Exploring potential R&D collaboration partners through patent analysis based on bibliographic coupling and latent semantic analysis

The aim of the present research is to provide a new systematic methodology to explore potential Research and Development (R&D) collaboration partners using patent information. The potential R&D collaboration partners are visualised as a patent assignee level map based on technological similarity between patents by using the network analysis. The proposed framework utilises two analytic methods to measure technological similarity. The first method, bibliographic coupling analysis, measures technological similarity based on the citation relationship using patent bibliographic information. Second, latent semantic analysis is utilised based on semantic similarity using patent textual information. The fuel cell membrane electrode assembly technology field is selected and applied to illustrate the proposed methodology. The proposed approach allows firms, universities, research institutes and governments to identify potential R&D collaborators as a systematic decision-making support tool.     

A contribution to the theory and empirics of Schumpeterian growth with worldwide interactions

This paper proposes an integrated theoretical and methodological framework characterized by technological interactions to explain growth processes from a Schumpeterian perspective. Global interdependence implied by international R&D spillovers needs to be taken into account in both the theoretical and empirical models. For this task, spatial econometrics is the appropriate tool. The econometric model we propose includes the neoclassical growth model as a particular case. We can therefore explicitly test the role of R&D investment in the long-run growth process against the Solow growth model. Finally, the properties of our spatial econometric specification allow the explicit evaluation of the impact of home and foreign R&D spillovers.     

An investigation over inbound open innovation in SMEs: insights from an Italian manufacturing sample

ABSTRACT

Building on the Open Innovation (OI) framework, the purpose of this paper is to examine the R&D inbound model of small and medium enterprises (SMEs). Specifically, we focus on the impact of different horizontal R&D collaborations on product innovation and innovation performance. Hypotheses are tested using a Probit/Tobit regression on an Italian sample of 2591 manufacturing SMEs. Our analysis shows that collaborating with different horizontal R&D partners brings to different innovation outcomes. In particular, R&D collaboration with universities has a positive impact on product innovation, but not on innovation performance. Whereas, R&D collaboration with research centres and other private companies has a positive impact on both product innovation and innovation performance. Our findings provide implications for SMEs managers and entrepreneurs who have to decide between R&D partners for their innovation strategy. Avenues for future research are discussed.     

Differentiation of innovation strategies based on pharmaceutical licensing agreements: Insight from Korean pharmaceutical firms

The paper aims to show how licensing behaviour can be used to differentiate distinct innovation strategies. Information on in-licensing and out-licensing agreements is used to guide the development of a framework that details the licensing firm’s relational preference for internal and external orientation. Using firm-level data of the Korean pharmaceutical firms, the study categorised the distinct strategic orientations of firms based on the proposed matrix model. The results indicated that firms with higher R&D (research and development) expenditures have a tendency to greater external exploitation of technological knowledge than firms with low R&D spending. The study provides potential avenues for targeting of licensing partners from the perspective of firms seeking to in-license or out-license their innovations.     

On `indirect' trade-related R&D spillovers

An influential literature argues that trade promotes knowledge flows and technology transmission between trading partners. This literature focuses on `direct' research and development (R&D) spillovers which are related to the levels of R&D produced by the trading partners. In this paper, we argue that `indirect' trade-related R&D spillovers also take place between countries, even if they do not trade with each other. These `indirect' spillovers are associated with available rather than with produced levels of R&D. Our empirical results suggest that these `indirect' trade-related spillovers are at least as important as the `direct' ones, and strengthen the view that trade does matter for the international transmission of R&D. They also suggest that, due to the existence of these `indirect' effects, bilateral trade patterns are relatively less important determinants of the level of foreign R&D spillovers acquired through trade.     

