Technology and Innovation in Airline Tour Operations

Vuong Bui Nhat ()
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Vuong Bui Nhat: Vietnam Aviation Academy (VAA), Faculty of Business Administration

A chapter in Airlines and Tour Operations, 2026, pp 335-363 from Springer

Abstract: Abstract This chapter explores the transformative impact of technology and innovation on the airline tour operations sector, highlighting how digital advancements are reshaping the future of travel experiences. The chapter examines the strategic application of emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and contactless travel solutions within airline-tourism ecosystems. It illustrates how these innovations are driving operational efficiency, enabling dynamic pricing, enhancing customer personalization, and supporting sustainable tourism practices. Key focal areas include the integration of AI-powered tools for route optimization, customer behavior analysis, and automated tour management systems. The chapter also delves into the growing role of digital identity verification, mobile-first platforms, and decentralized booking frameworks in delivering frictionless, secure, and real-time travel services. Furthermore, the discussion highlights how data-driven personalization and predictive analytics are becoming essential for competitive differentiation and customer loyalty in airline tour packages. In addressing the intersection of technology and sustainability, the chapter introduces green tech applications such as smart itineraries and eco-friendly digital platforms that align with the global push for responsible tourism. Through case studies and global best practices, the chapter emphasizes the importance of continuous innovation, cross-sector collaboration, and tech-driven agility for tour operators and airlines striving to remain resilient and customer-centric in a fast-evolving travel landscape.

Keywords: Airline innovation; AI in travel; Digital tourism; Contactless travel; Blockchain; Smart itineraries; Sustainable tech; Machine learning; Tour automation; Customer personalization; Travel digitalization (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-1830-2_12

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DOI: 10.1007/978-981-95-1830-2_12

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