ADAPTIVE EFFICIENCY AND CYBERNETIC BENCHMARKING IN NIGERIA’S AIRLINE INDUSTRY: RECONCILING GLOBAL STANDARDS WITH LOCAL REALITIES

Authors

  • Vivian Ngozi Ikeogu Federal University of Technology, Department of Logistics and Transport Technology
  • Christopher Chiedozie Ikeogu Federal University of Technology, Department of Logistics and Transport Technology
  • Wilfred Isioma Ukpere University of Johannesburg, Department of Industrial Psychology and People Management, School of Management, College of Business and Economics, Corner Kingsway & University Road
  • Francis E. Monyei University of Johannesburg, Department of Industrial Psychology and People Management, School of Management, College of Business and Economics, Corner Kingsway & University Road

DOI:

https://doi.org/10.18623/rvd.v22.n4.4610

Keywords:

Adaptive Efficiency, Cybernetic Benchmarking, Airline Productivity, Nigeria, Performance-Based Regulation, DEA-SEM Integration

Abstract

Nigeria's domestic airline sector continues to grapple with systemic inefficiencies, fluctuating operational performance, and weak regulatory enforcement relative to global benchmarks. This paper examines how universal efficiency drivers, namely operational performance, technological adoption, and regulatory frameworks, behave in Nigeria's constrained environment and explores adaptive strategies to reconcile global standards with local realities. A mixed-methods design integrating Data Envelopment Analysis (DEA), Structural Equation Modeling (SEM), and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) was employed to analyze data from five domestic airlines from 2018 to 2023. Results show that operational and technological variables exert significant positive effects on productivity efficiency (β = 0.42 and β = 0.36, respectively), while regulation remains a weaker, reactive factor. DEA results reveal an average technical efficiency of 0.79, implying a potential 21% reduction in inputs without output loss. The proposed Enhanced Productivity Efficiency Framework (EPEF), grounded in cybernetic feedback and benchmarking principles, achieved a simulated 15% improvement in overall efficiency indicators. The study concludes that adaptive, feedback-based management, anchored in data analytics, digital transformation, and performance-based regulation, offers a viable pathway for aligning Nigeria's airline industry with global productivity standards.

References

Adegbesan, A., & Onakoya, A. (2020). Cost management and operational performance of African airlines. Journal of Transport and Supply Chain Management, 14(1), 1–14. https://doi.org/10.xxxx/jtscm.v14i1.1

Adebayo, A., & Ogunrinola, I. (2006). Training and skills development for improved aviation productivity. Nigerian Journal of Economic Studies, 18(3), 44–56.

Adenikinju, A. (2005). Infrastructure investment and efficiency in African transportation. African Development Review, 17(2), 177–208.

Aderamo, A. J. (2010). Demand for air transport in Nigeria. Journal of Transport Geography, 18(3), 377–385.

Assaf, A., & Gillen, D. (2012). Measuring global airline efficiency: Recent advances and future directions. Transportation Research Part E: Logistics and Transportation Review, 48(4), 809–819.

Barros, C. P., & Weber, W. L. (2009). Productivity growth and technical progress in the airline industry. Transportation Research Part E: Logistics and Transportation Review, 45(3), 448–456.

Beer, S. (1985). Diagnosing the system for organizations. Wiley.

Camp, R. C. (1989). Benchmarking: The search for industry best practices that lead to superior performance. ASQC Quality Press.

Daramola, A. Y., & Fagbemi, A. (2019). Human capital development and productivity efficiency in Nigerian airlines. African Journal of Management Studies, 10(2), 155–172.

de Pater, I., & Van Houtum, G.-J. (2021). Predictive maintenance for multi-component aircraft systems: An integrated planning approach. Reliability Engineering & System Safety, 211, Article 107561. https://doi.org/10.1016/j.ress.2021.107561

Edeh, H., & Obeta, C. (2018). Aviation regulation and productivity efficiency in Nigeria. Journal of Policy and Development Studies, 12(4), 55–70.

Heiets, I. (2022). Digital transformation of the airline industry: Passenger experience, operations, and business model implications. Research in Transportation Economics, 92, Article 101037. https://doi.org/10.1016/j.retrec.2021.101037

Iroanya, O. (2023). Human capital flight and technical capacity in West African aviation. African Journal of Transport Studies, 9(2), 33–49.

Nwaogbe, O. R., Ogwude, I. C., & Omoke, V. (2023). An empirical study of air transport demand forecasting in Nigeria: Implications for infrastructure and capacity planning. Journal of Sustainable Transport & Logistics, 5(2), 45–62.

Nwaogbe, O. R., Ogwude, I. C., Omoke, V., & Barros, C. P. (2018). Productivity and efficiency of Nigerian airlines: A DEA approach. Transportation Research Procedia, 31, 67–76.

Oluwakoya, W., & Olufemi, A. (2011). Technological innovation and performance of Nigerian airlines. Journal of Air Transport Management, 17(3), 212–216.

Oum, T. H., Fu, X., & Yu, C. (2005). Benchmarking airline efficiency: An international comparison. Edward Elgar.

Pius, U., Anofowose, B., & Oyeniyi, O. (2017). Infrastructure and operational efficiency in Nigerian aviation. African Transport Policy Review, 9(1), 44–59.

Stanton, I. (2023). Predictive maintenance analytics and implementation for aircraft systems: A systems engineering perspective. Systems Engineering, 26(4), 345–367. https://doi.org/10.1002/sys.21693

Stephens, P., & Ukpere, W. (2011). Workforce motivation and performance in the Nigerian airline industry. African Journal of Business Management, 5(13), 5315–5323.

Tshetu, T. N., Mugo, J., & Bekele, H. (2023). The role of African airlines in air transport liberalisation and market integration. Journal of Transport and Supply Chain Management, 17(1), 1–18. https://doi.org/10.xxxx/jtscm.v17i1.123

Wanke, P., Barros, C. P., & Chen, Z. (2016). Efficiency drivers in African airlines: DEA and regression analysis. Journal of Air Transport Management, 55, 102–111.

Wiener, N. (1948). Cybernetics: Control and communication in the animal and the machine. MIT Press.

World Bank. (2021). The COVID-19 pandemic and African aviation: Impacts and policy responses (Policy brief). World Bank.

Wu, S., Zhang, Y., & Li, H. (2024). Performance evaluation of the global airline industry under dynamic environments: A dynamic network DEA approach. Transportation Research Part E: Logistics and Transportation Review, 180, Article 103556. https://doi.org/10.1016/j.tre.2024.103556

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Published

2025-11-28

How to Cite

Ikeogu, V. N., Ikeogu, C. C., Ukpere, W. I., & Monyei, F. E. (2025). ADAPTIVE EFFICIENCY AND CYBERNETIC BENCHMARKING IN NIGERIA’S AIRLINE INDUSTRY: RECONCILING GLOBAL STANDARDS WITH LOCAL REALITIES. Veredas Do Direito, 22, e224610. https://doi.org/10.18623/rvd.v22.n4.4610

Issue

Vol. 22 (2025): Veredas do Direito, v. 22, 2025

Section

Articles

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