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Bitcoin investment: a mixed methods study of investment motivations

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  • Jens Mattke
  • Christian Maier
  • Lea Reis
  • Tim Weitzel

Abstract

Bitcoin is a well-established blockchain-based cryptocurrency that has attracted a great deal of attention from media and regulators alike. While millions of individuals invest in bitcoin, their motivations for doing so are less clear than with traditional investment decisions. We argue that the technical nature of bitcoin investments gives it unique characteristics and, consequently, that we lack a thorough understanding of how this affects the motivations behind bitcoin investment. We use a mixed method approach consisting of qualitative (n = 73) and quantitative (n = 150) studies and fuzzy-set qualitative comparative analysis (fsQCA) to identify seven bitcoin-specific motivations (profit expectancy, ease of bitcoin acquisition, support of bitcoin ideology, investment skills, risk affinity, anticipated and experienced inaction regret) and how configurations of them explain bitcoin investment. The findings reveal, among others, that some individuals invest in bitcoin because they support the bitcoin ideology. Contrary to the traditional investment literature, profit expectancy is not a necessary condition to the extent that there is one empirical configuration of motivations that explains that individuals also invest in bitcoin even if they do not expect profits. The results disclose non-trivial investment motivation configurations and lay the groundwork for future studies of the role of cryptocurrencies in society.

Suggested Citation

  • Jens Mattke & Christian Maier & Lea Reis & Tim Weitzel, 2021. "Bitcoin investment: a mixed methods study of investment motivations," European Journal of Information Systems, Taylor & Francis Journals, vol. 30(3), pages 261-285, May.
    • Handle: RePEc:taf:tjisxx:v:30:y:2021:i:3:p:261-285
    DOI: 10.1080/0960085X.2020.1787109
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    Cited by:

    1. Pattnaik, Debidutta & Hassan, M. Kabir & Dsouza, Arun & Tiwari, Aviral & Devji, Shridev, 2023. "Ex-post facto analysis of cryptocurrency literature over a decade using bibliometric technique," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Cheuk Hang Au & Kevin K. W. Ho & Kris. M. Y. Law & Dickson K. W. Chiu, 2024. "Critical success factors of users’ continuous intention of adopting cryptocurrency exchanges: LAS-VICT principle," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-16, December.
    3. Michael Cary, 2024. "Herding and investor sentiment after the cryptocurrency crash: evidence from Twitter and natural language processing," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-23, December.
    4. Nils Brouwer & Jakob de Haan, 2024. "What Drives Households’ Knowledge about Cryptocurrencies?," Working Papers 799, DNB.
    5. Hwang Kim, 2024. "An empirical analysis of navigation behaviors across stock and cryptocurrency trading platforms: implications for targeting and segmentation strategies," Electronic Commerce Research, Springer, vol. 24(3), pages 2113-2141, September.
    6. Nani, Albi, 2023. "Valuing big data: An analysis of current regulations and proposal of frameworks," International Journal of Accounting Information Systems, Elsevier, vol. 51(C).
    7. Gabriel Mathy, 2023. "Eliminating Environmental Costs to Proof-of-Work-Based Cryptocurrencies: A Proposal," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 49(2), pages 206-220, April.
    8. Yongzhi Gong & Xiaofei Tang & En-Chung Chang, 2023. "Group norms and policy norms trigger different autonomous motivations for Chinese investors in cryptocurrency investment," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.

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