From SWOT to SWOT-R: The Strategic Reversibility Framework
DOI :
https://doi.org/10.71420/ijref.v3i5.9Mots-clés :
SWOT analysis, Strategic reversibility, Dynamic strategy, Competitive advantage, Environmental volatilityRésumé
This article revisits SWOT analysis by questioning one of its implicit assumptions: the stability of strategic categories over time. Although SWOT remains one of the most widely used strategic frameworks, existing approaches insufficiently account for the possibility that strategic factors may invert their meaning in volatile environments. Traditional SWOT frameworks tend to treat strengths, weaknesses, opportunities, and threats as relatively fixed and directionally stable attributes. However, contemporary environments characterized by volatility, digital acceleration, and reputational instability increasingly expose the reversible nature of strategic positions. Strengths may rapidly become liabilities, weaknesses may generate adaptive advantages, and opportunities may evolve into threats. To address this conceptual limitation, the article adopts a conceptual and theoretical approach grounded in the strategic management literature on environmental turbulence, dynamic capabilities, strategic agility, and temporary advantage. It introduces the concept of strategic reversibility and proposes the SWOT-R framework, an extension of traditional SWOT analysis that incorporates the potential inversion of strategic value over time. Rather than replacing SWOT, SWOT-R reframes it as a dynamic evaluative and decision-support tool better suited to fluid competitive environments. The article contributes theoretically by conceptualizing strategic reversibility as a distinct analytical dimension and by extending SWOT beyond static categorization toward temporal and contextual instability. From a managerial perspective, SWOT-R encourages organizations to anticipate possible strategic reversals, identify hidden vulnerabilities, and evaluate the long-term instability of strategic positions in digitally mediated environments.
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© Yasmine Lebbadi 2026

Ce travail est disponible sous licence Creative Commons Attribution - Pas d'Utilisation Commerciale - Pas de Modification 4.0 International.




