Multiplicative-innovation synergies: tests in technological acquisitions

Technological innovations enjoy synergies that vary in their speed and magnitude of impact, depending upon whether they are additive or multiplicative in nature. Additive-innovation synergies build incrementally on familiar technologies (as is reflected in the technologies built upon within their patents’ respective antecedents) and the duration of their effect is shorter-lived. Multiplicative-innovation synergies arise from combining greater proportions of diverse technologies and their effects have longer duration. The most-effective organizational-learning processes accompanying exposure to exotic technology streams via technological acquisition will occur if firms have properly invested in adaptive capacity to synthesize inventions using the unfamiliar knowledge. In the first tests of innovation synergies on firm performance, we find that technological novelty in patent content improves return on assets for firms that consistently invested in R&D. Using patent-content scores to characterize whether inventors have integrated greater proportions of exotic technological antecedents into their inventions (or not), we test the impact of innovation synergies on firms’ performance after technological acquisitions. Diversification posture (which could be an alternative explanation for performance differences) is negatively-correlated with innovation synergies in our results.     

Exploring the Patent Explosion

This paper looks more closely at the sources of patent growth in the United States since 1984. It confirms that the increase is largely due to U.S. patenters, with an earlier surge in Asia, and some increase in Europe. Growth has taken place in all technologies, but not in all industries, being concentrated in the electrical, electronics, computing, and scientific instruments industries. It then examines whether these patents are valued by the market. We know from survey evidence that patents in these industries are not usually considered important for appropriability, but are sometimes considered necessary to secure financing for entering the industry. I compare the market value of patents held by entrant firms to those held by incumbents (controlling for R&D). Using data on publicly traded firms 1980--1989, I find that in industries based on electrical and mechanical technologies the market value of entrants' patents is positive in the post-1984 period (after the patenting surge), but not before, when patents were relatively unimportant in these industries. Also, the value of patent rights in complex product industries (where each product relies on many patents held by a number of other firms) is much higher for entrants than incumbents in the post-1984 period. For discrete product industries (where each product relies on only a few patents, and where the importance of patents for appropriability has traditionally been higher), there is no difference between incumbents and entrants.     

Detecting the emergence of technologies and the evolution and co-development trajectories in science (DETECTS): a ‘burst’ analysis-based approach

This work aims to detect the emergence of science and technology fields and to characterise science and technology trajectories. It proposes a new data mining approach, called ‘DETECTS’, for the identification of those research and innovative activities whose intensity increases sharply compared to previous levels and to other developments. This approach also allows monitoring the extent to which field and topic-specific activities further accelerate, stabilise or abate, and the time it takes for such dynamics to unfold. By applying the ‘DETECTS’ methodology on data from scientific publications and patents, this work sheds light on: the structure, articulation and relevance of the most important scientific and technological developments occurred during the period 1990–2011; the extent to which new fields arise from the cross-fertilisation of different technologies; the way in which advancements in science relate to technological progress; and the areas where future developments are likely to occur in the short and medium term. Results further suggest, somewhat unexpectedly, that in some focal technology fields considered, the acceleration in the development of science seems to closely follow the acceleration in the development of technologies, and not vice versa.     

Not searching,but finding: how innovation shapes perceptions about universities and public research organisations

Previous research about firms’ perceptions on the usefulness of public research has not distinguished between technological innovators and non-innovators. With the exception of openness of search, we find that factors shaping such perceptions differ in both types of firms. Non-innovators need market power and the presence of an R&D department to profit from public knowledge. Innovators need less sheltered environments and lesser R&D effort, though the availability of resources and absorptive capacity is necessary. Using a sample of 1,031 Spanish manufacturing firms, we conclude that practical experience in technological innovation enhances firms’ perceptions on the usefulness of public research, not directly but by enabling certain internal changes, i.e. it produces encounters between corporate choices and public research.     

Idea generation: the performance of U.S. States 1997–2007

Regional prosperity increasingly depends on a region’s capacity to have command over the production of ideas. Measuring the production of ideas with patents, the objective of this paper is to analyze how the number of utility patents granted to inventors in U.S. States in different technologies changed between 1997 and 2007 and how States took advantage of the new opportunities and adapted to the changing technology landscape. The paper uses shift-share analysis, traditionally used in employment studies, for analyzing change in patents by technology categories developed by the NBER. The shift-share results show that only a few states were able to take advantage of the information technology driven increases in patents. California dominates in patent production and may be providing spillover benefits to neighboring states. The shift-share decompositions are used as variables in a fixed-effect panel-regression model of state economic growth. The regression results show that the shift-share decompositions provide statistically significant information in explaining growth after accounting for a State’s stock of patents, suggesting that States should concentrate on effective ways to boost their stock of knowledge in rapidly growing technologies to improve state economic growth.     

