Conceptio › Archive › Zenodo (CERN)
Zenodo (CERN) open access CC BY 4.0

Strategic Revenue Maximization in Airlines: Harnessing the Power of Revenue Accounting KPIs

MoghadasNian, SeyyedAbdolHojjat et al. · Zenodo (CERN)
Zenodo (CERN) · Papers · License: CC BY 4.0
Open Source ↗
financial-performancemixed-methods-researchoperational-efficiency
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

Strategic Revenue Maximization in Airlines: Harnessing the Power of Revenue Accounting KPIs | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Published March 14, 2024 | Version v1 Journal article Open Strategic Revenue Maximization in Airlines: Harnessing the Power of Revenue Accounting KPIs Authors/Creators MoghadasNian, SeyyedAbdolHojjat 1 Karimi, Parvin 2 Show affiliations 1.

Tarbiat Modares University 2. Islamic Azad University Central Tehran Branch Description This study delves into the crucial role of revenue accounting in the airline industry, spotlighting the strategic significance of Key Performance Indicators (KPIs) in driving revenue maximization. A mixed-methods approach was employed, incorporating an extensive literature review, analysis of financial reports from leading airlines, and qualitative interviews with Revenue Accounting Managers. The research uncovers key KPIs that are most strongly correlated with enhanced revenue and operational efficiency in airlines. These include Total Revenue vs. Forecast, Revenue per Available Seat Kilometer (RASK), and Customer Lifetime Value. The study underscores the necessity for airlines to integrate sophisticated analytics and dynamic pricing strategies in their revenue management practices. It also identifies potential areas for future research, such as the exploration of emerging technologies in revenue accounting and the influence of global economic factors on revenue strategies, offering valuable insights for reshaping revenue management strategies in the ever-evolving airline sector. Files Strategic Revenue Maximization in Airlines Harnessing the Power of Revenue Accounting KPIs KpiCit25.pdf Files (216.4 kB) Name Size Download all Strategic Revenue Maximization in Airlines Harnessing the Power of Revenue Accounting KPIs KpiCit25.pdf md5:f1bdf273780913fb6536197e06689451 216.4 kB Preview Download Additional details Additional titles Alternative title (Persian) بیشینه‌سازی راهبردی درآمد در خطوط هوایی: بهره‌گیری از شاخص‌های کلیدی عملکرد حسابداری درآمد Identifiers URL https://www.researchgate.net/publication/389097600_Strategic_Revenue_Maximization_in_Airlines_Harnessing_the_Power_of_Revenue_Accounting_KPIs URL https://www.academia.edu/125249118/Strategic_Revenue_Maximization_in_Airlines_Harnessing_the_Power_of_Revenue_Accounting_KPIs References Yeoman, I., & McMahon-Beattie, U. (2017). The turning points of revenue management: a brief history of future evolution. Journal of Revenue and Pricing Management, 3, 66-72. 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. Vinod, B. (2020). Advances in revenue management: the last frontier. Journal of Revenue and Pricing Management, 20, 15-20. Littlewood, K. (2005). Special Issue Papers: Forecasting and control of passenger bookings. Journal of Revenue and Pricing Management, 4, 111-123. Huefner, R. J., & Largay, J. A. (2008). The role of accounting information in revenue management. Business Horizons, 51, 245-255. 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. (2011). Optimal Financial Key Performance Indicators: Evidence from the Airline Industry. IO: Theory eJournal. Khairat, G. (2017). The Balanced Scorecard Approach as a Tool for Performance Evaluation in the Airline Companies. International Journal of Heritage, Tourism, and Hospitality, 10. Lin, G., Tang, Y., & Chen, P. (2020). Pricing Models for Multi-leg and Multi-Level in Airline Revenue Management under Competitive Conditions. 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 1, 2007-2011. Bahadir, C., & Karahoca, A. (2017). Airline revenue management via data mining. Fry, J., Humphreys, I., & Francis, G. (2005). Benchmarking in civil aviation: some empirical evidence. Benchmarking: An International Journal, 12, 125-137. Fiig, T., Goyons, O., Adelving, R., & Smith, B. C. (2016). Dynamic pricing – The next revolution in RM? Journal of Revenue and Pricing Management, 15, 360-379. Zaki, H. (2000). Forecasting for Airline Revenue Management. The Journal of Business Forecasting Methods & Systems, 19, 2. MoghadasNian, S. A. H., & Mirfaizi, S. (2024). Optimizing airline performance and strategy: A KPI‐driven approach for chief country officers. In Proceedings of the 8th International Conference on Management, Accounting, Economics and Social Sciences. MoghadasNian, S. A. H. (2018). Sky-High Finances: A Comprehensive KPI Guide for Airline Finance and Economics [Digital edition]. Navigating the Financial Turbulence: The Definitive Guide to Key Performance Indicators. Aviation and Tourism Research and Innovation Center (ATRIC). MoghadasNian, S. A. H. (2016). Skyline Command: The Ultimate KPI Guide for the Operations Control Center in the Airline Industry [Digital edition]. Coordinating Flights with Precision: Key Metrics for Enhancing Efficiency and Safety in Operations. Aviation and Tourism Research and Innovation Center (ATRIC). MoghadasNian, S. A. H., & Abbasi, L. (2024). Elevating flight operations efficiency: A KPI-driven approach for airline performance enhancement. In Proceedings of the 15th International Conference on Management Research and Humanities in Iran. MoghadasNian, S. A. H. (2017). Navigating through Legal Skies: The Airline Guide to KPIs in Legal and Regulatory Compliance [Digital edition]. Staying within the Legal Radar: Key Performance Indicators for Legal Compliance in