Determination of drivers for investing in cryptocurrencies through a fuzzy full consistency method-Bonferroni (FUCOM-F’B) framework |
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| Affiliation: | 1. Department of International Trade and Finance, Faculty of Economics and Administrative Sciences, Afyon Kocatepe University, ANS Campus, 03030, Afyonkarahisar, Turkey;2. Department of Business Administrative, Faculty of Economics and Administrative Sciences, Afyon Kocatepe University, ANS Campus, 03030, Afyonkarahisar, Turkey;1. College of Economics and Management, Nanjing Forestry University, Nanjing, 210037, PR China;2. School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA, 70803-6202, USA;1. University of Auckland, New Zealand;2. University of New Brunswick, Canada;3. University of Tasmania, Australia;1. Department of Political Science, Hebrew University of Jerusalem and School of Political Science, University of Haifa, 199 Aba Khoushy Ave, Mount Carmel, Haifa, Israel;2. Fondazione Bruno Kessler (FBK), Via Sommarive 18, 38123 Trento, Italy;3. School of Political Science, University of Haifa, 199 Aba Khoushy Ave, Mount Carmel, Haifa, Israel;4. Department of Occupational Therapy, University of Haifa, 199 Aba Khoushy Ave, Mount Carmel, Haifa, Israel;5. Department of Psychology and Cognitive Science, University of Trento, Corso Bettini 31, 38068 Rovereto, Italy;1. Institute of Scientific Research and Graduate School, Universidad de Lima, Lima, Peru;2. Economics and Business Sciences Department, Universidade Autónoma de Lisboa, Lisboa, Portugal;3. , KEDGE Business School, Marseilles, France |
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| Abstract: | Cryptocurrencies have brought many innovations and discussions to economic life. Digital assets, which are very popular by investors, are frequently used for many purposes such as store of value, exchange, and speculation. It creates a research area that intentions cryptocurrency experts prioritize in crypto investments. In this paper, therefore, the fuzzy Full Consistency Method-Bonferroni (FUCOM-F’B) model is conducted to determine the priorities of drivers for investing in cryptocurrencies. The selected twenty-three drivers are classified based on five aspects, including functionality, financial, legal infrastructure, technology, and security. Based on the findings, “strong electronic encryption” and “use of digital signature” are the most significant drivers for preferring a cryptocurrency. A validation check is performed to verify the reliability, usefulness, and stability of the proposed approach. Further, the introduced approach allows taking the ambiguities and subjectivity into account which exist in the decision-making procedure. The suggested framework can be a helpful decision support tool for regulators, policymakers, practitioners, and cryptocurrency investors. |
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| Keywords: | Cryptocurrency Cryptocurrency investment intentions Investing drivers Fuzzy FUCOM Fuzzy sets |
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