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).     

The effects of R&D subsidies and network embeddedness on R&D output: evidence from the German biotech industry

Although policy makers subsidize firms’ R&D projects to increase innovational output in an industry, region, or country, it remains unclear whether such subsidization triggers additional R&D efforts or crowds out private investments. To address this question, we assess the effectiveness of subsidization for individual and collaborative research in the German biotech industry while also examining the relevance of network embeddedness for patent output. Our results indicate that subsidies do lead to increased patent output, with additional benefits from involvement in more than one project. However, the amount of money is only significant under certain circumstances. Also, it is higher degree centrality in the firm network that significantly increases R&D success.     

Heterogeneous Partners,R&D cooperation and corporate innovation capability: Evidence from Chinese manufacturing firms

In this paper, we examine the differential impact of cooperation with heterogeneous partners on firms' innovation capabilities. We use the number of joint patent applications of Chinese manufacturing firms from 2008 to 2018 to measure cooperation with different types of partners and the number of corporate patents to measure the innovation capability of firms. The results indicate that R&D cooperation with other enterprises, universities, and research institutions all have a significantly positive impact on the innovation capability of enterprises. However, R&D cooperation with universities or research institutions has a higher positive impact on innovation capability than that with other firms. Different internal and external factors moderate the relationship between heterogeneous partners and the innovation capability of firms. Specifically, firms with higher absorptive capacity will benefit more from R&D cooperation with corporate partners. In contrast, in industries with higher market concentration or where firms are at the technological frontier, cooperation with universities will positively impact their innovation capabilities. Further research demonstrates that absorptive capacity has a more positive moderating effect when the cooperation is between firms in the same industry, compared to R&D cooperation between firms in different industries.     

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.     

Business Group Affiliation and R&D

This paper analyzes whether belonging to a business group enhances firms' propensity for and intensity of R&D based on the greater opportunities to finance and co-ordinate R&D strategies and internalize knowledge spillovers. Compared with the existing literature, this paper has the following novelties: (a) it examines how the organization and diversification of business groups influence the R&D investment of affiliated firms; (b) it analyzes the role of R&D spillovers among affiliated firms; and (c) it distinguishes between propensity for and intensity of R&D. We find that less diversified groups are more likely to centralize R&D, while in more diversified groups firms are more likely to be autonomous. We find that controlled companies are more likely to benefit from knowledge spillovers than firms at the head of the group. Finally, we find that R&D autonomy is significantly associated with both a higher propensity for and intensity of R&D in controlled companies.     

R&D vs. Other Factor Inputs in a High-Tech Industry

According to knowledge-based growth theories, catch-up with the global technology frontier calls for a shift from physical investment to innovation. This prevailing premise in Finland is tested with an unbalanced panel of firms in Finnish information and communications technology (ICT) manufacturing, over a period of rapid growth, 1990–2003. Stochastic frontier model estimation results are overwhelmed by scale elasticity associated productivity growth. Contrary to beliefs, R&D productivity was relatively low, regardless if measured by efficiency impacts of R&D intensity, technical change or R&D elasticity of output. Results are consistent with industry outcomes and reveal internal causes to the subsequent downfall of ICT manufacturing in Finland.     

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.     

R&D,capital structure and ownership concentration: evidence from Italian microdata

The purpose of the article is to provide some evidence on the interconnection between capital structure, R&D investment and ownership concentration using a unique panel data-set of Italian firms. We study the effect of R&D intensity on leverage for two groups of firms which are different in terms of their degree of ownership concentration. Our results suggest for Public Limited Companies, a nonlinear relationship between R&D intensity and leverage, with the latter first increasing and then decreasing. Interestingly, the same result is not found to hold true for Private Limited Companies, which are characterized by a more concentrated ownership.     

Public R&D as a Standard-Setting Device

We propose a simple two-firm model with complementarities and imperfect knowledge about the optimal technology. Firms receive two signals about the technology, a public and a private one. We show that with complementarities public signals can serve as a coordination device between firms, even if the private signal is more precise. Our results point to an important function of standard-setting organizations and public R&D: providing a focal point for firms that might not coordinate otherwise.     

R&D Strategy,Metropolitan Externalities and Productivity: Evidence from Sweden

This paper studies the influence of metropolitan externalities on productivity for different types of long-run R&D engagement based on information from the Community Innovation Survey. We apply a dynamic general method of moments model to a panel of manufacturing and service firms with different locations in Sweden, classified as a metropolitan region, the largest metropolitan region, a metropolitan city, the largest metropolitan city and a nonmetropolitan area. This analysis generates three distinct results. First, the productivity premium associated with persistent R&D is close to 8 per cent in nonmetro locations and about 14 per cent in the largest city. Second, a firm without any R&D engagement does not benefit at all from the external milieu in metro areas. Third, no productivity premium is associated with occasional R&D effort regardless of the firm's location.     

