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Sustainable green product adoption test using logistic regression: Comparison of glass and electronic products

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Marketing literature emphasizes the importance of green product adoption for environmental sustainability. However, consumers’ evaluations of the key factors (for adopting green products) differ in critical ways. Drawing on a consumer-marketing interface, this study uses a binary logit model to investigate how consumers adopt two different types of products (e.g., glass and electronic). The results show that the impacts of the twelve factors behind consumer adoption of green products vary widely between glass and electronic products. Specifically, the analysis identifies four factors (eco-labeling, peer groups, cultural values, and environmental awareness) that have no influence on consumer adoption intentions. It also shows that males are more likely to have positive adoption intentions than females for both glass and electronic products. The authors conclude this paper by discussing the implications of these important findings for research and practice.

Original languageEnglish
Article number5084
JournalSustainability (Switzerland)
Volume13
Issue number9
DOIs
StatePublished - 1 May 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Adoption factors
  • Green product
  • Logistic regression model
  • Product comparison

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