In today’s increasingly competitive and data-driven aviation industry, revenue accounting has emerged as a strategic cornerstone for optimizing financial performance and ensuring sustainable growth. This study adopts a mixed-methods research design to explore the integration of revenue accounting practices with Key Performance Indicators (KPIs) across the airline sector. Drawing on a detailed analysis of financial reports from major global carriers, alongside qualitative insights from interviews with experienced revenue accounting professionals, the study identifies key KPIs such as Revenue per Available Seat Kilometer (RASK), Load Factor, and Customer Lifetime Value as critical metrics driving profitability and operational effectiveness. The findings underscore the expanding role of advanced analytics, algorithmic pricing models, and automation technologies in elevating the accuracy, responsiveness, and strategic value of revenue management systems. By examining how leading airlines leverage data to inform decision-making, the research proposes a KPI-aligned framework for revenue optimization that emphasizes agility, scalability, and financial resilience. This framework offers practical guidance for airline executives and revenue managers aiming to refine their accounting strategies in a volatile global market. Ultimately, the study contributes to the broader discourse on financial innovation in aviation, highlighting how data-centric KPI systems can serve as levers for long-term competitive advantage and strategic differentiation.
Yeoman, I., & McMahon-Beattie, U. (2017). The turning points of revenue management: A brief history of future evolution. Journal of Revenue and Pricing Management, 16(3), 66–72. https://doi.org/10.1108/JTF-11-2016-0040
Raghavan, S., Canella, A., Sharma, M. K., & Mau, R. R. (2020). Unlocking the final code to managing financial risk in the airline industry. Journal of International Finance and Economics, 20(4), 1–12. https://doi.org/10.18374/JIFE-20-4.1
Vinod, B. (2020). Advances in revenue management: The last frontier. Journal of Revenue and Pricing Management, 20(1), 15–20. https://doi.org/10.1057/s41272-020-00264-0
Huefner, R. J., & Largay, J. A. (2008). The role of accounting information in revenue management. Business Horizons, 51(3), 245–255. https://doi.org/10.1016/j.bushor.2008.01.013
Mohammed, A. R. (2016). Establishing effective key performance indicators (KPIs) as part of performance measurement system in airline enterprises (Egypt Air: Case Study). International Journal of Heritage, Tourism, and Hospitality, 7.
Demydyuk, G. (2012). Optimal financial key performance indicators: evidence from the airline industry. Accounting & Taxation, 3(2), 39-51.
Khairat, G. M. (2017). The balanced scorecard approach as a tool for performance evaluation in the airline companies. International Journal of Heritage, Tourism, and Hospitality, 10(2/2), 47-64.
Lin, G., Tang, Y., & Chen, P. (2020). Pricing models for multi-leg and multi-level in airline revenue management under competitive conditions. In 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) (pp. 2007–2011). https://doi.org/10.1109/ITNEC48623.2020.9084968
Bahadir, C., & Karahoca, A. (2017). Airline revenue management via data mining. Global Journal of Information Technology: Emerging Technologies, 7(3), 114–122. https://doi.org/10.18844/gjit.v7i3.2834
Fry, J., Humphreys, I., & Francis, G. (2005). Benchmarking in civil aviation: Some empirical evidence. Benchmarking: An International Journal, 12(2), 125–137. https://doi.org/10.1108/14635770510593077
Fiig, T., Goyons, O., Adelving, R., & Smith, B. C. (2016). Dynamic pricing – The next revolution in RM? Journal of Revenue and Pricing Management, 15(5), 360–379. https://doi.org/10.1057/rpm.2016.28
Zaki, H. (2000). FORECASTING FOR AIRLINE REVENUE MANAGEMENT. Journal of Business Forecasting Methods & Systems, 19(1).
Moghadasnian,S. and Karimi,P. (2024). Strategic Integration of Revenue Accounting KPIs for Airline Profitability Optimization: A Mixed-Methods Study. Transactions on Data Analysis in Social Science, 6(1), 50-58. doi: 10.47176/TDASS.2024.50
MLA
Moghadasnian,S. , and Karimi,P. . "Strategic Integration of Revenue Accounting KPIs for Airline Profitability Optimization: A Mixed-Methods Study", Transactions on Data Analysis in Social Science, 6, 1, 2024, 50-58. doi: 10.47176/TDASS.2024.50
HARVARD
Moghadasnian S., Karimi P. (2024). 'Strategic Integration of Revenue Accounting KPIs for Airline Profitability Optimization: A Mixed-Methods Study', Transactions on Data Analysis in Social Science, 6(1), pp. 50-58. doi: 10.47176/TDASS.2024.50
CHICAGO
S. Moghadasnian and P. Karimi, "Strategic Integration of Revenue Accounting KPIs for Airline Profitability Optimization: A Mixed-Methods Study," Transactions on Data Analysis in Social Science, 6 1 (2024): 50-58, doi: 10.47176/TDASS.2024.50
VANCOUVER
Moghadasnian S., Karimi P. Strategic Integration of Revenue Accounting KPIs for Airline Profitability Optimization: A Mixed-Methods Study. TDASS, 2024; 6(1): 50-58. doi: 10.47176/TDASS.2024.50