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

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