While postdoctoral fellowships are viewed as positions that prepare PhD students for academic careers, studies show that most postdocs will not find tenure-track employment within universities. Postdocs consequently pursue non-academic jobs that differ in the degree to which they utilize a postdoc’s scientific training, yet we know little about how this occurs. To help address this gap, this study inductively investigates factors that may influence a postdoc’s transition to a non-academic career. The study uncovers multiple individual, PI, as well as organizational and policy factors, including the lack of relevant skills, absence of support—and in some cases opposition—from their principal investigators, and poor availability of non-academic career preparation opportunities, among others. Viewed collectively, these elements likely hinder a move to non-academic scientific positions and thus have consequences for postdoc career trajectories and, by extension, the utilization of new knowledge. The paper opens the door for future research, theorization, and policy action that might smooth the transition of postdocs into non-academic careers and potentially improve the impact of publicly-funded research.

For firms at the center of platform-based ecosystems, Teece (2018) argues that dynamic capabilities can enable the firms to create and capture value by building ecosystems and designing appropriate business models. In line with the original Profiting From Innovation (PFI) framework, Teece (2018) also argues that complementary asset providers may be able to capture substantial value. Here we provide a theoretical analysis that explains the ways in which dynamic capabilities underpin not only value creation but also value capture by platform leaders. We propose that three types of dynamic capabilities at a minimum are critical for platform leaders: innovation capabilities, environmental scanning and sensing capabilities, and integrative capabilities for ecosystem orchestration. We further argue that integrative capabilities play a key role in improving the ability of platform leaders to capture value.

Policy mixes may play a crucial role in redirecting and accelerating innovation towards low-carbon solutions, thus addressing a key societal challenge. Towards this end, some argue that the characteristics of such policy mixes matter greatly, yet with little empirical evidence backing up such claims. In this paper we explore this link between policy mix characteristics and low-carbon innovation, using the research case of the transition of the German electricity system towards renewable energy. Our empirical insights are based on an innovation survey administered to German manufacturers of renewable power generation technologies which builds on the Community Innovation Survey. For our purposes we adjusted the survey to better capture companies’ perceptions of policy mixes. Employing a bivariate Tobit model we find evidence that companies’ perceptions regarding the consistency and credibility of the policy mix are positively associated with their innovation expenditures for renewable energies, and this positive link intensifies when considering the mutual interdependence of these policy mix characteristics. In contrast, neither the comprehensiveness of the instrument mix nor the coherence of policy processes were found to be related to innovation expenditures. Overall, these findings suggest that future research on low-carbon and eco-innovation should pay greater attention to the characteristics of policy mixes, rather than focusing on policy instruments only. Finally, our findings indicate a need to consider how policy may be measured in innovation surveys to generate better informed policy advice regarding the greening of innovation.

Complex societal or environmental problems require fast and substantial socio-technical transitions. For instance, in the case of climate change, these transitions need to take place in the energy, transport and several industry sectors. To induce and accelerate such transitions, numerous policy interventions are required, which interact with each other in policy mixes. While several conceptual studies on policy mixes have been published recently, there is very little empirical research apart from single case or small-n studies. It has been prominently argued that the debate about policy mixes has reached an impasse partly due to this lack of empirical work. This paper addresses this gap by providing a first analysis of the temporal dynamics of complex policy mixes. To do so, we develop a conceptualization and measurement of policy mix balance across instrument types as well as policy mix design features (in the form of intensity as a general and technology specificity as a technology-focused design feature). This allows us to answer the question how temporal dynamics of policy mixes differ between countries regarding their balance and design features. Our measurement approach is developed bottom-up, i.e., policies are assessed individually and then aggregated systematically at the policy mix level. This enables overcoming the ‘dependent variable problem in the study of policy change’, i.e., the problem of measuring policy output. More specifically, we develop a comparative dataset of 522 renewable energy policies in nine OECD countries. Our analysis shows that countries’ policy mix dynamics vary strongly regarding some variables (e.g., technology specificity) but less regarding others (e.g., balance). As a validity check, we also test the effects of these mix dynamics on policy outcome in the form of renewable energy technology diffusion. We reflect our findings in light of the theoretical debates around policy mixes and policy design and discuss how our results provoke an agenda for the new generation of research on policy mixes. We specifically discuss avenues for future research with a particular focus on the ‘politics of policy mixes’.

How do intellectual propriety rights (IPRs) help firms profit from their innovation? Innovation literature frequently turns to patents to measure innovative IPR, but more recent work shifts focus to the other side of IPR, namely, trademarks. This article therefore discusses the effects of trademark strategies when companies decide to introduce their product portfolios in a new foreign market. Entrants might opt for a common trademark across different country markets (integration) or use several country-specific trademarks (responsiveness). This empirical study exploits the quasi-natural experiment created by the tariff shock that affected Spain when it joined the European Union in the 1990s. Data from the automotive industry reveal how non-European companies that already operated in other European countries sought to enter Spain rapidly, using various trademark strategies. The product portfolio characteristics are fixed at entry, so this study can specify how and when trademark responsiveness versus integration affects firm performance. The results reveal that trademark responsiveness increases firm performance if the firms suffer high liabilities of foreignness or newness.

We examine how the ways in which firms geographically configure their global portfolios of R&D units influence the effectiveness of firms’ own R&D investments and of external technical knowledge in enhancing firm performance. Our analysis indicates that the strength of these effects depends on the extent to which firms spread their R&D units across countries (geographic dispersion of R&D) and the extent to which firms establish multiple R&D units within each country (co-location of R&D). We show that geographic dispersion and co-location are associated with distinct value creation and value capture mechanisms and in turn lead to different performance outcomes. Although geographic dispersion enhances the effects of a firm’s own R&D on its performance, R&D co-location limits such effects. These relationships are reversed when we consider the effects of external technical knowledge on firm performance. R&D co-location, rather than geographic dispersion, is what renders the exploitation of external knowledge more effective in enhancing firm performance. Our results suggest that future research should shift its focus from the degree of R&D globalization to how a portfolio is globalized and geographically structured.