Assessing Behavioural Intentions of Gen X – Y – Z in Cryptocurrency Investment Decision Making

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.

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Publication Details

Journal
Optimum Economic Studies
Published
2025-01-01
DOI
https://doi.org/10.15290/oes.2025.03.121.11
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing Behavioural Intentions of Gen X – Y – Z in Cryptocurrency Investment Decision Making

Iwona Soból, Łukasz Dopierała, Manuel Plum
Optimum Economic Studies
FinTech, Crowdfunding, Digital Finance
article

Assessing Behavioural Intentions of Gen X – Y – Z in Cryptocurrency Investment Decision Making

Iwona Soból, Łukasz Dopierała, Manuel Plum
article en

Abstract

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.

Optimum Economic Studies(3(121))
University of Gdańsk (PL)
Openalex Percentile: Top 48%
FinTech, Crowdfunding, Digital Finance
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Assessing Behavioural Intentions of Gen X – Y – Z in Cryptocurrency Investment Decision Making — Iwona Soból, Łukasz Dopierała, et al. · Optimum Economic Studies (2025) | TGRS Research Map | TGRS