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Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

Over the past 50 years, a substantial interest has been put to research on how innovation spreads within social networks over time (see Rogers, 1962, 2010). Our initial aim was to examine innovation diffusion in industrial networks. We operationalized the research through a case study of an advertising network by using systematic combining as the approach (Dubois & Gadde, 2002, 2014). From the initial focus of innovation diffusion, the rematching of data and theory led us to focus on the barriers of innovation diffusion. By doing so, we found out that multilevel strategizing appears to be an important phenomenon in understanding dynamics of innovation diffusion within industrial networks. Specifically, strategizing occurs in two levels: (1) the groups within the network compete for position, and (2) actors within a group compete for position by trying to differentiate themselves from other group actors. A strategic mismatch between the two levels leads the network to become decelerated or even static in diffusing new innovations (Abrahamsen, Henneberg, & Naudè, 2012). Uncovering these findings would not have been possible without the use of systematic combining and the constant matching between theoretical and empirical domains.

Policies aimed at intensifying innovation, and how they relate to industrial activities, is the major theme of this chapter. We build on Industrial Marketing and Purchasing (IMP) studies of innovation, as well as relational approaches to policy studies, to examine the means and goals of innovation policy. From the IMP literature, we take the notion that interaction in business relationships implies continuous learning and adaptations. From this perspective, investments in innovation are marginal in relation to existing patterns of investment, including those in business relationships. From policy studies, we take the view that policymaking and implementation should be treated as sets of interactions, whose outcomes are the effects of multiple and heterogeneous relationships. Based on these principles, we pursue three arguments: (1) Innovations are not primarily effects of innovation policies; (2) Policy-initiated innovation systems, clusters and networks do not necessarily intensify innovation; and (3) Innovation policies and their instruments produce tangible effects, although often in unexpected or unintended ways. We conclude the chapter with suggestions for research and for innovation policymaking.

Industrial strategy has been officially out of favour at the national level since the 1980s, although some form of tacit industrial policy has existed for many years under different governments, often partial and usually not codified in official format. The new national Industrial Strategy of 2017 sets out a much clearer intent for how the 2016 Conservative government wants to rebuild the UK industrial base through both national level activity and through local and regional strategies.

At a regional level this is not so new, since the North East has had a variety of regional development strategies and innovation strategies dating back to the 1990s, associated with the implementation of the EU Structural Funds, with the former Regional Development Agency and now with the North East Local Enterprise Partnerships. These typically involved many aspects of the new local Industrial Strategies, so what’s new and what should the region be doing?

This paper examines three issues. First, do multiple possible paths to high versus low new product performance (NPP) occur among European, high-tech, industrial manufacturing firms? Second, what are the upstream influences on high NPP? For example, what background factors affect the levels of the KSFs? Third, do consistent country-level differences occur among Austrian, German, and Swedish executives in their evaluations of antecedents and high-tech NPP? To probe these issues, a total of 771 chief operating officers and project managers participated in face-to-face long interviews (McCracken, 1988) covering 241 less and 264 more successful than average industrial NPD projects. The empirical findings support the propositions that: (1) multiple paths lead to high versus low NPP; (2) unique antecedent variables affect the KSFs for high NPP; and (3) for several upstream and direct influences, consistent national differences occur among executives’ assessments of NPP. A key implication of the study for NPD executives is to recognize the possibility of alternative paths leading to successful NPD.

The chapter presents a theoretical framework that deals with the basic question of how networks and industries coevolve. We draw upon the structural and relational perspectives of networks to theorize about changes occurring in interfirm networks over time and the coevolutionary linkage of these changes to the industry life cycle. We further extend the widely accepted industry life cycle model by claiming that industry-specific evolutionary patterns impact the structure of the network’s relations, which in turn lead to diversification in the sources of innovation and to variation in the patterns of industrial evolution.

In this chapter, the authors discuss how the features of the business landscape affect policies aiming to promote regional development. Regional development policies have been central in the European Union and at the single-country level. Measures taken to promote development in a geographical area, based on the concept of clusters and (national or regional) innovation systems, often fall short of their objectives. That is discussed against the findings on features of the business landscape that emphasise its heterogeneity and the importance of specific couplings within and across geographical areas. Prior Industrial Marketing and Purchasing (IMP) research emphasised the importance of firm-specific linkages to places and across places. One consequence is the relatedness of one place with other places, which implies that crossing the (imaginary) boundaries of a place appears to be the essence of business activity. The chapter concludes by highlighting how regional policies can benefit from acknowledging and taking into account firm-specific interdependences.

This chapter develops a conceptual framework to help us position and understand the increasing importance of project-based innovation for industrial organization in the 21st century. It builds on and extends Joan Woodward's (1958 and 1965) pioneering research, which classifies industrial organizations according to the complexity of production technology and volume of output. We suggest that a radical revision of Woodward's framework is required to account for the extensive use of project-based organizations to gain competitive advantage through accelerated innovation and growth in new technologies and markets.