Favorable strategies for the success of entry into new technological areas: an entrepreneurial perspective

This study considers the act of entering into new technological domains for R&D purposes as one of the most intense entrepreneurial activities within large established firms, referring to it as R&D entrepreneurship. Attempting to detect factors that could strengthen (or weaken) the impact of R&D entrepreneurship on innovation performance, I examine the moderating role of three important R&D strategies, namely the knowledge plurality, internal focus, and R&D collaboration. I empirically test the hypotheses developed in this study on secondary, longitudinal economic and patent data from a sample of 139 firms from the industries of pharmaceuticals, biotechnology, and chemicals for a 7-year period, using fixed-effects negative binomial regression models. Findings support that the relationship between R&D entrepreneurship and innovation performance is positively moderated by knowledge plurality but negatively by internal focus and R&D collaboration.

     

Is technology integration the solution to biotechnology's low research and development productivity?

The demand for innovative and cost-effective products has had considerable impact on the Research and Development (R&D) portfolio of pharmaceutical companies. With the advent of the new enabling technologies, the biotechnology revolution has created a need for a new and more appropriate paradigm for drug development. The progress in the biological understanding of disease processes and related technological developments have been a major step forward for drug discovery. However, the great majority of the biotechnology companies are confronted with the same issues as major pharmaceutical companies in terms of R&D productivity. This article intends to unfold the challenges faced by biotechnology companies involved in drug discovery by managing the complexity, uncertainty and urgency of technology integration through organic, acquisition and partnering strategies have become priorities for biotechnology companies in helping them achieving more efficiency in their pharmaceutical R&D efforts. Such strategies help biotechnology companies apply their technologies across a broad range of applications within the drug discovery value chain to maximize opportunities for product development. Competitive advantage in the marketplace ultimately derives from providing better speed, cost, quality and direction.     

Residual income claimancy,monitoring, and the R&D firm: Theory with application to biotechs

This paper models the assignment of residual income claimancy to an R&D manager and applies the model to biotechnology firms. Residual income claimancy provides incentives for the manager to monitor the R&D process. Since the nature of R&D and of monitoring scientific effort is different, our model predicts stark differences in the residual income claimancy of managers and in other aspects of organization for innovative R&D firms like biotechs. In particular, R&D firms are expected to be more owner‐managed, more expert‐managed, and smaller in size. Cross‐sectional data on biotechnology firms is consistent with these implications. Additionally, longitudinal data indicate that as firms alter their focus on biotech research, their organizational structure changes as expected. Our approach suggests a process of firm and industry evolution related to technological maturity and points to the importance of incentives rather than risk sharing in determining organizational form, similar to the original analysis of franchising. Copyright © 2004 John Wiley & Sons, Ltd.     

PATENTS,R&D,AND TECHNOLOGICAL SPILLOVERS AT THE FIRM LEVEL: SOME EVIDENCE FROM ECONOMETRIC COUNT MODELS FOR PANEL DATA

This paper analyses the relationship between the main determinants of technological activity and patent applications. To this end, an original panel of 181 international manufacturing firms investing substantial amounts in R&D during the late 1980s has been constructed. The number of patent applications by firms is explained by current and lagged levels of R&D expenditures and technological spillovers. Technological and geographical opportunities are also taken into account as additional determinants. In order to examine this relationship, several econometric models for count panel data are estimated. These models deal with the discrete nature of patents and firm specific unobservables arising from the panel data context. The main findings of the paper are first, a high sensitivity of results to the specification of patent distribution. Second, the estimates of the preferred GMM panel data method suggest decreasing returns to scale in technological activity and finally a positive impact of technological spillovers on firm's own innovation. © 1997 John Wiley & Sons, Ltd.     

