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Towards Reliable Resilience Metrics in Corporate Settings: Content Validity Considerations Cover

Towards Reliable Resilience Metrics in Corporate Settings: Content Validity Considerations

By:   
Open Access
|May 2026

Abstract

Background

Firm resilience is a critical concept for organisations aiming to navigate disruptions effectively, yet its translation into regularly applicable metrics remains underdeveloped. Thus, existing frameworks often lack systematic validation and fail to capture resilience’s dynamic nature across various disruptions, hindering managers’ confident implementation of resilience strategies.

Objectives

This study aims to identify a content-valid and practical metric for measuring firm resilience, applicable across diverse firm contexts and disruptions.

Approach

The research evaluates and compares existing metrics, based on their alignment with a newly proposed axiom system, to identify the most suitable measure for assessing firm resilience in post-disruption contexts.

Results

The metric assessment revealed that the Dominance axiom posed the greatest challenge, with only two metrics fully satisfying the requirement. The semi-quantitative Likert scales encountered further issues with the Operationalisation axiom because of their unsettled interpretation as either ordinal or interval scales, a problem not observed with purely quantitative metrics.

Conclusions

The BRAVE metric emerged as the most reliable for evaluating firm resilience, owing to its flexibility in accommodating varying time horizons. Future research should test the metric in real-world settings and explore potential simplifications or additional axioms to refine the resilience measurement framework.

DOI: https://doi.org/10.2478/bsrj-2026-0004 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 57 - 76
Submitted on: Dec 14, 2024
Accepted on: Sep 5, 2025
Published on: May 10, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2026 Enrico Schötz, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.