SENSITIVITY ANALYSIS: FACTORS DICHOTOMY TO INFLUENCING THE STUDENTS ENTREPRENEURIAL INTENTION

Abstract

This empirical research looked at EFA and CFA together to see how well they can reduce the number of predictors for student entrepreneurs' intentions and stay on important variables. Previous studies have shown that using AMOS to lower the dimensionality of the input space in ANN models can significantly speed up the training process and enhance the models' accuracy, which prompted the current investigation. The goal is to analyses students' intention for start-up by determining the best data collecting and training model at the lowest possible cost. The campus of University of Lucknow served as the survey's focal point. Entrepreneurship is recognized as a behaviour pattern that may be moulded through formal education by policymakers and educational programme designers working together (Henry et al., 2005). National economic growth, employment, and productivity could all improve if more aspiring business owners were recognized and supported at every stage of their education (Gerry et al., 2008). Hence, it is imperative to conduct a comprehensive investigation into the entrepreneurial intentions of students with aim to find best effective factor.

“The motivation behind this study stems from the lack of clarity on the factors that influence individuals to engage in entrepreneurship. Specifically, it remains uncertain whether individuals are inherently inclined towards entrepreneurship, compelled by external circumstances, or if a mix of several qualities plays a more significant role