The private value of patents by patent characteristics: evidence from Finland

I use renewal rates and fees to estimate the private value of Finnish patents by patent characteristic. I disaggregate the value estimations by applicant, patent breadth, and technology. Firm patents are 1.5 times more valuable than patents owned by individuals. This holds also when controlling for technology and breadth. There are large differences in values between technologies but in contrast to the usual assumption made in the theoretical literature, broader patents are not necessarily more valuable than narrower ones. Patent value is skewed and therefore the number of patents should be weighted by an index when measuring technological change. I construct this index for Finnish patents and find that renewing a patent one more year signals a 1.5 times more valuable patent.      

Shaping the path to inventive activity: the role of past experience in R&D alliances

In this paper, we investigate a recurrent organizational event—R&D strategic alliances—and analyze its multidimensional effect on inventive activity; in particular, we examine the quality of the inventive process outcome. In so doing, we address the still-unresolved issue of the impact of past experience in explaining performance differences between firms in the realm of alliance inventiveness. Our results offer new insights concerning the crucial drivers of invention quality and technological breakthroughs. As expected, results suggest that—in the area of R&D—alliances formed by experienced partners are more likely to produce inventions that effectively synthesize technological knowledge from more diverse domains. In fact, experienced alliance partners are more likely to generate useful inventions with a greater innovative impact on others’ subsequent inventions—knowledge that can be built upon. Surprisingly, results are indeterminate with regard to whether innovation via R&D alliance increases invention’s degree of applicability across diverse scientific and technological fields that might cite its patent.     

FDI spillovers on firm survival in Italy: absorptive capacity matters!

The aim of this paper is to explore the effects of spillovers driven by competition and forward and backward linkages between foreign firms and Italian firms. We adopt the firm dynamics framework, which allows us to test the impact of foreign firms’ activity on the probability that local firms will exit. The empirical analysis relies on continuous survival models (Cox proportional hazard models) and uses a representative firm level database from the period of 2002–2010 with data concerning more than 4,000 Italian manufacturing firms. Our estimates regarding the whole sample show that horizontal and vertical linkages have no impact on firm survival. To further test this finding, we perform a more disaggregated analysis that allows for heterogeneity across firms and sectors. We obtain evidence that the effects of FDI spillovers on firm survival follow specific patterns at both the intra- and inter-industry levels based on differences in productivity between Italian firms and foreign firms and on the technological intensity of the industry. Foreign firms’ activity reduces the exit probability of competitors and of downstream local customers (through forward linkages) with low productivity gap but has no impact on high productivity gap firms. Firms in high technology intensive sectors do not benefit from horizontal FDI while in low and medium technology sectors they do. Differences in absorptive capacity may explain these results. However, we also find that vertical linkages with foreign firms in the upstream supplying industries spur firm duration in medium and high tech sectors.     

Internal capabilities,external structural holes network positions,and knowledge creation

Social network theory suggests that firms bridging structural holes by connecting disconnected partners in a network benefit from timely access to diverse knowledge. However, the existing literature reports mixed evidence with regard to the performance implications of this view. Our study examines how a firm’s diverse knowledge base and knowledge-processing capabilities affect knowledge creation when a firm bridges multiple structural holes in an inter-firm network. The model is tested on a sample of 191 firms in high-technology industries. The dependent variable, knowledge creation, was measured by the number of patents generated. Results show that when a firm spans multiple structural holes, its diverse technological knowledge facilitates knowledge creation. However, when a firm already possesses well-developed knowledge acquisition capabilities, spanning structural holes reduces knowledge creation. This paper suggests that internal knowledge base and knowledge-processing capabilities determine the impacts of external network positions on firm knowledge creation. It provides implications on how a firm best capitalizes on external network positions.     

