IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i4p324-d494805.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/4/324/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/9/4/324/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. van Rooij, Maarten & Lusardi, Annamaria & Alessie, Rob, 2011. "Financial literacy and stock market participation," Journal of Financial Economics, Elsevier, vol. 101(2), pages 449-472, August.
    2. Michel Rauchs & Garrick Hileman, 2010. "Global Blockchain Benchmarking Study," Cambridge Centre for Alternative Finance Reports 201009-gbbs, Cambridge Centre for Alternative Finance, Cambridge Judge Business School, University of Cambridge.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Kaya, Bahar & Abubakar, A. Mohammed & Behravesh, Elaheh & Yildiz, Harun & Mert, Ibrahim Sani, 2020. "Antecedents of innovative performance: Findings from PLS-SEM and fuzzy sets (fsQCA)," Journal of Business Research, Elsevier, vol. 114(C), pages 278-289.
    5. Ashutosh Sheel & Vishnu Nath, 2020. "Blockchain technology adoption in the supply chain (UTAUT2 with risk) – evidence from Indian supply chains," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 12(4), pages 324-346.
    6. Fujiki, Hiroshi, 2020. "Who adopts crypto assets in Japan? Evidence from the 2019 financial literacy survey," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    7. S. V. Krishna Kishore & Aloysius Henry Sequeira, 2016. "An Empirical Investigation on Mobile Banking Service Adoption in Rural Karnataka," SAGE Open, , vol. 6(1), pages 21582440166, March.
    8. Younghwan Moon & Junseok Hwang, 2018. "Crowdfunding as an Alternative Means for Funding Sustainable Appropriate Technology: Acceptance Determinants of Backers," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    9. Annamaria Lusardi & Olivia S. Mitchell, 2014. "The Economic Importance of Financial Literacy: Theory and Evidence," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 5-44, March.
    10. Albayati, Hayder & Kim, Suk Kyoung & Rho, Jae Jeung, 2020. "Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach," Technology in Society, Elsevier, vol. 62(C).
    11. Aijaz A. Shaikh & Richard Glavee-Geo & Heikki Karjaluoto, 2018. "How Relevant Are Risk Perceptions, Effort, and Performance Expectancy in Mobile Banking Adoption?," International Journal of E-Business Research (IJEBR), IGI Global, vol. 14(2), pages 39-60, April.
    12. Ahmed, Walid M.A., 2020. "Is there a risk-return trade-off in cryptocurrency markets? The case of Bitcoin," Journal of Economics and Business, Elsevier, vol. 108(C).
    13. 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.
    14. Chan-Woo Kim & Chang-Kyo Suh, 2017. "Factors Affecting the Intention to Use the Intelligent Personal Assistant," Proceedings of International Academic Conferences 5807971, International Institute of Social and Economic Sciences.
    15. Leischnig, Alexander & Henneberg, Stephan C. & Thornton, Sabrina C., 2016. "Net versus combinatory effects of firm and industry antecedents of sales growth," Journal of Business Research, Elsevier, vol. 69(9), pages 3576-3583.
    16. Max J. Krause & Thabet Tolaymat, 2018. "Quantification of energy and carbon costs for mining cryptocurrencies," Nature Sustainability, Nature, vol. 1(11), pages 711-718, November.
    17. Warsame, Mohammed Hersi & Ireri, Edward Mugambi, 2018. "Moderation effect on mobile microfinance services in Kenya:An extended UTAUT model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 18(C), pages 67-75.
    18. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    19. Yukun Liu & Aleh Tsyvinski, 2018. "Risks and Returns of Cryptocurrency," NBER Working Papers 24877, National Bureau of Economic Research, Inc.
    20. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    21. Julio C. Mendoza-Tello & Higinio Mora & Francisco A. Pujol-López & Miltiadis D. Lytras, 2019. "Disruptive innovation of cryptocurrencies in consumer acceptance and trust," Information Systems and e-Business Management, Springer, vol. 17(2), pages 195-222, December.
    22. Oscar A. Stolper & Andreas Walter, 2017. "Financial literacy, financial advice, and financial behavior," Journal of Business Economics, Springer, vol. 87(5), pages 581-643, July.
    23. Sascha Kraus & Domingo Ribeiro-Soriano & Miriam Schüssler, 2018. "Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research – the rise of a method," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 15-33, March.
    24. Dwyer, Gerald P., 2015. "The economics of Bitcoin and similar private digital currencies," Journal of Financial Stability, Elsevier, vol. 17(C), pages 81-91.
    25. Shahzad, Fakhar & Xiu, GuoYi & Wang, Jian & Shahbaz, Muhammad, 2018. "An empirical investigation on the adoption of cryptocurrencies among the people of mainland China," Technology in Society, Elsevier, vol. 55(C), pages 33-40.
    26. Jenson, Ian & Leith, Peat & Doyle, Richard & West, Jonathan & Miles, Morgan P., 2016. "Testing innovation systems theory using Qualitative Comparative Analysis," Journal of Business Research, Elsevier, vol. 69(4), pages 1283-1287.
    27. 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.
