Abstract

Background: In South Africa, entrepreneurship literature demonstrates that three out of four businesses collapse within 3 years of their inception. A plethora of research effort identifies factors such as the lack of finance and access to markets as the leading causes for the high attrition rates amongst emerging businesses. This study finds the narrative to be limiting and inadequate as it does not address the possible gap between entrepreneurs’ expectations and their realities of managing their businesses. Aim: To present the entrepreneurship gaps framework (EGF), an early-stage business diagnostic tool that seeks to assess entrepreneurs’ preparedness. Setting: This study focused on emerging entrepreneurs operating within the limits of developing economies. The framework can be used by emerging entrepreneurs, capacity development institutions and lenders. Methods: A descriptive research design supported by a mixed-method research approach was employed. This was coupled by a two-phase data collection procedure which took place within Limpopo province with 215 participants. Explorative data analysis based on discrete choice models was further implemented. Results: Findings on the EGF illustrated the ability of the framework to act as a more comprehensive diagnostic mechanism that improves early-stage entrepreneurship survival. Conclusion: Entrepreneurship gaps framework is a decision-making tool that can be used by lenders and capacity development institutions to evaluate the emerging entrepreneur with respect to specific areas of business. This results in the necessary support for improving entrepreneur preparedness being provided to entrepreneurs. Secondly, entrepreneurs are likely to benefit from the EGF, if used as a self-diagnostic tool to measure their business preparedness and experience.

Highlights

  • The existing narratives on early- or formative-stage business failure are misleading, and at best, impoverished

  • The results presented are derived from Phase 2 data collection in line with testing the model

  • Elastic net regression was used to prevent overfitting through shrinkage methods of Ridge and Lasso, resultantly providing meaningful data for predictions (Hastie, Tibshirani & Wainwright 2015)

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Summary

Introduction

The existing narratives on early- or formative-stage business failure are misleading, and at best, impoverished. In a multitude of theses, journal articles and case studies, the cliché ‘3-out-of-4 businesses collapse within three years’ is almost always followed by recommendations such as, amongst others: (1) government must improve the access to new markets for Small and Medium Enterprises (SMEs) and (2) banks ought to be more business-friendly (Adonisi & Van Wyk 2012; Chinomona & Maziriri 2015; Lekhanya 2016; Luiz & Martine 2011; Secundo et al 2017) Whilst this at times is correct, this article argues that this perspective is too limiting and inadequate in providing a more holistic account of early-stage business failure.

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