Abstract

One fundamental challenge of technology and innovation management is for firms to decide which future technologies to develop in-house versus buying them outside. This challenge is particularly pertinent when industries emerge, typically a time of high levels of technological uncertainty. It has been long understood that technological uncertainty functions as important stimulus for firms to manage their boundaries. However, two to some extent competing strategy perspectives—governance and competence—predict that firms faced with uncertainty would either increase or decrease their scope of activities, respectively. To reconcile these conflicting positions, we propose a model in which knowledge modularity moderates the effect of technological uncertainty on firms’ research and development (R&D) scope decisions. We develop new measures for R&D scope, knowledge modularity, and technological uncertainty, drawing on population ecology, network theory, and technology management. We test our model empirically using data on patenting activity and firm boundary location in the emerging automotive air bag industry. Our results generally support our model and show that in case of knowledge-generating activities such as R&D, scope decisions under technological uncertainty are more driven by concerns about the risk of obsolescence than the risk of opportunistic behavior. We discuss implications for managerial practice and future research.

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