Exploring the Interplay of Variables in Cryptocurrency Investment Behavior: A Gender- Moderated Analysis Using the Theory of Planned Behavior and PLS SEM

Abstract

This research employs gender as a moderating variable to investigate the psychological and social factors that influence bitcoin investing behavior. The research combines the Theory of Planned Behavior (TPB) with PLS-SEM.384 respondents answered Likert-scale questions on feeling overconfident, impulsive, risk-tolerant, subjective norms, perceived behavioral control, copying others, and investing behavior.   In order to do this, we use a quantitative approach.

A stratified random sample will be used to include both genders in a moderation study.                                                                                                                              

To verify the study model and examine the data for errors and correlations, we used AMOS  and SPSS.           

The findings show that perceived behavioral control, subjective norms, and impulsivity, and bitcoin investing behavior are all highly positively correlated. Additionally, these relationships were discovered to be profoundly moderated by gender, indicating profound differences in the way men and women respond to social and psychological factors when making investment choices. The implications are that gender-sensitive approaches must be used when formulating policies, designing bitcoin platforms, and providing financial counseling. With real-world implications for investors who want to encourage good and inclusive investing practice, this study adds depth to our understanding of how demographic and psychological drivers engage to influence investment behavior in the constantly changing digital finance landscape.