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Data · dataset · 2026

Data for: What Makes Virtual Influencers Persuasive? A Structural Analysis of Endorsement Effectiveness

Listed in Teesside University Research Data Repository

This dataset supports the research findings presented in the manuscript titled "What Makes Virtual Influencers Persuasive?

Description

A Structural Analysis of Endorsement Effectiveness." It contains the empirical data collected via expert surveys and the subsequent computational matrices used for the Multi-Criteria Decision-Making (MCDM) analysis.

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Computer Science & AI · Earth & Environmental Science · Economics & Finance
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/p9m7t7v58v.111 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:economics-financemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title