Airlines. Aviation and Tourism Research and Innovation Center (ATRIC). MoghadasNian, S. A. H., & MoghadasNian, S. M. (2024). Legal Frontiers in Aviation: Bridging Gaps and Navigating New Horizons in Airline Law. In Proceedings of the 6th International Conference and The 7th National Conference on Law and Political Science. MoghadasNian, S. A. H. (2018). Revenue Rising Unlocking Profit Potential with Revenue Management KPIs The Ultimate Handbook for Revenue Management Professionals [Digital edition]. The Ultimate Handbook for Revenue Management Professionals. Aviation and Tourism Research and Innovation Center (ATRIC). MoghadasNian, S. A. H., & Rajol, M. (2024). Artificial Intelligence in Airline Business Management: A Paradigm Shift in the Industry. In Proceedings of the First National Conference on the Application of Artificial Intelligence in Business Management. MoghadasNian, S. A. H. (2011). Building Trust at 30,000 Feet: The Definitive KPI Guide for Customer Relationship Management in Airlines [Digital edition]. Leveraging Data to Enhance Customer Loyalty and Personalize the Airline Experience. Aviation and Tourism Research and Innovation Center (ATRIC). MoghadasNian, S. A. H., & Takzare, S. (2024, March 5). Enhancing airline customer experience: A strategic approach to KPI-driven management. In Proceedings of the 8th International Conference on Management, Accounting, Economics and Social Sciences. Hamedan, Iran. MoghadasNian, S. A. H. (2015). Flying with Technology: A Guide to Key Performance Indicators in Airline IT [Digital edition]. Technology at the Helm: Impactful IT Metrics in the Airline Industry. Aviation and Tourism Research and Innovation Center (ATRIC). MoghadasNian, S. A. H., Rajol, M., & HosseinZadehShirazi, Z. (2024, January 30). AI-Driven Aircraft Maintenance: Enhancing Efficiency, Safety, and Sustainability. In Proceedings of the First National Conference on the Application of Artificial Intelligence in Business Management. MoghadasNian, S. A. H. (2024). Technological Renaissance in Airline: Pioneering Digital Innovations and Their Global Impact. In Proceedings of the 8th International Conference on Electrical Engineering, Computer Science and Information Technology. MoghadasNian, S. A. H. (2017). Navigating through Legal Skies: The Airline Guide to KPIs in Legal and Regulatory Compliance [Digital edition]. Staying within the Legal Radar: Key Performance Indicators for Legal Compliance in Airlines. Aviation and Tourism Research and Innovation Center (ATRIC). MoghadasNian, S. A. H., & NaziriHosseinPour, P. (2024). Legal frameworks and strategic international relations: Guiding the airline industry through regulatory compliance and diplomacy. In Proceedings of the 6th International Conference & The 7th National Conference on Law and Political Science. MoghadasNian, S. A. H. (2018). Selling the Skies: The Ultimate KPI Guide for the Marketing Director in the Airline Industry [Digital edition]. Harnessing Key Performance Indicators to Drive Marketing Success and Elevate Brand Presence. Aviation and Tourism Research and Innovation Center (ATRIC). MoghadasNian, S. A. H., & KheymehGard, Z. (2024). Strategic brand management and marketing effectiveness in the airline industry: A KPI-driven approach. In Proceedings of the First National Conference of New Trends in Brand Management, Advertising, Marketing and Media. MoghadasNian, S. A. H. (2024, March 13). Integrating KPI-driven strategies in airline management: Enhancing budgeting and planning for optimal financial and strategic performance. In Proceedings of the 15th International Conference on Management Research and Humanities in Iran. MoghadasNian, S. A. H. (2023). Strategica Aeronautica: Mastering KPI-Driven Leadership Across the Airline and Tourism Ecosystem [Digital edition]. A Comprehensive Guide for Executives: From Analytic Hierarchy Process to Zero-Based Budgeting, Navigate the Full Spectrum of Strategic Decision-Making Metrics. Aviation and Tourism Research and Innovation Center (ATRIC). MoghadasNian, S. A. H. (2022). Flight to Excellence: A Comprehensive Guide to Key Performance Indicators in the Airline Industry [Digital edition]. Unlocking Success Through Data-Driven Strategies and Performance Metrics. Aviation and Tourism Research and Innovation Center (ATRIC). 29 Views 27 Downloads Show more details All versions This version Views Total views 29 29 Downloads Total downloads 27 27 Data volume Total data volume 6.3 MB 6.3 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Revenue Accounting Airline Industry Key Performance Indicators Revenue Maximization Operational Efficiency Financial Performance Dynamic Pricing Strategies Mixed-Methods Research Details DOI DOI Badge DOI 10.5281/zenodo.20046267 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.20046267.svg)](https://doi.org/10.5281/zenodo.20046267) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20046267.svg :target: https://doi.org/10.5281/zenodo.20046267 HTML <a href="https://doi.org/10.5281/zenodo.20046267"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20046267.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.20046267.svg Target URL https://doi.org/10.5281/zenodo.20046267 Resource type Journal article Publisher Zenodo Published in Transactions on Data Analysis in Social Science, 6(2), 60-70, ISSN: 2821-1693, 2024. Conference 1st National Conference on The Role of Management Sciences and Accounting in Improving Monetary and Financial Policies , Sari, Iran Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 6, 2026 Modified May 6, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

Related documents

Record · ID 171699 · SHA-256 a918a97de77693b5
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive