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Fuzzy Set Qualitative Comparative Analysis of Factors Influencing the Use of Cryptocurrencies in Spanish Households

Author

Listed:
  • Mario Arias-Oliva

    (Department of Management and Marketing, Complutense University of Madrid, 28040 Madrid, Spain)

  • Jorge de Andrés-Sánchez

    (Social and Business Research Laboratory, University Rovira i Virgili, 43002 Tarragona, Spain)

  • Jorge Pelegrín-Borondo

    (Economics and Business Department, University of La Rioja, 26006 Logroño, Spain)

Abstract
This paper assesses the variables influencing the expansion of cryptocurrency (crypto for short) use in households. To carry on the study we apply a consumer-behavior focus and so-called fuzzy set Qualitative Comparative Analysis (fsQCA). In a previous research, that was grounded on Unified Theory of Acceptance and Use of Technology (UTAUT) and Partial Least Squares (PLS), we found that main factors to explain the intention to use of cryptos by individuals were performance expectancy (in fact, it was the main factor), effort expectancy and facilitating conditions. We did not found evidences about the relevance of social influence, perceived risk and financial literacy. This study revisits these results by applying fsQCA instead PLS. Empirical research on factors influencing cryto use is relatively scarce due to the novelty of blockchain techs, so the present paper expands the literature on this topic by using an original analytical tool in this context. The main contribution of this paper consists in showing empirically that fsQCA provides a complementary and enriching perspective to interpret data about the use of cryptos. We obtain again that the most relevant factor to explain the intention of using cryptocurrencies is perceived expectancy and that also effort expectancy and facilitation conditions are relevant. But also fsQCA has allowed us discovering that despite social influence, perceived risk and financial literacy were not significant in the PLS model, they impact on the intention to use cryptocurrencies when are combined with other factors. Social influence acts as an “enable factor” for the rest of explanatory variables and it is linked positively with intention to use cryptos. Also financial literacy is relevant because its lack is a sufficient condition for the non-acceptance of that blockchain tech. Likewise we have checked that perceived risk influences the intention of using cryptos. However, this influence may be positive or negative depending of the circumstances.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:4:p:324-:d:494805
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    References listed on IDEAS

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    Cited by:

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    2. Jorge de Andres-Sanchez & Ala Ali Almahameed & Mario Arias-Oliva & Jorge Pelegrin-Borondo, 2022. "Correlational and Configurational Analysis of Factors Influencing Potential Patients’ Attitudes toward Surgical Robots: A Study in the Jordan University Community," Mathematics, MDPI, vol. 10(22), pages 1-16, November.
    3. Luis Porcuna-Enguix & Elisabeth Bustos-Contell & José Serrano-Madrid & Gregorio Labatut-Serer, 2021. "Constructing the Audit Risk Assessment by the Audit Team Leader When Planning: Using Fuzzy Theory," Mathematics, MDPI, vol. 9(23), pages 1-22, November.
    4. Jorge Andrés-Sánchez & Laura González-Vila Puchades & Mario Arias-Oliva, 2023. "Factors influencing policyholders' acceptance of life settlements: a technology acceptance model," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(4), pages 941-967, October.
    5. Chong Li & Yingqi Li, 2023. "Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis," Sustainability, MDPI, vol. 15(5), pages 1-37, February.

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