Evidence map›Paper›PMID 34248527›Full record

ArticleFrontiers in human neuroscience2021

An Investigation of a Frontal Negative Slow Wave in a Virtual Hedonic Purchase Task.

Yupeng Mei, Kunpeng Jing, Lele Chen, Rui Shi, Zhijie Song

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Yupeng MeiSchool of Economics and Management, Yanshan University, Qinhuangdao, China.
Kunpeng JingSchool of Economics and Management, Yanshan University, Qinhuangdao, China.
Lele ChenSchool of Economics and Management, Yanshan University, Qinhuangdao, China.
Rui ShiSchool of Economics and Management, Yanshan University, Qinhuangdao, China.
Zhijie SongSchool of Economics and Management, Yanshan University, Qinhuangdao, China.
Yanshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a connection between the frontal negative slow wave (FNSW) and the arousal inhibition in the hedonic purchase context. To calculate the FNSW (400-800 ms), event-related potentials (ERPs) method was applied to depict the neural substrates on prudent and impulsive consumers' behaviors within various states of promotion. Promotion types include the pure price promotion and the mixed promotion (a mixture of a charitable donation and a discount). Behaviorally, consumers response more quickly in the pure price promotion condition and they express a preference for the mixed promotion. More importantly, a larger FNSW emerged in the impulsive consumers than the prudent, suggesting that the former might tend to control their eagerness to consume hedonic items. Compared with the price promotion as the worse option, the mixed promotion as the better option caused more perceptual conflict, leading to an increase in N2 amplitude. It suggests that consumers incline to reject the worse offers. These results also reveal that people primarily have to search negative promotion information by their insight and subsequently impulsive consumers inhibit the responses to the promotion information. The method of ERPs and FNSW should be helpful for marketing researchers and professionals on hedonic consumption and sales promotion.

Indexed as

consumer neurosciencefrontal negative slow-waveimpulsivityinhibitionN2

Identifiers

PMID34248527
PMCPMC8264297
OpenAlexW3174441282

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.