Open Strategies and Innovation Performance

Scholarly interest in the relationship between open strategies and innovation performance has been unfailing, and in recent years has even increased. The present paper focuses on inbound open strategies and reviews various approaches (transaction costs, competences, open innovation) dealing with firms' decisions about these strategies. The different approaches result in different conclusions about the optimum level of openness. They are tested empirically taking account of the different degrees of firms' openness (closed, semi-open, open, ultra-open) and their relationship with sales of new-to-the-market products, and using a panel of Spanish firms from a Community Innovation Survey type survey for the period 2004–2008. Our results show that closed and semi-open strategies are the most common among Spanish firms and that open strategies are associated with the best performance, while semi-open strategies are correlated to a higher performance than closed ones. These results hold across different subsamples based on firm size and industry, and are robust to different ways of defining the indicators and to different estimation methods.     

Firm size and compositions of R&D expenditures: evidence from a panel of R&D performing manufacturing firms

The effect of firm size on diverse compositions of R&D expenditures is analysed in detail using firm-level data on the Korean manufacturing sector. On the grounds that each type of R&D activity differs in terms of salability in disembodied form and growth potential due to innovation, a distinction between product vs. process, and new vs. incremental R&D is made. Empirical tests show that the firm size is significantly associated with both the new and incremental R&D. Moreover, firm size is found to be significantly associated with other types of R&D compositions such as the share of R&D devoted to incremental innovation and multidimensional combinations of product, process, new and incremental R&D. These findings support the idea that large firms possess innovative advantages over smaller firms and firm size is an important determinant for firms’ heterogeneous R&D activities. We also discuss the limitations and the implications of the findings.     

Innovation and Firm Growth: Is R&D Worth It?

The paper contributes to an emerging literature that critically questions the degree to which R&D, at the centre of national and transnational innovation policies, results in firm growth. The differences in how innovation affects firm growth is explored for small and large publicly quoted US pharmaceutical firms between 1950 and 2008. We observe that the positive impact of R&D on firm growth is highly conditional upon a combination of firm-specific characteristics such as firm size, patenting and persistence in patenting. For small firms, R&D boosts growth for only a subset of firms: namely, those that patent persistently for a minimum of five years. For large pharmaceutical firms, on the other hand, R&D may have a negative impact on growth; potentially resulting from the low R&D productivity these firms have suffered from since the mid-1990s. These results raise important issues around the R&D and firm growth relationship for small and large firms as well the role of persistence in innovation for boosting firm performance.     

Application and success of R&D subsidies: what is the role of firm age?

This article evaluates the propensity of firms to apply for R&D public grants, their capacity for obtaining subsides and how these relate to the firm age. This analysis is particularly relevant in understanding why young firms may be more or less successful in their application for public subsidies. Using data from an extensive database of 19,236 firms in Catalonia, we estimate a maximum likelihood probit model with sample selection. Our results show that firm age does not exert a significant direct impact on the application propensity in R&D public call, but younger firms tend to show a larger propensity to receive an R&D subsidy. They also show that firm age exerts a moderating role through different internal resources. They highlight the need to design R&D public policies that explicitly favour applications by young firms to help overcome their obstacles to innovation.     

Modes of inbound knowledge flows: are cooperation and outsourcing really complementary?

This study examines the relationship between breadths of two different modes of external knowledge: R&D outsourcing and cooperation. Building upon transaction costs literature and literature on research partner breadth and R&D outsourcing, we hypothesise an U-inverted relationship between outsourcing breadth and innovation performance and a complementary relationship between R&D outsourcing and R&D cooperation. The model is tested on a large sample based on CIS survey for Spain. The empirical analysis confirms the U-inverted relationship between outsourcing breadth and innovation and also reveals an interesting result: the complementary effect of R&D cooperation varies with the level of R&D outsourcing breadth and it is not confirmed for low and medium levels of R&D outsourcing breadth. The results have important implications for theory on the selection of different modes of inbound open innovation and for managers and their cooperation and outsourcing strategies.     

