Consumers’ perceived benefits barriers and opportunities on technology driven fashion marketing

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Date

2025

Authors

Aylin Çalışkan
Ateş Gül Ergun

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Publisher

Emerald Publishing

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Green Open Access

No

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Abstract

Purpose – This study aims to account for the perceived benefits that emerging technologies in the fashion industry offer barriers which are obstacles that impede the adoption of these technologies and opportunities for the practitioners to decrease the barriers and increase the perceived benefits of emerging technologies as means (i.e. metaverse artificial intelligence and augmented reality) in the fashion industry by exploring consumers’ values perceptions experiences and attitudes toward these technologies in fashion marketing. Design/methodology/approach – The study adopts a theoretical framework combining means-end chain theory and Schwartz’s value theory to examine how individual values shape consumers’ responses to emerging technologies in fashion. In the research semistructured interviews were conducted with 29 individuals in Turkiye with diverse demographic and attitudinal backgrounds and the data was analyzed using thematic analysis. Findings – The findings reveal that consumers perceive emerging technologies in the fashion industry as beneficial for their convenience efficiency and innovative features which are consequently associated with their hedonistic self-directional and stimulative values. In contrast perceived barriers were mainly linked to intangible apprehensions such as personal psychological societal cultural and privacy-related concerns. These were categorized as barriers triggering consumers’ values such as security universalism conformity benevolence and tradition. Based on these perceived benefits and barriers opportunities for professionals were also obtained. Consumers tended to express cooperative suggestions which would increase the level of perceived benefits while decreasing the perceived personal risks. Originality/value – This study presents a value-based interpretive framework that explains consumer responses to fashion technologies by linking concrete technological features to underlying personal values. Additionally the paper’s findings contribute to the industry’s well-coordinated broadly examined and actionable opportunities which are crucial for market insights for fashion professionals. © 2025 Elsevier B.V. All rights reserved.

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Keywords

Artificial Intelligence, Consumer Behavior, Digital Fashion, Digital Marketing, Value-based Framework

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Source

Qualitative Market Research: An International Journal

Volume

28

Issue

Start Page

837

End Page

870
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Scopus : 1

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