Parental and Gender Effects on the Entrepreneurial Intention of University Students in South Africa

Fatoki, Olawale

doi:10.5901/mjss.2014.v5n7p157

Cited by 18 publications

(16 citation statements)

References 21 publications

(14 reference statements)

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“…Related with the interest in doing entrepreneurship, family environment with every conditions within it including how parents educate, relationship between family members, house situation, parents understanding, and cultural background will guide and encourage students in doing entrepreneurship. The results of this study is consistent with the results of the research conducted by (Lindquist et al, 2015, Fatoki, 2014, which states that the parent's support such as support for entrepreneurship activities can affect student interest in doing entrepreneurship. This study also inline with (Ozaralli and Rivenburgh, 2016;Liñán et al 2005;Mueller 2006) that conclude parental role modeling to be a significant familial factor on entrepreneurial intention.…”

Section: Discussion a Influence Of Family Environment (X1) On The Insupporting

confidence: 90%

The Factors Affecting Entrepreneurship Intention

Herdjiono

Maulany

Aldy

2017

IJEK

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This research examined the effects of family environment, self concept, motivation and risk taking propensity on entrepreneurship intention in Merauke, the border area of Indonesia. Conducted by collecting data from 382 college student through questionnaire. This study applied linear regression analysis. The results showed family environment, self concept, motivation and risk taking propensity significantly affected entrepreneurship intention. The study implies that individual factor such as self-concept, motivation, and risk taking propensity together with social factor, family environment affect entrepreneurial intention.

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Section: Discussion a Influence Of Family Environment (X1) On The Insupporting

confidence: 90%

The Factors Affecting Entrepreneurship Intention

Herdjiono

Maulany

Aldy

2017

IJEK

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“…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. This is consistent with a research done by Lindquist et al [29], Fatoki [13] whom states that family environment gives positive influence on the willingness in entrepreneurship. Social factors have also an encouraging or impeding effect on the intention of individuals for entrepreneurial career.…”

Section: Introductionsupporting

confidence: 92%

“…Based on entrepreneurship training/courses, 59.77% of the students who took entrepreneurship and businessrelated courses/training do have entrepreneurial intentions. Those respondents who(13) AIC = −2/n(LL) + 2k/n (14) BIC = −2LL + ln (n) * k (15) DIC = −2LL + Cmade networks with entrepreneurs (61.81%) have intentions to start business in their future careers. The distribution of student's family occupation is also different in terms of entrepreneurial intention.…”

mentioning

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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“…The article is in line with other research that is based on surveys of university students (Fatoki, 2014;Udofia & Essien, 2013;Yasin, Mahmood, & Jaafar, 2011;Zellweger, Sieger, & Halter, 2011;Zhao, Seibert, & Hills, 2005), but gives greater emphasis to how expectations and aspirations about the labor market are related to aspirations and expectations in the family field.…”

Section: Introductionsupporting

confidence: 83%

Gender Norms and Other Factors Explaining the Gender Gap in Students’ Entrepreneurial Inclination in Spain and Iceland

Fernández‐Cornejo¹,

Mangas²,

Pozo-García³

et al. 2018

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Young women still have a lower entrepreneurial inclination (EI) than young men in both a Latin society (Spain) and in a Nordic society (Iceland). Our data come from a survey conducted among university students who attended the Complutense University of Madrid and the University of Iceland. After constructing a set of variables and indicators that served as explanatory variables, and after conducting a statistical and regression analysis, this study provides evidence about the determinants of this gender gap in EI. The EI of male students was more sensitive to having higher self-confidence than in the case of female students. In turn, the EI of female students was more sensitive to both positive (enrichment) and negative (conflict) perspectives about the work-family interface than in the case of males. Additionally, the EI of students was positively related with entrepreneurial family antecedents, and with the level of parental income; and it was negatively related with their tolerance for risk. Some cross-cultural differences were also found between the Spanish and Icelandic samples.

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Parental and Gender Effects on the Entrepreneurial Intention of University Students in South Africa

Cited by 18 publications

References 21 publications

The Factors Affecting Entrepreneurship Intention

The Factors Affecting Entrepreneurship Intention

Bayesian hierarchical analyses for entrepreneurial intention of students

Gender Norms and Other Factors Explaining the Gender Gap in Students’ Entrepreneurial Inclination in Spain and Iceland

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