Latent class models for classification
Computational Statistics & Data Analysis
Radical innovation in established organizations: Being a knowledge predator
Journal of Engineering and Technology Management
Designing Work Within and Between Organizations
Organization Science
Knowledge management challenges in new business development: Case study observations
Journal of Engineering and Technology Management
Relative capacity: Retaining knowledge outside a firm's boundaries
Journal of Engineering and Technology Management
Acquisition as a means for external technology sourcing: Complementary, substitutive or both?
Journal of Engineering and Technology Management
Journal of Engineering and Technology Management
Design for taxonomy and technology architecture for knowledge management solution implementation
International Journal of Business Information Systems
Journal of Engineering and Technology Management
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We focus in this study on sets of inter-organizational relationships (IORs) by applying a configurational approach that includes both the diversity and the intensity of knowledge transfer IORs. We use a latent class cluster analysis to empirically explore the kinds of IORs configurations. We then use antecedents derived from the IOR literature to explain firm membership in those configurations. Our tests allow us to identify four configurations ranging from isolated innovators to innovating firms embedded in diverse and deep sets of IORs. We show that internal knowledge use by firms, and the types of innovative activities in which they engage, are strong predictors of firm membership in different configurations.