A Comprehensive Study of Sustainability, Fashion and Consumption: Understanding Consumer Behaviour and Clothing Evaluation from a Cross-national Perspective
Notice bibliographique
Résumé
The overarching objectives of this research are twofold: (1) gaining an in-depth understanding of the current trends and developments in “fashion and sustainability” research between 2010 and 2021, identifying research gaps and influential works; and (2) examining the influence of sustainable and non-sustainable product attributes on apparel consumer choices from a cross-national perspective, specifically focusing on Indian and Canadian consumers. Although previous research has explored fashion and sustainability, to the best of my knowledge, no study has undertaken a comprehensive examination of the aforementioned objectives. Prior to this study, no research has been conducted on the significance of (non-)sustainable evaluative cues from the perspectives of both Indian and Canadian apparel consumers. \nThis thesis comprises six chapters that unfold as follows: Chapter 1 establishes the contextual background and research rationale for the topic. Chapter 2 conducts a systematic literature review to provide a comprehensive overview of the research conducted and disseminated on “fashion and sustainability” since 2010. To facilitate data analysis and gain a deeper understanding of the research evolution, various free open-access software tools such as RAKE, VOSviewer and CitNetExplorer were employed. Boolean queries were utilised to search and retrieve 860 articles related to “fashion and sustainability” from the Web of Science. Based on these publications, the research’s geographic distribution, types and approaches (e.g., qualitative, quantitative, case study and systematic literature review), author’s affiliations by country, publication trends, number of cross-national/cultural studies, and major sustainable and non-sustainable attributes were identified and examined. Chapter 3 delves into an extensive literature review of evaluative attributes in apparel, encompassing both sustainable and non-sustainable cues. This review provides insights into consumer buying behaviour across various dimensions, such as sustainable cues versus non-sustainable cues, differences between male and female consumers, and variations between developed and developing nations. Importantly, this information informs the formulation of relevant hypotheses for empirical testing in the subsequent chapter. The chapter also presents and discusses the typology of apparel cues, including intrinsic and extrinsic cues, psychic/aesthetic and physical/functional cues, sustainable and non-sustainable cues and “product-related cues and production-related cues. Chapter 4 outlines the research methodology employed for empirical testing and analysis. Data collection was conducted through self-administered online survey, with various measurement instruments developed based on prior literature. The collected data were analysed using SPSS, employing techniques such as descriptive analysis, t-test and correlation test. Chapter 5 presents the analytical results and discusses the salient impact of various apparel product cues. Additionally, it reports on the differences observed between Canadian and Indian consumers, as well as gender disparities in clothing choice. The final chapter summarised the findings, highlighted the contributions, implications and limitation of the current research, and provides recommendations for future research areas that warrant further investigation.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,004 | 0,009 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,007 | 0,006 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».