Cooperation in R&D through a network,an ‘organizational gamble’? an empirical analysis of rhône poulenc rorer-gencell

This paper is based on the empirical analysis of innovation challenges to Rhône Poulenc Rorer-Gencell (RPR-Gencell) resulting from development of biotechnology in the pharmaceutical industy. These we identify as an organizational innovation involving the development of a network of partners following and/or inducing a technological innovation. RPR-Gencell represents a ‘style of innovation’ since it is based on various factors specific to the firm and corresponds to a new organizational form, the ‘tight network’ of partners. We argue that this organizational from, in the context of the development of biotechnology in the pharmaceutical industry, can be likened to an ‘organizational gamble’ associated with a ‘technological gamble’ Altogether, this ‘gamble’ dimension means that the network of partners in R&D is still a marginal organizational form. After an introduction we show that the specficities of the pharmaceutical industry especialy since the emergence of biotechnohgy have led to the emergence of a multiplicity of institutional arrangements governing cooperation in R&D. We take as a specific example that of gene therapy. Later on, we present some stylized facts to emphasize the diversity among the network organizational forms. The network of partners is an alternative to the other complex but ‘clarsical’ forms of cooperation (R&D agreements, cross-licensing, joint-ventures, mergers/acquisilions). We propose a new definition of the network based on the case of RPR-Gencell: the ‘tight network’. We distinguish between the ‘tight network’ and all the other approaches, focusing in particular on the ‘loose network’ of cooperative relationship (mostly multifirm alliances implemented with several bilateral contracts). Only two pharmaceutical companies have adopted the ‘tight network’ to govern their cooperation in R&D. We present the network ofpartners as an organizational innovation governing a technological innovation. We argue that this organizational innovation could be likened to an ‘organizational gamble’ in the case of the pharmaceutical industry. Finally, we show that the network raises several organizational issues since it short-circuits traditional strategic operations in the pharamaceutical industry. We argue that among many different reasons, RPR's technological choices (especially the priorig given to gene therapy) have influenced the creation of its network of partners. As a conclusion, we discuss the link between the organizational innovation and the technological innovation focusing on the ‘gamble’ dimension of such an innovation.     

Exploring potential R&D collaborators with complementary technologies: The case of biosensors

The study provides a framework for exploring potential R&D collaborators with technological complementarity in products consisting of multidisciplinary technologies. This framework is proper when firms have insufficient information on who may possess the desired complementary technologies. The proposed framework applies two exploratory methods to patent information. The first method, association analysis, mines the interaction between different technologies for the studied products, and produces results that are useful to understanding the complementarity of various technologies. The proposed framework then uses nonlinear principal components analysis to determine the relationship among integrated technologies, specific technology fields, and patentees. The proposed method allows firms to identify patentees with complementary technologies and locate potential R&D collaborators. This study uses an empirical case from the biosensor industry to illustrate how to identify potential R&D collaborators.     

Does partner type matter in R&D collaboration for product innovation?

Most firms tend to utilise various types of R&D collaboration partners simultaneously and partnerships between different types of partners show different properties. Thus, the effect of R&D collaboration may vary depending on partner types. This study considers four partner types: competitors, customers, suppliers and universities. It empirically examines the effect of R&D collaboration with each type of partner on product innovation, employing the Korean Innovation Survey data. Results show that R&D collaborations with customers and universities have a positive effect on product innovation, whereas R&D collaborations with suppliers and competitors have an inverted-U shape relationship with product innovation. This result can provide an explanation to the chaotic results of previous research and assist managers in selecting appropriate R&D partner.     

Knowledge organisation in R&D alliances: its impact on product innovation

Based on the knowledge-based view of the firm, this paper analyses how alternative configurations of technological relatedness in interfirm research and development (R&D) alliances influence specific types of product innovation. A longitudinal study of pharmaceutical firms provides support for the argument that complementary alliances contribute to the development of both radical and incremental innovation. Collaborating with partners that have similar technologies only enhances incremental innovation, although its impact is curvilinear. These evidences highlight the importance of designing a suitable portfolio of R&D alliances in order to develop different innovative competences.     

The architecture of R&D joint projects: the social network analysis approach

This paper examines the effect of network properties on the performance R&D joint projects. In particular, we examine the impact of network cohesion, diversity and shape on the performance of these of exploration and exploitation R&D projects. We test these measures using data on projects from European R&D networks developed under the framework of Eureka projects. The empirical results indicated some network properties enhance the project’s performance and these differ depending on the kind of technological project developed. Our results suggest a lower heterogeneity, greater cohesion and network centralisation in exploitation than in exploration projects. Our findings show different types of structures depending on the aim of the joint project and that there exist different degrees of cohesion between the partners that comprise the core and the peripheral nodes.     

