IDEAS home Printed from https://ideas.repec.org/a/bla/popmgt/v23y2014i9p1539-1548.html
   My bibliography  Save this article

The Design and Introduction of Product Lines When Consumer Valuations are Uncertain

Author

Listed:
  • Eyal Biyalogorsky
  • Oded Koenigsberg

Abstract

No abstract is available for this item.

Suggested Citation

  • Eyal Biyalogorsky & Oded Koenigsberg, 2014. "The Design and Introduction of Product Lines When Consumer Valuations are Uncertain," Production and Operations Management, Production and Operations Management Society, vol. 23(9), pages 1539-1548, September.
    • Handle: RePEc:bla:popmgt:v:23:y:2014:i:9:p:1539-1548
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/poms.12167
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Seifert, Ralf W. & Tancrez, Jean-Sébastien & Biçer, Işık, 2016. "Dynamic product portfolio management with life cycle considerations," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 71-83.
    2. Yu Wang & Minqiang Li & Haiyang Feng & Nan Feng, 2019. "Optimal sequential releasing strategy for software products in the presence of word-of-mouth and requirements uncertainty," Information Technology and Management, Springer, vol. 20(3), pages 153-174, September.
    3. Benjamin R. Handel & Kanishka Misra, 2015. "Robust New Product Pricing," Marketing Science, INFORMS, vol. 34(6), pages 864-881, November.
    4. Qiang Liu & Xiaofeng Liu & Subramanian Balachander, 2021. "Crowdfunding Project Design: Optimal Product Menu and Funding Target," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3800-3811, October.
    5. Hu, Shu & Zhu, Stuart X. & Fu, Ke, 2023. "Optimal trade-in and refurbishment strategies for durable goods," European Journal of Operational Research, Elsevier, vol. 309(1), pages 133-151.
    6. Xu Guan & Yulan Wang & Zelong Yi & Ying‐Ju Chen, 2020. "Inducing Consumer Online Reviews Via Disclosure," Production and Operations Management, Production and Operations Management Society, vol. 29(8), pages 1956-1971, August.
    7. Esma Koca & Tommaso Valletti & Wolfram Wiesemann, 2021. "Designing Digital Rollovers: Managing Perceived Obsolescence through Release Times," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3698-3712, October.
    8. Gauss, Leandro & Lacerda, Daniel P. & Cauchick Miguel, Paulo A., 2022. "Market-Driven Modularity: Design method developed under a Design Science paradigm," International Journal of Production Economics, Elsevier, vol. 246(C).
    9. Jihyun Hong & Pyoungsoo Lee, 2019. "Supply Chain Contracts under New Product Development Uncertainty," Sustainability, MDPI, vol. 11(23), pages 1-15, December.
    10. Preyas S. Desai & Devavrat Purohit & Bo Zhou, 2018. "Allowing Consumers to Bundle Themselves: The Profitability of Family Plans," Marketing Science, INFORMS, vol. 37(6), pages 953-969, November.
    11. Appel, Gil & Libai, Barak & Muller, Eitan & Shachar, Ron, 2020. "On the monetization of mobile apps," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 93-107.
    12. Kanishka Misra & Eric M. Schwartz & Jacob Abernethy, 2019. "Dynamic Online Pricing with Incomplete Information Using Multiarmed Bandit Experiments," Marketing Science, INFORMS, vol. 38(2), pages 226-252, March.
    13. Baojun Jiang & Hongyan Shi & Tianxin Zou, 2022. "Effects of On‐Demand Product Adjustments on Firm's Pricing and Product Strategies," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1252-1270, March.
    14. Ye, Taofeng & Yang, Huiqiang, 2020. "Price and Quality Management with Strategic Consumers: Whether to Introduce a High or Low Product Variant," Applied Mathematics and Computation, Elsevier, vol. 386(C).

    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:bla:popmgt:v:23:y:2014:i:9:p:1539-1548. 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1937-5956 .

    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.