Introduction: The present study aimed to investigate the role of environmental-situational factors in predicting the inclination towards entrepreneurship among students.
Research Method: The present research is applied and quantitative. The target population was sports science students at universities in Tehran and the sample size was determined to be 384 people. In this research, a questionnaire tool was used. To estimate the roles and evaluate the model, the Perceptron neural network method was employed.
Findings: After normalizing the data and dividing it into two training and testing sets, a structural model was implemented including two hidden layers with 100 and 50 neurons. The results of the evaluation using accuracy measurement criteria showed that the model was able to explain approximately 51% of the variance of the dependent variable with moderate accuracy. Although the dispersion of the data is relatively high, the general patterns are correctly identified. According to the findings, the economic-political situation is the most influential variable, followed by the social and cultural situation, followed by the infrastructure and technology and innovation situation, support for entrepreneurship, laws and regulations, educational status, individual income status, and finally the financial resources situation, which have shown a lesser impact in predicting the tendency to be an entrepreneur.
Conclusion: The results of this research have shown that economic-political factors as well as social-cultural factors, as environmental dimensions, have a high impact on individuals' inclination towards entrepreneurship. Accordingly, the suggestions of this research are presented in two sections: practical suggestions and future research.