Knowledge spillovers,absorptive capacity and total factor productivity in China’s manufacturing firms

Applying the stochastic frontier framework, this study explores the diffusion and absorption of technological knowledge in China’s manufacturing firms, based on a panel of more than 10,000 local and foreign-invested firms over the period 1998–2001. Our empirical approach allows us to distinguish between technological progress (TP) and technical efficiency (TE) in analysing whether R&D, exports and the presence of foreign direct investment simultaneously enhance TP through knowledge spillovers in a single framework and whether different types of domestic absorptive capacity moderate external knowledge spillovers in relation to TE. The results show that there are positive inter-industry productivity spillovers from R&D and foreign presence, whereas evidence of intra-industry productivity spillovers from FDI to Chinese firms is less robust. We find evidence that absorptive capacity is one of the key determinants to quantitatively explain intra-industry differences in productivity of local Chinese firms. The findings have important policy implications.     

Identifying R&D partners through Subject-Action-Object semantic analysis in a problem & solution pattern

Today’s companies still rely heavily on expert knowledge rather than quantitative data with a systematic approach to effectively identify and choose Research and Development (R&D) partners. It is advantageous to identify and select potential R&D partners using a Problem & Solution (P&S) pattern. This paper presents a novel process for identifying R&D partners on the basis of solution similarities that assist technology managers in understanding the relationships between research targets. First, we choose a thematic dataset that contains problems and quantitative data with relative topic terms. Then, we extract Subject-Action-Object semantic structures in a P&S pattern from the dataset, and identify various solutions to a technical problem, with each as a subject. In addition, we provide correlation mapping to visualise the text characters and identify R&D partners. Finally, we validate the proposed method through a case study of the dye-sensitized solar cells sector.     

Inter-Firm Technological Cooperation: Effects Of Absorptive Capacity,Firm-Size And Specialization

This paper aims to add evidence on the role played by firms' technological competencies in the determination of their intensity of cooperation with other firms. Using a database composed by patents jointly filcd by two or more firms in the European Patent Office, the paper confronts the hypotheses of complementary or substitutive character of technological cooperation in relation to intra-mural R&D. The results suggest that more technologically and productive specialized firms are more likely to cooperate and find no support for the hypothesis that greater level of R&D expenditure will induce greater reliance on technological cooperation. It is also suggested that firms cooperate with partners that hold cotilplenientary competencies.     

A simple theory and evidence on the determinants of firm R&D

This paper derives a simple, but informative, model of firm R&D to figure out key factors that determine firm R&D effort. The model suggests a demand-pull, technology-push theory of R&D by showing that a firm's profit-maximizing R&D expenditure is determined jointly by both demand-side factors and technology-side factors. The former includes demand size (firm sales) and consumer preference over quality and price and the latter includes R&D cost structure or the production-cost effect of product R&D and firm-specific technological competence. In addition, the model shows that other things being equal, the stock of exogenous technological knowledge, including the firm's previously accumulated technological knowledge, relevant to current R&D which is negatively related with current R&D effort. An empirical analysis of firm R&D intensities and technological capabilities of more than 1600 firms in nine industries across six countries provides supportive evidence for the theory. Further, the theory implies that R&D intensity or the R&D-to-sales ratio is independent of firm size unless firm size affects technological competence and that given consumer preference and R&D cost structure facing all firms in the same industry, the distribution of firm-specific technological competence among firms determines the distribution of firm R&D intensities within the industry.     

Anti-competitive conduct, in-house R&D, and growth

Incumbent firms have two basic possibilities to improve their competitive position in the product market: Investment in R&D and the creation of entry barriers to the disadvantage of potential rivals, e.g. through lobbying activities, campaign contributions, bribes or the adoption of incompatible technologies. This paper proposes a simple oligopoly model which raises the possibility that such anti-competitive conduct and R&D investment are complementary activities for incumbents. Consequently, an institutional framework or technological possibilities which encourage anti-competitive conduct, although impeding entry of potential rivals and accentuating standard oligopoly distortions, may foster R&D-based growth and welfare. However, this outcome is less likely if entrants exert technological spillover effects, e.g. through foreign direct investment. Stronger protection of intellectual property rights, although triggering anti-competitive conduct and thereby impeding market entry as well, is more likely to foster economic growth.     

