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    A weighted fuzzy approach for green marketing risk assessment: Empirical evidence from dairy industry


    Azadnia, Amir Hossein and Geransayeh, Mohsen and Onofrei, George and Ghadimi, Pezhman (2021) A weighted fuzzy approach for green marketing risk assessment: Empirical evidence from dairy industry. Journal of Cleaner Production, 327. p. 129434. ISSN 0959-6526

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    Abstract

    The green marketing concept encompasses the consumers' perception and response to the green initiatives and activities that companies implement such as design for environment, green production systems and processes development, and green improvements in packaging. Despite the growing interest in the green marketing domain, few studies have been carried out on the risk assessment of green marketing implementation, especially in the dairy industry. In this study, using a developed integrated fuzzy decision-making methodology, the green marketing risk factors in the dairy industry are assessed. Firstly, the fuzzy analytic hierarchy process is used for weighting the identified risk assessment criteria. Then, a weighted fuzzy inference system is proposed for green marketing risk assessment. Finally, risk mitigation strategies are proposed to deal with the highly ranked risk factors. This research study fills the gaps in the literature by (1) proposing a comprehensive list of green marketing risk factors in the dairy industry, (2) developing a novel weighted fuzzy inference system approach for assessing those risk factors, and (3) providing a final ranking of the dairy industry risk factors together with risk mitigation strategies for the highly ranked risk factors. The level of environmental awareness in society was found as the most important risk factor followed by governmental policies, rules, and regulations for supporting green products risk factors. Finally, some remarks are concluded together with presenting the future works.

    Item Type: Article
    Keywords: Green marketing; Risk assessment; Fuzzy inference system; Fuzzy analytic hierarchy process;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 17149
    Identification Number: https://doi.org/10.1016/j.jclepro.2021.129434
    Depositing User: Amir Azadnia
    Date Deposited: 08 May 2023 09:24
    Journal or Publication Title: Journal of Cleaner Production
    Publisher: Elsevier
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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