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Abstract: A new technological paradigm which rewards cooperation in the innovation of complex technologies seems to have emerged in recent years. Global reach and greater innovation speed are said to be key benefits of network-based complex innovation. By bringing together multiple sources of knowledge and experience, networks of innovative firms and other organizations increasingly appear to be able to absorb the combination of spatial and temporal uncertainty. But what is the empirical evidence underpinning this new paradigm? Beyond case studies and the experience of individual researchers, what do we know about cooperation and the pace and place of complex innovations? Examination of available empirical research fails to confirm the theory that cooperation enhances either the globalization of innovation or its speed. [Copyright &y& Elsevier]

Abstract: The speed with which modern technologies are innovated seems to be accelerating and there appears to be some consensus that faster technological change is likely to create substantial problems for public policy makers. But what is the empirical evidence for the impression of more rapid technological advancement? And what does this evidence imply for the future of policy making? Answering these questions involves assessing the empirical research based in four temporal models that form the bases for measuring innovation time (product cycle, barrier–breakthrough, technological discontinuity, and continuous change) according to four analytical approaches (product concentrations, expert opinion, sales growth and decline, and age of cited patents). Based on this assessment, multiple categories of policy-relevant temporal indicators are recommended. [Copyright &y& Elsevier]

Offers guidance for managers of the innovation of complex technologies on how to develop adaptive network strategies. Details of a case study, which addressed the innovation of the diesel fuel injection technologies of Bosch; Comparison between simple and complex technologies; Requirements from the innovation of complex technologies; Changes implemented at Bosch during the late 1970s.

This article investigates three factors that affect the path dependence of complex technologies and the organizational networks that carry out their innovation: culture and institutions, organizational learning, and technology design. Evidence from the rapidly growing body of literature on path dependence and from six case studies of complex technologies (i.e. turbine blades, cardio-imaging technology, audio compact discs (CD's), radiation therapy technology, micro-floppy disks, and microprocessors) is used to investigate the impact of culture, organizational learning, and technology design on path dependence. Three innovation patterns associated with co-evolution of technologies and organizational networks provide the framework used to structure the investigation. [ABSTRACT FROM AUTHOR]

Focuses on the significance of the participation of firms in the innovation of complex technologies. Definition of complex technologies; Characteristics of complex networks; Insights from the study of complex technological innovation; Three patterns associated with complex technological innovation.