Navigating the green wave: Understanding behavioral antecedents of sustainable cryptocurrency investment
George Bogdan Drăgan,
Wissal Ben Arfi,
Victor Tiberius,
Aymen Ammari and
Tatiana Khvatova ()
Additional contact information
George Bogdan Drăgan: Dunărea de Jos University of Galați [Romania]
Wissal Ben Arfi: PSB - Paris School of Business - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université
Victor Tiberius: University of Potsdam = Universität Potsdam
Aymen Ammari: INSEEC - Institut des hautes études économiques et commerciales | School of Business and Economics
Tatiana Khvatova: EM - EMLyon Business School
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Abstract:
This study fills a void in the literature on the intention to invest in sustainable cryptocurrency. It examines the behavioral antecedents of individuals' decision making in this expanding financial industry. A mixed-methods approach that combines partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) is used to gain an understanding of the factors that lead to acceptance of sustainable cryptocurrencies and the obstacles to investing in them. This study is valuable for investors, policymakers, and managers in the digital currency business, providing practical insights and strategic implications. The study's findings underscore the relevance of regulatory frameworks and government assistance in fostering the adoption of sustainable cryptocurrencies. The study emphasizes the importance of customer trust and sustainability in influencing the adoption of sustainable cryptocurrencies. It advances the theory of sustainable finance, technology adoption, and behavioral economics. The study's limitations and recommendations for future research offer a path to further the understanding of this developing topic.
Keywords: fintech; Sustainability; blockchain; Cryptomonnaie (search for similar items in EconPapers)
Date: 2025-01-01
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Citations: View citations in EconPapers (1)
Published in Technological Forecasting and Social Change, 2025, 210, 17 p. ⟨10.1016/j.techfore.2024.123909⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04817940
DOI: 10.1016/j.techfore.2024.123909
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