Evidence map›Paper›PMID 42323357›Full record

ArticleScientific reports2026

Effects of anchor characteristics and product attributes on consumer purchase decisions in live streaming sales: evidence from an eye-tracking study.

Ma Jun, Zhou Xiaohong, Yi Ding, Wei Lyu, Wen-Gang Zhang, Chao Shen, Bin-Xiu Xu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ma JunSchool of Economics and Management, Anhui Polytechnic University, Wuhu, 241000, China.
Zhou XiaohongSchool of Economics and Management, Anhui Polytechnic University, Wuhu, 241000, China.
Yi DingSchool of Economics and Management, Anhui Polytechnic University, Wuhu, 241000, China. yding@ahpu.edu.cn.
Wei LyuSchool of Economics and Management, Anhui Polytechnic University, Wuhu, 241000, China.
Wen-Gang ZhangSchool of Economics and Management, Anhui Polytechnic University, Wuhu, 241000, China.
Chao ShenSchool of Economics and Management, Anhui Polytechnic University, Wuhu, 241000, China.
Bin-Xiu XuSchool of Economics and Management, Anhui Polytechnic University, Wuhu, 241000, China.

Funding

Anhui Philosophy and Social Sciences Planning Project 2024CX070Anhui Provincial Philosophy and Social Sciences Planning Project AHSKYQ2025D47Anual Project of Commerce Statistical Society of China 2025STY128Ministry of Education Supply-Demand Match Employment Education Project No. 2025061315034Scientific Research Project of Anhui Provincial Department of Education 2024AH052240Scientific Research Project of Anhui Provincial Department of Education 2025AHGXSK30552
6 · The paper itself

Abstract

As live streaming sales have become a significant model in e-commerce, a critical scientific question arises: how should the characteristics of anchor combinations be matched with product attributes to enhance consumers' purchase intention? Based on a 5 × 2 × 2 experimental design, this study investigates the interactive effects of anchor combination mode (single male, single female, male pair, female pair, mixed-gender pair), product type (search-based vs. experience-based), and the gender orientation of the target audience (male-oriented vs. female-oriented) on consumers' purchase intention. The study recruited 95 participants and employed a multi-dimensional quantitative approach combining eye-tracking technology with self-report scales. Metrics such as average pupil diameter, fixation duration, and total number of fixations were used to capture consumers' cognitive load and visual attention distribution during the decision-making process. Data analysis utilized repeated-measures analysis of variance (ANOVA), supplemented by post-hoc tests and simple effect analysis to reveal interactions and specific differences among variables. The results indicate a dual-pathway mechanism in live streaming consumption decisions: a Bottom-Up Pathway for processing product information and a Top-Down Pathway for social evaluation of the anchor. These two pathways show functional dissociation between eye-tracking metrics and behavioral intentions. This research provides empirical evidence and practical guidance for brands to precisely configure anchor combinations based on product attributes and to employ a "mixed-gender pairing" strategy to mitigate the risks associated with gender mismatch.

Indexed as

CommerceConsumer BehaviorDecision MakingEye-Tracking TechnologyAdultFemaleHumansMaleYoung AdultAnchor genderDual-path processing modelEye-trackingLive-streaming e-commerceProduct genderPurchase intention

Identifiers

PMID42323357
PMCPMC13558707

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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.