Definition of sustainability impact categories based on stakeholder perspectives

• Published in: Journal of cleaner production Vol. 105; pp. 41 - 51
• Main Authors: Souza, R.G., Rosenhead, J., Salhofer, S.P., Valle, R.A.B., Lins, M.P.E.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.10.2015
• Subjects: Assessments; Categories; Cognitive maps; Consultation; Decisions; Impact categories; Life cycle sustainability assessment; Methodology; Problem structuring methods; Stakeholder perspectives; Sustainability; Cognitive maps; Life cycle sustainability assessment; Stakeholder perspectives; Problem structuring methods; Impact categories
• ISSN: 0959-6526; 1879-1786
• DOI: 10.1016/j.jclepro.2014.09.051

Sustainability assessment is an important approach for decision-support in waste management systems. Life Cycle Sustainability Assessment (LCSA) is the most promising tool for this purpose, but it still lacks a formal methodological framework. One requirement for establishing an effective LCSA methodology is the necessary involvement of stakeholders in decisions on LCSA models, which still constitutes a gap in current assessments. In this paper we develop and apply a methodology for stakeholder consultation regarding the selection of LCSA impact categories (focussing, in this case, only on social and economic issues). The methodology is based on decision science concepts and tools with an emphasis on the elicitation of stakeholders' perspectives depicted in cognitive causal maps. Results from a case study illustrate a useful contribution from the methodology, revealing both well-established and innovative impact categories with very positive feedback from stakeholders. A methodological issue is the sensitiveness in defining endpoint and midpoint levels of impact categories. The method revealed straightforward and effective, with no necessity for quantitative ratings and minor influence of the analysts' perspectives. •We develop a method to define LCSA impact categories by stakeholders' consultation.•We apply the methodology to the case of Brazilian WEEE reverse logistics.•Cognitive causal maps reveal potential impact categories in a cause-effect chain.•Final results reveal both well-established and innovative impact categories.•Stakeholders gave positive feedback and felt ownership of the results.