A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology

This paper aims to show how the information contained in patent documents can be used to identify basic and specific technological proximities between firms and therefore a potential research and development (R&D) partner. More generally, it looks at patents as a strategic tool that can be used for concluding cooperative R&D agreements (CRDA). The approach begins by looking at the state of the art on the role of technological proximity in CRDAs. This review clearly raises the problem of measuring technological proximity, which needs to be gauged at a two-fold level: general and specific. Then a dual method based on patent portfolios for analyzing the profiles of different potential partners is described along with an example of its application. Concretely, the exploratory study proposed here is based on an analysis of the patent portfolios of 14 French listed biotechnology companies and those of their main R&D partners. The analysis of 5,603 patents filed by the focal firms and their partners shows how the approach can be used to identify compatible partners that are more or less technologically matched.     

University-industry linkages in nanotechnology and biotechnology: evidence on collaborative patterns for new methods of inventing

The nanotechnology and biotechnology “revolutions” are so-called because their enabling technological breakthroughs were not simply inventions, but discoveries of entirely new methods of inventing. We hypothesize that university participants in either or both of these areas will exhibit greater collaboration with industry than researchers in other areas. We explore this hypothesis for 454 faculty members who conducted research that was patented during the period 1994–1999. Because our data include patents, publications, and funding at the individual level, we are able to examine the industry interaction of faculty who participated in the nanotechnology and biotechnology revolutions, as well as the interaction of faculty contributing to other areas of patentable science. We examine a variety of linkages, including sponsored research, consulting, publication with firm employees and measures of the potential for cross-campus collaboration. The results are striking in that they show significant differences in collaborative behavior across patent types and across the major program areas biological sciences, physical sciences and engineering. The results are consistent with a greater degree of tacit knowledge within the new methods of inventing. We also find significant differences in the embryonic nature and importance of patents across areas.     

Licensing versus selling in transactions for exploiting patented technological knowledge assets in the markets for technology

This paper examines the determinants of the types of technology transactions in the markets for technology. On the basis of the relationship between the characteristics of a firm’s patents and the firm’s decision on whether to license out or sell these patented technologies, we empirically analyze the determinants of the decision. We employ interlocked patent data from the representative Korean market for technology, the National Technology Bank, using a bivariate probit regression model in a theoretical framework that includes the option and transaction cost perspectives. Overall, the results show that the relationship between licensing and selling, the major alternatives in technology transactions, is strongly substitutive. The major finding of this study is that firms in markets for technology tend to prefer licensing their patents when uncertainty is low or transaction cost is high, whereas they tend to prefer selling their patents under opposite conditions.     

Science Is Golden: Academic R&D and University Patents

Many studies have shown indirect effects of academic research by linking academic research to firm patents. However, since the Bayh-Dole Act, universities are allowed to patent inventions that were funded by federal money and to retain the royalties that these patents generate. As a consequence, universities now are interested in protecting their profitable discoveries, just like any commercial firm doing R&D. In this paper, we apply the econometric techniques traditionally used to estimate the patent production function of firms to data on the patents of American universities. We find that more money spent on academic research leads to more university patents, with elasticities that are similar to those found for commercial firms. In addition, we provide estimates of the effect of establishing a Technology Transfer Office on a university's patent output.     

The Role of University Spinout Companies in an Emerging Technology: The Case of Nanotechnology

This study examines the role of university spin-out (USO) companies in the emergence of a new technology, in our case nanotechnology. Three unique data-sets based on patents, co-publications, and firm data pertaining to the unfolding field of nanotechnology in the UK were developed. Subsequent analysis suggests that USOs play an important though not a dominant role. Furthermore, the results indicate that USOs in certain subfields of nanotechnology do not have a strong and growing proprietary technology base, raising questions about the commercial sustainability of these ventures. Overall, we observed that USOs are important contributors to technological change in specific subfields of nanotechnology, but that other actors, notably, large firms and (non-university affiliated) new technology-based firms are even more significant agents of technological change.     

Knowledge diffusion from university and public research. A comparison between US,Japan and Europe using patent citations

This paper estimates the process of diffusion and decay of knowledge from university, public laboratories and corporate patents in six countries and tests the differences across countries and across technological fields using data from the European Patent Office. It finds that university and public research patents are more cited relatively to companies’ patents. However these results are mainly driven by the Chemical, Drugs & Medical, and Mechanical fields and US universities. In Europe and Japan, where the great majority of patents from public research come from national agencies, there is no evidence of a superior fertility of university and public laboratory patents vis à vis corporate patents. The distribution of the citation lags shows that knowledge embedded in university and public research patents tends to diffuse more rapidly relative to corporate ones in particular in the US, Germany, France and Japan.