An empirical enquiry into co-patent networks and their stars: The case of cardiac pacemaker technology

Scientific research concerning R&D staff structures has already been based on networks as they are mapped by co-patent data. The present paper combines the method of patent analysis with network analysis techniques and shows by means of a patent sample from cardiac pacemaker technology, that the different communication functions a star inventor accomplishes in their network are mirrored not only by quantity, but also by quality of patents. The mere patent quantity has a significant positive impact on the size of an inventors’ personal network and the number of inventors they can directly pass information to. But more importantly, there is significant empirical evidence that high technical specialisation has a positive impact on an inventor’s potential to mediate between others as well as on the efficacy to reach them on short notice. For the latter, likewise the number of citations received is a positive predictor. Thus, we characterise stars as industrious, well-known technical specialists and contradict the general assumption that generalists would be the ideal gatekeeper in an R&D network.     

Knowledge spillovers in US patents: A dynamic patent intensity model with secret common innovation factors

During the past two decades, innovations protected by patents have played a key role in business strategies. This fact enhanced studies of the determinants of patents and the impact of patents on innovation and competitive advantage. Sustaining competitive advantages is as important as creating them. Patents help sustaining competitive advantages by increasing the production cost of competitors, by signaling a better quality of products and by serving as barriers to entry. If patents are rewards for innovation, more R&D should be reflected in more patent applications but this is not the end of the story. There is empirical evidence showing that patents through time are becoming easier to get and more valuable to the firm due to increasing damage awards from infringers. These facts question the constant and static nature of the relationship between R&D and patents. Furthermore, innovation creates important knowledge spillovers due to its imperfect appropriability. Our paper investigates these dynamic effects using US patent data from 1979 to 2000 with alternative model specifications for patent counts. We introduce a general dynamic count panel data model with dynamic observable and unobservable spillovers, which encompasses previous models, is able to control for the endogeneity of R&D and therefore can be consistently estimated by maximum likelihood. Apart from allowing for firm specific fixed and random effects, we introduce a common unobserved component, or secret stock of knowledge, that affects differently the propensity to patent of each firm across sectors due to their different absorptive capacity.     

The differential effects of public R&D support on firm R&D: Theory and evidence from multi-country data

This paper aims to evaluate the effects of various forms of public research and development (R&D) support on firms’ incentives to invest in R&D. First, in order to identify potential channels through which public R&D support influences firm R&D, a formal model of firm R&D with public R&D support is developed and analyzed. Four potential channels are identified: the technological-competence-enhancing effect, the demand-creating effect, the R&D-cost-reducing effect and the (project) overlap (or duplication) effect. These multiple channels indicate that it is difficult to evaluate the aggregate effect of public R&D support and that there are differential effects of public R&D support on firm R&D, depending on various firm- or industry-specific characteristics. Second, the differential effects of public R&D support are empirically tested using unique firm-level data for nine industries across six countries. Public support tends to have a complementarity effect on private R&D for firms with low technological competence, for firms in industries with high technological opportunities and for firms facing intense market competition. In contrast, firms with high technological competence and firms that have enjoyed fast demand growth in recent years show a crowding-out effect, and firm size and age do not show any discernible differential effect.     

Real options game models of R&D competition between asymmetric firms with spillovers

Using real options game models, we consider the characterization of strategic equilibria associated with an asymmetric Research and Development (R&D) race between an incumbent firm and an entrant firm in the development of a new innovative product under market and technological uncertainties. The random arrival time of the discovery of the patent protected innovative product is modeled as a Poisson process. Input spillovers on the R&D effort are modeled by the change in the leader’s hazard rate of success of innovation upon the follower’s entry into the R&D race. Asymmetry between the two competing firms include sunk costs of investment, stochastic revenue flow rates generated from the product, and hazard rates of arrival of success of R&D efforts of the two firms. Under asymmetric duopoly, we obtain the complete characterization of the three types of Markov perfect equilibria (sequential leader–follower, preemption and simultaneous entry) of the firms’ optimal R&D entry decisions with respect to various sets of model parameters. Our model shows that under positive input spillover, preemptive equilibrium does not occur in the R&D race due to the presence of dominant second mover advantage. The two firms choose optimally to enter simultaneously if the sunk cost asymmetry is relatively small; otherwise, sequential equilibrium would occur. When the initial hazard rate is low relative to the level of input spillover, simultaneous entry would occur as an optimal decision, signifying another scenario of dominant second mover advantage. On the other hand, when the initial hazard rate is sufficiently high so that the first mover advantage becomes more significant, simultaneous equilibrium does not occur even under high level of positive input spillover.     

