IDEAS home Printed from https://ideas.repec.org/b/spr/isorms/978-1-4939-9606-3.html
   My bibliography  Save this book

Revenue Management and Pricing Analytics

Author

Listed:
  • Guillermo Gallego
  • Huseyin Topaloglu

    (Cornell University)

Abstract

No abstract is available for this item.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Guillermo Gallego & Huseyin Topaloglu, 2019. "Revenue Management and Pricing Analytics," International Series in Operations Research and Management Science, Springer, number 978-1-4939-9606-3, March.
    • Handle: RePEc:spr:isorms:978-1-4939-9606-3
    DOI: 10.1007/978-1-4939-9606-3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Bechler, Georg & Steinhardt, Claudius & Mackert, Jochen & Klein, Robert, 2021. "Product line optimization in the presence of preferences for compromise alternatives," European Journal of Operational Research, Elsevier, vol. 288(3), pages 902-917.
    2. Işık Biçer, & Florian Lücker, & Tamer Boyaci,, 2019. "Beyond retail stores: Managing product proliferation along the supply chain," ESMT Research Working Papers ESMT-19-02_R2, ESMT European School of Management and Technology, revised 16 Mar 2021.
    3. Qi Feng & J. George Shanthikumar & Mengying Xue, 2022. "Consumer Choice Models and Estimation: A Review and Extension," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 847-867, February.
    4. Andre P. Calmon & Florin D. Ciocan & Gonzalo Romero, 2021. "Revenue Management with Repeated Customer Interactions," Management Science, INFORMS, vol. 67(5), pages 2944-2963, May.
    5. Kameng Nip & Changjun Wang & Zizhuo Wang, 2022. "Competitive and Cooperative Assortment Games under Markov Chain Choice Model," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1033-1051, March.
    6. Ilan Lobel, 2021. "Revenue Management and the Rise of the Algorithmic Economy," Management Science, INFORMS, vol. 67(9), pages 5389-5398, September.
    7. Bing Wang & Wenjie Bi & Haiying Liu, 2023. "Dynamic Pricing with Parametric Demand Learning and Reference-Price Effects," Mathematics, MDPI, vol. 11(10), pages 1-14, May.
    8. Guillermo Gallego & Gerardo Berbeglia, 2021. "The Limits of Personalization in Assortment Optimization," Papers 2109.14861, arXiv.org, revised Jun 2024.
    9. Athanassios N. Avramidis & Arnoud V. Boer, 2021. "Dynamic pricing with finite price sets: a non-parametric approach," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 94(1), pages 1-34, August.
    10. Milad HajMirzaei & Koorush Ziarati & Alireza Nikseresht, 2022. "A customer type discovery algorithm in hotel revenue management systems," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 200-211, April.
    11. Santiago R. Balseiro & Antoine Désir, 2023. "Incentive-Compatible Assortment Optimization for Sponsored Products," Management Science, INFORMS, vol. 69(8), pages 4668-4684, August.
    12. Kevin R. Williams, 2017. "Dynamic Airline Pricing and Seat Availability," Cowles Foundation Discussion Papers 2103R, Cowles Foundation for Research in Economics, Yale University, revised May 2020.
    13. Thomas Loots & Arnoud V. den Boer, 2023. "Data‐driven collusion and competition in a pricing duopoly with multinomial logit demand," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1169-1186, April.
    14. Jue Wang, 2021. "Optimal Bayesian Demand Learning over Short Horizons," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 1154-1177, April.
    15. Sergiy Tkachuk & Szymon {L}ukasik & Anna Wr'oblewska, 2024. "Consumer Transactions Simulation through Generative Adversarial Networks," Papers 2408.03655, arXiv.org.
    16. Kevin R. Williams, 2017. "The Welfare Effects of Dynamic Pricing: Evidence from Airline Markets," Cowles Foundation Discussion Papers 2103R2, Cowles Foundation for Research in Economics, Yale University, revised Jun 2021.
    17. Kedar Pandurang Joshi & Amol Dhaigude, 2021. "Revenue management for homestay with TODIM-integrated EMSR-b," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(2), pages 134-148, April.
    18. Fleckenstein, David & Klein, Robert & Steinhardt, Claudius, 2023. "Recent advances in integrating demand management and vehicle routing: A methodological review," European Journal of Operational Research, Elsevier, vol. 306(2), pages 499-518.
    19. Haihao Lu & Luyang Zhang, 2024. "The Power of Linear Programming in Sponsored Listings Ranking: Evidence from Field Experiments," Papers 2403.14862, arXiv.org.
    20. Guillermo Gallego & Gerardo Berbeglia, 2024. "Bounds and Heuristics for Multiproduct Pricing," Management Science, INFORMS, vol. 70(6), pages 4132-4144, June.
    21. Zhaohua Chen & Chang Wang & Qian Wang & Yuqi Pan & Zhuming Shi & Zheng Cai & Yukun Ren & Zhihua Zhu & Xiaotie Deng, 2022. "Dynamic Budget Throttling in Repeated Second-Price Auctions," Papers 2207.04690, arXiv.org, revised Dec 2023.
    22. Manuel A. Nunez & Xue Bai & Linna Du, 2021. "Leveraging Slack Capacity in IaaS Contract Cloud Services," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 883-901, April.
    23. Julia Heger & Robert Klein, 2024. "Assortment optimization: a systematic literature review," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(4), pages 1099-1161, December.
    24. Zhenzhen Yan & Karthik Natarajan & Chung Piaw Teo & Cong Cheng, 2022. "A Representative Consumer Model in Data-Driven Multiproduct Pricing Optimization," Management Science, INFORMS, vol. 68(8), pages 5798-5827, August.

    Book Chapters

    The following chapters of this book are listed in IDEAS

    More about this item

    Statistics

    Access and download statistics

    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:spr:isorms:978-1-4939-9606-3. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.springer.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.