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      Encouraging Organic Food Consumption through Visualization of Personal Shopping Data

      , , ,
      Sustainability
      MDPI AG

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          Abstract

          Although food retailers have embraced organic certified food products as a way to reduce their environmental loading, organic sales only make up a small proportion of total sales worldwide. Most consumers have positive attitudes towards organic food, but attitudes are not reflected in behaviour. This article addresses consumers’ attitude–behaviour gap regarding their purchase of organic food and reports on how visualization of personal shopping data may encourage them to buy more organic food. Through the design of the visualization tool, the EcoPanel, and through an empirical study of its use, we provide evidence on the potential of the tool to promote sustainable food shopping practices. Of 65 users that tested the EcoPanel for five months, in-depth interviews were made with nine of these. The test users increased their purchase of organic food by 23%. The informants used the EcoPanel to reflect on their shopping behaviour and to increase their organic shopping. We conclude that the visualization of food purchases stimulates critical reflection and the formation of new food shopping practices. This implies that food retailers may increase sales of organic food through using a visualization tool available for their customers. In this way, these retailers may decrease their environmental impact.

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            How to nudge in situ: Designing Lambent Devices to Deliver Salient Information in Supermarkets

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              LNCS 8118—BinCam: Designing for Engagement with Facebook for Behavior Change

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                May 2020
                April 29 2020
                : 12
                : 9
                : 3599
                Article
                10.3390/su12093599
                f71145fa-a78a-4135-893e-843dee4013a5
                © 2020

                https://creativecommons.org/licenses/by/4.0/

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