How does R&D intensity influence firm explorativeness? Evidence of R&D active firms in four advanced countries

Despite R&D is seen as a starting point of innovation, firms usually confront a trade-off in allocating limited R&D resources to either exploratory or exploitative activities. Relative to the latter, the former produces a more distinctive variation from the prior knowledge base and helps the firm tap into new opportunity. Given the increasing importance of firm explorativeness in the fast changing environments, the influence of R&D investment on firm explorativeness is not yet conclusive in the literature, not to mention whether the increased R&D investment induces firms to become more explorative. This study aims to generate insight into how and when firm explorativeness is determined by their R&D intensity. As a notion of the use of knowledge new to the organization, firm explorativeness is treated as the degree of using knowledge new to the organization in the pursuit of innovation. Based on a panel data of 1267 firm-year observations in four advanced countries during 1999–2003, the results reveal that a higher level of R&D intensity makes firms more exploitative and less explorative. Nevertheless, the negative relationship between R&D intensity and firm explorativeness is found to be alleviated in the presence of technological opportunity or financial slack. The configurational model sheds further light on the combined and relative weight of two moderators.     

The R&D Investment–Uncertainty Relationship: Do Strategic Rivalry and Firm Size Matter?

This paper uses a real options perspective to augment a standard research and development (R&D) investment model and implement a firm‐level empirical analysis to assess the practical significance of market uncertainty and its interactions with strategic rivalry and firm size. We use a measure of firm‐relevant market uncertainty along with panel data and find that firms invest less in current R&D as uncertainty about market returns increases. The effect of firm‐specific uncertainty on R&D investment is smaller in markets where strategic rivalry is likely to be more intense. Furthermore, holding access to financing constant, the effect of uncertainty on R&D investment is attenuated for large firms. Copyright © 2012 John Wiley & Sons, Ltd.     

An analysis of firm-level innovation strategies in the US biotechnology industry

This study examines factors that may affect innovation strategies and performance of firms in the biotechnology industry. Specifically, differences between factors common to firms with high R&D intensity and those to firms with low R&D intensity are investigated. Biotechnology firms with relatively higher levels of R&D intensity attribute their innovation performance to research-based innovation factors and strategies such as strengthening their own research capabilities, entering into research collaborations with universities, industry leaders and other biotech firms, and licensing their technology. These strategies can be summarized as alignment within the industry. Firms with relatively lower R&D intensity have a hybrid focus—they invest in R&D but may also have products on the market. These firms attribute their innovation performance more so to production-based innovation factors and strategies such as gaining market access and maintaining connections with customers. Their strategy focuses on competitiveness, marketing, and distribution channels, while not ignoring the importance of a strong research base and the need to advance technologically. In a sense, strategies employed to achieve successful innovation reflect the stage of innovation in which a firm is operating for a particular product or process.     

The Influence of Technological Knowledge Base and Organizational Structure on Technology Collaboration

This study investigates how an incumbent company's internal characteristics influence its propensity to form learning alliances. A firm may be reluctant to enter a research alliance when it has deep knowledge in a certain technological field due to concerns about knowledge leakage and the low possibility of being able to learn much from collaboration. On the contrary, when the firm has a broad knowledge base, it may have high propensity to enter alliances due to more self‐confidence in its ability to learn fast from partners. In addition, we argue that when a firm concentrates its R&D at a central location, this neutralizes the positive and negative influences of the two knowledge base features on alliance formation. We tested and found support for the hypotheses using a database of 1550 alliances undertaken by 78 large incumbent pharmaceutical, chemical, and agro‐food companies active in the biotechnology sector during 1993–2002.     

