Browsing by Author "Ondabu, Ibrahim Tirimba."

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Agri-insurance financing and the resilience of smallholder farmers in Nakuru County, Kenya
(African Development Finance Journal, 2025) Ondabu, Ibrahim Tirimba.; Abdi, Hassan Abdullahi.
Agricultural insurance has increasingly become a critical tool for stabilizing smallholder farmers’ livelihoods, particularly in regions affected by climate variability and market shocks. This paper examines the influence of Agri-insurance financing on the productivity and resilience of smallholder farmers in Nakuru County. Using a descriptive quantitative design and data from 272 respondents, findings show that insurance significantly enhances productivity (β = .258, p < .001) by reducing farmers’ risk exposure, strengthening investment confidence, and promoting adoption of new technologies. Despite high awareness levels, insurance uptake remains low due to unaffordable premiums, low trust in insurers, and limited experience with claim processing. The study recommends subsidized index-based insurance, bundling insurance with credit and inputs, digital claim-processing mechanisms, and cooperative-based outreach.
Agricultural credit cooperatives and warehouse receipt financing as drivers of smallholder productivity in Nakuru county
(Open Journal Publishing, 2025) Ondabu, Ibrahim Tirimba.; Abdi, Hassan Abdullahi .
This study examines the influence of Agricultural Credit Cooperatives (ACCs) and Warehouse Receipt Financing (WRF) on smallholder farmers’ productivity in Nakuru County. Drawing on data from 272 farmers, findings show that both ACCs (β = .211, p < .001) and WRF (β = .265, p < .001) significantly enhance productivity by increasing access to affordable credit, enabling timely input acquisition, reducing distress selling, and stabilizing market participation. Descriptive results reveal strong reliance on cooperatives but limited access to certified warehouses. The study recommends strengthening cooperative governance, expanding rural warehouse infrastructure, digitizing warehouse receipts, and integrating WRF into national food reserve systems.
Agricultural value chain financing and smallholder farmers’ productivity in Nakuru County, Kenya
(African Development Finance Journal, 2025) Ondabu, Ibrahim Tirimba.; Abdi, Hassan Abdullahi.
Agricultural Value Chain Financing (AVCF) has emerged as a critical pathway for improving the productivity and resilience of smallholder farmers across developing economies. This study examines the influence of AVCF on the productivity of smallholder farmers in Nakuru County, Kenya. Using a descriptive quantitative design and data from 272 farmers, the study demonstrates that AVCF significantly contributes to improved input accessibility, strengthened market linkages, and enhanced farmer profitability. Regression analysis confirms a positive and statistically significant relationship between AVCF and productivity (β = .166, p = .005). Despite the benefits, participation remains limited due to capacity gaps, information asymmetry, and weak extension systems. The study recommends strengthening contract farming, digitizing value chain platforms, enhancing extension services, and promoting farmer aggregation to unlock the full benefits of AVCF.
Capital adequacy and asset quality of deposit-taking microfinance banks in Kenya.
(IJSRP, 2026) Ondabu, Ibrahim Tirimba.; Ochami, Grace Jane Andahwa.; Matanda, Joshua.
The effect of capital adequacy on the asset quality of deposit-taking microfinance banks in Kenya is the central focus of this research. The study's central premise was based on the agency, moral hazard, and institutional theories. The study's target population was 14 deposit-taking microfinance banks in Kenya, with each bank's panel data collected from their audited reports for the years 2019 to 2023. Longitudinal design was the most ideal given the balanced panel data of the banks. Panel data regression was used to determine the causality between the predictor and response variables. The study findings reveal that capital adequacy positively influenced the asset quality of the DTM banks studied (B = 2.587). The association was also significant (p = 0.002 < 0.05). This implied that as MFBs accumulated more capital, the level or amount of NPLs decreased, thus leading to an improvement in their asset quality.
Cognitive campaign biases, political decisions and consequences.
(IISTE, 2023) Ondabu, Ibrahim Tirimba.; Ogutu,Victor Odhiambo.; Gworo, Lawrence Smith.; Simiyu, Denis Wangila.; Omare, Albert Nyaachi.
