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Dokumenttyp:
Konferenzbeitrag
Autor(en):
Schmidt, Danilo Marcello; Haas, Marc; Kammerl, Daniel; Wilberg, Julian; Kissel, Maximilian Philipp; Lindemann, Udo
Titel:
Analyzing industrial clusters using measures of structural complexity management
Seitenangaben Beitrag:
41-51
Kapitel Beitrag:
Analyzing and Managing Organizations, Teams and Individuals
Abstract:
Companies organize in industrial clusters to exchange knowledge, to identify new options for cooperation and to improve the regional competences for a special industry sector. For optimizing industrial clusters, it is necessary to assess factors influencing performance or effectivity of industrial clusters. This evaluation or analysis of cluster’s performance can reveal strengths and weaknesses of the cluster. Interpreting the weaknesses might detect activities for improving the performance of t...     »
Stichworte:
DSM, MDM, Structural Complexity, Industrial Cluster, Cluster Structure
Herausgeber:
Browning, Tyson R.; Eppinger, Steven D.; Schmidt, Danilo Marcello; Lindemann, Udo
Kongress- / Buchtitel:
DSM Conference
Ausrichter der Konferenz:
Neeley Business School (TCU); Lehrstuhl für Produktentwicklung (TUM)
Datum der Konferenz:
04.-06.11.2015
Verlag / Institution:
Carl Hanser Verlag
Verlagsort:
München
Jahr:
2015
Quartal:
4. Quartal
Nachgewiesen in:
Scopus; Web of Science
Print-ISBN:
978-3-446-44573-4
E-ISBN:
978-3-446-44726-4
Semester:
WS 15-16
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