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Technological Forecasting and Social Change
Article . 2022 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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UiS Brage
Article . 2022
Data sources: UiS Brage
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Transforming consumers' intention to purchase green products: Role of social media

Authors: Nekmahmud, Md.; Naz, Farheen; Ramkissoon, Haywantee; Fekete-Farkas, Maria;

Transforming consumers' intention to purchase green products: Role of social media

Abstract

Refereed/Peer-reviewed This research aims to examine consumers' green product purchasing intentions and observe how social media marketing (SMM) and social media usage (SMU) actively influence consumers' sustainable consumption behavior. We propose a new model for evaluating consumers' green purchase intentions (GPI) through social media (SM) by expanding the Theory of Planned Behavior (TPB) with additional variables, namely green thinking, social media usage, and social media marketing. 785 usable responses were collected using a self-administered questionnaire, and PLS-SEM was applied to perform the analysis. Findings suggest that attitude, subjective norms, perceived behavior control, green thinking, and social media marketing have a strong and positive association with the intention to purchase green products on social media. To the best of the authors' knowledge, this is the first empirical research to explore the moderating-mediating impact of social media usage interaction on the proposed TPB model, bridging research gaps by investigating the effect of consumers' green purchase intentions. Theoretical, managerial, and policy contributions are discussed.

Countries
Norway, Australia
Keywords

social media, social media marketing, structural equation model, VDP::Samfunnsvitenskap: 200, green products, theory of planned behavior, green marketing

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    211
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
211
Top 0.1%
Top 10%
Top 0.1%
Green
hybrid