    28. Hajli, M. Nick, 2014. "The role of social support on relationship quality and social commerce," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 17-27.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fernando Castelló-Sirvent & Pablo Pinazo-Dallenbach, 2021. "Corruption Shock in Mexico: fsQCA Analysis of Entrepreneurial Intention in University Students," Mathematics, MDPI, vol. 9(14), pages 1-31, July.
    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.

    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. McMorrow Jake & Esfahani Mona Seyed, 2021. "An Exploration into People’s Perception and Intention on using Cryptocurrencies," HOLISTICA – Journal of Business and Public Administration, Sciendo, vol. 12(2), pages 109-144, August.
    2. Chunling Li & Nosherwan Khaliq & Leslie Chinove & Usama Khaliq & József Popp & Judit Oláh, 2023. "Cryptocurrency Acceptance Model to Analyze Consumers’ Usage Intention: Evidence From Pakistan," SAGE Open, , vol. 13(1), pages 21582440231, March.
    3. 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.
    4. Georgios A. Panos & Tatja Karkkainen & Adele Atkinson, 2020. "Financial Literacy and Attitudes to Cryptocurrencies," Working Papers 2020_26, Business School - Economics, University of Glasgow.
    5. Chen, Xia & Miraz, Mahadi Hasan & Gazi, Md. Abu Issa & Rahaman, Md. Atikur & Habib, Md. Mamun & Hossain, Abu Ishaque, 2022. "Factors affecting cryptocurrency adoption in digital business transactions: The mediating role of customer satisfaction," Technology in Society, Elsevier, vol. 70(C).
    6. Jorge Andrés-Sánchez & Jaume Gené-Albesa, 2024. "Not with the bot! The relevance of trust to explain the acceptance of chatbots by insurance customers," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    7. Saeed Pahlevan Sharif & Ashraf Sadat Ahadzadeh & Jason James Turner, 2020. "Gender Differences in Financial Literacy and Financial Behaviour Among Young Adults: The Role of Parents and Information Seeking," Journal of Family and Economic Issues, Springer, vol. 41(4), pages 672-690, December.
    8. Trinh Quang Long & Peter J. Morgan & Naoyuki Yoshino, 2023. "Financial literacy, behavioral traits, and ePayment adoption and usage in Japan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-30, December.
    9. Azra Zaimovic & Anes Torlakovic & Almira Arnaut-Berilo & Tarik Zaimovic & Lejla Dedovic & Minela Nuhic Meskovic, 2023. "Mapping Financial Literacy: A Systematic Literature Review of Determinants and Recent Trends," Sustainability, MDPI, vol. 15(12), pages 1-30, June.
    10. Noviarini, Jelita & Coleman, Andrew & Roberts, Helen & Whiting, Rosalind H., 2023. "Financial literacy and retirees' resource allocation decisions in New Zealand," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    11. Lucía Muñoz-Pascual & Carla Curado & Jesús Galende, 2021. "Fuzzy Set Qualitative Comparative Analysis on the Adoption of Environmental Practices: Exploring Technological- and Human-Resource-Based Contributions," Mathematics, MDPI, vol. 9(13), pages 1-21, July.
    12. Talwar, Manish & Talwar, Shalini & Kaur, Puneet & Tripathy, Naliniprava & Dhir, Amandeep, 2021. "Has financial attitude impacted the trading activity of retail investors during the COVID-19 pandemic?," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    13. Rahman Ummeh Habiba Faria Benteh & Zafar Muhammad Khubaib, 2020. "Factors Influencing Uber Adoption In Bangladesh And Pakistan," Open Economics, De Gruyter, vol. 3(1), pages 86-97, January.
    14. Gerrans, Paul, 2021. "Undergraduate student financial education interventions: Medium term evidence of retention, decay, and confidence in financial literacy," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    15. Kenneth De Beckker & Kristof De Witte & Geert Van Campenhout, 2020. "The role of national culture in financial literacy: Cross‐country evidence," Journal of Consumer Affairs, Wiley Blackwell, vol. 54(3), pages 912-930, September.
    16. Baeckström, Ylva & Marsh, Ian W. & Silvester, Joanne, 2021. "Variations in investment advice provision: A study of financial advisors of millionaire investors," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 716-735.
    17. Luc Arrondel, 2018. "Financial Literacy and Asset Behaviour: Poor Education and Zero for Conduct?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(1), pages 144-160, March.
    18. Ammar AL-Ashmori & P. D. D. Dominic & Narinderjit Singh Sawaran Singh, 2022. "Items and Constructs of Blockchain Adoption in Software Development Industry: Experts Perspective," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    19. Antonio Molina-García & Julio Diéguez-Soto & M. Teresa Galache-Laza & Marta Campos-Valenzuela, 2023. "Financial literacy in SMEs: a bibliometric analysis and a systematic literature review of an emerging research field," Review of Managerial Science, Springer, vol. 17(3), pages 787-826, April.
    20. Manuel Salas‐Velasco & Dolores Moreno‐Herrero & José Sánchez‐Campillo, 2021. "Teaching financial education in schools and students' financial literacy: A cross‐country analysis with PISA data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4077-4103, July.

    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:gam:jmathe:v:9:y:2021:i:4:p:324-:d:494805. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.