The main purpose of this review study was to examine the relationship between cognitive campaign biases, political decisions and consequences. Relevant information to complete the research was obtained through a desk top research technique was adopted whereby available secondary data relating to the concept of cognitive campaign biases, political decisions and consequences was analyzed. Important information from available secondary sources including published academic documents, reports as well as other available materials online or in libraries was critically analyzed. The review study determined that cognitive campaign biases have a substantial role in determining the political choices that individuals make. In addition, it was determined that cognitive campaign biases exist primarily in the concept of framing which is the social construction of political or social movements with a positive or negative representation. The review study recommends that cognitive campaign biases should be restricted as they tend to indoctrinate people mind causing them to vote in unwise manner and thereby bringing suffering to themselves and the society at large.
Cybersecurity resilience in digital finance: addressing threats,security protocols, data privacy, and fraud prevention strategies
(IJAFSSR, 2025) Ondabu, Ibrahim Tirimba.
The financial sector is increasingly vulnerable to cyber threats due to its reliance on digital infrastructure and the vast amounts of sensitive financial data it processes. This study examines the key cybersecurity threats affecting financial institutions, including data breaches, phishing attacks, ransomware, insider threats, and regulatory non-compliance. It further explores the security protocols used to mitigate these risks, such as multi-factor authentication (MFA), encryption, artificial intelligence (AI)-driven fraud detection, and blockchain technology. Additionally, the study investigates data privacy concerns and regulatory challenges faced by financial institutions, assessing compliance with frameworks such as the General Data Protection Regulation (GDPR) and the Payment Card Industry Data Security Standard (PCI DSS). The research also highlights fraud prevention strategies, including real-time transaction monitoring and behavioral analytics, to counter financial cybercrime. By analyzing existing literature and regulatory policies, this study provides insights into strengthening cybersecurity resilience in financial services. The findings underscore the need for a proactive, multi-layered security approach that integrates advanced technologies, regulatory compliance, and continuous risk assessments to protect financial data and maintain institutional trust.
Debt recovery practices and loan performance of deposit-taking microfinance banks in Kenya
(IJSSME, 2024) Ondabu, Ibrahim Tirimba.; Kamanda, Cynicah Nyaboke.; Teimet, Paul.; Matanda, Joshua.
This study explored the relationship between debt recovery practices and loan performance for deposit-taking microfinance banks in Kenya. The study is guided by agency theory and risk shifting theory. The objectives of this study include determine the effect of third-party credit and analyze the effect of collection agencies on loan performance. This research adopted a descriptive approach, the research meticulously captured numerical data for rigorous statistical analysis, aligning with the study’s objective. This study used census survey, all 14 microfinance banks licensed and operational by the Central Bank of Kenya were included. This study used self-administered questionnaires. In this study diagnostic tests were performed to validated the robustness of statistical analysis using SPSS. Validity and reliability were ensured through content validity guidelines and expert assessments where reliability has shown an average Cronbach alpha of 0.7 for all the variables. The study conducted a detailed analysis of the relationships between various elements related to loan performance surveyed microfinance banks. In this study the correlation matrix revealed strong positive correlations between third-party credit guarantees, and collection agencies. Regression analysis showed a significant impact of these factors on loan performance, with an R Square of 0.416. The study’s hypotheses regarding the influence of third-party credit guarantees, and collection agencies on loan performance were tested and supported. This study concluded that effective debt recovery practices significantly enhance loan performance in MFBs. Recommendations included reassessing debt policies, focusing on equity policies, and streamlining policy implementation concerning loan defaulters. The study also identified areas for further research to deepen understanding of loan performance dynamics in the microfinance sector. The study highlighted the importance of proactive debt recovery strategies and risk mitigation measures in enhancing the financial sustainability of MFBs in Kenya.
Digital finance as a catalyst for economic growth, innovation, and regulatory evolution
(IDEAS, 2025) Ondabu, Ibrahim Tirimba.; Choi, Alfonce Nyambane.; Ngila, Samuel.; Rikilem, Paul L.
