• Detecting ideas in online communities : utilizing machine learning and text mining for finding ideas in online communities 

      Christensen, Kasper Knoblauch (PhD Thesis;2017:18, Doctoral thesis, 2017)
      Online communities serve as a gathering point for dedicated product users and consumers who discuss all imaginable topics. Scholars have argued that this discussion can lead to new ideas useful for firms. That is, if the ...
    • 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)
    • Mining online community data: The nature of ideas in online communities 

      Christensen, Kasper Knoblauch; Liland, Kristian Hovde; Kvaal, Knut; Risvik, Einar; Biancolillo, Alessandra; Scholderer, Joachim; Nørskov, Sladjana; Næs, Tormod (Journal article; Peer reviewed, 2017)
      Ideas are essential for innovation and for the continuous renewal of a firm’s product offerings. Previous research has argued that online communities contain such ideas. Therefore, online communities such as forums, Facebook ...