IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v17y2018i3d10.1057_s41272-017-0115-z.html
   My bibliography  Save this article

The new wave of airline revenue and pricing management – what next for the leisure customer?

Author

Listed:
  • Octavian Oancea

    (Etihad Airways)

  • Razvan Horga

    (Volantio)

Abstract

The advances in travel technology as well as the fierce competition that will continue in the following years will redefine not only the way people perceive the travel experience and the way it is distributed, but also the way airlines will price their products and manage their revenues. Higher transparency and excellent synchronization of systems, big data and powerful analytics, together with improvements in distribution in line with IATA’s New Distribution Capability initiative, will create the perfect environment to fine-tune the relationship between airlines and customers and offer them smarter choices and maybe even improve the public perception of revenue and pricing management. However, the deluge of bidirectional information could spur choice overload in the average customer, whereas the airlines could see distribution further taken over by intermediaries. In this article, we will explore what will be the role of the revenue and pricing decision maker in the years to come and how will airlines manage to better attract and keep its customers, with a focus on the leisure customer.

Suggested Citation

  • Octavian Oancea & Razvan Horga, 2018. "The new wave of airline revenue and pricing management – what next for the leisure customer?," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(3), pages 182-188, June.
    • Handle: RePEc:pal:jorapm:v:17:y:2018:i:3:d:10.1057_s41272-017-0115-z
    DOI: 10.1057/s41272-017-0115-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41272-017-0115-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41272-017-0115-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kalyan Talluri & Garrett van Ryzin, 2004. "Revenue Management Under a General Discrete Choice Model of Consumer Behavior," Management Science, INFORMS, vol. 50(1), pages 15-33, January.
    2. Park, Jeong-Yeol & Jang, SooCheong (Shawn), 2013. "Confused by too many choices? Choice overload in tourism," Tourism Management, Elsevier, vol. 35(C), pages 1-12.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Octavian Oancea, 0. "Optimizing airline fare structures," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 0, pages 1-4.
    2. Ku, Edward C.S., 2022. "Developing business process agility: Evidence from inter-organizational information systems of airlines and travel agencies," Journal of Air Transport Management, Elsevier, vol. 103(C).
    3. Octavian Oancea, 2020. "Optimizing airline fare structures," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(4), pages 230-233, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Uzma Mushtaque & Jennifer A. Pazour, 2022. "Assortment optimization under cardinality effects and novelty for unequal profit margin items," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(1), pages 106-126, February.
    2. Meissner, Joern & Strauss, Arne, 2012. "Network revenue management with inventory-sensitive bid prices and customer choice," European Journal of Operational Research, Elsevier, vol. 216(2), pages 459-468.
    3. Xi Chen & Zachary Owen & Clark Pixton & David Simchi-Levi, 2022. "A Statistical Learning Approach to Personalization in Revenue Management," Management Science, INFORMS, vol. 68(3), pages 1923-1937, March.
    4. Shaojie Tang & Jing Yuan, 2023. "Beyond submodularity: a unified framework of randomized set selection with group fairness constraints," Journal of Combinatorial Optimization, Springer, vol. 45(4), pages 1-22, May.
    5. Daniel Hopman & Ger Koole & Rob van der Mei, 2017. "Single-leg revenue management with downsell and delayed decision making," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(6), pages 594-606, December.
    6. Flores, Alvaro & Berbeglia, Gerardo & Van Hentenryck, Pascal, 2019. "Assortment optimization under the Sequential Multinomial Logit Model," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1052-1064.
    7. Kevin K. Wang & Michael D. Wittman & Adam Bockelie, 2021. "Dynamic offer generation in airline revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(6), pages 654-668, December.
    8. Diwakar Gupta & Lei Wang, 2008. "Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice," Operations Research, INFORMS, vol. 56(3), pages 576-592, June.
    9. Georg Bechler & Claudius Steinhardt & Jochen Mackert, 2021. "On the Linear Integration of Attraction Choice Models in Business Optimization Problems," SN Operations Research Forum, Springer, vol. 2(1), pages 1-13, March.
    10. Daria Dzyabura & Srikanth Jagabathula, 2018. "Offline Assortment Optimization in the Presence of an Online Channel," Management Science, INFORMS, vol. 64(6), pages 2767-2786, June.
    11. Chiew, Esther & Daziano, Ricardo A. & Garrow, Laurie A., 2017. "Bayesian estimation of hazard models of airline passengers’ cancellation behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 154-167.
    12. Thomas W. M. Vossen & Dan Zhang, 2015. "Reductions of Approximate Linear Programs for Network Revenue Management," Operations Research, INFORMS, vol. 63(6), pages 1352-1371, December.
    13. Yongbo Xiao & Jian Chen, 2014. "Evaluating the potential effects from probabilistic selling of similar products," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(8), pages 604-620, December.
    14. David Simchi-Levi & Rui Sun & Huanan Zhang, 2022. "Online Learning and Optimization for Revenue Management Problems with Add-on Discounts," Management Science, INFORMS, vol. 68(10), pages 7402-7421, October.
    15. Guillermo Gallego & Haengju Lee, 2020. "Callable products with dependent demands," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(3), pages 185-200, April.
    16. Juan M. Chaneton & Gustavo Vulcano, 2011. "Computing Bid Prices for Revenue Management Under Customer Choice Behavior," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 452-470, October.
    17. Yalç{i}n Akçay & Harihara Prasad Natarajan & Susan H. Xu, 2010. "Joint Dynamic Pricing of Multiple Perishable Products Under Consumer Choice," Management Science, INFORMS, vol. 56(8), pages 1345-1361, August.
    18. Guang Li & Paat Rusmevichientong & Huseyin Topaloglu, 2015. "The d -Level Nested Logit Model: Assortment and Price Optimization Problems," Operations Research, INFORMS, vol. 63(2), pages 325-342, April.
    19. Hu, Qiying & Wei, Yihua & Xia, Yusen, 2010. "Revenue management for a supply chain with two streams of customers," European Journal of Operational Research, Elsevier, vol. 200(2), pages 582-598, January.
    20. Chen, Yajing & Wu, Zhimin & Wang, Yunlong, 2024. "Omnichannel product selection and shelf space planning optimization," Omega, Elsevier, vol. 127(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:jorapm:v:17:y:2018:i:3:d:10.1057_s41272-017-0115-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.