EconPapers    
Economics at your fingertips  
 

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

Onur Onay

International Journal of Academic Research in Business and Social Sciences, 2016, vol. 6, issue 1, 164-173

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.

Keywords: Neuromarketing; Neuroscience; Weapon target assignment problem; Nonlinear programming; Military Operations research (search for similar items in EconPapers)
JEL-codes: C65 D87 (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hrmars.com/hrmars_papers/A_Mathematical_App ... Assignment_Model.pdf (application/pdf)
http://hrmars.com/hrmars_papers/A_Mathematical_App ... Assignment_Model.pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hur:ijarbs:v:6:y:2016:i:1:p:164-173

Access Statistics for this article

More articles in International Journal of Academic Research in Business and Social Sciences from Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences
Bibliographic data for series maintained by Hassan Danial Aslam ().

 
Page updated 2025-03-19
Handle: RePEc:hur:ijarbs:v:6:y:2016:i:1:p:164-173