The Factors Affecting Entrepreneurship Intention

Herdjiono, Irine; Maulany, Gerzon; Aldy, Benedictus Elnath

doi:10.37335/ijek.v5i2.55

Cited by 31 publications

(35 citation statements)

References 12 publications

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“…Indeed, Masten (2018) noted that the family is the first social group in human life that initially has a deep influence on children. This study also strengthens Farrukh et al (2017), who mentioned that family factors influence students' interest in entrepreneurship, and Herdjiono et al (2017) prove that there is a significant influence between the family environment and engagement through education on the interest in entrepreneurship.…”

Section: Discussionsupporting

confidence: 80%

Family economic education, peer groups and students’ entrepreneurial intention: the mediating role of economic literacy

Suratno

Narmaditya

Wibowo

2021

Heliyon

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Stimulating potential entrepreneurs is a global challenge and policymakers need to understand factors affecting students' entrepreneurial intention. The growing body of literature has focused on the impact of entrepreneurship education and entrepreneurial intention, while this study aims to explore other predicted factors affecting students' entrepreneurial intention, such as family economic education, peer groups, and economic literacy. This study adopted a quantitative method using a survey approach to obtain comprehensive findings. The research involved online questionnaires to approximately 1000 students undergoing convenience sampling in a university in Indonesia as participants. The results indicated that both family economic education and peer groups positively correlate with economic literacy and students' entrepreneurial intention. These results confirmed a crucial role of economic literacy that government and educational institutions can consider to stimulate students' entrepreneurial intention. This study also contributes to the educational sector and governments to facilitate the creation of student-working groups in entrepreneurship as an attempt to encourage students' engagement.

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Section: Discussionsupporting

confidence: 80%

Family economic education, peer groups and students’ entrepreneurial intention: the mediating role of economic literacy

Suratno

Narmaditya

Wibowo

2021

Heliyon

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“…It means that they are a job seeker instead of a job creator. Only few of them think to create self-employment or become entrepreneur due to lack of confidence in their skill and capital [21]. Other researchers pointed out that an individual with higher tolerance for risk and less aversion to work effort should be expected to be more likely to engage in entrepreneurial behavior [3,5,11].…”

Section: Introductionmentioning

confidence: 99%

“…Scholars are trying to identify the contributing risk factors of student's entrepreneurial intention for their future career. The willingness in becoming entrepreneurship are determined by some other factors such as family, motivation, risk taking propensity or the courage to take a risk, and self-concept as individual factor [4,21,44]. Family environment and all conditions within its family including how parents educate, family member's relation, house condition, family's financial condition, parents understanding, and cultural background will support, guide, and encourage children to their future life.…”

Section: Introductionmentioning

confidence: 99%

Bayesian hierarchical analyses for entrepreneurial intention of students

Ayalew

2020

J Big Data

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In recent years, entrepreneurship has become an important issue due to national economic development and the contribution of society. Data with a hierarchical structure received more attention and occur frequently in social science, public health and epidemiological researches. In such research, binary outcomes are common. Multilevel logistic regression models allow one to account for the clustering of subjects within clusters of higher-level units when estimating the effect of subject and cluster characteristics on subject outcomes. Traditional logistic regression is inappropriate when data are hierarchically structured. Therefore, this study presents multi-level Bayesian logistic analysis for entrepreneurial intention of students using classical and Bayesian approach. The descriptive result revealed that about 57.4% of the students had an entrepreneurial intention while 42.6% do not have an intention. The results also showed that entrepreneurial education/training and entrepreneurial attitudes significantly predicts students' entrepreneurial intention at 5% level of significance. The model results indicate that the effects of the selected variable on entrepreneurial intention vary across university. By failing to take into account the clustering within university (level 2), Bayesian multilevel effects are not taken into consideration in modeling, the β coefficients in multilevel logistic model using classical approach are distorted somewhat in both directions either in over or under direction. This study also evaluates and compares the behavior of maximum likelihood and Bayesian estimators to investigate the relationship between covariates and the response. Both point and interval estimation performances were investigated. The results revealed that lower standard errors of the estimated coefficients in the Bayesian logistic regression approach as compared to classical approach. Moreover, the results revealed that the length of the Bayesian credible interval is smaller than the length of the maximum likelihood confidence interval for all factors. In order to identify the most plausible method between Bayesian method and maximum likelihood estimation of the data, AIC, BIC and DIC are adopted in this paper. The result of the study depicts that the Bayesian method performs better and more efficient than maximum likelihood estimation. The study recommends that the government as well as the universities should design programs that facilitate entrepreneurship to change the mindset, attitude, and intention of those students who do not have knowhow about entrepreneurship as a future career.

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“…Armstrong (2010) explains motivation as a factor which influences an employee's behaviour. It emphasises that employees are willing to work voluntarily with the right motivation more than expected (Herdjiono et al, 2017). According to Rahman et al (2013) 'motivation is a factor that is considered not only among employers but also among employees as a black box, referred to as a phenomenon involved in the operation of stimuli -or incentives and urges'.…”

Section: Motivation In Personnel Managementmentioning

confidence: 99%