How do firm characteristics affect behavioural additionalities of public R&D subsidies? Evidence for the Austrian transport sector

Interest of STI policies to influence the innovation behaviour of firms has been increased considerably. This gives rise to the notion of behavioural additionality, broadening traditional evaluation concepts of input and output additionality. Though there is empirical work measuring behavioural additionalities, we know little about what role distinct firm characteristics play for their occurrence. The objective is to estimate how distinct firm characteristics influence the realisation of behavioural additionalities. We use survey data on 155 firms, considering the behavioural additionalities stimulated by the Austrian R&D funding scheme in the field of intelligent transport systems in 2006. We focus on three different forms of behavioural additionality—project additionality, scale additionality and cooperation additionality—and employ binary regression models to address this question. Results indicate that R&D related firm characteristics significantly affect the realisation of behavioural additionality. R&D intensive firms are less likely to substantiate behavioural additionalities, while small, young and technologically specialised firms more likely realise behavioural additionalities. From a policy perspective, it may be concluded that direct R&D promotion of firms with a high R&D intensity may be misallocated. Attention of public support should be shifted to smaller, technologically specialised firms with lower R&D experience. The findings deliver important insights into interactions of public R&D support and R&D behaviour of firms operating in the Austrian transport sector, bearing significant implications for future policy designs.     

PANEL PROBIT WITH FLEXIBLE CORRELATED EFFECTS: QUANTIFYING TECHNOLOGY SPILLOVERS IN THE PRESENCE OF LATENT HETEROGENEITY

In this paper, we introduce a Bayesian panel probit model with two flexible latent effects: first, unobserved individual heterogeneity that is allowed to vary in the population according to a nonparametric distribution; and second, a latent serially correlated common error component. In doing so, we extend the approach developed in Albert and Chib (Journal of the American Statistical Association 1993; 88 : 669–679; in Bayesian Biostatistics, Berry DA, Stangl DK (eds), Marcel Dekker: New York, 1996), and in Chib and Carlin (Statistics and Computing 1999; 9 : 17–26) by releasing restrictive parametric assumptions on the latent individual effect and eliminating potential spurious state dependence with latent time effects. The model is found to outperform more traditional approaches in an extensive series of Monte Carlo simulations. We then apply the model to the estimation of a patent equation using firm‐level data on research and development (R&D). We find a strong effect of technology spillovers on R&D but little evidence of product market spillovers, consistent with economic theory. The distribution of latent firm effects is found to have a multimodal structure featuring within‐industry firm clustering. Copyright © 2012 John Wiley & Sons, Ltd.     

R&D and Tobin's q in an emerging financial market: the case of the Athens Stock Exchange

This paper aims at providing further evidence on the consequences of R&D investment on Tobin's q for firms publicly traded in an emerging financial market. Panel data methodology is applied using data for the manufacturing and computer firms listed in the Athens Stock Exchange, a market classified as emerging by the major securities analysts, for the period 1996–2004. The empirical findings show first, that the Greek firms' R&D investment effect on the market value of a firm is consistent with other US and European studies. Second, the impact of the R&D investment on the market value is higher for small firms. The findings of this paper may have significant industrial and technological policy implications for other emerging markets sharing similar characteristics to Greece. Copyright © 2010 John Wiley & Sons, Ltd.     

ASSESSING THE EFFECT OF PUBLIC SUBSIDIES ON FIRM R&D INVESTMENT: A SURVEY

This survey examines the empirical literature on the relationship between public R&D subsidies and private R&D investment over the past five decades. The survey reveals a considerable heterogeneity of empirical results that cannot be explained fully by methodological issues. We aim to provide further explanations of the possible causes of that heterogeneity. In particular, we emphasise a set of issues that, in our view, are critical to understanding the potential effect of public R&D subsidies on private R&D spending. Special attention is paid to the dynamic aspects and composition of firm R&D, the constraints faced by the firm (such as financial constraints), and the amount and source of public subsidies. None of these issues have been investigated in depth. We formulate a set of research assumptions to guide future empirical research in this field.     

