Published August 14, 2026 | Version v1

AI-Governed Digital Premium Experience in Airlines: The DPX-G360 Architecture for Trustworthy Customer Value and Operational Resilience

  • 1. Tarbiat Modares University

Description

Airlines are increasingly deploying artificial intelligence, cloud platforms, biometric identity, modern retailing, customer data systems, enterprise resource planning, and predictive operational intelligence to improve passenger experience and competitiveness. However, many digital transformation initiatives remain fragmented across commercial, customer experience, operations, maintenance, finance, cybersecurity, and governance functions. This article develops DPX-G360 as a design-science architecture for governing digital premium experience in airlines through accountable artificial intelligence, trusted data, integrated systems, and KPI-based execution. The study uses design-science reasoning supported by documentary multiple-case synthesis to connect front-stage passenger touchpoints, offer/order orchestration, and back-stage operational systems. The proposed architecture identifies six interdependent capability layers: digital journey orchestration, personalized retailing, operational intelligence, enterprise digital core, trust and cyber-resilience, and KPI-governed execution. The article argues that premium airline experience is not produced by customer-facing technologies alone; it depends on the governed integration of AI, data quality, identity, retailing, operational recovery, cybersecurity, and measurable decision accountability. DPX-G360 contributes to AI governance and aviation management by reframing premium experience as an auditable socio-technical capability rather than a marketing outcome. The framework provides airline executives, CIOs, CDOs, COOs, CCOs, and regulators with a structured architecture for aligning AI-enabled customer value with operational resilience, trust, and performance governance.

Files

AI-Governed Digital Premium Experience in Airlines The DPX-G360 Architecture for Trustworthy Customer Value and Operational Resilience.pdf

Additional details

Additional titles

Alternative title (Persian)
تجربه ممتاز دیجیتال مبتنی بر حکمرانی هوش مصنوعی در شرکت‌های هواپیمایی: معماری DPX-G360 برای ارزش مشتری اعتمادپذیر و تاب‌آوری عملیاتی

