2022
DOI: 10.1016/j.jbusvent.2021.106185
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Now that's interesting and important! Moving beyond averages to increase the inferential value of empirical findings in entrepreneurship research

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Cited by 31 publications
(12 citation statements)
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“…We show how configuration approaches, centring on non-linearity and equifinality, could be modelled with decision trees. In this way, we deviate from the not-so-useful concept of ‘average entrepreneur’, as argued by Newbert et al, ( 2022 :4), and model more realistic realities using complex configurations necessary to understand the phenomena (Woodside, 2014 ). The RE-EM trees, an extension of the decision trees, consider the relationship between independent and dependent variables to be not necessarily linear, enabling the capture of more complex relationships, whilst regression-based approaches fail to do that by centring on net effects instead of differences between groups (Douglas et al, 2020 ).…”
Section: Discussionmentioning
confidence: 96%
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“…We show how configuration approaches, centring on non-linearity and equifinality, could be modelled with decision trees. In this way, we deviate from the not-so-useful concept of ‘average entrepreneur’, as argued by Newbert et al, ( 2022 :4), and model more realistic realities using complex configurations necessary to understand the phenomena (Woodside, 2014 ). The RE-EM trees, an extension of the decision trees, consider the relationship between independent and dependent variables to be not necessarily linear, enabling the capture of more complex relationships, whilst regression-based approaches fail to do that by centring on net effects instead of differences between groups (Douglas et al, 2020 ).…”
Section: Discussionmentioning
confidence: 96%
“…It supports the notion that ‘variables found to be positively related in one configuration may be unrelated or even inversely related in another’ (Meyer et al, 1993 : 1178). In this way, we can deviate from the not-so-useful concept of ‘average entrepreneur’, as discussed in Newbert et al, ( 2022 :4) and enable modelling realities using complex configurations that are necessary to understand the phenomena (Woodside, 2014 ).…”
Section: Configurational Approachesmentioning
confidence: 99%
“…There was no significant moderation found, but interaction coefficients can be quite complex. Upon a closer look at this estimate and the examination of how the impact of presence of GIC varies both during and outside ET, it is possible to uncover evidence that the moderation is statistically significant for example when GIC is low and environmental turbulence is high or vice versa (Newbert et al. , 2022).…”
Section: Discussionmentioning
confidence: 99%
“…Failing to consider heterogeneity and, as a consequence, nonlinearity creates several problems, and can hinder our understanding of a phenomena rather than improving it (Jacoby, 2002). Focusing on the average effect of the predictor variables on an outcome can hide the existence of different relationships in sample sub-groups (Newbert et al, 2022). Even though a regression model might show a significant positive or negative relationship, the opposite, or no relationship at all, could be present in sub-groups (Woodside, 2014).…”
Section: Social Cognitive Determinants Of Entrepreneurshipmentioning
confidence: 99%
“…In these cases, a greater contribution could be made by showing this heterogeneity. Moreover, the use of more complex modelling techniques such as structural equation modelling (SEM), and the inclusion of more complex specifications including controls and moderators also do not permit a comprehensive analysis of sample heterogeneity (Newbert et al, 2022). Speaking from the perspective of complexity theory, Woodside (2014Woodside ( , p. 2495) therefore proposes the 'necessity of modelling multiple realities using complex antecedent configurations', whilst Newbert et al (2022, p. 4) cautions against a focus on analysing the 'average entrepreneur'.…”
Section: Social Cognitive Determinants Of Entrepreneurshipmentioning
confidence: 99%