Events


 

Past events

  • 13 September, 2019 - 09:00 to 14 September, 2019 - 16:00
    Are you interested in sustainable development and want to learn more about the UN Global Goals? Then join CBS and more than 40 other organizations in celebrating the Sustainable Development Goals on September 13-14.
  • 11 September, 2019 - 13:30 to 18:00
    Book a seat on 11th September 2019 at the annual Supply Chain Leaders Forum at Copenhagen Business School
  • 5 September, 2019 - 14:00 to 16:00
    In order to obtain the PhD degree, Theodor Lucian Vladasel has submitted his thesis entitled: Embracing Heterogeneity: Essays in Entrepreneurship and Human Capital
  • 23 August, 2019 - 14:30 to 16:30
    In order to obtain the PhD degree, Lydia Jørgensen has submitted her thesis entitled: Moving Organizational Atmospheres
  • 21 August, 2019 - 14:00 to 16:00
    In order to obtain the PhD degree, Kristian Steensen Nielsen has submitted his thesis entitled: The role of self-regulation in environmental behavior change
  • 14 August, 2019 - 13:00 to 14:00
    'GLOBALIZATION OF CHINESE ENTERPRISES. A REVIEW OF THE LITERATURE AND FUTURE RESEARCH AGENDA'
  • 12 August, 2019 - 18:00 to 22:00
    Reconnect with CBS and make new contacts with fellow alumni, when all alumni and current students from Copenhagen Business School (CBS) are invited to CBS Alumni meetup on Monday 12 August 2019 in connection with the Annual Meeting of the Academy of Management in Boston, USA.
  • 7 August, 2019 - 13:00 to 15:00
    In order to obtain the PhD degree, Henriette Schleimann has submitted her thesis entitled: Creating innovation through collaboration - Partnering in the maritime sector
  • 27 June, 2019 - 10:00 to 15:00
    After successful seminars about IoT and AI we're now focusing attention on yet another interesting technology: Cyber Security.
  • 24 June, 2019 - 14:00 to 16:00
    In order to obtain the PhD degree, Benjamin Flesch has submitted his thesis entitled: Social Set Visualizer (SoSeVi) - Design, Development and Evaluation of a Visual Analytics Tool for Computationel Set Analysis of Big Social Data

Pages