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- W3136272839 abstract "Entrepreneurial motivation has been a subject of numerous studies with the general understanding being that measuring aperson’s intent or motivation towards entrepreneurship is the best predictor of it occurring in future. (Carsrud & Brannback, 2011).Thepresent study is conducted to explain the probability of entrepreneurial motivation among university students based on certain extrinsicvariables that serve as indicators for the same. Logistic regression is a preferred methodology by researchers of social sciences due toits practical utility, less restrictive assumptions and the use of probabilities for predictions. This study was conducted to develop aprobability index for entrepreneurial motivation (EMI) among students pursuing their bachelors program (in varied disciplines) based onvariables that serve as indicators for the same. The study explores and examines the relationship between the response variable (Scorefor entrepreneurial motivation) and the explanatory variables concerning the same. This study results could lead to a betterunderstanding of how entrepreneurial aptitude can be encouraged and honed among students bearing in mind the effect of the predictorvariables. The study while providing important theoretical insights to the issue will also help policy makers, academicians and universitiesin assessing the potential for entrepreneurship in their areas in future." @default.
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- W3136272839 date "2012-09-01" @default.
- W3136272839 modified "2023-09-28" @default.
- W3136272839 title "A Binary Logistic Regression Model for Entrepreneurial Motivation Among University Students – A UAE Perspective" @default.
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