Battle royal in biotechnology: R&D vs. product vs. process innovations

Companies regard innovation as a central element of their business. However, as not all innovation types are the same, the central question is: should their announcements bring about the same effect on performance? This article analyses potential differences in firm value derived from the innovation-type announcements ‘R&;D’, ‘product’, and ‘process’, made by intensive news-generating firms such as biotech companies. The empirical application shows a significantly positive reaction to innovation announcements, with the prospect of future innovation (‘R&;D’ investment announcements) having greater impact on firm value than ‘product’ and ‘process’ innovations. Firm experience also acts as a moderator in this innovation–performance relationship, which is particularly relevant for entrepreneurs who need to develop and send credible signals indicating the value of the firm's intangible assets to the market.     

Measuring knowledge intensity in manufacturing industries: a new approach

This article presents the methodology and results for measuring the knowledge intensity of manufacturing industries based on the knowledge-related characteristics of their workforce. The measures link information from the Occupational Information Network project (from the US Department of Labor) and the Occupational Employment Statistics (from the Bureau of Labor Statistics) to produce industry-specific knowledge intensity measures. The new measures overcome the main issues posed by the industry-average R&D share in total sales variable, often used as a proxy for knowledge intensity in the literature.     

Disentangling the effects of process and product innovation on cost and demand

ABSTRACT

We explore in this note different structural models of the impact of process and product innovation on firms' demand and production cost functions. We find that the introduction of process and product innovations affects them differently as could be expected. Both product and process innovation shift forward the demand for the products of the firm. Process innovation reduces production marginal cost, but not always. A possibility, that we cannot prove or reject with the current specification of our models and available data, is that process innovation associated with product innovation raise marginal cost. Interestingly, we also find that advertising significantly augments demand but does not affect production marginal cost. To obtain broader conclusions, richer data will be needed allowing an enlargement of the model, in which process and product innovations could be specified distinctively and well identified.     

Bioenergy innovation and energy policy

Using panel data on 13 OECD countries between 1979 and 2008 this paper examines the affect climate and energy policies have had on the rate of biotechnology innovations. The explanatory variables include a vector of important determinants of patenting activity for biotechnologies (e.g. specific and general research and development expenditures, energy consumption, energy prices and total number of registered patents). Fixed effects are employed to capture unobservable country-specific heterogeneity using a negative binomial model. The empirical results indicate that policies are important for stimulating innovations in biotechnologies. The development of feed-in-tariffs (FITs) and the implementation of tradable green certificates have had a positive and statistically significant impact on patent activity. The economic impact of green certificates is found to be larger than that of FITs. In addition, R&D activities have also had a positive and statistically significant effect on innovation.     

R&D strategy and innovation performance: the role of standardization

Firms now increasingly recognise the important role of R&D strategy in building technological advantage. However, few attempts have linked standardisation with specific R&D strategies in explaining innovation performance. To bridge this gap, this study empirically examines the relationships between R&D strategies, standardisation, and firms’ innovation performance. Based on a sample of 371 firms in China, we use structural equation modelling (SEM) and find that novelty-oriented R&D strategy generates greater accumulation of standardisation knowledge and standards diversity, while R&D openness only positively relates to this standardisation knowledge accumulation. Moreover, standardisation knowledge accumulation is positively related to both administrative and technical innovation performance, while a greater variety of standards only leads to higher administrative innovativeness. More importantly, our results reveal that accumulation of standardisation knowledge mediates the relationships between R&D novelty and administrative and technical innovation performances. Both the theoretical and practical implications that arise from these findings are discussed.     

Knowledge search modes and innovation performance: The moderating role of strategic R&D orientation

Prior studies implicitly assume that knowledge search modes are homogeneous, and little is known about the impacts of specific search modes on innovation. Drawing upon the knowledge search literature, we differentiate among four types of search modes and analyze their impacts on innovation performance. Moreover, we enrich the theoretical framework by recognising the moderating role of strategic R&D orientation in affecting the relationship between specific types of search modes and innovation performance. Using a unique dataset of 418 Chinese firms, we find that, except for inward licensing, value chain search, capital search, and industry-university-research institute collaboration (IUR collaboration) exert positive effects on innovation performance. Moreover, the empirical results indicate that a strategic R&D orientation amplifies the positive effects of value chain search and IUR collaboration while it mitigates the negative effect of inward licensing on innovation performance.     

