Entrepreneurial Orientation and Strategic Agility in VUCA Africa: Developing an Ambidextrous Strategic Emergence Model for FinTech organisations
Linda Magodlyo · Makumbe William · Emmanuel Mutambara ORCID ↗
International Journal of Business Ecosystem & Strategy · 2026 · Vol. 8 / Issue 5 · 35-46
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Observed 21 Oct 2026, 00:14 UTC
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Abstract
This conceptual theory-building study examines how African FinTech organisations navigate volatility, uncertainty, complexity and ambiguity (VUCA), using Mukuru as a paradigmatic single case. It develops the Mukuru Ambidextrous Strategic Emergence Model (MASEM) by integrating Entrepreneurial Orientation, Strategic Agility, Organisational Ambidexterity, Chaos Theory and Strategic Decision-Making Theory. Using secondary evidence, longitudinal organisational analysis and abductive cross-theoretical synthesis, the study explains how Mukuru combines exploitation of established remittance and agent-network capabilities with exploration of digital innovation. The analysis identifies multidexterity, the orchestration of multiple, potentially contradictory business models across heterogeneous regulatory settings, as a key capability linking strategic agility to sustained emergence. MASEM conceptualises VUCA pressures as external conditions, entrepreneurial and adaptive capabilities as the strategic core, responsible AI and green digital finance as enabling capabilities, and resilience, inclusion and antifragility as intended organisational outcomes. The model is conceptual rather than empirically validated; accordingly, future research should test its constructs and causal relationships across multiple African FinTech organisations. The study contributes an Africa-centred framework and practical guidance for managers seeking to align innovation, governance, sustainability and regulatory adaptability under persistent environmental turbulence.
Keywords: {'name': 'Emerging Organisations; VUCA Africa; Entrepreneurial Orientation; Strategic Agility; Organisational Ambidexterity; Multidexterity; FinTech; Artificial Intelligence; Green Sustainability.'}
Authors & affiliations
Linda Magodlyo
North-West University
Makumbe William
North-West University
Emmanuel Mutambara
North-West University
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