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ZENODO
Journal . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2024
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2024
License: CC BY
Data sources: Datacite
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EXPLORING CONSUMER PERCEPTIONS OF AI-DESIGNED BAGS IN THE FASHION WORLD

Authors: Ling, Wei; Jianhua, Li;

EXPLORING CONSUMER PERCEPTIONS OF AI-DESIGNED BAGS IN THE FASHION WORLD

Abstract

The integration of artificial intelligence (AI) in the fashion and design industry has revolutionized product creation, including the realm of bags. This study investigates consumer acceptance of AI-designed bags across various categories, such as luxury, mass branded, and unbranded bags. Drawing from prior research, which highlights AI's ability to drive innovation in design [1] and the varying consumer responses to AI-designed products across categories [2], our research delves into the specific context of bags. We aim to discern how AI-designed bags, in comparison to those crafted by human designers, impact consumer favorability and purchase attitudes.

Related Organizations
Keywords

Artificial Intelligence, Bags, Consumer Acceptance, Fashion Industry, Design Innovation

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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
Average
Average