IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v17y2018i2d10.1057_s41272-017-0122-0.html
   My bibliography  Save this article

Are airline passengers ready for personalized dynamic pricing? A study of German consumers

Author

Listed:
  • Andreas Krämer

    (exeo Strategic Consulting AG)

  • Mark Friesen

    (QUINTA Consulting)

  • Tom Shelton

    (TNS Pricing and Revenue Management Consulting LLC)

Abstract

Today, dynamic pricing (DP) in most industries is an established form of pricing, and supported by the DP functionality of many revenue management (RM) systems and the general simplification of airline pricing driven by low-cost carriers. The technological changes (NDC, Big data, IoT, etc.) allow further steps for price differentiation culminating in either personalized or personalized dynamic pricing (PDP). PDP as we define it is not to be confused with the traditional DP of today‘s RM practices. Whether appropriate strategies for a 1:1 price setting can be successfully implemented in the market, depends on several factors: (1) technological advances in data mining and the ability to detect customer preferences (2) the ability to accurately determine customer’s willingness-to-pay by predictive analytics; (3) the use of personal data by airlines and its acceptance by consumers as well as (4) the medium-term impact on customer loyalty and the associated risks for the sustainability of the whole airline business model.

Suggested Citation

  • Andreas Krämer & Mark Friesen & Tom Shelton, 2018. "Are airline passengers ready for personalized dynamic pricing? A study of German consumers," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(2), pages 115-120, April.
    • Handle: RePEc:pal:jorapm:v:17:y:2018:i:2:d:10.1057_s41272-017-0122-0
    DOI: 10.1057/s41272-017-0122-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41272-017-0122-0
    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/s41272-017-0122-0?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. O'Connell, John F. & Warnock-Smith, David, 2013. "An investigation into traveler preferences and acceptance levels of airline ancillary revenues," Journal of Air Transport Management, Elsevier, vol. 33(C), pages 12-21.
    2. Vidyanand Choudhary & Anindya Ghose & Tridas Mukhopadhyay & Uday Rajan, 2005. "Personalized Pricing and Quality Differentiation," Management Science, INFORMS, vol. 51(7), pages 1120-1130, July.
    3. Chia-Wei Kuo & Hyun-Soo Ahn & Göker Aydın, 2011. "Dynamic Pricing of Limited Inventories When Customers Negotiate," Operations Research, INFORMS, vol. 59(4), pages 882-897, August.
    4. Kelly L. Haws & William O. Bearden, 2006. "Dynamic Pricing and Consumer Fairness Perceptions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(3), pages 304-311, October.
    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. Anna Priester & Thomas Robbert & Stefan Roth, 2020. "A special price just for you: effects of personalized dynamic pricing on consumer fairness perceptions," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(2), pages 99-112, April.
    2. Stacey Mumbower & Susan Hotle & Laurie A. Garrow, 2023. "Highly debated but still unbundled: The evolution of U.S. airline ancillary products and pricing strategies," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(4), pages 276-293, August.
    3. Ren, Xinhui & Pan, Na & Jiang, Hong, 2022. "Differentiated pricing for airline ancillary services considering passenger choice behavior heterogeneity and willingness to pay," Transport Policy, Elsevier, vol. 126(C), pages 292-305.
    4. Mark Friesen & Giuliano Mingardo, 2020. "Is Parking in Europe Ready for Dynamic Pricing? A Reality Check for the Private Sector," Sustainability, MDPI, vol. 12(7), pages 1-11, March.
    5. Shobhana Chandra & Sanjeev Verma, 2023. "Big Data and Sustainable Consumption: A Review and Research Agenda," Vision, , vol. 27(1), pages 11-23, February.
    6. Manuela Rozalia Gabor & Mihaela Kardos & Flavia Dana Oltean, 2022. "Yield Management—A Sustainable Tool for Airline E-Commerce: Dynamic Comparative Analysis of E-Ticket Prices for Romanian Full-Service Airline vs. Low-Cost Carriers," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    7. Jianyu Xu & Yu-Xiang Wang, 2021. "Logarithmic Regret in Feature-based Dynamic Pricing," Papers 2102.10221, arXiv.org, revised Oct 2021.
    8. Yuqi Peng & Mark Ferguson & Övünç Yılmaz, 2023. "Airline revenue management around sporting mega-events: an application using data from the Super Bowl XLIX," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(3), pages 188-200, June.
    9. Rui Qi & Dan Jin & Han Chen & Xichen Mou & Faizan Ali, 2024. "Strategic-level perceived fairness of hotel dynamic pricing: the role of cues and the asymmetric moderating effect of inflation attribution," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(3), pages 249-261, June.
