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Industry descriptions often depict science‐driven industries as a single industry class, dominated by explicit knowledge in the form of patents, blueprints, diagrams, etc. This one‐dimensional view limits our ability to effectively manage the activities and routines across various stages of a science life cycle. The life cycle concept refers to the extent of development of the underlying scientific knowledge base. The knowledge in developed science fields (e.g. chemicals) is well codified, whereas in developing fields (e.g. biotechnology), it is less so. This variance creates interesting implications for innovation – product development routines will differ across developed and developing sciences. The purpose of this paper is to compare and contrast the knowledge‐ and resource‐based requirements of developed and developing science industries and the link to competitive advantage.

This study aims to analyse how different types of public policies have supported the internationalisation of latecomer science-based firms, taking the case of large Brazilian pharmaceutical companies (LBPCs).

The methodology comprises a multiple case study and uses a literature review, fieldwork interviews and document analysis of eight LBPCs, five policymakers and three sector experts.

Direct and indirect policies differ in supporting LBPCs’ internationalisation motivation. The indirect policies created the necessary conditions to accumulate knowledge and capacity in the domestic market. LBPCs that adhere more to policies supporting production and technological capabilities development are internationalising as an extension of their innovative efforts. In contrast, LBPCs that have built productive capacities and have not yet reached a minimum level of technological capacity go abroad to exploit their production capabilities with the support of direct policies.

This study contributes to international business and evolutionary literature, demonstrating the channels through which public policies support latecomer science-based firms. The results show that direct and indirect policies assist firms’ internationalisation in different ways, according to actors’ perception: providing support to strengthen their domestic capabilities, which have become competitive advantages in the international market; or offering support to external expansion. It emphasises that industrial policies are relevant to support companies in creating the initial conditions (ownership advantages) to internationalise, and direct policies are important to help companies to design international strategies. This study also debates that policies supporting companies’ internationalisation depend on their adhesion to programmes and incentives and their routines and capabilities, which are specific to each company and lead to different motivations for international expansion.

This paper aims to explore the relationship between the types of R&D‐activities within science‐based firms and the knowledge transfer channels used for industry‐science collaboration. Rooted in a contingency approach, it seeks to identify patterns in the organization of knowledge transfer and to disclose ways that may support R&D‐managers in achieving effective knowledge transfer.

The paper is an exploratory study in order to obtain a deep understanding of the relationship. At first, both the types of R&D‐activity and the knowledge transfer channels were conceptualized based on an extensive literature review. Second, data were collected by means of semi‐structured interviews with 17 (assistant) R&D‐managers of ten large European chemical firms.

The analysis suggests that almost each of the knowledge transfer channels used for industry‐science collaboration has a more or less unique link to a specific type of R&D‐activity. An empirically based model is developed that visualizes the linkages. In addition, explanations for observed links are proposed.

The empirical analysis reported focuses on multinational firms in the science‐based European chemical industry, because they invest heavily in R&D and are hence more interested in collaboration with scientific partners. Further research is needed to determine the model's applicability in other empirical settings, both within and outside science‐based industries.

The paper provides R&D‐managers with a model that may support them in deciding how to organize their collaboration with scientific partners based on the type of their internal R&D‐activity to achieve effective knowledge transfer.

The paper is one of the first studies that empirically assesses the relationship between the types of R&D‐activities in firms and the knowledge transfer channels that are used for industry‐science collaboration.

This paper identifies exigent factors that enable and constrain trust building in a science-based innovation ecosystem.

Set in the Northeast England, this study adopts a processual sensemaking approach to thematically analyse interviews with a diverse range of participants in six science-based SMEs.

The findings provide a unique exposition of trust building in an innovation ecosystem across geographic and platform relationships. In doing so, the findings highlight factors outside of contractual agreements that enable or constrain trust building in an innovation ecosystem.

Limitations centred on subjectivity in the use of thematic analysis, sample bias and size. Sampling limitations were mitigated through the research design and analysis.

The findings provide unique insights into understanding the exigent factors that enable or constrain trust building in a science-based innovation ecosystem.

The study identifies five exigent factors that constrain or enable trust building in science-based SMEs' innovation ecosystem at a micro-level – building network relationships, degree of novelty, protection of innovations, propensity for adding value, propensity for risk.

The purpose of this paper is to address the strategies adopted by science-based start-ups to gain access to knowledge resources at diverse spatial levels. It investigates the presence and relative importance of ties endowed with different types of proximity in firms’ knowledge networks, and the role played by non-geographical proximity in gaining access to knowledge sources, both nearby and distant.

An analytical framework is proposed that distinguishes between two dimensions of proximity – geographical and relational – leading to different forms of proximity, which are further linked with modes of knowledge interaction (formal or informal). A methodology for network reconstruction is developed and applied to Portuguese molecular biology firms, permitting to identify the origin, location and nature of the ties and to position them along forms of proximity.

The results show that the incidence and mix of the different forms of proximity vary in firms’ individual networks, being possible to identify several patterns. They also uncover the relevance of relational proximity, whether or not coexisting with geographical proximity and often compensating for its absence.

