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Record W4223563677 · doi:10.3390/jrfm15040176

The Impact of Fashion Brand Sustainability on Consumer Purchasing Decisions

2022· article· en· W4223563677 on OpenAlexvenueno aff
Doroteja Mandarić, Anica Hunjet, Dijana Vuković

Bibliographic record

VenueJournal of risk and financial management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingSustainabilityMarketingBusinessClothingProduct (mathematics)PerceptionDescriptive statisticsAdvertisingConsumer behaviourFashion industryPsychology

Abstract

fetched live from OpenAlex

The focus of this confirmatory research was on consumer attitudes towards the sustainability of fashion brands and how these attitudes influence their purchasing decisions. The aim was to explore if the gap between attitudes and purchasing behaviour was present within Croatian consumers to the same extent as previous research has shown. A survey was conducted of 263 respondents with purchasing power to examine their perception, awareness of, and attitudes towards sustainability and eco-fashion as consumers. The data collected were analysed using descriptive statistics and correlation analysis. The results suggest that participants have a positive attitude towards the sustainability of fashion brands. Moreover, a positive correlation was found between the importance of fashion brand sustainability and consumers’ decisions to buy sustainable clothing products. However, the sustainability of a fashion brand or product is among the least important factors in their purchasing decision. This could mean that their positive attitude may not necessarily be reflected in actual purchasing behaviour, which is consistent with previous research. The results of this study provide a framework for a greater understanding of the various factors that may influence consumer behaviour, such as the sustainability of a fashion brand or product, potentially facilitating the development of relevant strategies in the fashion industry and changing the way fashion works and is perceived in the future.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.234
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations138
Published2022
Admission routes1
Has abstractyes

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