Organizational Trajectory and Embedded Knowledge: Case Study of the French Industrial Cluster

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Author	Dorota Leszczynska
ISSN	2225-7217
On Pages	202-208
Volume No.	2
Issue No.	2
Issue Date	May 01, 2020
Publishing Date	May 01, 2020
Keywords	Cluster, embedded knowledge, historical sequences, long-lasting performance, organizational trajectory

Abstract

Research works have not yet shed much light on the performance of organizational trajectory, which is considered a crucial competitive asset for businesses. The aim of this publication is to highlight the link between knowledge embeddedness, the historical evolution of a cluster, and the performance of its consequential trajectory. Embedded knowledge may very well influence the performance of the trajectory. We put forward a conceptual model and a case-study carried out with an industrial cluster. Our research has led us to highlight some types of managerial behavior supporting the embedded knowledge which will ensure a long-lasting performance of the cluster.

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