作者: Matthijs Brink , Geerten M. Hengeveld , Hilde Tobi
DOI: 10.1016/J.ECOLIND.2020.106145
关键词: Weighting 、 Systematic review 、 Data science 、 Fuzzy concept 、 Sustainability 、 Sustainability measurement 、 Sustainability science 、 Social sustainability 、 Triple bottom line 、 Computer science
摘要: Abstract Measurement in interdisciplinary research can be difficult due to incompatibility of measures used the different disciplines. These difficulties arise when measurements from disciplines need combined quantify an attribute for object study. Sustainability is a fuzzy concept measured as many objects. are often composition environmental, economic and social sustainability measurements, which makes them composite measurements. The present study aims advance by systematic review measurement using Triple Bottom Line (TBL) framework investigate whether issues differ between dimension. A literature was done based on query, Web Science, that reflected interdisciplinarity science TBL framework. Abstracts were scanned relevance papers passed scan downloaded scrutinized their characteristics such level, aggregation scores into weighting methods. An iterative coding approach (top-down bottom-up) until saturation reached. search returned 467 papers, 77 contained sufficiently detailed information sustainability, following Not all final set performed if how distinct dimensions one measurement. 86 reported models heterogeneous with respect levels used, use scores, schemes time synchronization indicators. Two thirds presented sustainability. weights most cases determined experts’ opinions. Albeit included framework, do not form coherent set. Fuzzy practices occurred three On closer inspection, wherever reports specific, turned out near-unique.