• Composition of Collaborative Innovation Networks: An Investigation of Process Characteristics and Outcomes 

      Veflen, Nina; Scholderer, Joachim; Elvekrok, Ingunn (Peer reviewed; Journal article, 2019)
      In this study we test how different ways of composing collaborative action networks influence food innovation. Networks have received considerable attention in the literature and are perceived to enhance the likelihood of ...
    • Conflicting Issues of Sustainable Consumption and Food Safety: Risky Consumer Behaviors in Reducing Food Waste and Plastic Packaging 

      Kasza, Gyula; Veflen, Nina; Scholderer, Joachim; Münter, Lars; Fekete, László; Csenki, Eszter Zita; Dorkó, Annamária; Szakos, Dávid; Izsó, Tekla (Peer reviewed; Journal article, 2022)
      Food-related consumer decisions have an impact on the environment. However, trending patterns of sustainable consumption often pose a challenge for food-safety authorities: these initiatives may unintentionally compromise ...
    • Effects of network relations on destination development and business results 

      Elvekrok, Ingunn; Veflen, Nina; Scholderer, Joachim; Sørensen, Bjarne T. (Peer reviewed; Journal article, 2022)
    • Food Scares: Reflections and Reactions 

      Veflen, Nina; Storstad, Oddveig; Samuelsen, Bendik Meling; Langsrud, Solveig; Hagtvedt, Therese; Ueland, Øydis; Gregersen, Fredrik Alexander; Scholderer, Joachim (Journal article; Peer reviewed, 2017)
      The aim of this study is to investigate consumers’ reflections and reactions to a food scare news story. Previous studies indicate that risk communication not always is able to influence people’s behavior and that pre-existing ...
    • How good are ideas identified by an Automatic idea detection system? 

      Christensen, Kasper Knoblauch; Scholderer, Joachim; Hersleth, Stine Alm; Kvaal, Knut; Mollestad, Torulf; Veflen, Nina; Risvik, Einar (Peer reviewed; Journal article, 2018)
      Online communities are an attractive source of potential ideas for products and process’. Recent advances in machine learning have made it possible to screen the vast amounts of information in online communities and ...
    • How good are ideas identified by an automatic idea detection system? 

      Christensen, Kasper Knoblauch; Scholderer, Joachim; Hersleth, Stine Alm; Næs, Tormod; Kvaal, Knut; Mollestad, Torulf; Veflen, Nina; Risvik, Einar (Journal article; Peer reviewed, 2018)
    • Institutional food safety risk communication – A self-evaluation tool and its interpretation 

      Kasza, Gyula; Izsó, Tekla; Langsrud, Solveig; Vrbos, Domagoj; Veflen, Nina; Ueland, Øydis; Scholderer, Joachim; Münter, Lars; Csenki, Eszter; Szakos, Dávid; Ramsay, James; Süth, Miklós (Peer reviewed; Journal article, 2024)
      Background: Food safety risk communication is part of the risk analysis methodology and plays an important role in the increasingly complex food system. Besides shaping consumer risk awareness, risk perception and risk ...
    • Social norms and risk communication 

      Scholderer, Joachim; Veflen, Nina (Journal article; Peer reviewed, 2018)
      Social norms are beliefs about what people in general would consider appropriate behaviour in a particular social context. In this mini-review, we summarise research on the role of social norms in the context of safe food ...