Purpose: This study examines the impact of digital financial services on economic expansion, technological advancements, and financial regulations. It explores how digital finance drives financial inclusion, enhances access to credit, and fosters economic growth while also addressing the associated challenges. Methodology: A systematic review approach was employed to analyze existing literature on digital finance, focusing on its influence on financial innovation, transaction efficiency, and regulatory adaptation. The study synthesizes findings from academic research, industry reports, and policy papers. Findings: The study reveals that digital finance significantly enhances financial inclusion by reducing transaction costs and expanding credit access. Technologies such as artificial intelligence, blockchain, and big data analytics have revolutionized financial services, improving efficiency, security, and accessibility. However, challenges such as cybersecurity risks, fraud, and regulatory inconsistencies persist. Regulatory bodies are adopting adaptive measures, including regulatory sandboxes and central bank digital currencies, to balance innovation with consumer protection. Unique Contribution to Theory, Policy, and Practice: This study contributes to the theoretical understanding of digital finance’s role in economic transformation. It provides policy insights for governments and regulatory bodies to design frameworks that promote financial innovation while ensuring security and stability. Additionally, it offers practical guidance for financial institutions on leveraging digital technologies to enhance service delivery and economic development.
Does executive compensation structure contribute to financial distress? Lessons from Nairobi Securities Exchange-listed nonfinancial firms
(International Academic Journals, 2025) Ondabu, Ibrahim Tirimba.; Oyaro, John.; Memba, Florence.; Oluoch, Oluoch.
The aim of the study was to determine the effect of executive compensation structure on the financial distress of Nairobi Securities Exchange-listed non-financial firms. The study was anchored on the agency theory. A census of all 45 nonfinancial listed firms at the NSE was carried out using the cross-sectional research design. Secondary data extracted from published financial statements and other annual reports of the respective individual firms for a period of ten years from 2014 to 2023 was employed. In the study the Zscore for emerging economies was used to determine financial distress. Executive compensation structure was measured using the proportion of earnings before interest and tax that was distributed to board of directors. Both descriptive and inferential statistics were used in data analysis. Descriptive statistics included mean score and standard deviation. Inferential analysis was conducted via univariate logistic regression analysis and Pearson's correlation analysis. The study determined that a significant negative correlation exist between executive compensation structure and financial distress (r = -0.811: p=0.000). The study also determined that there exists a strong negative relationship between executive compensation structure and financial distress (β= -0.729: p=0.000). 34.1% to 45.5% variations in financial distress of non-financial listed firms explained by executive compensation structure. Consequently, this study established that for every one-unit improvement in executive compensation, the odds of financial distress decreases by 51.7%. The study therefore concluded that executive compensation structure as a significant negative effect on financial distress implying that an increase in executive compensation may lead the firm into financial distress. The study thus recommends that organisations should design an optimum executive compensation structure which aligns the interests of the management with those of the owners of firms thereby minimizing not only agency conflicts but also agency costs which firms may incur.
Financial risks and financial performance of deposit-taking savings and credit cooperative societies in Kenya.
(International Academic Journals, 2024) Ondabu, Ibrahim Tirimba.; Kithuka, Geoffrey Mweu.
The study aimed to ascertain how the financial performance of Kiambu County`s DT-SACCOs is affected by financial risks. The effect of credit risk, operational risk, market risk and liquidity risk on the Kiambu County DT-SACCOs financial performance are the precise aims that were emphasized in the research to accomplish the study objective. The study was anchored on the financial intermediary theory, liquidity preference theory, steward theory and information asymmetry theory. Thirteen licensed deposit-taking SACCOs with their headquarters located in Kiambu formed the target population and a descriptive research design was used. Secondary data from 2013 to 2022 for the thirteen-deposit taking SACCOs was collected from SACCO's financial statements and SASRA records. The data collected was unbalanced due to different licensing years of the deposit-taking SACCOs by SASRA. To analyse the data, the mean, standard deviation, minimum and maximum values were utilized as descriptive statistics, while panel data regression was employed as inferential statistics. The diagnostic tests conducted before fitting the model were: heteroscedasticity test, Breusch – Pagan Lagrange Multiplier, Hausman and multicollinearity. According to the study's findings, credit risk had a small but beneficial impact on financial performance (=0.00337, t= 0.26, p>0.005). Financial performance was positively and significantly impacted by operational risk (=0.01395, t=4.88, p0.05), financial performance was positively significantly influenced by market risk (=0.7909, t=32.36, p0.05), financial performance was significantly impacted negatively by liquidity risk (=-0.0023, t =-4.28, p0.005). The study recommends that it is important for deposit-taking SACCOs to embrace financial risks even if it means hiring experts in risk management and should ensure that risk management practices incorporate other financial risks components.
Fiscal framework and economic growth of East African member countries
(African Development Finance Journal, 2025) Ondabu, Ibrahim Tirimba.; Kuir, Mayen Kuir.