Technology ladders and R&D in dynamic Cournot markets

Motivated by dramatic and unpredictable technological advances in energy production (for instance drilling and extraction of shale oil), we extend Cournot models of competition to incorporate research and development (R&D) that can lead to (stochastic) drops in production costs. Our model combines features of patent racing with dynamic market structure, capturing the interplay between the immediate competition in terms of production rates and the long-term competition in R&D. The resulting Markov Nash equilibrium is found from a sequence of one-step static games arising between R&D successes, and several numerical examples and extensive analysis of the emerging comparative statics are presented. Analyzing the relationship between current market dominance and the level of R&D investments, we find that market leaders tend to invest more, which in some sense makes oligopoly dynamically unstable. We show that anticipated market transitions have long-term impact; for example the potential of future monopoly can spur R&D investment now, even if the firm is presently uncompetitive and not actively producing. We also show that, surprisingly, random innovations have an ambiguous effect on R&D. This feature, which is driven by the Cournot framework, contrasts with the common situation whereby uncertainty lowers innovation and delays R&D investments. Finally, we demonstrate that increased competition may actually increase efforts to innovate through higher desire to achieve dominance. This would match the anecdotal evidence that the threat of market entrants forces incumbents to maintain high R&D.     

Industry influence on firms' R&D and innovation

This paper examines the effect of peers on a firm's research and development (R&D) policy. We show that firms do not make R&D decisions in isolation, and that industry dynamics play an important role in defining a firm's R&D intensity. Using a large sample of 54,393 firm-year observations from 1991 to 2015 in the United States, we find that firms' R&D decisions are mainly driven by their industry peers' R&D policies. Moreover, we find that R&D mimicking is significant only in the presence of strong product market competition, whereas we do not find any evidence of information-based herding in R&D investments. Our additional analysis shows that our main conclusions remain valid even in the presence of financial constraints, and regardless of the firms' market positions. Finally, we provide evidence that R&D mimicking increases firms' future values, future patent outputs, and estimated patent dollar values. Our findings are robust to endogeneity concerns, and to using alternative sample compositions, R&D intensity proxies, and different industry classifications.     

Optimal regulation of technical progress in natural monopolies with asymmetric information

The focus of this paper is to characterize regulatory mechanisms for natural monopolies to provide for optimal technical progress when information is asymmetric. We model a Bayesian-Nash game where the monopolist has private knowledge of the cost-reducing effects of R&D investment to generate process innovations. In the first case, a price-regulated, profit-maximizing firm whose R&D level is unobservable sets its R&D level efficiently to maximize profits at the output level chosen by the firm. However, the level of technical progress achieved by the firm in this case is too high from the regulator's point of view since, in the second-best regulated solution of interest, the regulator has to provide for the R&D expenditures, assumed sunk, as well as for information rents transferred to the firm. In a second case, it can be shown that if the regulator can observe and set limits on the firm's investment in R&D, social welfare is improved, even though the regulated investment level is no longer efficient at the output level chosen by the firm. The reason for the welfare improvement is that losses in consumer surplus due to a decrease in output and an increase in the price are offset by a decrease in information rents and R&D costs transferred, causing the social costs of public funds to fall. Received: 31 July 1994 / Accepted: 15 January 1999     

A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification

This paper assesses the impact of Research and Development (R&D) spillovers on production for a panel of 1,203 Italian manufacturing firms over the period 1998–2003.The estimations are based on a nonlinear translog production function augmented by a measure of R&D spillovers which combines the geographical distance between firms, the technological similarity within each pair of firms and the technical efficiency of each firm. The estimation method takes into account the endogeneity of regressors and the potential sample selection issue regarding the decision by firms to invest in R&D. Results show that the translog production function is more suitable than the Cobb-Douglas for modelling firm behaviour and that returns to scale are increasing. Moreover, the internal and external stocks of technology exert a significant impact on firms’ production. Finally, it emerges that, for Italian manufacturing firms, R&D capital and R&D spillovers are highly substitutes.