Patterns of interactive learning in a high - tech region . An empirical exploration of an extended resource - based model

Marius T.H. Meeus, Leon A.G. Oerlemans ECIS, Faculty of Technology Management, Eindhoven University of Technology, The Netherlands Jerald Hage University of Maryland, Washington, USA Organization Studies 2001, 22/1 145-172 2001 EGOS 0170-8406/01 0022-0006 $3.00 This paper aims at developing a theoretical framework that explains levels of interactive learning. Interactive learning is defined as the exchange and sharing of knowledge resources conducive to innovation between an innovator firm, its suppliers, and/or its customers. Our research question is: Why do levels of interactive learning of innovator firms, their customers, and/or suppliers vary? Our theoretical framework combines a resource-based perspective with an activity-based account of interactive learning. It starts with a resource-based argument, which is specified by introducing competing and complementary theoretical arguments such as the complexity and structuring of innovative activities, and sectoral technological dynamics. The strength of internal knowledge resources can either hamper or facilitate levels of interactive learning. We assume that more complex innovative activities urge firms to co-ordinate and exchange information between users and producers, which implies a higher level of interactive learning. The structuring of innovative activities, as well as sectoral technological dynamics can foster interactive learning. To test our theoretical claims, we estimated six models predicting the level of interactive learning of innovator firms with: (1) their customers (here the innovating firms are the producers); (2) their suppliers (here the innovating firms are the customers); (3) with customers and suppliers split by size (four separate models). These analyses allow a comparison of the antecedents of interactive learning of innovator firms performing dual roles, and having a different size. Both monotonic and non-monotonic effects of the complexity of innovative activities, the strength of the internal knowledge base, and monotonic effects of the structuring of innovative activities are tested. Our findings suggest that our theoretical model best fits the interactive learning of smalland medium-sized innovator firms. Interactive learning with customers is positively associated with the complexity and structuring of innovative activities, and with moderate scores of the cross-product term of 'complexity of innovative activities and the strength of knowledge resources'. Interactive learning with customers is positively affected by higher technological dynamics. Stronger internal knowledge resources yield positive effects on interactive learning with suppliers up to a threshold point. Once this threshold is crossed, the effects of stronger knowledge resources become negative. Interactive learning with suppliers as well as with customers is positively associated with internal and external structuring of innovative activities, but is not affected by sectoral technological dynamics. Descriptors: interactive learning, resource dependence, absorptive capacity, complexity of innovative activities, structuring of innovative activities, monotonic and non-monotonic relations © 2001 SAGE Publications. All rights reserved. Not for commercial use or unauthorized distribution. at Universiteit van Tilburg on December 2, 2007 http://oss.sagepub.com Downloaded from Marius T. H. Meeus, Leon A. G. Oerlemans, Jerald Hage