Measuring the economic impact of research joint ventures supported by the EU Framework Programme

The objective of this paper is to analyse the effects of international R&D cooperation on firms?? economic performance. Our approach, based on a complete data set with information about Spanish participants in research joint ventures supported by the EU Framework Programme during the period 1995?C2005, establishes a recursive model structure to capture the relationship between R&D cooperation, knowledge generation and economic results, which are measured by labour productivity. In the analysis we take into account that the participation in this specific type of cooperative projects implies a selection process that includes both the self-selection by participants to join the consortia and the selection of projects by the European Commission to award the public aid. Empirical analysis has confirmed that: (1) R&D cooperation has a positive impact on the technological capacity of firms, captured through intangible fixed assets and (2) the technological capacity of firms is positively related to their productivity.     

Social murder and conservative economics

Abstract

The hallmark of conservative economic theory is that firms should not be constrained by the state in their pursuit of profit. State intervention is not necessary because firms must obey the will of ‘the market’. Companies must please their consumers or they will not sell anything, and they must treat their workers well or they will have no labour force. Conservative economics assumes that decisions reflect individual preferences and free choice. In this world of voluntary actions, firms and individuals stand on pretty much equal footing; no one has any more power than anyone else.     

University–Industry collaboration in the biopharmaceuticals: the Italian case

We investigate the determinants of University–Industry (U–I) interactions in the biopharmaceuticals in Italy over the period 2004–2010, choosing co-publishing as a proxy of U–I partnerships. We construct a novel dataset of co-published articles, that contains measures of proximities, agglomeration, firms’ and universities’ characteristics. Following a consolidated methodology, we integrate our dataset of effective interactions with the set of all potential interactions, to estimate probabilistic models for the occurrence and the intensity of U–I interactions. Our main findings confirm and extend the predictions of the previous literature: (1) geographical proximity and prior partnership increase the probability and the intensity of co-publication; (2) the proximity of a firm to other biopharmaceutical firms and universities attenuates the relevance of geographical proximity; (3) there exists complementarity between prior partnerships and geographical proximity. A novel result is that firms’ and Universities’ size, firms’ R&D and patents expenditure and the composition of the academic staff as well as quality of academic research exert a significant impact on the intensity of co-publishing.     

Capturing Technological Opportunity Via Japan's Star Scientists: Evidence from Japanese Firms' Biotech Patents and Products

Using detailed data on biotechnology in Japan, we find that identifiable collaborations between particular university star scientists and firms have a large positive impact on firms' research productivity, increasing the average firm's biotech patents by 34 percent, products in development by 27 percent, and products on the market by 8 percent as of 1989–1990. However, there is little evidence of geographically localized knowledge spillovers. In early industry formation, star scientists holding tacit knowledge required to practice recombinant DNA (genetic engineering) were of great economic value, leading to incentives motivating their participation in technology transfer. In Japan, the legal and institutional context implies that firm scientists work in the stars' university laboratories in contrast to America where the stars are more likely to work in the firm's labs. As a result, star collaborations in Japan are less localized around their research universities so that the universities' local economic development impact is lessened. Stars' scientific productivity is increased less during collaborations with firms in Japan as compared to the U.S.     

Public research and the innovation performance of new technology based firms

Assessing the role of publicly funded scientific research in entrepreneurial ecosystems is of great interest for science and entrepreneurship policy. Knowledge from academic research flows into the private sector through publications, patents, and researcher mobility as well as through direct interactions between founders and researchers at public research institutions (PRIs). New technology-based firms (NTBFs) are generally praised for high innovativeness despite their resource constraints and liability of newness. This study therefore investigates the impact of direct interactions with PRIs on NTBFs’ innovation success. In a large sample of NTBFs in Germany, we find that those firms engaging in such knowledge interactions are more likely to introduce new products and services to the market. The strength of this association, however, depends on interaction persistency, internal R&D and the founders’ academic backgrounds. Non-academic start-ups benefit more from continuous informal interactions if they pursue own R&D, which suggests that absorptive capacity matters. In academic start-ups, higher intensities of both formal and informal interactions are associated with greater innovation likelihood. Moreover, continuous informal interactions complement formal ones in the absence of own R&D activity.