Predicting viability of small businesses on the edge of failure

Article Date: 2024 (audits 2011–2019)
Article URL: https://www.tandfonline.com/doi/full/10.1080/00472778.2024.2435506?af=R
Article Image: (none provided)

Summary

This paper evaluates 520 Dutch viability audits (2011–2019) of small businesses in financial distress and shows that traditional financial ratios lose predictive power once firms are already distressed. By integrating firm dynamics, managerial control and — crucially — entrepreneurial characteristics (behavioural, relational and psychological), the authors build models that better discriminate which firms survive three years after audit.

Key results: the baseline financial-only model performs no better than chance (AUC 0.515). A model based on entrepreneurial variables reaches AUC 0.651. A combined model mixing significant non-financial predictors plus firm age and the Z” score achieves acceptable predictive quality (AUC 0.706). Important predictors include distressing market outlook, recovery from investment issues, distressing personal risk issues (entrepreneurial), and firm age (>6 years offers resilience).

Key Points

Sample: 520 Dutch small businesses in financial distress (Bbz programme audits, 2011–2019).
Financial ratios alone are weak predictors for firms already distressed (baseline AUC 0.515).
Entrepreneurial characteristics (persistence, personal risk issues, debt, networks) materially improve predictive power (entrepreneurial model AUC 0.651).
The best performing model combined non-financial predictors with firm age and produced AUC 0.706 — an acceptable prediction level for this context.
Auditors judged 76% of firms labelled viable still active after three years, but 52% of those judged non-viable also survived — suggesting resilience is often underestimated.
Firm age (>6 years) correlates with greater survival, likely via accumulated managerial competence, networks and psychological coping.

Context and relevance

The study merges SME failure prediction, turnaround literature and entrepreneurial resilience to argue for dynamic, context-aware viability models. It is especially relevant to lenders, advisors, policymakers and practitioners who need to decide which struggling small firms deserve rescue, restructuring or exit support. The findings question reliance on historic financial ratios during crises (e.g. post-2008, COVID) and push for measuring the entrepreneur as part of credit and support decisions.

Why should I read this?

Short and honest: if you make calls on loans, grants or rescue packages for small firms, this paper tells you that number-crunching alone will let a lot of tough-but-resilient businesses slip through — and may keep some zombies alive. It shows which non-financial signals actually help separate likely survivors from likely failers.

Author’s take (punchy)

Punchy and practical: the author(s) demonstrate that entrepreneurial resilience is no fringe factor — it shifts predictive performance. For anyone designing assessment tools or policy, this is a strong nudge to build qualitative, time-aware indicators into decision frameworks.

Practical implications

Recommendations include integrating measures of managerial control and entrepreneurial resilience into lender and advisor assessment frameworks, expanding entrepreneurial education to cover personal resilience and turnaround decision-making, and policy designs that recognise the social value of targeted restructuring support.

Limitations and next steps

Findings come from the Dutch context and viability audits; results may vary cross-country. The study calls for better operational measures of entrepreneurial resilience, mixed-method research to capture subjective factors, and replication in other jurisdictions with comparable restructuring data.

Source

Source: https://www.tandfonline.com/doi/full/10.1080/00472778.2024.2435506?af=R