Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Strategic Integration of Revenue Accounting KPIs for Airline Profitability Optimization: A Mixed-Methods Study

Document Type : Original Article

Authors
1 Tarbiat Modares University, Tehran, Iran
2 Islamic Azad University Central Tehran Branch, Tehran, Iran
Abstract
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.
Keywords

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Volume 6, Issue 1
Winter 2024
Pages 50-58

  • Receive Date 07 January 2024
  • Revise Date 25 February 2024
  • Accept Date 10 March 2024