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The purpose of this paper is to determine the effects of knowledge spillovers on innovation and collaboration among firms located in science and technology parks (STPs). To do so, whether knowledge spillovers imply a greater degree of innovation in its various forms – product, process, organisational and commercial – and greater inter‐organisational collaboration on research and development (R&D) is analysed. Explicitly, this article examines these effects by identifying and distinguishing between firms located on and off STPs.

This paper adopts a quantitative approach. After reviewing the literature, the study tests the hypotheses empirically using a sample of 784 firms, and performing several logistic binomial regressions to analyse the impact of each type of knowledge spillover on each type of innovation and on the likelihood of firms establishing inter‐organisational collaborative R&D agreements.

The results show that knowledge spillovers have a positive impact on firm propensity to innovate and on the probability of firms engaging in inter‐organisational R&D collaboration. Furthermore, firm location within an STP is found to influence the intensity of the effect of spillovers on innovation and on R&D cooperation. Thus, the magnitude of the effects of spillovers differs according to the type of the spillover.

Given the special features of spillovers and the scarce evidence available analysing the relationship between spillovers, innovation and cooperation and the location on STPs, this work contributes significant empirical evidence to the existing literature.

Previous research has analyzed the consequence of network stability; however, little is known about how partner type diversity influence network stability in R&D network. Based on knowledge-based view and social network theory, the purpose of this paper is to unravel the internal mechanisms between partner type diversity and network stability through the mediating role of knowledge recombination in R&D network.

The authors collected an unbalanced panel patent data set from information communication technology industry for the period 1994–2016. Then, the authors tested the different dimensions of partner type variety and its relevance in the R&D network and the mediating role of knowledge recombination through adopting the multiple linear regression.

Results indicate an inverted U-shaped relationship between partner type diversity (variety and relevance) and network stability, whereas knowledge recombination partially mediate these relationships.

From the perspective of R&D networks, this paper explores that there are the under-researched phenomena the antecedent of network stability through nodal attributes (i.e. partner type variety and partner type relevance). Moreover, this paper empirically examined the mediating role of knowledge recombination in the partner type diversity–network stability relationships. The novel perspective allows focal firm to recognize importance of nodal attributes, which are critical to fully excavate the potential capabilities of cooperating partners in R&D network.

The purpose of this paper is to define co-exploitation, co-exploration, and alliance ambidexterity from the perspective of organizational learning; to analyze how knowledge bases, structural arrangements, and control mechanisms of R&D alliances influence co-exploitation and co-exploration; and to discuss how to achieve alliance ambidexterity by managing paradoxes around knowledge bases, structural arrangements, and control mechanisms.

This is a conceptual paper focussing on how to balance exploitation and exploration at the alliance level through managing three paradoxes of cooperation: similarity vs complementarity, integration vs modularity, and contracts vs trust.

While technological similarity, structural integration, and contracts are more likely to promote co-exploitation, technological complementarity, structural modularity, and trust are more likely to facilitate co-exploration. Alliance ambidexterity, which is beneficial for alliance performance, derives from either the combination of technological complementarity, structural integration, and contracts, or the combination of technological similarity, structural modularity, and trust temporally.

Researchers should analyze the possibility of building alliance ambidexterity in other types of interorganizational relationships, and find other possible antecedents of interorganizational learning.

Managers should not simply treat R&D alliances as one of exploratory interorganizational relationships, but pay equal attention to co-exploitation and co-exploration. To achieve this balance, practitioners should combine technological complementarity with structural integration and contracts, or integrate technological similarity with structural modularity and trust.

This paper is one of the first contributions that analyze how an R&D alliance could gain its ambidexterity through the management of nested cooperation paradoxes.

The purpose of this paper is to show how science-industry R&D cooperation (SIRC) generates effects on the strategy developed by firms to appropriate the benefits of innovations. Given the plurality of cooperation patterns between firms and public R&D institutions and the variety of appropriation mechanisms used by firms to protect generated knowledge or to strengthen their market position, this paper investigates to what extent different forms of cooperation are associated with different effects on appropriation strategy.

As evidence of this, the authors carry out a multiple case study, covering nine biopharmaceutical Argentine firms whose innovation projects are developed in cooperation with public R&D institutions. Using critical dimensions identified by public-private R&D cooperation literature, the paper analyzes the characteristics of cooperation in the cases studied, looking for different patterns. Given the existence of various appropriation mechanisms identified by appropriability literature, the paper analyzes how firms use (or not) those mechanisms within the specific context of jointly generated innovation.

The paper shows that SIRC generates opposing effects on the various appropriation mechanisms used by firms, both challenging and strengthening them. Likewise, the identification of three cooperation patterns in Argentine biopharmaceutical sector, namely, contract R&D, internalization and coordination, allows appreciating how each pattern affects differently the appropriation mechanisms used by firms, being the coordination one, the most functional to the appropriation strategy of firms analyzed.

The arguments presented here are necessarily limited to the biopharmaceutical Argentine sector, which is strategic to the country, for accumulated capabilities in scientific and business aspects. The analysis could be enriched by extending it to other industries with similar innovation characteristics and to other countries, where patents have a similar weight (emerging countries) or a different one (developed countries).

Innovation and public-private collaboration policies may benefit from the analysis presented here, which helps to assess advantages and challenges of different SIRC logics on firms’ appropriation issues and to considerate which aspects allow cooperation and appropriation combining in a more virtuous form.

There is no paper that explicitly examines the effects generated by different SIRC patterns on the appropriation strategy of firms, conceived as a combination of different mechanisms which may include patents but is not limited to them.

The purpose of this paper is to examine the factors that influence innovative firms in the manufacturing and service sectors in Spain to cooperate with research institutions in their innovation activities, and to examine the differences between types of firm.

