IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v170y2006i3p935-949.html
   My bibliography  Save this article

A tactical model for resource allocation and its application to advertising budgeting

Author

Listed:
  • Krieger, Abba M.
  • Green, Paul E.

Abstract

No abstract is available for this item.

Suggested Citation

  • Krieger, Abba M. & Green, Paul E., 2006. "A tactical model for resource allocation and its application to advertising budgeting," European Journal of Operational Research, Elsevier, vol. 170(3), pages 935-949, May.
    • Handle: RePEc:eee:ejores:v:170:y:2006:i:3:p:935-949
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(04)00530-2
    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.

    References listed on IDEAS

    as
    1. Jerry Wind & Paul E. Green & Douglas Shifflet & Marsha Scarbrough, 1989. "Courtyard by Marriott : Designing a Hotel Facility with Consumer-Based Marketing Models," Interfaces, INFORMS, vol. 19(1), pages 25-47, February.
    2. S. Chan Choi & Wayne S. Desarbo & Patrick T. Harker, 1990. "Product Positioning Under Price Competition," Management Science, INFORMS, vol. 36(2), pages 175-199, February.
    3. Paul E. Green & Abba M. Krieger & Yoram Wind, 2001. "Thirty Years of Conjoint Analysis: Reflections and Prospects," Interfaces, INFORMS, vol. 31(3_supplem), pages 56-73, June.
    Full references (including those not matched with items on IDEAS)

    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. Paul E. Green & Abba M. Krieger & Yoram Wind, 2001. "Thirty Years of Conjoint Analysis: Reflections and Prospects," Interfaces, INFORMS, vol. 31(3_supplem), pages 56-73, June.
    2. Mishra, Sanjay & Umesh, U. N., 2005. "Determining the quality of conjoint analysis results using violation of a priori signs," Journal of Business Research, Elsevier, vol. 58(3), pages 301-311, March.
    3. Jeffrey D. Camm & James J. Cochran & David J. Curry & Sriram Kannan, 2006. "Conjoint Optimization: An Exact Branch-and-Bound Algorithm for the Share-of-Choice Problem," Management Science, INFORMS, vol. 52(3), pages 435-447, March.
    4. Merja Halme & Kari Linden & Kimmo Kääriä, 2009. "Patients’ Preferences for Generic and Branded Over-the-Counter Medicines," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 2(4), pages 243-255, December.
    5. Marianne Bertrand & Dean S. Karlan & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2005. "What's Psychology Worth? A Field Experiment in the Consumer Credit Market," Working Papers 918, Economic Growth Center, Yale University.
    6. Atallah, Shadi S. & Huang, Ju-Chin & Leahy, Jessica & Bennett, Karen, 2020. "Preference Heterogeneity and Neighborhood Effect in Invasive Species Control: The Case of Glossy Buckthorn in New Hampshire and Maine Forests," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304623, Agricultural and Applied Economics Association.
    7. Yoon, Moon Gil & Yoon, Duk Young & Yang, Tae Won, 2006. "Impact of e-business on air travel markets: Distribution of airline tickets in Korea," Journal of Air Transport Management, Elsevier, vol. 12(5), pages 253-260.
    8. Norbert Bajkó & Zsolt Fülöp & Kinga Nagyné Pércsi, 2022. "Changes in the Innovation- and Marketing-Habits of Family SMEs in the Foodstuffs Industry, Caused by the Coronavirus Pandemic in Hungary," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    9. Amanda Belarmino & Yoon Koh & Hyejo Hailey Shin, 2022. "Blurred lines: comparing room rates, star-ratings, and user-generated contents for full-service and select-service hotels," Service Business, Springer;Pan-Pacific Business Association, vol. 16(3), pages 721-742, September.
    10. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    11. Heap, Shaun P. Hargreaves & Koop, Christel & Matakos, Konstantinos & Unan, Asli & Weber, Nina Sophie, 2021. "We Cannot Disagree Forever! Reality Polarization and Citizens’ Post-Pandemic Fiscal Adjustment Preferences," SocArXiv 69tup, Center for Open Science.
    12. Emmanuel Olateju Oyatoye & Sulaimon Olanrewaju Adebiyi & Bilqis Bolanle Amole, 2013. "An Application of Conjoint Analysis to Consumer Preference for Beverage Products in Nigeria," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(6), pages 43-56, December.
    13. Bard, Sharon K. & Craig, Dawn J. & Boehlje, Michael, 2002. "Borrower Preferences In The Agricultural Credit Market: A Conjoint Analysis," Staff Papers 28628, Purdue University, Department of Agricultural Economics.
    14. John Liechty & Duncan Fong & Eelko Huizingh & Arnaud Bruyn, 2008. "Hierarchical Bayesian conjoint models incorporating measurement uncertainty," Marketing Letters, Springer, vol. 19(2), pages 141-155, June.
    15. Christian P Theurer & Andranik Tumasjan & Isabell M Welpe, 2018. "Contextual work design and employee innovative work behavior: When does autonomy matter?," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-35, October.
    16. Shakila Yasmin & Khaled Mahmud & Farzan Afrin, 2016. "Job Attribute Preference of Executives: A Conjoint Analysis," Asian Social Science, Canadian Center of Science and Education, vol. 12(2), pages 1-68, February.
    17. Kick, Markus & Littich, Martina, 2015. "Brand and Reputation as Quality Signals on Regulated Markets," EconStor Preprints 182503, ZBW - Leibniz Information Centre for Economics.
    18. Dean A. Shepherd & Holger Patzelt, 2015. "Harsh Evaluations of Entrepreneurs Who Fail: The Role of Sexual Orientation, Use of Environmentally Friendly Technologies, and Observers' Perspective Taking," Journal of Management Studies, Wiley Blackwell, vol. 52(2), pages 253-284, March.
    19. Meixner, Oliver & Haas, Rainer & Pochtrager, Siegfried, 2007. "Importance and Relevance of Quality Labels in the Austrian Meat Supply Chain," 2007 1st Forum, February 15-17, 2007, Innsbruck, Austria 6598, International European Forum on System Dynamics and Innovation in Food Networks.
    20. Liu, Yong & Teichert, Thorsten & Rossi, Matti & Li, Hongxiu & Hu, Feng, 2017. "Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews," Tourism Management, Elsevier, vol. 59(C), pages 554-563.

    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:ejores:v:170:y:2006:i:3:p:935-949. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.