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.     

Why are governmental R&D and private R&D complements?

It is well known that government R&D and private R&D have a complementary relationship. However, no previous study has provided an explanation for why that complementary relationship exists. This paper argues that infratechnology is the critical link between governmental and private R&D and that the observed complementarity is the result of technical complementarity at the production level between funding, infratechnology, and knowledge sharing. A theoritical framework based on this argument is developed and examined empirically for supporting evidence. Evidence of technical complementary is found as well as evidence that governmental R&D stimulates the sharing of knowledge.     

Technological districts localized spillovers and productivity growth. The Italian evidence on technological externalities in the core regions

Technological R&D externalities are the effects on the technological capacity of each firm stemming from the complementary and interrelated activities of R&D activities of other firms that operate both in the same industry and in other industries. R&D technological externalities are specially influential at the regional level. Regional proximity enhances the circulation of information, the opportunities for external learning; the scope for capitalizing on potential complementarities among the variety of firms and the different R&D activities being carried out by each firm, and the opportunity for technological networking. The empirical evidence on core regions in Italy in the 1980s confirms that regional clustering of complementary and interrelated R&D activities facilitated the emergence of technological districts. Firms located within technological districts benefited enormously from the R&D technological externalities spilling out from the complementary and interrelated R&D activities of other firms localized in the same area. Consequently, firms localized within technological districts had fast rates of introduction of technological innovations which, in turn, made it possible for total factor productivity levels to be raised with comparatively low levels of intra-muros R&D expenses.     

What are good R&D investment strategies for leaders and followers?

Research and development (R&D) investment affects the growth of firms in the same industry differently according to their technological positions. This study empirically investigates differences in how R&D investment influences firm growth between technological leaders and followers. Additionally, this study investigates the moderating effects of complementary assets and market competition on the relationship between R&D investment and firm growth. Using a sample of 2322 observations from 492 firms in the U.S. chemical and allied products industry for the period 2000–2009, we show that an increase in R&D investment leads to greater firm growth for technological followers than for technological leaders. We also find that the moderating effects of complementary assets and market competition vary depending on whether a firm is a technological leader or follower.     

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.     

Firm's objective function and product and process R&D

Firms undertake different kinds of R&D activities. They do product R&D (R&D aimed at improving the quality of existing products, and creating new products). They also do process R&D (R&D aimed at lowering the cost of making existing and new products). Moreover, firms often do both product and process R&D simultaneously. As far as the objective of firms is concerned, this need not be limited to profit-maximization only. Rather, firms may have a broader objective, where they care about profits as well as consumer surplus. This paper studies effects of a firm having a general objective function (that takes into consideration both profits and consumer surplus) on its product and process R&D choices, and corresponding implications.I consider product and process R&D choices of firms in an infinite horizon set-up with discrete time. Firms in my framework can simultaneously do both product and process R&D in every period, face a discrete-choice model of consumer demand with vertical product differentiation, and maximize a discounted, weighted sum of their profits and consumer surplus over the infinite time horizon.I show how process and product R&D differ from each other in my framework, and the role of a firm's objective function in this regard. I compare process and product R&D choices across firms that differ in their objective function, and illustrate effects of providing general R&D subsidies (subsidies given for any R&D, regardless of whether it is product or process R&D) to firms. I also characterize how in my framework, the choice of process R&D in total R&D — R&D composition — by an individual firm varies over time, and how process and product R&D choices, process and product R&D productivity, and the choice of R&D composition vary across firms that differ in size but are otherwise similar.     

Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms

Both research and development (R&D) and information and communication technology (ICT) investment have been identified as sources of relative innovation underperformance in Europe vis-à-vis the USA. In this article, we investigate the R&D and ICT investment at the firm level in an effort to assess their relative importance and to what extent they are complements or substitutes. We use data on a large unbalanced panel data sample of Italian manufacturing firms constructed from four consecutive waves of a survey of manufacturing firms, to estimate a version of the CDM model of R&D, innovation, and productivity [Crépon–Duguet–Mairesse 1998. Research, innovation and productivity: An econometric analysis at the firm level. Economics of Innovation and New Technology 7, no. 2: 115–58] that has been modified to include ICT investment and R&D as the two main inputs into innovation and productivity. We find that R&D and ICT are both strongly associated with innovation and productivity, with R&D being more important for innovation, and ICT investment being more important for productivity. For the median firm, rates of return to both investments are so high that they suggest considerably underinvestment in both these activities. We explore the possible complementarity between R&D and ICT in innovation and production, but find none, although we do find complementarity between R&D and worker skill in innovation.     

