Evidence map›Paper›PMID 42245610›Full record

ArticleFrontiers in psychology2026

Online shopping motivations and behavioral heterogeneity of digital nomads in livestream e-commerce: the moderating role of celebrity worship.

Bingjie Sun, Wenjing Ke

Abstract read
In one paragraph

Article in Frontiers in psychology, 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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0cells of the map it votes in
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

2 authors.

Bingjie SunSchool of Business Administration, Xinjiang University of Science & Technology, Korla, China.
Wenjing KeCollege of Business, Wuyi University, Wuyishan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Digital nomads constitute a heterogeneous and rapidly growing consumer segment in livestream e-commerce, yet their motivational structure and the conditional role of celebrity worship in shaping their behavior remain underexplored, particularly in the context of digital transformation of China's characteristic forest-fruit industries. Methods: This study employs a three-wave mixed-methods design combining in-depth interviews, qualitative text mining, and quantitative questionnaire surveys with 1,255 Chinese digital nomads (including a third-wave subsample of 250 from Southern Xinjiang). Factor analysis, K-means clustering, hierarchical regression, and robustness checks were conducted to identify motivational dimensions, classify subgroups, and test moderation effects. Results: Six motivational dimensions and 21 sub-indicators were identified: understanding influencer recommendations, seeking social interaction, achieving shopping convenience, building identity recognition, obtaining entertainment experiences, and participating in online communities. Cluster analysis revealed four motivational types (social interaction, comprehensive identification, practical convenience, identity pursuit). Celebrity worship significantly moderated key motivation-behavior relationships, positively moderating identity recognition's effect on satisfaction and repurchase intention, and negatively moderating entertainment seeking's effect on satisfaction. Findings replicated in the Southern Xinjiang subsample. Discussion: This study addresses gaps in dimensional motivation research, enriches understanding of within-group heterogeneity, provides a validated measurement tool, and offers practical guidance for platforms and merchants in optimizing marketing strategies. The findings provide a transferable consumer-side framework for livestream-channel strategies in the digital transformation of characteristic forest-fruit and specialty agricultural industries.

Indexed as

agricultural livestream e-commercecharacteristic forest-fruit industrydigital nomad online shoppinginfluencer worshiponline shopping behavioronline shopping motivationparasocial relationships

Identifiers

PMID42245610
PMCPMC13230086

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.