학술논문

EEG-based Online Purchase Decisions and Preferences in Neuromarketing Considering Eco-design
Document Type
Conference
Source
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Industrial Engineering and Engineering Management (IEEM), 2023 IEEE International Conference on. :1748-1752 Dec, 2023
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Industries
Image color analysis
Neuromarketing
Oral communication
Brain modeling
Behavioral sciences
Sustainable development
EEG
Online Purchase
Theory of Planned Behavior
Language
Abstract
This paper examines the importance of different features that can be displayed on a website environment and their impact on customers' preferences, decisions, and behavior. The features under investigation in this research include promotional offers, product information, electronic word of mouth, sustainability, warm-tone color, cool-tone color, and music. The study focuses specifically on the fashion retail industry, aiming to provide insights for improving website environments to attract more customers. To investigate the effect of different features on customers' preferences and decisions, a research model based on the Theory of Planned Behavior and the Stimulus-Organism-Response model has been proposed. The study also incorporates the use of Electroencephalogram (EEG) technology from neuromarketing research. Participants in the experiment were asked to wear a device that detects their brain activity during the experimental setup. The results of the study revealed that factors such as promotional offers, colors, and music significantly influence customers' purchase behavior.