Effect of proximity on recombination innovation in R&D collaboration: an empirical analysis

Recombination innovation is a process of creatively combining different knowledge domains in an invention. Recombination innovation in R&D collaboration – joint recombination process, which is integration of the organisation’s internal knowledge with the partner’s new knowledge, serves as the stepping stone of the knowledge search in the technological space. This paper tries to illuminate how different dimensions of proximity of the collaborating partners affect the probability of the collaborative innovation to be recombination innovation. Our result shows that technological proximity has a negative effect on joint recombination innovation. Geographical proximity has an inverted U-shaped effect on joint recombination innovation. The positive effect of organisational proximity on joint recombination innovation is not supported.     

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.     

The role of spillovers in research and development expenditure in Australian industries

Using administrative data from firms in Australia that conduct research and development (R&;D), we examine how R&;D activity of other firms and public institutions affect a firm's own R&;D expenditure. We distinguish between the impact of peers, suppliers and clients. We examine whether geographical proximity and industrial clustering affect R&;D spillovers. Overall, we detect positive effects on R&;D expenditure from spillovers from peers and clients to firms that are nearby; within 25 or 50?km. R&;D expenditure by academia, unlike by government bodies, has a positive influence on a firm's own R&;D expenditure within state boundaries. We fail to find any significant role for industrial clusters in augmenting spillover effects.     

The impact of R&D subsidy on innovation: evidence from New Zealand firms

This study examines the impact of government subsidy through R&D grants on innovation output for firms in New Zealand. Using a large database that links administrative and tax data with survey data, we find that R&D grants have a stronger effect on more novel innovation (e.g. applying for a patent or introducing new products to the world) than on incremental innovation (e.g. any product innovation) and that larger, project-based grants are more effective at promoting innovation than smaller, non-project-specific grants. There is little evidence that R&D grants have differential effects between smaller (<50 employees) and larger firms.     

Incorporating innovation subsidies in the CDM framework: empirical evidence from Belgium

ABSTRACT

This paper integrates innovation input and output effects of R&D subsidies into a modified Crépon–Duguet–Mairesse (CDM) model. Our results largely confirm insights of the input additionality literature, i.e. public subsidies complement private R&D investment. In addition, results point to positive output effects of both purely privately funded and subsidy-induced R&D. Furthermore, we do not find evidence of a premium or discount of subsidy-induced R&D in terms of its marginal contribution on new product sales when compared to purely privately financed R&D.     

Spillovers,product innovation and R&D cooperation: a theoretical model

ABSTRACT

We analyze the impact of post-innovation knowledge spillovers on firms’ decisions to invest and cooperate in R&D, forming a research joint venture (RJV). We study the case of two potential investors involved in a non-tournament stochastic competition for developing a new but imitable product. We propose a theoretical model where cooperation may emerge as a subgame perfect Nash equilibrium of a three-stage game. In the first stage, firms decide whether to cooperate; in the second, they decide whether to invest; and in the third, they compete. We show that firms cooperate in R&D when the spillovers are high enough and the fixed costs associated with R&D activities are low enough; however, our analysis suggests that forming an RJV may not always be socially optimal, and subsidizing R&D cooperation may not be efficient. We propose an optimal scheme of subsidies, which should be designed according to the intensity of the spillovers, the level of the R&D costs, and the probability of innovation success. Finally, we show that in the case of mergers the private incentive to invest is maximized, and firms may not need public subsidies to cooperate. When subsidies are costly, not hindering mergers may be the second-best solution.     

Assessment of innovative software technology: developing an end-user-initiated interface design strategy

Knowledge intensive services and, in particular, R&D services contribute significantly to innovation in firms. The objective of this paper is to find out which characteristics of firms explain the acquisition of R&D services and to analyse whether there are differences depending on the typology of the supplier (universities, technology centres and consulting firms). Three main conclusions emerge from the econometric estimations carried out with information from a survey of innovative firms in the region of Valencia in Spain. First, the results show that firm size and age matter in the decision to buy R&D services. Second, our results are consistent with the relevance that the literature gives to human capital in absorbing external knowledge. Third, innovation policy has a significant influence on the decision to acquire R&D services, particularly from universities and technology centres.     

