Continuous Innovation Management in R&D Firms Under Uncertainty: The Role of Transformative Learning and Rapid Decision Making

Research and development (R&D) intensive firms, especially SMEs, share deep specialization in technology, and integration in international value chains, featured with relatively high dependence on the global niche positions in the market. These features lead to constant adjustment to the changing global conditions and focus on continued innovation management to sustain competitive positions. The paper aims to explain the role of transformative learning in order to increase the speed of decision making at the organizational level that imposes pivotal changes in R&D intensive firms, and their unique patterns of long-term success, while using a longitudinal multiple case study. As a result, we provide an in-depth study of transformative learning and rapid decision making while using networks under uncertainty to support continuous innovation management.