Abstract:
This study aims to provide a systematic investigation into the role and impact
of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in the
context of crowd funding. Utilizing a quantitative research approach, the study
employs surveys to collect data from participants engaged in crowd-funding
activities. The primary focus is on key UTAUT variables, including performance
expectancy, effort expectancy, social influence, facilitating conditions, attitude, and
behavioral intention. The survey responses are analyzed through regression analysis,
ANOVA, and correlation matrices to discern the relationships and collective
influence of these variables on crowd funding behavioral intention.
The Results of the study focus on the quantitative associations between
UTAUT model variables and their impact on crowd funding success. The regression
analysis provides coefficients and statistical significance for each variable, offering
insights into the magnitude and direction of their influence on behavioral intention.
The ANOVA results contribute to the understanding of the overall significance of the
model, while correlation matrices elucidate the interplay between variables.
The implications of this study are twofold. Firstly, it contributes to the
academic literature by extending the application of the UTAUT model to the
dynamic and evolving landscape of crowd funding. Secondly, the findings have
practical implications for crowd funding platform developers, marketers, and
policymakers, providing actionable insights to enhance user experiences and refine
strategies for optimal crowd funding outcomes. This research bridges the gap
between theoretical frameworks in technology acceptance and the unique
characteristics of crowd funding, paving the way for more informed and effective
practices in this rapidly growing domain.
