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Ethical food consumption drivers in Japan. A S–O-R framework application using PLS-SEM with a MGA assessment based on clustering

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  • Morais, Ana Catarina
  • Ishida, Akira
  • Matsuda, Ruriko

Abstract

Humanity's lifestyle and consumption patterns have a tremendous impact on the environment. The present research focused on understanding the profile and the decision-making process of ethical food consumers in the Japanese market. To determine the main drivers of behaviour, a Stimulus-Organism-Response (S–O-R) model with Stimulus-Response (S–R) direct paths was tested via a Partial Least Squares Structural Equation Modelling (PLS-SEM). Next, the groups resultant of a two-step clustering technique between Pro-Environmental Behaviours (PEB) like recycling and reducing waste were used as a basis of a multi-group analysis. The first step of the clustering comprised a hierarchical algorithm, and the second a K-Medoids application. Evidence suggests ethical food consumption in Japan is bound to intention, knowledge, price, and certification recognition. The multi-group analysis implied an overall difference across the three groups defined, but the results were not conclusive at a pairwise level.

Suggested Citation

  • Morais, Ana Catarina & Ishida, Akira & Matsuda, Ruriko, 2024. "Ethical food consumption drivers in Japan. A S–O-R framework application using PLS-SEM with a MGA assessment based on clustering," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:joreco:v:76:y:2024:i:c:s0969698923003077
    DOI: 10.1016/j.jretconser.2023.103556
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    Cited by:

    1. Sun, Yuting & Zhang, Jianting & Li, Yixuan, 2024. "Realisation that online advertisements are misleading: Involvement of middle-aged and older adults with botanical dietary supplements," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    2. Ana Catarina Morais & Akira Ishida, 2024. "Ethical consumption and food recovery hierarchy behaviors: a clustering analysis in Japan," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 14(4), pages 744-762, December.
    3. Liu, Na & Li, Jing, 2024. "The time code of online consumption: Exploring the impact of work hours on online consumption in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).

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