References

  • International Air Transport Association. Airline Retailing. Montreal: International Air Transport Association; n.d. Accessed 24 June 2026. Available from: IATA official website.
  • International Air Transport Association. Distribution with Offers & Orders: New Distribution Capability (NDC). Montreal: International Air Transport Association; n.d. Accessed 24 June 2026. Available from: IATA official website.
  • International Air Transport Association. Fulfilment with Orders: ONE Order. Montreal: International Air Transport Association; n.d. Accessed 24 June 2026. Available from: IATA official website.
  • Vial G. Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems; 28(2): 118-144, 2019.
  • Verhoef PC, Broekhuizen T, Bart Y, Bhattacharya A, Dong JQ, Fabian N, Haenlein M. Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research; 122: 889-901, 2021.
  • Taneja NK. 21st century airlines: Connecting the dots. London: Routledge; 2017.
  • Taneja NK. Re-platforming the airline business: To meet travelers' total mobility needs. London: Routledge; 2019.
  • Taneja NK. Transforming airlines: A flight plan for navigating structural changes. London: Routledge; 2020.
  • Lemon KN, Verhoef PC. Understanding customer experience throughout the customer journey. Journal of Marketing; 80(6): 69-96, 2016.
  • Parasuraman A, Zeithaml VA, Berry LL. SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing; 64(1): 12-40, 1988.
  • Pine BJ, Gilmore JH. Welcome to the experience economy. Harvard Business Review; 76(4): 97-105, 1998.
  • Teece DJ. Explicating dynamic capabilities: The nature and microfoundations of sustainable enterprise performance. Strategic Management Journal; 28(13): 1319-1350, 2007.
  • Vargo SL, Lusch RF. Evolving to a new dominant logic for marketing. Journal of Marketing; 68(1): 1-17, 2004.
  • Bharadwaj A, El Sawy OA, Pavlou PA, Venkatraman N. Digital business strategy: Toward a next generation of insights. MIS Quarterly; 37(2): 471-482, 2013.
  • Heiets I, La J, Zhou W, Xu S, Wang X, Xu Y. Digital transformation of airline industry. Research in Transportation Economics; 92: 101186, 2022.
  • Geske AM, Herold DM, Kummer S. Artificial intelligence as a driver of efficiency in air passenger transport: A systematic literature review and future research avenues. Journal of the Air Transport Research Society; 3: 100030, 2024.
  • Nhat VB. Technology and innovation in airline tour operations. In: Airlines and Tour Operations: An Integrated Approach to Aviation and Tourism. Singapore: Springer Nature Singapore; 2026. p. 335-363.
  • Ha Nam Khanh G. Airline logistics and operational management. In: Airlines and Tour Operations: An Integrated Approach to Aviation and Tourism. Singapore: Springer Nature Singapore; 2026. p. 55-84.
  • Vu LB, Khanh GHN, Nhat VB, Quang DD. Airlines and Tour Operations. Singapore: Springer; 2026.
  • Kamal Y, Ahmad I. Performance optimization in aviation: A digital approach. In: Airline Customer Experience: Digitalization in Passenger Services. London: Taylor & Francis; 2025. p. 81-103.
  • Cheung T, Li B, Lei Z. A paradigm shift in the aviation industry with digital twin, blockchain, and AI technologies. In: Handbook on Artificial Intelligence and Transport. Cheltenham: Edward Elgar Publishing; 2023. p. 323-346.
  • Mohammed MN, Hizah D. The impact of simplifying the business initiatives on employee performance and efficiency at Egypt Air. Minia Journal of Tourism and Hospitality Research; 20(3): 72-90, 2025.
  • NIST. Artificial Intelligence Risk Management Framework. Gaithersburg, MD: National Institute of Standards and Technology; 2023.
  • EASA. Artificial Intelligence Roadmap 2.0: A Human-Centric Approach to AI in Aviation. Cologne: European Union Aviation Safety Agency; 2023.
  • NIST. The NIST Cybersecurity Framework 2.0. Gaithersburg, MD: National Institute of Standards and Technology; 2024.
  • IATA. Aviation Cybersecurity. Montreal: International Air Transport Association; n.d.
  • European Commission. Artificial Intelligence Act. Brussels: European Commission; n.d.
  • European Parliament and Council of the European Union. Regulation (EU) 2016/679: General Data Protection Regulation, Article 22, Automated individual decision-making, including profiling. Official Journal of the European Union; 2016.
  • Singapore Airlines. Singapore Airlines and OpenAI partner to enhance customer experience and operational efficiency with AI solutions. Singapore: Singapore Airlines; 2025.
  • Emirates Group. Contactless Journey. Dubai: Emirates Group; n.d. Accessed 24 June 2026. Available from: Emirates official website.
  • Emirates Group. Emirates Biometrics. Dubai: Emirates Group; updated 23 October 2025. Accessed 24 June 2026. Available from: Emirates official website.
  • Oracle. All Nippon Airways builds a bridge between Japan and the rest of the world with Oracle ERP Cloud. Austin, TX: Oracle; 2019.
  • AAR Corp. Thai Airways selects Trax and Aerostrat to drive its digital MRO transformation. Wood Dale, IL: AAR Corp.; 2026.
  • MoghadasNian SAH, GhajarGar F. AI-powered passenger experience in airlines: A KPI-driven framework with mixed-methods evidence. SSRN; 2025. https://doi.org/10.2139/ssrn.6017454.
  • MoghadasNian SAH. Digital transformation and AI in airline management: Aligning agility, innovation, and data-driven strategies. SSRN; 2025. https://doi.org/10.2139/ssrn.6137987.
  • MoghadasNian SAH, Moslehi Z. Strategic integration of Industry 5.0 in aviation: Driving transformation through KPIs, digital innovation, and human-centric collaboration. SSRN; 2024. https://doi.org/10.2139/ssrn.6279038.
  • MoghadasNian SAH, HosseinZadehShirazi Z, Rajol M. Digital innovation and human-computer interaction in aviation: Enhancing airline systems through user experience and interface design. Zenodo; 2024. https://doi.org/10.5281/zenodo.18802252.
  • MoghadasNian SAH. Digital transformation in airline logistics: Enhancing operational efficiency through AI-driven predictive analytics and blockchain integration. SSRN; 2025. https://doi.org/10.2139/ssrn.6129506.
  • MoghadasNian SAH. Human-centric AI integration in airline operations: Enhancing safety, efficiency, and workforce resilience. SSRN; 2025. https://doi.org/10.2139/ssrn.6099266.
  • MoghadasNian SAH, Manafi F. Elevating airline performance with data analytics: A strategic guide to key performance indicators. SSRN; 2024. https://doi.org/10.2139/ssrn.6236539.
  • MoghadasNian SAH, Manafi F. Fortifying cybersecurity and enhancing data privacy in the airline industry: A strategic KPI-driven framework. Zenodo; 2024. https://doi.org/10.5281/zenodo.18811222.
  • MoghadasNian SAH, Moslehi Z. Optimizing IT solutions in the airline industry: A KPI-driven strategic approach. SSRN; 2024. https://doi.org/10.2139/ssrn.6279258.
  • MoghadasNian SAH, Moslehi Z. Optimizing strategies for the integrated growth model in travel, tourism, and trade: A KPI-driven approach within the airline industry. Zenodo; 2024. https://doi.org/10.5281/zenodo.18408961.
  • MoghadasNian SAH. Strategic and transformational excellence in the airline industry: Leveraging key performance indicators. Zenodo; 2024. https://doi.org/10.5281/zenodo.18737599.