Factors Influencing Value Proposition in the Aviation Industry in the Context of Customer-Centric Digital Economy

In the face of intensified competition and accompanying challenges associated with business digital transformation, value proposition in the Aviation Industry is becoming a strategic priority. Creating value is regarded as a core thing among the potential components of a successful business strategy. Value proposition is derived from the firm’s strategy to allocate resources in the most efficient way, which is crucial for capturing opportunities and avoiding threats in the extremely competitive global environment. Recent changes in value shift from entertainment and comfort to social responsibility, and from consumerism to eco-friendliness and sustainable growth have significantly affected the aviation domain. Air transportation businesses are now adopting new values in order to boost their profitability and support sustainability of their operations in the agenda of digital transformation. The use of novel customer-centric business models, which are based on new values and are aimed at formation of new relationships, enables the sustainability advantage of an aviation enterprise. The aim of the paper is to identify and discuss the main factors that may influence value proposition in the Aviation Industry in the context of customer-centric digital economy. Research methods involve the review of secondary sources, ICAO, and IATA documents, as well as in-depth expert interviews and the online expert panel discussion on the main challenges faced by the given sector. The obtained results would be used by senior managers of an air transportation enterprise for effective decision-making in the agenda of creating a unique value proposition to their customers in uncertain times.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 50-60
  • Monograph Title: Reliability and Statistics in Transportation and Communication: Selected Papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01969900
  • Record Type: Publication
  • ISBN: 9783031266546
  • Files: TRIS
  • Created Date: Oct 28 2025 9:50AM