Arrangementer


Tidligere arrangementer

  • 8 marts, 2018 - 13:00 to 15:00
    In order to obtain the PhD degree, Poula Marie Helth has submitted her thesis entitled: Learning in practice - aesthetic aspects of leadership learning based on individual and collective experiments in leaders’ organisations
  • 18 december, 2017 - 13:00 to 14:30
    Meet editor of Journal of Purchasing & Supply Management Professor Wendy Tate for an informal and interactive talk about the publication process.
  • 30 oktober, 2017 - 14:00 to 16:00
  • 13 september, 2017 - 13:00 to 15:00
    In order to obtain the PhD degree, Vilhelm Holsting has submitted his thesis entitled: Militært chefvirke: Kritik og retfærdiggørelse mellem politik og profession
  • 6 september, 2017 - 13:30 to 18:30
    The annual Supply Chain Leaders Forum celebrates the century peak by identifying top-25 supply chain leaders in Denmark 2017 and awarding best of the best.
  • 26 juni, 2017 - 13:00 to 15:00
    In order to obtain the PhD degree, Lars Balslev has submitted her thesis entitled: Actors and practices – An institutional study on management accounting change in Air Greenland.
  • 26 juni, 2017 - 13:00 to 15:00
    In order to obtain the PhD degree, Lars Balslev has submitted her thesis entitled: Actors and practices – An institutional study on management accounting change in Air Greenland.
  • 25 april, 2017 - 08:30 to 12:30
  • 29 april, 2016 - 09:15 to 15:30
    Den rigtige pris er den hurtigste og mest effektive måde for at få et større overskud. På trods af dette prioriterer mange virksomheder ikke prissætning som disciplin i tilstrækkelig høj grad.
  • 3 september, 2015 - 13:30 to 17:45
    Big Data Analytics - 3rd September 2015 The 4th Supply Chain Leaders Forum will shed light on big data and analytic, and how management may get maximum value out of it. Key note speaker is Associated Professor in Big Data Daniel Hardt. Furthermore, Novozymes and Magasin du Nord will present practical cases that will inspire you to get started or take further steps into better insight and decision support by adopting big data analytics in Supply Chain Management.

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