This study examined the relationship between public debt and economic growth in EAC member states. Using a longitudinal research design and secondary data from Kenya, Uganda, Tanzania, Burundi, and Rwanda. The research uses data collected from 2014 to 2023 for countries that were members of the EAC block by the year 2023. The analysis applied the Arellano-Bover System Generalized Method of Moments (GMM) to address endogeneity and dynamic panel concerns. To ensure reliability, diagnostic tests such as the Breusch-Pagan test for heteroscedasticity, the Hausman test, and the Arellano-Bond test for serial correlation were conducted, with results evaluated at the 5% significance level. The findings show that government expenditure has a positive but statistically insignificant effect on economic growth, reflecting the limited impact of recurrent-heavy spending on productivity, tax revenue has a negative and significant effect, suggesting that high tax rates coupled with a narrow tax base reduce private investment and household consumption and also that public debt has mixed outcomes: domestic debt had a positive though insignificant effect on growth, while external debt negatively and significantly influenced growth due to high servicing costs and currency risks.
Funding climate action: a systematic review of climate finance efficiency and impact
(JEFMS, 2025) Ondabu, Ibrahim Tirimba.; Wafula ,Anthony Emmanuel Wabwile.
This study presents a systematic review of the efficiency and impact of climate finance, with a focus on the key funding sources, allocation patterns, and the effectiveness of current climate finance mechanisms in advancing climate mitigation goals. Climate finance has emerged as a critical component of global efforts to combat climate change, yet its efficiency and impact remain under scrutiny. The study synthesizes existing empirical literature on climate finance, examining the role of public, private, and blended finance in funding climate action. It highlights the major sources of climate finance, including bilateral and multilateral funds, as well as private sector investments, and evaluates how these funds are allocated across various regions and sectors. Additionally, the study explores the operational mechanisms of climate finance, assessing their effectiveness in mobilizing resources for climate change mitigation and adaptation. The findings reveal that while significant progress has been made in mobilizing climate finance, there are persistent challenges related to funding gaps, fragmentation, and inefficiencies in the allocation of resources. The impact of climate finance on achieving climate mitigation goals has been varied, with successes in some areas, particularly in renewable energy and forest conservation, but limited progress in others due to governance issues, lack of coordination, and weak institutional frameworks. The study calls for a more streamlined and transparent approach to climate finance, emphasizing the importance of effective governance and accountability mechanisms to enhance the efficiency of funding and maximize its impact on climate mitigation. Recommendations are provided to improve the alignment of climate finance with sustainable development objectives, address regional disparities, and overcome the barriers to large-scale private investment in climate action.
Government funding, institutional size, and student enrolment in public TVET institutions: evidence from Nairobi Metropolitan, Kenya
(African Development Finance Journal, 2025) Ondabu, Ibrahim Tirimba.; Macharia, Alice N.
This article examines the influence of government funding, specifically Higher Education Loans Board (HELB) loans and capitation, on student enrolment in public Technical and Vocational Education and Training (TVET) institutions in Nairobi Metropolitan, Kenya. Using longitudinal panel data from 2019–2023 across 12 institutions, the study analyzes how institutional size moderates the relationship between funding and enrolment. Results show that HELB, capitation, and institutional size jointly explain 66.9% of the variance in enrolment rates, with all predictors exerting significant positive effects. Larger institutions benefit disproportionately due to economies of scale and stronger absorptive capacity. The findings highlight the centrality of coordinated demand- and supply-side financing models in promoting equitable access to technical education. Policy recommendations include strengthening funding frameworks, expanding capacity in smaller TVETs, and improving administrative efficiency to maximize the impact of public financing.
Green financing and financial performance of commercial banks in Kenya
(SSRN, 2025) Ondabu, Ibrahim Tirimba.; Oboyo, Nixon.