Once bitten,less shy? The influence of prior misappropriation experience on R&D collaboration

Firms often face the challenge of collaborating for innovation and protecting themselves from misappropriation. Given this tension, we investigate the relationship between prior misappropriation of protected and unprotected intellectual property (IP) and R&D collaboration. We combine more than 600 firm observations from the German Community Innovation Survey with patent data and qualitative interview data. Our results consistently point to (1) less subsequent R&D collaboration after being copied (misappropriation of unprotected IP) and (2) more subsequent R&D collaboration after being infringed (misappropriation of protected IP) in the following three years. Moreover, we find indication that firms that are copied start to collaborate more during the subsequent period (four to six years later). Our study adds to a better understanding of the tension between appropriating innovation rents and remaining open to R&D collaboration. Further, we provide insights on how firms strategically leverage previous misappropriation experience to create value.     

Innovation strategies,external knowledge and productivity growth

This paper studies firms′ capability to recombine internal and local knowledge. It measures the outcome in terms of total productivity growth. Using Swedish data on commuting time for face-to-face contacts across all 290 municipalities, we employ a time-sensitive approach for calculating localized knowledge within a municipality and and its close neighbors. Internal knowledge is captured by register data on firms’ innovation intensity. The two sources of knowledge are modeled in a production function setting by discrete composite variables with different combinations of input factors. Applying the model on Swedish firm level panel data, we find strong evidence of differences in the capacity to benefit from external knowledge among persistent innovators, temporary innovators and non-innovators. The results are consistent regardless of whether innovation efforts are measured in terms of the frequency of patent applications or the level of R&D investment.     

R&D,Value Chain Location and Firm Performance in the Global Electronics Industry

In today's global electronics industry, innovation is carried out by various value chain participants, including brand-name manufacturers (sometimes called lead firms), contract manufacturers and component suppliers, but there is little understanding of who benefits most from innovation in such networks. This research examines empirically the relationship of R&D spending and location in the value chain (lead vs. non-lead firms) to firm performance in the global electronics industry by using the Electronic Business 300 data set for 2000–2005. Our results show that firms spending more on R&D have higher gross profits, but do not have higher return on equity (ROE) and return on assets (ROA). There is a strong positive relationship between lead firms and performance as measured by gross profit, ROE and ROA, but the relationship between lead firms and gross profit becomes insignificant when the interaction term of R&D and lead firm is included in the analysis. Finally, lead firm status has a positive interaction effect on the relationship between R&D and gross profit. These findings suggest that the relationship of R&D to performance is mixed, but that lead firms can capture higher value (gross profit) from R&D than contract manufacturers and component suppliers.     

The Nature of Innovation in R&D- and Non-R&D-Intensive Service Firms: Evidence from Firm-Level Latent Class Analysis

Innovation in services has been largely characterised by the predominance of non-technological innovation and low intensity in research and development (R&D) activities. However, most cross-industry analyses still overlook the organisational character of innovation in services. In this article, we use latent class analysis to examine the nature of innovation in 2148 firms from 20 service industries in Spain. On the basis of the analysis of 10 innovation types and 5 kinds of innovation activities, a taxonomy composed of 2 R&D-intensive and 2 non-R&D-intensive clusters is proposed. The findings indicate that organisational innovation counts for three of the four profiles, the new management techniques being the most common organisational innovation in all clusters. Furthermore, micro- and small-sized firms from several subsectors are more likely to be R&D-oriented than medium and large companies. The results underline the coexistence of different innovation patterns within the same industry as well as the predominance of hidden innovators in several industries.     

