• The Application of Big Data in Fashion Retailing: A Narrative Review 

      Madsen, Dag Øivind; Silva, Emmanuel Sirimal; Hassani, Hossein (Peer reviewed; Journal article, 2020)
      Big data continues to disrupt the fashion retail industry and has revolutionised traditional business models. Today, both leading fashion brands and new start-ups are using big data analytics to improve business operations ...
    • Big Data in fashion: transforming the retail sector 

      Silva, Emmanuel Sirimal; Hassani, Hossein; Madsen, Dag Øivind (Journal article, 2019)
      Purpose Big Data is disrupting the fashion retail industry and revolutionising the traditional fashion business models. Nowadays, leading fashion brands and new start-ups are actively engaging with Big Data analytics to ...
    • Googling Fashion: Forecasting Fashion Consumer Behaviour using Google Trends 

      Silva, Emmanuel Sirimal; Hassani, Hossein; Madsen, Dag Øivind; Gee, Liz (Journal article; Peer reviewed, 2019)
      This paper aims to discuss the current state of Google Trends as a useful tool for fashion consumer analytics, show the importance of being able to forecast fashion consumer trends and then presents a univariate forecast ...
    • The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase 

      Farhat, Faiza; Silva, Emmanuel Sirimal; Hassani, Hossein; Madsen, Dag Øivind; Sohail, Shahab Saquib; Himeur, Yassine; Alam, M. Afshar; Zafar, Aasim (Peer reviewed; Journal article, 2023)
      This paper presents a comprehensive analysis of the scholarly footprint of ChatGPT, an AI language model, using bibliometric and scientometric methods. The study zooms in on the early outbreak phase from when ChatGPT was ...