proposes a research model that combines the innovation decision process model with the technology acceptance model, adding the construct of perceived security in order to investigate the factors that affect the actual use of digital currencies. The collected data from 254 respondents, derived from an online questionnaire-based survey addressed to commercial users, were further analyzed by using structural equation modeling. The findings of this research have significant implications for academics by bridging the gap in the literature about the factors affecting digital currencies’ commercial adoption and for practitioners concerning decision-making on their adoption and use. More specifically, this study stresses the role of perceived security and the fact that managers need to build their policies regarding transactions in digital currencies on the basis of security. Perceived usefulness was also found to be a significant factor, meaning that commercial users should be aware of the advantages of digital currencies regarding businesses. Moreover, compatibility with existing values and practices affects indirectly the actual use of digital currencies, implying that managers need to perceive that the use of digital currencies should be compatible with existing practices.

Suggested Citation

  • Ioanna Roussou & Emmanouil Stiakakis & Angelo Sifaleras, 2019. "An empirical study on the commercial adoption of digital currencies," Information Systems and e-Business Management, Springer, vol. 17(2), pages 223-259, December.
  • Handle: RePEc:spr:infsem:v:17:y:2019:i:2:d:10.1007_s10257-019-00426-7
    DOI: 10.1007/s10257-019-00426-7
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    References listed on IDEAS

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    1. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. Christian Catalini & Catherine Tucker, 2016. "Seeding the S-Curve? The Role of Early Adopters in Diffusion," NBER Working Papers 22596, National Bureau of Economic Research, Inc.
    3. Chowdhury, Abdur & Mendelson, Barry K., 2013. "Virtual Currency and the Financial System: The Case of Bitcoin," Working Papers and Research 2013-09, Marquette University, Center for Global and Economic Studies and Department of Economics.
    4. Midgley, David F & Dowling, Grahame R, 1978. "Innovativeness: The Concept and Its Measurement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(4), pages 229-242, March.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Shaun McQuitty & Marco Wolf, 2013. "Structural Equation Modeling: A Practical Introduction," Journal of African Business, Taylor & Francis Journals, vol. 14(1), pages 58-69, April.
    7. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    8. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    9. Stroborn, Karsten & Heitmann, Annika & Leibold, Kay & Frank, Gerda, 2004. "Internet payments in Germany: a classificatory framework and empirical evidence," Journal of Business Research, Elsevier, vol. 57(12), pages 1431-1437, December.
    10. Dwyer, Gerald P., 2015. "The economics of Bitcoin and similar private digital currencies," Journal of Financial Stability, Elsevier, vol. 17(C), pages 81-91.
    11. 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.
    12. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    13. Linck, K. & Pousttchi, Key & Wiedemann, Dietmar Georg, 2006. "Security Issues in Mobile Payment from the Customer Viewpoint," MPRA Paper 2923, University Library of Munich, Germany.
    14. Mihaela Iavorschi, 2013. "The Bitcoin Project And The Free Market," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 5(4), pages 529-534, December.
    15. repec:jes:wpaper:y:2013:v:5:p:529-534 is not listed on IDEAS
    16. Dwyer, Gerald P, 2014. "The Economics of Private Digital Currency," MPRA Paper 55824, University Library of Munich, Germany.
    17. Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016. "The digital agenda of virtual currencies: Can BitCoin become a global currency?," Information Systems and e-Business Management, Springer, vol. 14(4), pages 883-919, November.
    18. Tetsuya Saito, 2015. "Bitcoin: A Search-Theoretic Approach," International Journal of Innovation in the Digital Economy (IJIDE), IGI Global, vol. 6(2), pages 52-71, April.
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    2. Xuechao Sui & Xianhui Geng, 2021. "Continuous usage intention to e-transaction cards in wholesale markets of agriproducts: empirical evidence from China," Future Business Journal, Springer, vol. 7(1), pages 1-13, December.
    3. Mario Arias-Oliva & Jorge de Andrés-Sánchez & Jorge Pelegrín-Borondo, 2021. "Fuzzy Set Qualitative Comparative Analysis of Factors Influencing the Use of Cryptocurrencies in Spanish Households," Mathematics, MDPI, vol. 9(4), pages 1-19, February.

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