Firms’ productivity growth and R&D spillovers: An analysis of alternative technological proximity measures

This paper aim at assessing the impact of R&D spillovers on firms’ economic performance as measured by productivity growth. The construction of R&D spillovers is based on Jaffe's methodology (1988, 1996) which associates econometrics and data analysis. The main objective of the paper is to extend Jaffe's methodology by examining alternative methods for measuring R&D spillovers and to test their impacts in terms of the robustness of results. In particular, the method used to classify firms into technological clusters as well as the metrics implemented to appreciate firms’ technological proximities which enter the construction of spillovers are further investigated. In addition to R&D spillovers, firms’ own R&D capital, labour and physical capital are estimated by means of a Cobb–Douglas production function. The data set consists of a representative sample of 625 worldwide R&D intensive firms over the period 1987–1994.     

Multimarket contact and inter-firm cooperation in R&D

Research joint ventures (RJVs) have been widely acclaimed for their alleged ability to restore private incentives to undertake R&D. Economists have, however, also sounded the alarm concerning the opportunities RJVs may create for collusion between partners. The danger of anti-competitive behavior increases significantly when repeated R&D collaboration occurs between firms that also “meet” in many product markets. This phenomenon is shown to be present in a large set of U.S.-based RJVs. The question is about the incentive trade-off: Are the alleged advantages of RJVs in terms of enhancing incentives for R&D sufficient to overcome the potential disadvantages in terms of decreasing incentives for R&D due to simultaneous multiproject and multimarket contact? Significant foreign participation, high technological and market uncertainties, and the set up of “porous” RJVs may operate as a check to anti-competitive behavior.     

Is Embodied Technology the Result of Upstream R&D? Industry-Level Evidence

This paper provides an exploratory analysis of whether data on the research and development (R&D) spending directed at particular technological/product fields can be used to measure industry-level capital-embodied technological change. Evidence from the patent literature suggests that the R&D directed at a product, as the main input into the “innovation” production function, is proportional to the value of the innovations in that product. I confirm this hypothesis by showing that the decline in the relative price of a good is positively correlated with the R&D directed at that product. The hypothesis implies that the technological change, or innovation, embodied in an industry's capital is proportional to the R&D that is done (“upstream”) by the economy as a whole on each of the capital goods that a (“downstream”) industry purchases. Using R&D data from the National Science Foundation, I construct measures of capital-embodied R&D. I find they have a strong effect on conventionally measured total-factor productivity growth, a phenomenon that seems to be due partly to the mismeasurement of quality change in the capital stock and partly to a positive correlation between embodied and disembodied technological change. Finally, I find the cross-industry variation in empirical estimates of embodied technological change accord with the cross-industry variation in embodied R&D. Journal of Economic Literature Classification Number: O3.     

Industry R&D intensity distributions: regularities and underlying determinants

This paper aims to examine the nature of the distributions of firm R&D intensities within industries and explore the factors that underlie the industry R&D intensity distributions. In particular, following the seminal study by Cohen and Klepper (1992) and using some new and rich data on firm R&D intensities for seven industries across six countries, this study examines the regularities in the industry R&D intensity distributions and demonstrates, based on a simple model of firm R&D, that the industry R&D intensity distributions are governed by the distributions of technological competence, a measure of firm R&D productivity, which corresponds to the notion of the “unobserved R&D-related capabilities” suggested by Cohen and Klepper (1992). This study found that firm R&D intensities within industries are lognormally distributed, displaying a strikingly regular pattern across industries, that the industry distributions of the levels of technological competence are also lognormal, and that, based on the formal model of firm R&D and the notion of the unobserved R&D-related capabilities, the distribution of firm technological competence within an industry underlies the industry's firm R&D intensity distribution.     

Bargained shares in joint ventures among asymmetric partners: Is the matthew effect catalyzing?

The impact of asymmetries between partners on the likelihood of establishing successful research and development and production joint ventures relative to the alternative of own development is assessed analytically. The often empirically observed 50/50 sharing rule in asymmetric alliances is compared to a bargained rule, where asymmetries in absorptive capacity, as well as R&D and production efficiency are explicitly taken into account. Industry settings in which successful asymmetric alliances are more likely to occur are pinpointed. The analysis focuses on the influence of the size and format of these asymmetries, the technological appropriability and complementarity between partners on the incentives for both partners to cooperate as well as to cheat on the venture agreement. The results are compared to a setting where the joint venture is only involved in R&D.