IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v38y1995i2-3p245-253.html
   My bibliography  Save this article

Optimal pricing and product-planning for new multiattribute products based on conjoint analysis

Author

Listed:
  • Yoo, Dong-il
  • Ohta, Hiroshi

Abstract

No abstract is available for this item.

Suggested Citation

  • Yoo, Dong-il & Ohta, Hiroshi, 1995. "Optimal pricing and product-planning for new multiattribute products based on conjoint analysis," International Journal of Production Economics, Elsevier, vol. 38(2-3), pages 245-253, March.
    • Handle: RePEc:eee:proeco:v:38:y:1995:i:2-3:p:245-253
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0925-5273(95)00003-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. L. X. Cui, 2016. "Joint optimization of production planning and supplier selection incorporating customer flexibility: an improved genetic approach," Journal of Intelligent Manufacturing, Springer, vol. 27(5), pages 1017-1035, October.
    2. Wen Wu & Chin Lin & Kua Peng, 2009. "Determination of a hospital management policy using conjoint analysis in the analytic network process," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(1), pages 145-154, January.
    3. Harrison, R. Wes & Gillespie, Jeffrey M. & Fields, Deacue, 2005. "Analysis of Cardinal and Ordinal Assumptions in Conjoint Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 34(2), pages 1-15, October.
    4. Tappenden, P & Brazier, J & Ratcliffe, J, 2006. "Does the National Institute for Health and Clinical Excellence take account of factors such as uncertainty and equity as well as incremental cost-effectiveness in commissioning health care services? A," MPRA Paper 29772, University Library of Munich, Germany.
    5. Kleijnen, Jack P.C. & van Schaik, Frans D.J., 2011. "Sealed-bid auction of Netherlands mussels: Statistical analysis," International Journal of Production Economics, Elsevier, vol. 132(1), pages 154-161, July.
    6. Erik Haugom & Iveta Malasevska & Gudbrand Lien, 2021. "Optimal pricing of alpine ski passes in the case of crowdedness and reduced skiing capacity," Empirical Economics, Springer, vol. 61(1), pages 469-487, July.

    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:eee:proeco:v:38:y:1995:i:2-3:p:245-253. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.