This approach needs to be complemented with further research that refines the operationalization of relational proximity, by attempting to disentangle the influence of different types of non-geographical proximity. Further research will also explore in greater detail the factors that may explain variety in the proximity mix of firms’ networks.

The paper offers insights into the knowledge sourcing strategies adopted by science-based firms located outside the main concentrations of knowledge in their field.

The paper contributes to the literature on the role of proximity in knowledge access, by developing and empirically testing a taxonomy of forms of proximity, considering the characteristics of science-based firms. It uncovers the mechanisms through which relational proximity can contribute to span spatial boundaries, highlighting the role played by entrepreneurs’ personal networks.

Recent research into communities of practice (CoPs) has focused on large organizations, suggesting they can be constructed for the purposes of knowledge acquisition and innovation. The present study found that, for science-based SMEs, CoPs are more likely to emerge unplanned to support incremental innovation in the form of problem-solving activities. This paper aims to discuss these points.

Deploying a social constructionist research methodology, thematic template analysis was used to analyze 25 in-depth interviews conducted with a range of employees in six science-based SMEs.

Both intra and inter-organizational CoPs were leveraged for a variety of purposes, including knowledge acquisition and the enhancement of the organizations' ability to generate innovative solutions.

Whilst there is no claim for the representativeness of the sample in relation to the wider population of science-based firms, the paper offers new material and theorizing in a domain which has been dominated to date by a focus upon large organizations and a managerialist orientation.

A contextualized framework for the construction of CoPs in science-based SMEs has been developed from the findings of this study.

The role of CoPs in science-based SMEs and the factors that influence their success or failure have been neglected to date, and thus have received little attention in the literature. Yet CoPs, as we found, can contribute to knowledge acquisition and innovation.

Based on the knowledge-based view (KBV), the purpose of this study is to explore the impact of scientific knowledge resources on innovative performance, as well as the mechanisms, in the science-based innovation practice of biotechnological industry. How scientific knowledge influences the firms’ innovative performance and how external scientific knowledge flows into the firms efficiently are important issues every high-tech firms must consider.

The authors chose biopharmaceutical firms in China as the sample of this study to empirically test the hypotheses.

The study introduces a framework combining scientific knowledge resources, technological capabilities and innovative performance and, then, follows with an empirical investigation on firms in Chinese biotechnological industry. Survey data from biopharmaceutical firms in China prove the significantly positive impact of both stocks and flows of scientific knowledge on firms’ innovative performance, as well as the significant mediation effect, of technological capability.

From the results of this study, the authors derive the important managerial implications that talent exchange, purchasing external knowledge directly and establishing R&D alliances are three effective ways leading external scientific knowledge to flow into the firms.

The study finds that technological capability plays an intermediary role between scientific knowledge resource and innovative performance; tacit scientific knowledge stock and R&D alliance influence innovative performance through technological capability totally among them.

Do firms build new capabilities by hiring new people? We explore this question in the context of the pharmaceutical industry’s movement towards science-driven drug discovery. We focus particularly on the potential problem of endogeneity in interpreting correlation between hiring and changes in organizational outcomes as evidence of the impact of new hires on the firm, and on the more fundamental conceptual question of the conditions under which hiring might be a source of competitive advantage, given the well known objection that resources that are freely available through the market cannot be a source of differential capabilities. Using data on the movement and publication of “star” scientists, we find that the adoption of science based drug discovery within the firm is closely correlated with the hiring of star scientists. This correlation appears to be reasonably robust to a number of controls for endogeneity. We also show that the hiring of highly talented scientists appears to have a significant impact on the behavior of scientists already working within the firm. We interpret this as consistent with the idea that hiring may change organizational capabilities through the interaction of new talent with the policies, routines and people already in place within the firm.

Success in manufacturing industries often depends on the ability of a firm to apply product platforms. In speeding up product development, platforms often enable companies to benefit from scale effects by reusing existing components in the development of new products. In the delivery of complex products and system (CoPS), however, platforms are frequently modified since components have to be changed within their life cycle to meet additional customer-specific engineering demands and evolving innovations in technology. In this article, it will be illustrated that intangible design elements can be used as platforms in firms that deliver CoPS. The paper aims to discuss these issues.

Through extensive fieldwork at a leading supplier of science-based lithography machinery, a modified platform concept was developed and tested that is labelled as the function-technology (FT) platform. The longitudinal data, collected on site, demonstrate positive effects of applying FT platforms.

The results show that an important explanation for firm's success in delivering lithography machinery with attractive performance is their ability to deliver variants that are specific in terms of physical modules, but common in terms of functions and technologies. Based on the results, it can be argued that establishing an FT platform will allow the efficient creation of variants within a family of CoPS.

The findings add considerable insight to the existing literature on operations management by explaining how intangible design elements, instigated during development, can be reused in the delivery of CoPS. Moreover, it enables development managers to more easily structure and reuse complex development tasks.