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.     

Inbound open innovation in biopharmaceutical firms: unpacking the role of absorptive capacity

In this study, we extend recent attempts to clarify the role of antecedents of absorptive capacity in realising purposive inflows of external knowledge in the biopharmaceutical industry. By assuming that internal R&D resources contribute to absorptive capacity as a multidimensional concept, we propose a framework for the integrated analysis of the interactions between the different antecedents of absorptive capacity and inbound open innovation of biopharmaceutical firms. Our analysis relies on a set-theoretic approach and uses fuzzy-set qualitative comparative analysis (fsQCA) to study a set of selected Italian biopharmaceutical firms. The analysis reveals that biopharmaceutical companies with a diversified R&D business domain and an extended entrepreneurial scientific network are likely to adopt an inbound open innovation strategy.     

A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies

The planning of technological research and development (R&D) is demanding in areas with many relationships between technologies. To support decision makers of a government organization with R&D planning in these areas, a methodology to make the technology impact more transparent is introduced. The method shows current technology impact and impact trends from the R&D of an organization's competitors and compares these to the technology impact and impact trends from the organization's own R&D. This way, relative strength, relative weakness, plus parity of the organization's R&D activities in technology pairs can be identified.A quantitative cross impact analysis (CIA) approach is used to estimate the impact across technologies. Our quantitative CIA approach contrasts to standard qualitative CIA approaches that estimate technology impact by means of literature surveys and expert interviews. In this paper, the impact is computed based on the R&D information regarding the respective organization on one hand, and based on patent data representative regarding R&D information of the organization's competitors on the other hand. As an illustration, the application field ‘defence’ is used, where many interrelations and interdependencies between defence-based technologies occur. Firstly, an R&D-based and patent-based Compared Cross Impact (CCI) among technologies is computed. Secondly, characteristics of the CCI are identified. Thirdly, the CCI data is presented as a network to show the overall structure and the complex relationships between the technologies. Finally, changes of the CCI are analyzed over time. The results show that the proposed methodology has the potential to generate useful insights for government organizations to help direct technology investments.     

Hidden innovators: the role of non-R&D activities

Although R&D has been highlighted as the main source of firm-level innovations, a significant group of firms develop innovations without performing R&D activities. The primary goal of this study is to understand the sources of innovation in such firms. To accomplish this goal, we explore the role played by other, non-R&D activities that can lead to innovation – activities such as technology forecasting, design, use of advanced manufacturing technologies and training. Our empirical analysis is based on a representative panel of Spanish manufacturing firms. The results strongly support the view that non-R&D activities are critical factors in explaining both product and process innovations attained by any firm, especially in the case of firms not performing R&D. Academic, managerial, and policy implications are derived from these results.     

R&D Investments,Information and Strategy

This paper argues that firms can best realize the value of their investments in R&D by exploiting the associated information asymmetries. Attention is directed away from the physical results of R&D and towards the firm's ability, more generally, to earn rents from the private information emanating from its R&D. Four strategies may be used to exploit the information asymmetries from R&D: (1) publish the details of the innovation in return for legal protection; (2) keep the information inside the firm; (3) make the information selectively, informally available to others; and (4) disseminate the information as widely and rapidly as possible. To implement these strategies, resources may be allocated both to the commercial development of new technologies, and/or to related market opportunities (investing in other companies, assets and technologies). Of critical importance are the innovator's own skills and resources in effectively gathering, understanding, and commercially exploiting R&D-generated information asymmetries, both internally and in relation to other firms. This study should yield new insights to managers in designing strategies (and counter-strategies) to position themselves not only at the technological edge, but more fundamentally, at the 'information edge'.     

In-house R&D,external R&D and cooperation breadth in Spanish manufacturing firms: is there a synergistic effect on innovation outputs?

