The aim of this study is to present a model of factors affecting investors' intention to participate in crowdfunding projects and is mixed in terms of methodology. In the qualitative part, data were collected through interviews with 14 experts and specialists in the field under study and analyzed using the content analysis method and ATLAS.ti software, which resulted in the extraction of 14 main themes and 46 sub-themes. Next, in the quantitative part, by designing a questionnaire and collecting 200 samples of active investors, the proposed model was tested using structural equation modeling using Smart Pls software. The research findings showed that all identified factors, including motivation and desire, trust, risk perception, familiarity and recognition, altruism, financial and information resources available, shared values, network size, innovation and quality of the project, rate of return, geographical location, expertise and experience of the project owners, and product or service characteristics, have a positive and significant effect on investing in crowdfunding. The results also indicate that investor behavior in this area is influenced by a combination of economic, social, and psychological factors and is not limited to financial dimensions. Finally, the conceptual framework presented in this study can be used as a practical basis for improving the performance of crowdfunding platforms, enhancing investors' decision-making processes, and increasing the success of entrepreneurial projects.