This study examined the impact of green financing mechanisms on the financial performance of commercial banks in Kenya. A descriptive research design was applied, focusing on Tier 1 banks as key players in green finance, with secondary data obtained from Central Bank of Kenya (CBK)-assessed financial statements covering 2019–2023. Panel data regression models were employed to analyze the relationship between green financing and financial performance, while the regulatory environment was considered as a moderating variable. Robustness of the models was ensured through diagnostic tests, including the Hausman, Breusch-Pagan, multicollinearity, autocorrelation, and linearity tests. The findings revealed that green bonds, green mortgages, and carbon assets collectively influence bank performance, and that green financing significantly improves the financial performance of commercial banks. Furthermore, the regulatory environment was found to play a moderating role in strengthening this relationship, highlighting the importance of effective oversight and supportive policy frameworks. The study concludes that stronger regulatory support and targeted policy interventions are vital in enhancing banks’ participation in sustainable projects while safeguarding profitability. It recommends that regulatory bodies refine existing policies to align green financing with financial stability and that the government consider introducing stimulus packages to encourage greater investment by commercial banks in green finance. These insights add to the discourse on sustainable finance and provide practical implications for policymakers, regulators, and financial institutions seeking to balance profitability with sustainability.
Gross domestic product and financial performance of energy and petroleum companies listed at the Nairobi securities exchange in Kenya
(IPRJB, 2026) Ondabu, Ibrahim Tirimba.; Gitati, J. K.; Kimani E. M
Potential investors in any sector seek to establish the financial performance of the sector before investment. The key factors that would affect the variability of the expected returns ought to be taken into consideration, and appropriate measures taken to mitigate any inappropriate conditions. This study sought to investigate the effect of gross domestic product on the financial performance of energy and petroleum firms listed at the NSE in Kenya. The study employed a descriptive research design. All four energy and petroleum firms are listed on the NSE. Secondary data covering a period of seven years from 2017 to 2023 was sourced from published annual reports and financial statements of all four listed energy and petroleum firms at the NSE in Kenya, National Bureau of Statistics periodic reports, using a data collection sheet. Data was analyzed with the aid of STATA18 software using descriptive and inferential statistical tools. Descriptive tools included frequencies, percentages, means, variances, and standard deviations. Inferential statistics tools included Pearson’s Product correlation and panel regression analysis, which were used in examining how macroeconomic variables affect the financial performance of listed energy and petroleum firms at the NSE Kenya. The study revealed that the R2 value of 56% of the variations in the perceived financial performance can be explained by the variations in the gross domestic product, while factors not studied in this research contributed 44% of the variance in the dependent variable. Panel regression results concluded that gross domestic product significantly affects the financial performance of energy and petroleum firms listed at the NSE, Kenya. The study recommended that firms and policymakers should establish a Macroeconomic Risk Monitoring Unit within the Energy and Petroleum Regulatory Authority (EPRA) to track GDP in real time and guide strategic pricing, investment, and hedging decisions. Additionally, the NSE and CMA could jointly develop a Macroeconomic-Adjusted Energy Performance Index (MEPI), a specialized benchmark that tracks how listed energy firms respond to Kenya’s GDP cycles. This would promote transparency, attract investors, and facilitate evidence-based policymaking for energy-sector resilience.
Impact investing in sustainable agricultural technologies and sustainable livelihoods for dairy farmers.
(European Economic Letters (EEL), 2024) Ondabu, Ibrahim Tirimba.
The goal of the study was to determine how dairy producers' sustainable lives are impacted by sustainable agricultural technologies. The study used a descriptive research design. 22,644 farmers who were spread over the 5 Wards of Githunguri Sub County in Kiambu County, Kenya, made up the target population. A stratified random sampling technique was used to randomly choose the sample in each of the five wards, and the Yamane Sampling formula was applied to generate a sample of 398 respondents. The study used quantitative data, which was gathered using a standardized questionnaire. A combination of inferential and descriptive statistics was used to analyze the collected data. The analysis's findings demonstrated that sustainable agriculture methods have a major and favorable impact on sustainability.
Intervening influence of financial development on the relationship between sustainability practices and sustainable development of the Sub-Saharan African countries
(MDPI, 2026) Ondabu, Ibrahim Tirimba.; Sporta, Fred Ochogo.; Mbugua, James C. N.
The objective of this paper was to explore how financial development affects the relationship between sustainability practices and sustainable development in Sub-Saharan Africa, where poor institutional quality and shallow financial markets may prevent sustainability gains from translating into measurable improvements in human development, poverty reduction, and environmental outcomes. Both descriptive and explanatory components were included in the study, which employed a longitudinal panel design. Using a positivist, longitudinal panel design, this study analyzes data from 49 Sub-Saharan African countries (2000–2023) sourced from the World Bank, United Nations Development Programme, and Sustainable Development Reports. Data analysis was done using regression models and descriptive analysis. The findings show that financial development does not serve as an effective transmission channel through which sustainability practices impact the achievement of sustainable development. The research concluded that policy interventions should include developing sustainable banking regulations, creating green finance incentives, establishing sustainability-linked lending criteria, and strengthening financial inclusion policies that target sustainable development sectors.
