Paper Info
Title
A fuzzy scenario-based approach to analyzing neuromarketing technology evaluation factors
Abstract
Neuromarketing, which uses neuroimaging techniques for marketing goals, is the application of neuroscientific methods to analyze and understand consumer behavior according to marketing initiatives. Medical diagnostic devices for brain imaging are utilized by marketers as neuromarketing technologies. This paper proposes a fuzzy scenario-based approach to analyzing neuromarketing technology evaluation criteria. Fuzzy cognitive map methodology, which is originated from the combination of fuzzy logic and neural networks, is employed due to the cause-and-effect relationships between pair of factors, presence of conflicting criteria, positive as well as negative relationships among factors, and lack of crisp data. Importance degrees of each evaluation factor are computed, and then, four different scenario analyses are provided to understand the influence of an increase or a decrease in the power of specific factor(s) on other factors. Throughout the literature, this is the first study that considers multiple and conflicting criteria framework of neuromarketing technology evaluation problem.
Year
DOI
Venue
2019
10.1007/s00500-019-03770-5
Soft Computing
Keywords
Field
DocType
Neuromarketing, Technology selection, Fuzzy cognitive map, Scenario analyses, Cause-and-effect relations
Neuromarketing,Computer science,Consumer behaviour,Medical diagnostic,Fuzzy cognitive map,Fuzzy logic,Artificial intelligence,Artificial neural network,Machine learning
Journal
Volume
Issue
ISSN
23.0
23.0
1433-7479
Citations 
PageRank 
References 
0
0.34
19
Authors
2
Name
Order
Citations
PageRank
Nazli Göker141.78
Mehtap Dursun21215.93