IDEAS home Printed from https://ideas.repec.org/a/hur/ijarbs/v6y2016i1p164-173.html
   My bibliography  Save this article

A Mathematical Approach to Neuromarketing: A Weapon – Target Assignment Model

Author

Listed:
  • Onur Onay

Abstract

This study developed a nonlinear mathematical optimization model. The aim of the study is to look neuromarketing from a mathematical perspective. The model originates from the wellknown weapon target assignment problem in military operations research. This study proposes that the model can be properly adapted to neuroscience and business applications. The objective of the model is maximizing the total expected satisfaction ratio of people by understanding the functioning of their brain activities under neuroscientific and budget constraints. The recipe is applied to neuromarketing by a hypothetical example which is solved by MS Excel’s Solver.

Suggested Citation

  • Onur Onay, 2016. "A Mathematical Approach to Neuromarketing: A Weapon – Target Assignment Model," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(1), pages 164-173, January.
    • Handle: RePEc:hur:ijarbs:v:6:y:2016:i:1:p:164-173
    as

    Download full text from publisher

    File URL: http://hrmars.com/hrmars_papers/A_Mathematical_Approach_to_Neuromarketing_A_Weapon_Target_Assignment_Model.pdf
    Download Restriction: no
    File URL: http://hrmars.com/hrmars_papers/A_Mathematical_Approach_to_Neuromarketing_A_Weapon_Target_Assignment_Model.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Afshan Naseem & Shoab Ahmed Khan & Asad Waqar Malik, 2017. "A real-time man-in-loop threat evaluation and resource assignment in defense," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(6), pages 725-738, June.

    More about this item

    Keywords

    Neuromarketing; Neuroscience; Weapon target assignment problem; Nonlinear programming; Military Operations research;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

    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:hur:ijarbs:v:6:y:2016:i:1:p:164-173. 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: Hassan Danial Aslam (email available below). General contact details of provider: http://hrmars.com/index.php/pages/detail/IJARBSS .

    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.