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Tytuł: Assessing Behavioural Intentions of Gen X – Y – Z in Cryptocurrency Investment Decision Making
Autorzy: Plum, Manuel
Sobol, Iwona
Dopierała, Łukasz
Słowa kluczowe: behavioural intention
cryptocurrency
investment
structural equation modelling
Data wydania: 2025
Data dodania: 13-paź-2025
Wydawca: Wydawnictwo Uniwersytetu w Białymstoku
Źródło: Optimum. Economic Studies, Nr 3(121) 2025, s. 203-219
Abstrakt: Purpose | The purpose of this study is to examine the behavioural intentions of German private households with regard to cryptocurrency investments, with a particular focus on the ways in which these intentions vary across Generations X, Y, and Z. Research method | The study employs a quantitative methodology, using an online questionnaire distributed to a sample of 248 German respondents. A seven-point Likert scale was employed to gather data. The analysis employs a structural equation model to examine the influence of four dimensions – attitude towards the monetary system, subjective norms of wealth, perceived behavioural control of personal finances, and generation – on investment decision-making. Results | The key finding of this investigation is the demonstration of a statistically significant relationship between younger age cohorts (i.e., Y and Z) and an increased propensity to invest in cryptocurrencies, coupled with a notable susceptibility to social media influence relative to older age cohorts (i.e., X). Originality / value / implications / recommendations | The research offers new insights into the investment behaviour of different generations in a significant and rapidly ex-panding market segment within the German economy. The findings have implications for policymakers, financial institutions, and cryptocurrency exchanges in developing tailored strategies and regulations. Further research could examine the long-term implications of generational differences in cryptocurrency adoption on the German economy.
Afiliacja: Manuel Plum - University of Gdansk
Iwona Sobol - University of Gdansk
Łukasz Dopierała - University of Gdansk
E-mail: Manuel Plum: manuelplum@gmail.com
Iwona Sobol: iwona.sobol@ug.edu.pl
Łukasz Dopierała: lukasz.dopierala@ug.edu.pl
URI: http://hdl.handle.net/11320/19022
DOI: 10.15290/oes.2025.03.121.11
ISSN: 1506-7637
metadata.dc.identifier.orcid: 0009-0005-3960-8114
0000-0001-6398-6266
0000-0002-8515-7642
Typ Dokumentu: Article
Właściciel praw: © Copyright by Uniwersytet w Białymstoku
Występuje w kolekcji(ach):Optimum. Economic Studies, 2025, nr 3(121)

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