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A Water Footprint Management Construct in Agri-Food Supply Chains: A Content Validity Analysis

Author

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  • Marcelo Werneck Barbosa

    (Facultad de Administración y Negocios, Universidad Autónoma de Chile, Pedro de Valdivia 425, Providencia 7500912, Santiago, Chile)

  • José M. Cansino

    (Facultad de Administración y Negocios, Universidad Autónoma de Chile, Pedro de Valdivia 425, Providencia 7500912, Santiago, Chile
    Department of Economic Analysis and Political Economy, Facultad de Ciencias Económicas y Empresariales, Universidad de Sevilla, Avda. Ramón y Cajal 1, 41018 Sevilla, Spain)

Abstract

Common problems when carrying out water footprint (WF) assessments are obtaining specific primary data, dealing with the complexity of its computation, and the availability of quality data. In a supply chain context, inconsistencies are even more exacerbated. In order to fill in this research gap, this study proposes and evaluates the content validity of a survey scale to assess WF management initiatives implemented by companies, with a focus on supply chains and the agriculture industry. In order to do so, a literature review was performed to identify candidate survey items whose content was later validated with experts in terms of their relevance, clarity, and essentiality to measure WF management. Content validity was assessed using several indices (items’ content validity index (I-CVI), Kappa’s coefficient, Aiken’ V coefficient, and content validity ratio (CVR)), which indicated high content validity for the selected items. This study provides a set of measurement survey items that can be used to evaluate WF management initiatives implemented in agri-food supply chains in future empirical studies.

Suggested Citation

  • Marcelo Werneck Barbosa & José M. Cansino, 2022. "A Water Footprint Management Construct in Agri-Food Supply Chains: A Content Validity Analysis," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:4928-:d:797605
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    References listed on IDEAS

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