Post-Catch-Up Strategy for Medium-Sized South Korean Firms: Improving Technological Capabilities by Balancing R&D Intensity and Open Innovation

Abstract

This study examines how R&D intensity and open innovation affect the technological capabilities of firms in newly-developed countries, such as South Korea. East Asian latecomers are transitioning from a catch-up phase toward becoming leaders, and they are engaging in open innovation activities to drive this transition. This research quantitatively analyzes three kinds of open innovation activities—outside-in, inside-out, and coupled—to investigate their influence upon technological capabilities, while also considering the effect of R&D intensity. Data from 75 South Korean medium-sized firms were analyzed, and two major findings are reported. First, technological capabilities are enhanced by some open innovation activities and by R&D intensity. Second, R&D intensity negatively moderates the impact of open innovation activities on technological capabilities. Therefore, it may be concluded that firms with relatively low R&D intensity will gain the most benefit from increasing their open innovation activities.     

Systemic aspects of R&D policy subsidies for R&D collaborations and their effects on private R&D

This paper analyses how context- and time-dependent factors determine the impact of R&D subsidies on firm behaviour with respect to private R&D expenditures. Based on German R&D survey data, we combine propensity score matching with a difference-in-difference estimator in order to measure the causal influence of public direct R&D project funding on firm behaviour. Our results indicate that (i) repeated participation in R&D projects on average leads to a higher increase in R&D expenditures than once-off funding; (ii) the aggregate effect of R&D funding on R&D expenditures of business firms is somewhat higher for business–business collaboration projects than for science–business collaboration projects; (iii) R&D expenditures of business firms that cooperate with science show a higher share of external R&D spending. Results of one particular cluster programme indicate that at least the short-term development of R&D does not so much depend on which programme direct R&D project funding is applied to.     

Principal parameters affecting R&D exploitation of nanotechnology research: a case for Korea

The purpose of this study is to determine principal parameters which affect the R&D exploitation and to explore R&D activities in closed science that positively affect those in open science. Based on 486 nanotechnology projects from five national R&D programs in South Korea, canonical correlation analysis is used to analyze the relationships among R&D parameters of inputs, outputs and outcomes and to determine principle parameters. As a result, this study concludes that the principal parameters are publications with high impact, patents, and academic degrees. This study also shows a positive correlation between activities in open science and closed science. The conclusions suggest that research results with high impact value should be endorsed by the Korean government and should try to keep a balance between R&D exploitation in open science and closed science. This study would be used for establishing South Korea’s R&D policy effective for faster commercialization of nanotechnology related research.     

Determinants of internal and external R&D offshoring: evidence from Spanish firms

This paper analyses the determinants of R&D offshoring of Spanish firms using information from the Panel of Technological Innovation. We find that being an exporter, international technological cooperation, continuous R&D engagement, applying for patents, being a foreign subsidiary, and firm size are factors that positively affect the decision to offshore R&D. In addition, we find that a lack of financing is an obstacle relatively more important for independent firms than for firms that belong to business groups. For these latter, we also obtain that the factors that influence the decision to offshore R&D differ depending on whether the firm purchases the R&D services within the group or through the market: a higher degree of importance assigned to internal sources of information for innovation as compared to market sources increases (decreases) the probability of R&D offshoring only through the group (market).     

R&D,worker training and innovation: firm-level evidence

Firms that invest in R&D and also in worker training are expected to be successful innovators; yet, the extent to which these investments are mutually reinforcing has not been established. This paper addresses that question by analysing the decision to innovate and the number of innovations introduced. Our findings, which are based on a sample of Spanish manufacturing firms, confirm that R&D is more effective when firms also invest in worker training. Moreover, for some smaller firms, investing in workers’ skills (via training programs) boosts innovation even in absence of R&D. Meanwhile, on-the-job training in large firms might serve mainly to reinforce the effects of R&D. Regarding the number of innovations, our result signals that a higher absorptive capacity via higher ability of qualified workers (through schooling or training) leads to improved innovation performance.     