ABSTRACT

This study explores the nature of relationship between in-house R&D, external R&D and cooperation breadth and their joint impact on patent counts as well as technological, product and process, innovations in Spanish manufacturing firms. With regards to patent counts, empirical findings from a Generalized Method of Moments (GMM) estimator suggest a complementarity effect of internal and external R&D activities conditional on the breadth of R&D cooperation. Concerning technological innovation, results from dynamic random-effects probit models indicate no synergistic effects. In addition, we find evidence of persistence of all three innovation output measures. Our results suggest policy implications in relation to strengthening firms’ absorptive capacity that could have long-run effects.     

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.     

Infra-industry spillovers and R&D cooperation: Theory and evidence

We analyse both the theoretical and the empirical side of the issue of R&D spillovers. Each firm's R&D costs are increasing in the amount of information transmitted to other firms, and we account for the possibility that firms control spillovers. We consider both Cournot-Nash and Cournot-Stackelberg behavior. The empirical analysis suggests that (i) firms' control on spillovers is relatively low; (ii) the cost-saving effect associated to joint ventures or R&D cartels is confirmed for industries where firms rely mainly upon own R&D as a source of innovation; (iii) R&D cooperation may increase information sharing, thereby enhancing spillovers.     

E-commerce,R&D,and productivity: Firm-level evidence from Taiwan

This study investigates the impact of e-commerce and R&D on productivity, using a unique panel dataset obtained from Taiwanese manufacturing firms for the period from 1999 to 2002. We specifically consider the network externalities of e-commerce and employ the system generalized method of moment (GMM) technique to deal with the endogenous problem of e-commerce adoption. The empirical results show that both e-commerce and R&D capital have a positive influence on productivity, while R&D exhibits a larger productivity-enhancing effect. We also find a complementary relationship between e-commerce and R&D on enhancing productivity. Crucially, the inter-industry network externality of e-commerce significantly contributes to productivity.     

Profit-maximizing R&D in response to a random carbon tax

This paper determines a firm’s profit-maximizing R&D response to an uncertain carbon tax, for two different R&D programs: cost reduction of low carbon energy technologies and emissions reductions of currently economic technologies. We find that optimal R&D does not increase monotonically in a carbon tax. R&D into alternative technologies increases only if the firm is flexible enough; R&D into conventional technologies first increases then decreases in a carbon tax. Firms that are very flexible may increase R&D into alternative technologies when the uncertainty surrounding a carbon tax is increased; otherwise firms will generally decrease R&D investment in uncertainty.     

Domestic R&D and offshoring: does offshoring reduce knowledge production?

An important question in industrialized countries is whether offshoring activities reduce the probability of performing own research and development (R&D) or whether the R&D intensity falls in firms that already have R&D activities. This question is addressed using a unique data set that combines survey and register data. No evidence is found for a lower probability of own R&D after offshoring takes place compared to before. Moreover, offshoring does not lead to lower R&D intensity in general. However, firms that offshore R&D activity have larger R&D intensity after offshoring has taken place, which suggests that R&D performed at home is complementary to foreign R&D.     

New technology adoption in a Cournot oligopoly with spillovers

In a two-stage Cournot oligopoly where a subset of firms first make a choice between two alternative production technologies independently and then all firms compete in quantity, the effect of information spillovers is analyzed when the outcome of R&D is uncertain. It is shown that the range of parameter values that support heterogeneous firms in equilibrium will diminish as information spillovers become larger. Particularly, when the spillover effect is so strong that the investment by one firm is beneficial to its R&D active rivals, all active firms will choose the same technology. A similar result can be derived from a socially desirable point of view except that the cut-off magnitude of spillovers is different. By introducing a positive success probability to characterize the uncertainty of the R&D outcome, it is found that when information spillovers are not too small, there will be underinvestment in equilibrium relative to the social optimum.     

Process R&;D and Product Line Deletion by a Multiproduct Monopolist

Relative to single-product firms, a multiproduct monopolist can internalize the negative externalities of its R&D investments (the ``cannibalization effect') in two ways: (1) To lower R&D investment for each product; and (2) To delete some of its product lines so as to enlarge the market size for the remaining lines. It is shown that line deletion is profitable if products are close substitutes. If products are not close substitutes, the multiproduct monopolist keeps all product lines and invests less in cost-reducing R&D than single-product firms engaging in Cournot competition with product differentiation. However, it invests more in R&D than single-product firms if there are significant economies of scope in R&D, or if the oligopolistic firms can cooperate in their R&D decisions.