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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.

The motor vehicle assembly industry is crucial for industrial development, job creation, and economic growth. However, Kenya’s motor vehicle sector has seen a decline in local market share, revenue, and competitiveness due to strategic stagnation, weak innovation, and operational inefficiencies. This study therefore examined the effect of competitor elimination strategy on the performance of motor vehicle assemblers in Kenya. The study was anchored on the Resource-Based View (RBV) theory. It adopted a descriptive and explanatory design. The target population comprised all 21 licensed and operational motor vehicle assembly firms in Kenya and the 202 employees directly involved in strategy and operations at three management levels across these firms. A census approach was used, and primary data were collected using a semi-structured questionnaire. Three firms were purposively used for the instrument pretest, after which the main study was conducted among the remaining 18 firms. Construct validity was assessed through factor analysis, and reliability was assessed using Cronbach’s Alpha (≥ 0.70). Descriptive statistics provided foundational insights, while inferential analysis included Pearson’s Product-Moment Correlation and simple linear regression; thematic analysis was used for the qualitative data. The study found that competitor elimination strategy had a positive and statistically significant effect on the organisational performance of motor vehicle assemblers in Kenya (R² = 0.340, β = 0.451, p = 0.000). Policymakers in Kenya should promote innovation, product differentiation, and strategic positioning through R&D incentives, first-mover support, and cross-industry collaboration to enable effective competitor elimination. Motor vehicle assemblers should implement product bundling, differentiated offerings, strategic alliances, and innovation initiatives to create unique market space, reduce direct competition, attract new customers, increase market share, and enhance overall performance and sustainability. This study provides insights to guide strategic innovation and competitiveness in Kenya’s motor vehicle assembly industry, contributing to the realisation of the Sustainable Development Goals, Africa’s Agenda 2063, and Kenya Vision 2030.

Business Model Innovation (BMI) has been widely recognised by management scholars as a significant approach to analyse complex organisational issues and address challenges in volatile business contexts.  Small and Medium Enterprises (SMEs) operating in highly turbulent business environments struggle to be viable. Hence, the need to adopt appropriate business models to ensure resilient and viability. This study sought to examine the influence of BMIs on the ability of SMEs in developing nations to withstand and recover from challenges posed by unstable business environments. This study uses a quantitative approach, with a cross-sectional survey to collect empirical evidence from 327 SMEs selected through quota sampling.  Using Structural Equation Modeling (SEM) method, results of the study reveal that BMI has a positive impact on the resilience of SMEs. The findings demonstrated that implementing innovative modifications in the business model, namely value creation, value capture, and value proposition positively influence the resilience of SMEs. The study concludes that implementing innovative business models contributes to the development of resilience among SMEs in emerging economies. This paper is relevant to SMEs operating in developing economies as well as those in volatile business environments.