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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.

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.

Research on innovation and knowledge management practice would benefit from examining science‐based innovation work, that is, innovations derived from the ability to exploit scientific know‐how, in greater detail. While much engineering innovation work may be predetermined through rational breakdown analysis, there is always a factor of chance and luck in scientific work. Scientific work is never linear and predictable but must always be envisaged as the outcome of a combination of rule‐governed activities and a certain degree of unconditioned discoveries. The purpose of this paper is to report on how practicing laboratory researchers in a major pharmaceutical company regard their innovation work as being what is always of necessity inherently indeterminate and therefore put demands on top management to allow for a reasonable amount of risk‐taking.

Case study methodology based on interviews with 36 laboratory scientists and managers in a major pharmaceutical company.

The paper concludes that innovation research and knowledge management studies need to regard science‐based innovation as a specific form of innovation not wholly capable of being managed through rationalist management control systems.

The paper bridges studies of innovation work in pharmaceutical industry with the perception of risk‐taking among the practicing researchers.

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.

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.

The paper aims to investigate the emergence of science policy in the states of the USA, drawing attention to the fact that every state has a science and technology agency and multiple programs that attempt to raise the level of science and technology in the state and attract resources from elsewhere.

The paper builds upon the authors' previous study of high‐tech growth and renewal in Boston and Silicon Valley through analysis of documents and interviews with key actors in universities, S&T policy units of the Governor's association to detail the bottom‐up initiatives exemplifying the US innovation policy model.

The path dependent elements in US science and technology policy are an enhanced role for universities, an ambivalent role for national government and industry and a growing role for state and local government. Federal research funds, largely confined to support of agricultural research before the Second World War, became available for a variety of civilian and military purposes, on an ongoing basis, after the war. An assisted linear model of coordinated innovation mechanisms has been constructed on this base to translate inventions into economic activity through university‐industry‐government interactions.

The paper shows that S&T policy at the state level fills gaps in university‐industry relations, leverages federal R&D spending and enhances local comparative and competitive advantage.

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.

The purpose of this paper is to analyze the role of external knowledge in the innovation process of firms in the food and beverage (F&B) industry and the effects of two external knowledge sourcing modes on new product development (NPD) performance.

The paper applies a quantitative approach, relying on data from 157 Italian firms operating in the F&B industry to test the hypotheses through OLS regression models.

Results suggest that the surveyed firms actively engage in open innovation with strong ties with market-based sources. Moreover, the authors found that market-based sources are associated with income from incremental innovation and time to market, while science-based sources are associated with income from radical innovation. Finally, the authors found that the R&D intensity enhances the benefits of the above external knowledge sourcing modes.

Despite the large amount of studies assessing the effects of external knowledge sourcing on performance in the open innovation field, few studies focused on a specific industry, especially with regard to F&B. Moreover, this paper considers different types of NPD performance measures given that different external knowledge sourcing modes exert different effects.

Small firms rely on a variety of network partners, and in various roles, to initiate and implement innovations. While past typologies of innovation networking were defined at the level of firms or industries, the purpose of this paper is to develop a typology at the level of innovation objects.

Drawing on survey data of 594 innovations in Dutch small firms, cluster analysis is applied to develop a typology of networking patterns for innovation in small firms.

In total, six patterns of innovation networking were identified: supplier‐based, customer‐based, informal‐based, bank/accountant‐based, science‐based and government‐based. The supplier‐based pattern is most dominant and characterized by modest and simple contributions from networking partners, while governments tend to be involved in innovations marked by voluminous and complex partner involvement. Validity of the typology is suggested by two findings: more voluminous and complex networking patterns are correlated with firms’ internal capabilities, and with the newness and competence requirements of innovations.

For practitioners the typology provides a more fine‐grained view on how innovations in small firms are developed. This includes the role of relatives and friends, bank and accountants, and remote partners such as governments – network partners which so far were not covered in typologies of innovation networking.