Open Access
The effect of task technology fit and entrepreneurship education on student’s entrepreneurship intention using the theory of planned behaviour
Author(s) -
Ria Rustiana,
OTHMAN MOHD,
Noorkartina Mohamad
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1869/1/012101
Subject(s) - entrepreneurship , theory of planned behavior , test (biology) , psychology , entrepreneurship education , curriculum , task (project management) , sample (material) , mathematics education , knowledge management , pedagogy , management , political science , computer science , control (management) , economics , paleontology , chemistry , chromatography , biology , law
Entrepreneurship has been proven in various researches in the world to help improve the welfare of society by creating jobs. Many universities in the world have adopted entrepreneurship in their curriculum designs in the form of entrepreneurship education. Besides, the technology fit task variable is also important in increasing student entrepreneurship intention. Therefore, research on entrepreneurship intention (EI) and the factors that influence it among students is very relevant. This study aims to fill the knowledge gap in the effect of task technology fit (TTF) and entrepreneurship education (EE) on entrepreneurship intention (EI) by using the theory of planned behavior (TPB) model. The research sample was 213 undergraduate students at one of the private universities in Yogyakarta selected by the Slovin method. Data were collected through a questionnaire shared with the student by MS Form. Regression analysis tools were used to test the research hypothesis. These results prove that H1, H3a, and H3b have a positive effect on EI with different levels of significance. Meanwhile, H2 has a negative influence on EI. This study has contributed to filling the knowledge gap that TTF and EE can be integrated into the TPB model.