Complementarities Affecting the Returns to Innovation

The purpose of this paper is to determine which firm strategies, perceived benefits of innovation and objectives for innovating in various manufacturing industries are indeed complementary with innovation. The test for complementarity is performed by proving that the data satisfies a set of supermodularity parametric equation restrictions. Our estimation results, from Canada's national innovation survey, show a wide variation in complements affecting the perception of the value of innovation to a firm. In terms of profit, complementary variable pairs for world‐first innovators exceed those of firms who report a Canada‐first or firm‐first innovation. With labour productivity, complementary variable pairs for the Canada‐first innovators exceed those of the world‐ and firm‐first innovators. It is readily apparent though, that a high‐technology industry does not necessarily equate to a high degree of complementarity.     

Innovation and firm growth over the business cycle

This paper investigates how the macroeconomic business cycle impacts the empirical relation between innovation and firm growth. Based on representative panel data of Swiss firms ranging from 1996 to 2014, the paper finds that firms with innovations based on R&D activities show higher sales growth rates than non-innovative firms in periods dominated by economic recessions. This finding is in line with the idea that recessions play an important role in the adaptation process of the economy towards the innovative. In contrast, the paper finds that firms with innovations based on other, non-R&D innovation activities show higher sales growth rates than non-innovative firms in periods dominated by economic booms. Hence, while firms with innovations based on R&D activities are more resilient to business cycle fluctuations than non-innovative firms, firms with innovations based on other, non-R&D innovations activities are more sensitive to business cycle fluctuations than non-innovative firms.     

The role of firm R&D effort and collaboration as mediating drivers of innovation policy effectiveness

This paper investigates the impact of firm R&D policies supporting R&D investment and collaboration on company innovation performance. Individual and cooperative R&D investments are considered as intermediate outcomes (input and behavioural additionality, respectively) contributing to the final outcome (probability of product innovation). We use a treatment random coefficient model to estimate the policy additionality on a panel data-set merging the third and the fourth wave of the Italian Community Innovation Survey. Results show a significant and positive policy impact on company propensity to product innovation only for the input additionality and for the interaction between the input and the cooperative additionality. This occurs when company cooperation scores overcome a given threshold, in accordance with the assumption that cooperation entails benefits but also coordination costs.     

German Industrial Structure in Comparative Perspective

This paper analyses German manufacturing structure in comparison with other EU member states. The paper analyses trends in R&D expenditure and export market shares in the OECD countries, discussing how differences between national institutional frameworks may impact on the innovation strategies that domestic firms follow. It has recently been argued that there is an ‘innovation crisis’ within Germany. The available evidence shows that although Germany is maintaining an overall comparative advantage in R&D intensive industries, this is no longer the case in very high-technology industries.     

Is there a fallacy of composition of external R&D? An empirical assessment of the impact of quasi-internal,external and offshored R&D

Empirical studies at the individual firm level often find a positive impact of external R&D on innovation. However, external R&D sourcing might produce an impoverishment of the local knowledge base and thus damage innovation production at the regional level. To address this possible fallacy of composition, we first review the various forms of ‘external’ R&D. We then use the French R&D survey to assess the impact of four different ways of transacting or collaborating on R&D: onshore affiliate external R&D, offshore affiliate external R&D, onshore non-affiliate and offshore non-affiliate external R&D. We then estimate knowledge production functions on the 94 metropolitan French NUTS3 regions observed between 1997 and 2008, differentiating internal R&D and these categories of external R&D. We obtain that the impact of onshore non-affiliate external R&D is significantly negative. The other external R&D categories are non-significant and we do not detect any complementarity between internal and external R&D.     

Multi-network embeddedness and innovation performance of R&D employees

Taking the perspective of multi-network embeddedness, this paper constructs the collaboration network of R&D organizations, the collaboration network and knowledge network of R&D employees based on the patent data of 879 R&D employees from 224 R&D organizations, and analyses factors that have significant impacts on R&D employees’ innovation performance. The results show that R&D employees’ knowledge combinatorial potential and knowledge diversity have significant positive impacts on their innovation performance. R&D employees’ degree centralities in the collaboration network mediate the impacts of their knowledge combinatorial potential and knowledge diversity on innovation performance. The degree centralities of R&D organizations moderate the impacts of R&D employees’ degree centralities on innovation performance.