IDEAS home Printed from https://ideas.repec.org/p/dar/wpaper/56546.html
   My bibliography  Save this paper

Price Discrimination in E-Commerce? An Examination of Dynamic Pricing in Name-Your-Own-Price Markets Management Information Systems Quarterly (MISQ)

Author

Listed:
  • Hinz, Oliver
  • Hann, Il-Horn
  • Spann, Martin

Abstract

No abstract is available for this item.

Suggested Citation

  • Hinz, Oliver & Hann, Il-Horn & Spann, Martin, 2011. "Price Discrimination in E-Commerce? An Examination of Dynamic Pricing in Name-Your-Own-Price Markets Management Information Systems Quarterly (MISQ)," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 56546, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:56546
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/56546/
    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. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
    2. 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.
    3. Zhang, Xubing & Jiang, Bo, 2014. "Increasing Price Transparency: Implications of Consumer Price Posting for Consumers' Haggling Behavior and a Seller's Pricing Strategies," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 68-85.
    4. Sahar Karimi, 2021. "Cross-visiting Behaviour of Online Consumers Across Retailers’ and Comparison Sites, a Macro-Study," Information Systems Frontiers, Springer, vol. 23(3), pages 531-542, June.
    5. Martin Spann & Oliver Hinz & Vandana Ramachandran, 2013. "Business and Information Systems Engineering and Marketing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 127-128, June.
    6. Krämer, Florentin & Schmidt, Klaus M. & Spann, Martin & Stich, Lucas, 2017. "Delegating pricing power to customers: Pay What You Want or Name Your Own Price?," Journal of Economic Behavior & Organization, Elsevier, vol. 136(C), pages 125-140.
    7. Daniel Veit & Eric Clemons & Alexander Benlian & Peter Buxmann & Thomas Hess & Dennis Kundisch & Jan Leimeister & Peter Loos & Martin Spann, 2014. "Business Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(1), pages 45-53, February.
    8. Maurits Kaptein & Robin van Emden & Davide Iannuzzi, 2017. "Uncovering noisy social signals: Using optimization methods from experimental physics to study social phenomena," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-14, March.
    9. Joo, Mingyu & Mazumdar, Tridib & Raj, S.P., 2012. "Bidding Strategies and Consumer Savings in NYOP Auctions," Journal of Retailing, Elsevier, vol. 88(1), pages 180-188.
    10. Michaela Sprenger & Tobias Mettler & Robert Winter, 2017. "A viability theory for digital businesses: Exploring the evolutionary changes of revenue mechanisms to support managerial decisions," Information Systems Frontiers, Springer, vol. 19(4), pages 899-922, August.
    11. Irina Heimbach & Daniel Kostyra & Oliver Hinz, 2015. "Marketing Automation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(2), pages 129-133, April.
    12. 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.
    13. Catherine Cleophas & Daniel Kadatz & Sebastian Vock, 2017. "Resilient revenue management: a literature survey of recent theoretical advances," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(5), pages 483-498, October.
    14. Gesche, Tobias, 2018. "Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181650, Verein für Socialpolitik / German Economic Association.
    15. Yifan Dou & Marius F. Niculescu & D. J. Wu, 2013. "Engineering Optimal Network Effects via Social Media Features and Seeding in Markets for Digital Goods and Services," Information Systems Research, INFORMS, vol. 24(1), pages 164-185, March.
    16. Nicole Koschate-Fischer & Katharina Wüllner, 2017. "New developments in behavioral pricing research," Journal of Business Economics, Springer, vol. 87(6), pages 809-875, August.
    17. Zhang, Mingyang & Zhang, Juliang & Cheng, T.C.E. & Hua, Guowei, 2018. "Why and how do branders sell new products on flash sale platforms?," European Journal of Operational Research, Elsevier, vol. 270(1), pages 337-351.
    18. Michaela Sprenger & Tobias Mettler & Robert Winter, 0. "A viability theory for digital businesses: Exploring the evolutionary changes of revenue mechanisms to support managerial decisions," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    19. John Aloysius & Cary Deck & Amy Farmer, 2013. "Sequential Pricing of Multiple Products: Leveraging Revealed Preferences of Retail Customers Online and with Auto-ID Technologies," Information Systems Research, INFORMS, vol. 24(2), pages 372-393, June.
    20. Michael Nofer & Oliver Hinz & Jan Muntermann & Heiko Roßnagel, 2014. "The Economic Impact of Privacy Violations and Security Breaches," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(6), pages 339-348, December.
    21. Spann, Martin & Häubl, Gerald & Skiera, Bernd & Bernhardt, Martin, 2012. "Bid-Elicitation Interfaces and Bidding Behavior in Retail Interactive Pricing," Journal of Retailing, Elsevier, vol. 88(1), pages 131-144.

    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:dar:wpaper:56546. 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: Dekanatssekretariat (email available below). General contact details of provider: https://edirc.repec.org/data/ivthdde.html .

    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.