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Item Financial soundness and operational efficiency of Islamic banks in Sub-Saharan Africa: evidence from a bias-corrected DEA and panel regression framework(Emerald Publishing., 2026) Njogo, Michael Njoroge.; Dallu, Abdallah Mambo.; Korir, Fiona Jepkosgei.Purpose This study examined the effect of financial soundness on the operational efficiency of Islamic banks operating in Sub-Saharan Africa (SSA), a region characterized by emerging Islamic banking systems and constraints. It focused on how capital adequacy, asset quality, earnings quality and liquidity management influence efficiency outcomes. Design/methodology/approach The study applies a Simar–Wilson two-stage data envelopment analysis framework to a balanced panel of 35 fully-fledged Islamic banks in SSA from 2010 to 2024. Bias-corrected efficiency scores are estimated under variable returns to scale and subsequently analyzed using a panel regression framework with two-way fixed effects and robust standard errors to control for unobserved heterogeneity across banks and time. Findings The findings revealed a heterogeneous relationship between financial soundness and operational efficiency: asset quality was positively and significantly associated with efficiency, whereas earnings quality exhibited a negative relationship, indicating a profitability–efficiency trade-off. Capital adequacy showed no direct effect, while liquidity management demonstrated a weak and context-dependent influence. Practical implications The analysis is limited to fully-fledged Islamic banks with complete data. The findings suggest that regulators and managers should prioritize asset quality improvement and efficiency-oriented strategies over balance-sheet expansion. Originality/value The study provides one of the first ever comprehensive, bias-corrected DEA empirical assessments of operational efficiency in Sub-Saharan Africa in Islamic banking. By distinguishing operational efficiency from traditional profitability measures, it challenges the assumption that improved financial soundness inherently enhances efficiency in emerging Islamic banking markets.Item Scale efficiency and technical efficiency in Islamic banks: Evidence from Sub-Saharan Africa(SSBFNET, 2026) Njogo, Michael Njoroge.; Korir, Fiona Jepkosgei.; Dallu,Abdallah Mambo.Abstract This study investigates whether inefficiencies in Islamic banking in Sub-Saharan Africa (SSA) are primarily driven by managerial limitations or by suboptimal scale of operations. While existing studies largely report aggregate efficiency scores, limited attention has been given to decomposing efficiency into its underlying components in emerging Islamic banking systems, particularly within the SSA context. The study employs a balanced panel of 35 fully fledged Islamic banks operating in SSA over the period 2010–2024. Operational efficiency is estimated using a bias-corrected Data Envelopment Analysis (DEA) model under an input-oriented Variable Returns to Scale (VRS) framework. To enhance statistical reliability, the Simar–Wilson bootstrap procedure with 2,000 replications is applied. Efficiency scores are decomposed into pure technical efficiency and scale efficiency to distinguish between managerial inefficiencies and structural scale constraints. The results indicate that overall efficiency levels remain low, with inefficiencies largely driven by scale factors rather than managerial performance. A significant proportion of banks operate under increasing returns to scale, suggesting suboptimal size linked to structural constraints such as limited market depth, fragmented regulatory environments, and underdeveloped financial infrastructure. Although pure technical efficiency shows moderate improvement over time, managerial gains are insufficient to offset these systemic limitations. The findings highlight the need for regulatory harmonization, market integration, and strategic expansion or consolidation to enable Islamic banks to achieve optimal scale and improve operational efficiency in SSA. This study provides one of the first comprehensive efficiency decomposition analyses of Islamic banks in SSA using bias-corrected DEA, offering new insights into the relative importance of structural versus managerial sources of inefficiency in emerging financial systems.