    10. Anshu Agrawal, 2021. "Sustainability of airlines in India with Covid-19: Challenges ahead and possible way-outs," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(4), pages 457-472, 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. Anna Priester & Thomas Robbert & Stefan Roth, 2020. "A special price just for you: effects of personalized dynamic pricing on consumer fairness perceptions," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(2), pages 99-112, April.
    2. Pizzi, Gabriele & Vannucci, Virginia & Shukla, Yupal & Aiello, Gaetano, 2022. "Privacy concerns and justice perceptions with the disclosure of biometric versus behavioral data for personalized pricing tell me who you are, I’ll tell you how much you pay. Consumers’ fairness and p," Journal of Business Research, Elsevier, vol. 148(C), pages 420-432.
    3. Neeraj Arora & Xavier Dreze & Anindya Ghose & James Hess & Raghuram Iyengar & Bing Jing & Yogesh Joshi & V. Kumar & Nicholas Lurie & Scott Neslin & S. Sajeesh & Meng Su & Niladri Syam & Jacquelyn Thom, 2008. "Putting one-to-one marketing to work: Personalization, customization, and choice," Marketing Letters, Springer, vol. 19(3), pages 305-321, December.
    4. Peter Seele & Claus Dierksmeier & Reto Hofstetter & Mario D. Schultz, 2021. "Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing," Journal of Business Ethics, Springer, vol. 170(4), pages 697-719, May.
    5. Alderighi, Marco & Nava, Consuelo R. & Calabrese, Matteo & Christille, Jean-Marc & Salvemini, Chiara B., 2022. "Consumer perception of price fairness and dynamic pricing: Evidence from Booking.com," Journal of Business Research, Elsevier, vol. 145(C), pages 769-783.
    6. Kopalle, Praveen K. & Pauwels, Koen & Akella, Laxminarayana Yashaswy & Gangwar, Manish, 2023. "Dynamic pricing: Definition, implications for managers, and future research directions," Journal of Retailing, Elsevier, vol. 99(4), pages 580-593.
    7. Zhao, Guihong & Cui, Yue & Cheng, Shaoyu, 2021. "Dynamic pricing of ancillary services based on passenger choice behavior," Journal of Air Transport Management, Elsevier, vol. 94(C).
    8. Kim, Jungkeun, 2019. "The impact of different price promotions on customer retention," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 95-102.
    9. Hyun Joung Jin & Eun Young You, 2019. "Do Discounts in Ticket Prices Induce Sustainable Profit to Performing Arts Suppliers?," Sustainability, MDPI, vol. 11(14), pages 1-12, July.
    10. Zheyin (Jane) Gu & Giri K. Tayi, 2015. "Research Note—Investigating Firm Strategies on Offering Consumer-Customizable Products," Information Systems Research, INFORMS, vol. 26(2), pages 456-468, June.
    11. Fennell, Patrick B. & Coleman, Joshua T. & Kuo, Andrew, 2020. "The moderating role of donation quantifiers on price fairness judgments," Journal of Business Research, Elsevier, vol. 110(C), pages 464-473.
    12. Selcuk, Cemil & Gokpinar, Bilal, 2017. "Fixed vs. Flexible Pricing in a Competitive Market," Cardiff Economics Working Papers E2017/9, Cardiff University, Cardiff Business School, Economics Section.
    13. Wei Zhang & Sriram Dasu & Reza Ahmadi, 2017. "Higher Prices for Larger Quantities? Nonmonotonic Price–Quantity Relations in B2B Markets," Management Science, INFORMS, vol. 63(7), pages 2108-2126, July.
    14. Chongwoo Choe & Jiajia Cong & Chengsi Wang, 2024. "Softening Competition Through Unilateral Sharing of Customer Data," Management Science, INFORMS, vol. 70(1), pages 526-543, January.
    15. Rabbanee, Fazlul K. & Roy, Rajat & Sharma, Piyush, 2022. "Contextual differences in the moderating effects of price consciousness and social desirability in pay-what-you-want (PWYW) pricing," Journal of Business Research, Elsevier, vol. 141(C), pages 13-25.
    16. Amit Basu & Sreekumar Bhaskaran, 2018. "An Economic Analysis of Customer Co-design," Information Systems Research, INFORMS, vol. 29(4), pages 787-804, December.
    17. Viglia, Giampaolo & Abrate, Graziano, 2014. "How social comparison influences reference price formation in a service context," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 168-180.
    18. Martin Spann & Bernd Skiera, 2020. "Dynamische Preisgestaltung in der digitalisierten Welt [Dynamic Pricing in a Digitized World]," Schmalenbach Journal of Business Research, Springer, vol. 72(3), pages 321-342, September.
    19. Huseyin Gurkan & Francis de Véricourt, 2022. "Contracting, Pricing, and Data Collection Under the AI Flywheel Effect," Management Science, INFORMS, vol. 68(12), pages 8791-8808, December.
    20. Villanova, Daniel & Bodapati, Anand V. & Puccinelli, Nancy M. & Tsiros, Michael & Goodstein, Ronald C. & Kushwaha, Tarun & Suri, Rajneesh & Ho, Henry & Brandon, Renee & Hatfield, Cheryl, 2021. "Retailer Marketing Communications in the Digital Age: Getting the Right Message to the Right Shopper at the Right Time," Journal of Retailing, Elsevier, vol. 97(1), pages 116-132.

    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:2:d:10.1057_s41272-017-0122-0. 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.