A literature review is used to identify variables likely to influence a decision to cooperate with research institutions. A logit regression model is then used to verify the importance of those variables. The empirical study was carried out using 2,000 Spanish community innovation survey data. The study sample was 3,964 innovative service and manufacturing firms.

It is found that spillovers, R&D intensity, costs, risks and alternative cooperation strategies influence both manufacturing and service firms in the same way in their decision to cooperate with research institutions in R&D. However, the variables relating to firm size, being part of a larger group of companies and type of innovation were shown to affect manufacturing and service companies differently.

There was no control over the possible bias introduced into the study by not including firms that were not innovative. The variables included in the study were constrained by the availability of information supplied by the Technological Innovation Survey. And finally, the comparative study of innovative behaviour in manufacturing and services is exploratory in nature.

The empirical results make it possible to identify a profile of the Spanish manufacturing and service firms that cooperate with research institutions.

This paper is original in exploring the differences between manufacturing and service firms in relation to the determinants of establishing institutional cooperation in R&D.

The paper aims to examine the differences between manufacturing and service sector firms regarding the determining factors for the decision to cooperate with research institutions to perform R&D activities. The second key contribution provided is the identification of institutional cooperation profiles, based on the determining variables of institutional cooperation.

On the one hand, drawing on the Community Innovation Survey for Spain, a Logit Regression Model is used to study the determining factors for institutional cooperation decision. On the other hand, in order to identify institutional cooperation profiles a confirmatory analysis was carried out applying the cluster methodology.

The empirical study confirms that the differences are fundamentally related to transaction cost theory and resource‐based view with respect to the costs. Specifically, these theories' proposal dealing with the variable cost is not empirically confirmed for firms in the service sector.

The principal limitation of this paper derives from the data available, which made it impossible to extend the research to cover a longer time period and affected the manner in which some variables were constructed.

The main implication of the paper can be understood in terms of managerial implications due to the importance of the institutional cooperation on R&D as an innovation management decision. Along this line, the results of the study indicate the existence of various options associated with the active posture on institutional cooperation.

The contribution of the paper is the identification of institutional cooperation profiles, based on the determining variables of cooperation with institutions on R&D activities as well as the identification of the differences between manufacturers and services related to them.

It is widely accepted that enterprises obtaining academic discoveries through R&D collaboration improve their innovation performance. However, it is not necessarily true in emerging economies, such as China and post-socialist countries in Europe. The purpose of this paper is to fill the gap by investigating how R&D collaboration between industry and academia (i.e. universities and research institutes) affects the industrial innovation performance; and whether and how intermediaries moderate their relationships.

This paper constructs the research model according to the knowledge production function, and the pooled ordinary least square regression is used to verify our hypotheses.

Evidence from a sample of Chinese industrial enterprises in thirty provinces spanning from 2009 to 2014 suggests that R&D collaboration with research institutes (CWR) is positively related to innovation output, while R&D collaboration with universities (CWU) exerts negative effect on innovation output measured by sales revenue of new product (NPSR). The significant moderating role of technology transfer institutions is confirmed in the negative relationship between CWU and NPSR.

This paper empirically examines the moderating role of intermediary organisations in academia–industry cooperation and industrial innovation, and has practical implications for the government to formulate policies to improve the quality and effectiveness of cooperation between academic and industrial sectors. These results vary in inland and coastal areas, which suggest the policy makers to formulate policies according to local conditions not only in China but also in other countries, like European countries.

This paper focuses on how the producer inspires his cooperative research partner to reduce carbon emission, by developing a menu of incentive contracts both in research and development (R&D) stage and recycling stage.

The proposed mechanism combines the researcher with the producer in a two-staged closed-loop system. Based on the concept that the producer takes the environmental responsibility, this paper designs a dynamically updating contract for the producer to encourage low-carbon efforts. Meanwhile, the producer offers a menu of contracts against the asymmetric information, that is, the R&D partner owns private information on his low-carbon R&D capability. According to incentive mechanism, the researcher decides whether to tell the truth and how much effort she would exert in R&D and recycling stages.

Discriminating between different types of researchers hurts the producer’s profit. But the updated screening contract can inspire researchers to tell the truth and is beneficial in reducing carbon emissions in the two stages. The results give the optimal solutions of the incentive mechanism. The low-type researcher only obtains reservation profit, whereas the high-type is given more to induce the information.

This paper proposes a strategy of updating the contract factors for avoiding adverse selection and moral hazard. Considering the environmental responsibility of waste products, the producer would like to encourage low-carbon designs among the R&D partners in a closed-loop supply chain.

This paper analyzes the stability and the welfare properties of R&D cooperations in an oligopolistic market with n firms. It is shown that the sizes of stable coalitions vary significantly with the kind and the actual value of spillovers, the institutional arrangement of cooperation between the firms and the underlying stability concept. Moreover, the welfare maximizing coalition is rarely a stable equilibrium outcome, hence there is scope for political intervention. However, the informational requirements on part of the policy makers are high, and they are at risk to adopt inappropriate measures that are detrimental to social welfare.

The present paper reviews the research literature on trust in bargaining and mediation. Several models of trust within the bargaining process are also described. It is concluded that trust means different things, depending upon the relationship under investigation. Trust among negotiators can refer to a personality trail (how trusting a negotiator is of others) or to a temporary state. Within the state perspective, trust often refers to one of three orientations: (1) cooperative motivational orientation (MO), (2) patterns of predictable behavior, (3) a problem‐solving orientation. Trust between a negotiator and constituents usually refers to a cooperative MO (i.e., shared loyalty) between these two groups. The addition of a mediator can impact both the opposing negotiators' relationship and each negotiator‐constituent relationship; the mediator also has direct and indirect relationships with the parties and their constituents. Future directions for research on trust are identified.