Value delivery in green consumption: the effect of advertisement value proposition on consumer perception and purchase intention.

S-D logic advertisement believability green advertising temporal framing value co-creation

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2024
Historique:
received: 15 11 2023
accepted: 08 01 2024
medline: 7 2 2024
pubmed: 7 2 2024
entrez: 7 2 2024
Statut: epublish

Résumé

Amid the expanding green consumer market, companies are increasingly emphasizing their eco-friendly contributions in advertising. This study delves into the value delivery process within green consumption, guided by the service-dominant logic (S-D logic). A survey-based experiment with 589 responses reveals that the information frame in advertising significantly impacts consumer value perceptions and purchase intentions. Notably, the temporal frame of advertising plays a pivotal role, influencing consumers' value perceptions. Future framing enhances emotional value perceptions, while past framing promotes environmental value perceptions. This research enhances our understanding of value delivery mechanisms in green consumption and holds valuable implications for marketers of sustainable products.

Identifiants

pubmed: 38323163
doi: 10.3389/fpsyg.2024.1339197
pmc: PMC10844521
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1339197

Informations de copyright

Copyright © 2024 Zhang, Liu and Li.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Yan Zhang (Y)

School of Economics and Management, Beijing Forestry University, Beijing, China.

Jiaqi Liu (J)

School of Economics and Management, Beijing Forestry University, Beijing, China.

Xiaoyong Li (X)

School of Economics and Management, Beijing Forestry University, Beijing, China.

Classifications MeSH