Key drivers of public sector audit effectiveness in Kenya and lessons for developing economies.
(IISTE, 2024) Ondabu, Ibrahim Tirimba.; Kanini, Joyce Mueni.; Njuguna, Peter.; Kithuka, Geoffrey.
This study explores the key factors influencing the effectiveness of public sector audits (PSA) within Kenya's national government and affiliated entities. Focusing on the role of institutional corporate governance, professional and technical competence, resource availability, and internal control processes, this research analyzes data from the Office of the Auditor General's 2021/2022 audit reports. Using a descriptive design and content analysis, 43 financial statements were examined to assess how these determinants impact audit outcomes. Findings indicate that professional and technical competence has the most significant positive impact on PSA effectiveness, followed by strong corporate governance and robust internal controls. Interestingly, resource availability showed a negative correlation, suggesting that merely increasing resources without strategic allocation may not enhance audit performance. These insights highlight the need for targeted training and improved governance structures to strengthen Kenya's audit capabilities and enhance public accountability.
Navigating risk: A deep dive into credit risk management practices and loan performance in Kenya's fintech frontier.
(IJEFM, 2024) Ondabu, Ibrahim Tirimba.; Kabui, Josphat Njoroge.
This study aimed at evaluating how credit risk management practices affect the loan performance of Fintech companies in Kenya. In particular, the study determined how credit terms, credit analysis, and credit mitigation affected loan performance. The research design used for the study was descriptive with the responders being credit officers from the Fintech companies in Kenya. Descriptive and inferential statistics were used to examine the information gathered from 62 Fintech companies through a primary data study that relied on questionnaires for data collection. Data collected was analyzed using descriptive statistics that yield tables, charts, mean and standard deviation that gave meaning to the data collected. The regression equation revealed that the predictors were significant and explained the model at an R squared of 80.5% to yield the study findings that credit risk management play a critical role in determining how well Fintech companies in Kenya operate when it comes to borrowing money and expanding their loan portfolio.
Operational efficiency strategies and operational performance in Kenya's aviation industry: the mediating role of service quality.
(Open Access Publishing Group, 2026) Ondabu, Ibrahim Tirimba.; Ng'ang'a, Loise Wangari.
Operational performance is a key indicator of efficiency and competitiveness in the aviation industry. It is commonly measured using indicators such as on-time performance, aircraft utilization, load factors, fuel efficiency, and operational disruptions. The general objective of the study was to determine the effect of operational efficiency strategies on operational performance in Kenya's aviation industry. Specifically, the study examined the effect of strategic fleet management, digital technology integration in operations, turnaround time optimization, and competency alignment on operational performance. In addition, the study assessed the mediating effect of service quality on the relationship between operational efficiency strategies and operational performance. The study was anchored on the Resource-Based View Theory, Dynamic Capabilities Theory, and Service Quality Theory and adopted an explanatory research design. The target population comprised 320 employees in Kenya's aviation industry working in the Operations Management, Engineering, Human Resource, and Training departments. A sample of 178 respondents was selected using stratified random sampling to ensure proportional representation across departments. Primary data were collected using structured questionnaires. A pilot study involving 18 respondents (10% of the sample) was conducted to test reliability, with Cronbach's Alpha used to assess internal consistency, while validity was determined using the Content Validity Index. Data were coded and analyzed using the Statistical Package for Social Sciences (SPSS). Both descriptive and inferential statistics were applied, including means, standard deviations, and correlation analysis to test relationships and mediation effects. The findings showed that strategic fleet management (β = 0.50, p < 0.005) and turnaround time optimization (β = 0.53, p < 0.005) significantly enhanced operational performance, while digital technology integration had a significant negative effect (β = -0.24, p = 0.05), indicating possible implementation challenges. Service quality significantly mediated the relationship between operational efficiency strategies and operational performance (β = 0.0318, p = 0.0478), strengthening these effects. Overall, operational efficiency strategies improved performance, with service quality playing a reinforcing role. The study recommended investment in fleet systems, turnaround optimization, effective digital technology adoption, staff training, and continuous service quality improvement to enhance operational efficiency in Kenya's aviation industry.