Scaling sustainability advice : options for generating large-scale green consumption recommendations
Cathérine Lehmann
Data availability on the sustainability of products is low which poses challenges for actors from all sectors dealing with promoting sustainable consumption. We describe how we currently provide users of a Chrome browser extension with general sustainability advice and with recommendations of best-in-class products in terms of sustainability. Then we outline a possible concept towards more automatisation and thus scalability of the current approach. For the latter, we discuss six different schemes for generating large-scale green recommendations on a product level, finding that currently product sustainability can be best evaluated in terms of data availability when resorting to lists of labelled products. In the future, Product Environmental Footprints and similar data should be more easily available in order to have quantifiable data for research and for showing more information to users. Overall, an integrated approach, including e.g. aspects of organizational sustainability, might help to fill data voids and/or to provide a more complete picture of a product’s sustainability level.
Year of publication: |
[2021]
|
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Authors: | Lehmann, Cathérine |
Publisher: |
Berlin : Technische Universität Berlin |
Subject: | sustainability information | sustainable consumption | online consumption | automation of product evaluation | sustainable product recommendations | Nachhaltigkeitsinformationen | nachhaltiger Konsum Online-Konsum | Automatisierung von Produktbewertung | nachhaltige Produktempfehlungen | Nachhaltige Entwicklung | Sustainable development | Konsumentenverhalten | Consumer behaviour | Öko-Produkt | Sustainable product | Nachhaltigkeit | Sustainability | Nachhaltiger Konsum | Sustainable consumption | Umweltbewusstsein | Environmental consciousness | Personalisierung | Personalization | Automatisierung | Automation | Produktempfehlung | Umweltverträgliches Produkt | Umweltverträglichkeit |
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