@article{Hausladen2023,
  author    = {Hausladen, Iris},
  title     = {Einsatzpotenziale von Big Data f{\"u}r Logistiknetzwerke},
  journal   = {WiSt - Wirtschaftswissenschaftliches Studium},
  volume    = {52},
  number    = {4},
  issn      = {0340-1650},
  doi       = {10.15358/0340-1650-2023-4},
  institution = {Chair of IT-based Logistics},
  pages     = {18 -- 23},
  year      = {2023},
  abstract  = {Big Data has become a key factor when it comes to using suitable analytics methods to extract a valuable treasure from large volumes of data. Especially in logistics networks, where many internal as well as external actors along the value chain are linked in terms of business processes, an immense amount of data is generated,processed and anyzed. This article shows the application potentials of Big Data in corresponding networks.},
  language  = {de}
}