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Role Salience and the Growth Intention of Women Entrepreneurs: Does Work-life Balance Make a Difference?

Published online by Cambridge University Press:  05 February 2021

Brownhilder Ngek Neneh*
Affiliation:
University of the Free State (South Africa)
*
Correspondence concerning this article should be addressed to Brownhilder Ngek Neneh. University of the Free State. Faculty of Economic and Management Sciences Business Management. 9300 Bloemfontein (South Africa). E-mail: brahilder@gmail.com
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Abstract

Work and family are two of the most competing and salient roles in the life of every individual. As such, individuals often make behavioral decisions based on the relative salience (work or family) they attach to these life roles. Given that growth intention is a vital behavioral choice in the life of an entrepreneur, this study examined how role salience influences the growth intentions of women entrepreneurs. Moreover, for most women entrepreneurs, their family domain is highly entwined with the business domain, and as such, having an adequate work-life balance is often a vital personal goal. Thus, this study also examined the influence of work-life balance on the growth intentions of the women entrepreneurs as well as its moderating effect of on the relationship between role salience and growth intentions. Based on self-reported data from women entrepreneurs (N = 300), the findings of this study using logistic regression analysis revealed that both work role salience (b = .88, p < .001) and work-life balance (b = .73, p < .001) have a positive effect on the growth intentions of women entrepreneurs. Additionally, work-life balance also moderated the relationship between work role salience and growth intention such that the positive association is strengthened at high levels of work-life balance (b = .90, p < .001). The study culminates with a discussion of the implications and suggestions for future research.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid
Figure 0

Figure 1. Proposed Model

Figure 1

Table 1. Descriptive Data, Reliability and Convergent Validity

Figure 2

Table 2. Correlations and Discriminant Validity

Figure 3

Table 3. Logistic Regression with Growth Intentions as the Dependent Variable

Figure 4

Figure 2. Moderating Effect of WLB of the WS-Growth Intentions Relationship.Note. This is a plot of a binary logistic regression, the slope is not linear which is why the line is not a straight? As explained by Edgar and Manz (2017), a probability curve on a binary scale should be sigmoid shaped (s-shaped) and mathematically constrained between 0 and 1, which the logistic regression model provides.