Title From empathy to value: user-generated content inferred emotional intelligence in the context of second-hand clothing purchases online
Authors Salciuviene, Laura ; Šeinauskienė, Beata ; Lukauskas, Mantas ; Dovalienė, Aistė ; Gadeikienė, Agnė ; Banytė, Jūratė
DOI 10.1057/s41270-025-00442-2
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Is Part of Journal of marketing analytics.. Basingstoke : Springer. 2025, vol. Early Access, iss. Early Access, p. 1-16.. ISSN 2050-3318. eISSN 2050-3326
Abstract [eng] The paper investigates how emotional intelligence relates to perceived consumer value in the context of purchasing second-hand clothing online. The study uses a dataset (477 randomly selected from 125,145 web scraped with Playwright) of user-generated online reviews about second-hand clothing transactions. The study utilises the Trait Activation Theory to propose novel explanations by examining the nuanced relationship between emotional intelligence and perceived consumer value when purchasing second-hand clothing online. The study’s findings indicate that emotional intelligence-embedded online reviews have more pronounced second-hand clothing emotional, green, social, functional, and economic value perceptions. By examining empathy-driven interactions and situational cues, our research highlights the impact of emotional intelligence on the perceived value of second-hand clothing transactions online, contributing to consumer psychology literature and the growth of ethical fashion in the e-commerce context.
Published Basingstoke : Springer
Type Journal article
Language English
Publication date 2025
CC license CC license description