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Kybernetisches Innovationsmanagement für wissensintensive Organisationen

In: Automation, Communication and Cybernetics in Science and Engineering 2013/2014

Author

Listed:
  • Alan Hansen

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Florian Welter

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Anja Richert

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Frank Hees

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Sabina Jeschke

    (RWTH Aachen University, IMA/ZLW & IfU)

Abstract

Zusammenfassung Das Management von Innovationsprozessen erfolgt in wissensintensiven Organisationen häufig anhand linearer Modelle wie Stage-Gate-Ansätzen, die hohe Anforderungen an Planbarkeit stellen. Eine sinnvolle Erweiterung derartiger Ansätze bieten kybernetische Prinzipien, die ein iteratives Management von Innovationsprozessen unter Betrachtung großer Systemrahmen unterstützen. Entscheidungsträger sind in dieser Hinsicht verstärkt gefordert, ihre lineare Perspektive auf Innovationsprozesse durch die Analyse und Gestaltung innovationsförderlicher Rahmenbedingungen zu erweitern und damit die Ausschöpfung aller vorhandenen menschlichen, organisationalen und technischen Innovationspotenziale zu unterstützen. Ein praxiserprobtes Tool zur Diagnose und Gestaltung innovationsförderlicher Rahmenbedingungen bietet der Strategieplaner innoBOOST.

Suggested Citation

  • Alan Hansen & Florian Welter & Anja Richert & Frank Hees & Sabina Jeschke, 2014. "Kybernetisches Innovationsmanagement für wissensintensive Organisationen," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2013/2014, edition 127, pages 51-59, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08816-7_5
    DOI: 10.1007/978-3-319-08816-7_5
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