The present paper investigates the sectoral variety and common patterns across different typologies of knowledge-intensive business services (KIBS). We examine this issue by considering the case of Lombardy, a highly developed manufacturing area the industrial activities of which are experiencing a pervasive transformation towards higher knowledge content, demanding stronger and more pervasive support by advanced services. Drawing on an original survey-based firm-level dataset, we analyze innovation patterns across KIBS, evaluating the explanatory power of traditional classifications of the service sector, as well as the heterogeneity driven by firm and market specific characteristics. Our findings highlight four profiles of KIBS: interactive innovation mode, product innovation mode, conservative innovation mode and techno-organizational innovation mode. When examining in more depth the variables that are associated with cluster membership, we find that firm strategy is the most significant determinant, with size, customer location, and training also playing a role in defining cluster specificities.
Modes of innovation in knowledge-intensive business services: evidence from Lombardy
CORROCHER, NICOLETTA;CUSMANO, LUCIA;MORRISON, ANDREA
2009
Abstract
The present paper investigates the sectoral variety and common patterns across different typologies of knowledge-intensive business services (KIBS). We examine this issue by considering the case of Lombardy, a highly developed manufacturing area the industrial activities of which are experiencing a pervasive transformation towards higher knowledge content, demanding stronger and more pervasive support by advanced services. Drawing on an original survey-based firm-level dataset, we analyze innovation patterns across KIBS, evaluating the explanatory power of traditional classifications of the service sector, as well as the heterogeneity driven by firm and market specific characteristics. Our findings highlight four profiles of KIBS: interactive innovation mode, product innovation mode, conservative innovation mode and techno-organizational innovation mode. When examining in more depth the variables that are associated with cluster membership, we find that firm strategy is the most significant determinant, with size, customer location, and training also playing a role in defining cluster specificities.
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