Vertical educational diversity and innovation performance

This paper uses panel data of Swiss firms to analyse the impact of education-level diversity in the workforce on innovation performance, addressing endogeneity by exploiting within-firm variation as well as variation in labour supply across regions. We find that vertical educational diversity increases the extensive margin of R&D and product innovation, particularly new product innovation. However, the relationship with process innovation, R&D intensity, and product innovation intensity is insignificant. These results are in line with the idea that vertical educational diversity enhances the creative moment of the invention phase, while it has no effect on the commercialization phase due to the relevance of coordination and communication costs relative to the gains in creativity.     

Social capital,knowledge sharing,and innovation capability: an empirical study of R&D teams in Iran

Effectively encouraging employees to share valuable knowledge can increase and sustain a firm's competitive advantages. This study adopted an integrated approach to understand casual relationships among knowledge sharing (KS) enablers (social capital factors), mechanism of forming KS behaviours (knowledge collecting and knowledge donating) through individuals’ KS intention, and KS outcome (innovation capability) within research and development teams. The research model was developed by reviewing literature and tested with survey data collected from 230 employees in multiple companies in Iran. Results of partial least squares analysis indicated that social interaction ties (as a structural capital factor), trust, reciprocity, and team identification (as relational capital factors) significantly associated with KS intention. KS intention, in turn, was significantly related to KS behaviours (knowledge colleting and knowledge donating). In addition, findings revealed that members’ willingness to collect and donate knowledge can affect team innovation capability. This study also discusses the implications for fostering social capital and KS behaviours to enhance team innovation capability.     

How technological innovation affects the structure of an industry: entrepreneurship evolution in the biotechnology and pharmaceutical industry since 1980

Challenges faced by the biotechnology and pharmaceutical industry, including reduced R&D productivity and the expiration of drugs that are high in demand, are recently being addressed through technological innovation. Such innovations are highly likely to change the structure and functioning of the industry. Since 2000, biotechnology and pharmaceutical companies have actively made strategic alliance, and technological innovations have changed the source of innovation from R&D to entrepreneurship within the industry. In this study, we identify the evolution of entrepreneurship and discuss the changes caused by technological advancements since 1980 by analysing patterns of exporting and acquiring technology data from Medtrack. Over difference period, biopharmaceutical firms have gained new knowledge and improved technology, and have implemented this newly acquired knowledge and innovation to introduce drugs to the market.     

Strategic R&D and the innovation of products: understanding the role of time preferences and product differentiation

We evaluate the effects of innovation on competition using an optimal control approach that incorporates firms' time preferences. Using a model where firm(s) innovates by investing in research and development to create a more appealing product for heterogeneous consumers, we examine conditions that maximize social welfare. When firm(s) choose discount rate regardless of market structure, a monopoly will develop more innovative products. However, we show that duopolies may increase innovation if competition alters firms' outlook. Finally, we identify firm incentives to behave myopically, which in the context of collusion may impede industry-wide innovation.     

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.     

Into thin air: using a quantile regression approach to explore the relationship between R&D and innovation

Applying quantile regression to 760 Finnish firms, we show that the relationship between R&D and firm performance is less straight forward than so far assumed. OLS regression analysis fails to capture the effect of R&D expenditure at different locations on the performance distribution. We reveal that R&D matters, especially on the medium quantiles, while regressing against the upper quantiles of the economic gains from innovation distribution exhibit decreasing returns scale in R&D. Our results confirm that Gaussian statistics fail to capture the most interesting part of the distribution – namely the extreme observations located in the tails.     

Revisiting measure of R&D spillovers: empirical evidence on OECD countries and industries

Using data for 17 Organisation for Economic Co-operation and Development (OECD) countries over 29 years for 28 industries, this paper estimates industry-wise research and development (R&D) spillovers from the largest R&D investors and the most R&D-intensive industries that contribute 80% of global R&D. In doing so, it tests several assumptions made in the literature, and data rejecting them, proposes a methodology on R&D return estimation devoid of these assumptions. Results show that R&D has substantial spillovers, justifying R&D support policy. Each dollar of R&D generates about 29 cents in spillovers domestically and 4 cents in foreign countries. However, both intra- and inter-industry spillovers vary by industries, implying that the policy of supporting each R&D dollar uniformly across industries is suboptimal. Contrary to industry heterogeneity, the R&D spillovers from an industry do not vary substantially across countries, suggesting that optimal R&D policy across OECD countries might be uniform. An industry-by-industry technology matrix shows that sometimes an idea generates a greater impact on other industries than where it is generated.