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CONSUMER EMOTION – A NEUROMARKETING RESEARCH

Authors: Nik Nur Azhani Anuar; Salmi Mohd Isa;

CONSUMER EMOTION – A NEUROMARKETING RESEARCH

Abstract

We are exposed to over 2000 ads throughout our lives, the average adult can recognize thousands of brands, 700 new products are being offered daily to consumers, two million brands are competing for us, children are exposed today to 40,000 publicities each year and can recognize logos at 18 months. In terms of perception, attention and memory design, emotions can play an especially significant part. Emotions play an important element in how we behave and think. The emotion we feel every day could influence the decision making in our life. Based on Eysenck’s theory, behavioral differences between individual are influence by the differential arousal. This study was implemented with neuromarketing approach to investigate the effect of arousal level on the process of emotion. ERP was recorded in 90 participants recruited from Health Campus, Universiti Sains Malaysia (USM) participated in ERP recording. Visual stimuli were taken randomly from International Affective Picture System (IAPS) and categories into three groups (high, moderate, low) based on the normative mean values of IAPS. In the present study, analysis for P300 component, the effect of arousal level is significant at Cz and Pz electrodes for both amplitude and latency. Meanwhile, O2 electrode indicated significant result for the latency parameter. It’s clear that, consumer emotion could be influence by the level of arousal. This finding shows that, Eysenck’s theory on the connection between individual behavior and level of arousal emotion almost supported. On the basis of the results of the study, marketing managers could prepare effective marketing strategies in order to concentrate consumer arousal emotions to meet their goal and benefit.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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