Non-continuous growth of firms: some empirical evidence from Italian manufacturing industry

Firms change their size through a row of discrete leaps. A basic model allowing for discontinuous growth can be based on several assumptions that entail testable consequences: profitability is not a continuous function of the firms’ size, but exhibits peaks, each corresponding to a locally optimal size. The model has been tested by using a panel of Italian manufacturing firms. Both the non-parametric analysis and a panel estimation confirm the presence of ‘peaks’ in the distribution of profitability by size.     

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.     

R&D and the overseas earnings of Indian firms

This article examines the impact of undertaking R&D, a measure of the enhancement of dynamic capabilities, on firms' overseas earnings patterns, for a panel of several thousand Indian firms, for the period from 1991–92 to 2005–06. The results show that undertaking R&D spending is associated with a significant rise in firms' average overseas earnings levels. These results point to the need for materially enhancing the very low levels of R&D undertaken by firms in India.     

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.     

An integrated fuzzy approach for the selection of outsourcing manufacturing partners in pharmaceutical R&D

The selection of the outsourcing manufacturing partners (OMPs) is an important issue for research and development (R&D) in the pharmaceutical industry. The selection process considers several main criteria, as well as a few sub-criteria for each main criterion. Such problems can be formulated as hierarchical structures and can usually be resolved with multi-criteria decision-making approaches. This paper presents an integrated fuzzy approach for selecting a suitable OMP in pharmaceutical R&D. In the integrated approach, fuzzy concepts are used for decision-makers’ subjective judgments to reflect the vague nature of the selection process. Fuzzy AHP and fuzzy TOPSIS are included in the integrated approach. Fuzzy AHP is used to determine the fuzzy weights of criteria and sub-criteria because it can effectively determine various criteria's weights in a hierarchical structure. Fuzzy TOPSIS aims to find the OMP with the best performance with respect to the sub-criteria. We exemplify the integrated approach using a numerical application to demonstrate its feasibility.     

A Business Intelligence Approach to Monitoring and Trend Analysis of National R&D Indicators

The economic growth and competitiveness of countries is strongly influenced by their national research and development (R&D) systems. Hence, national R&D managers must make appropriate decisions to develop their R&D systems. For this purpose, an integrated view on the dimensions of national R&D systems is much needed. Due to the distribution of relevant data sources for national, R&D indicators and the complexity of national R&D systems, establishing an integrated view is challenging. In this article, we propose a business intelligence architecture to monitor, analyze, and forecast national, R&D indicators. Data for these indicators are integrated from heterogeneous data sources. In a case study focusing on Iranian R&D indicators, a prototype system is designed and implemented to evaluate its effectiveness in practice. After monitoring the indicators using online analytical processing, trends for the indicators across 11 years are forecasted using time series analysis models. The prototype system provides an integrated view of the Iranian R&D system, so that national R&D managers can use the developed system for monitoring and trend analysis of Iranian R&D indicators. As a result of the analysis of these trends, implications and recommendations for the future of the Iranian R&D system are presented.     

R&D and manufacturing activities regarding managerial effectiveness and open strategy: an industry focus on luxury knitwear firms

The authors structure the field of over-design, over-specification, and over-requirement (OOO) drawing from extant knowledge related to innovative managerial procedures in manufacturing systems, project portfolio management, and performance management. More specifically, we propose allowing the dominant perspectives of OOO and paving the way towards a coherent recognition foundation of innovative strategies in manufacturing systems. This lends itself to an analysis of innovative phenomena in design and production systems that generate OOO and helps to understand what the effects of the OOO on business performance are. The clothing industry in Italy was chosen as a target context because many innovative pioneering medium sized enterprises (MSEs) were operating in the industry. Because of the exploratory nature of the research, a multiple case study approach is adopted in this study. Drawing from extant managerial literature, the proposed structure shows which business model objects and interactions within R&D-manufacturing-marketing activities should be considered when engaging in managing innovative and temporary project portfolio.     

Regional R&D Decentralization and Breakthrough Inventions: A Tale of Two Mechanisms

This study explores the relationship between regional R&D decentralization—i.e. the extent to which R&D activity is distributed among distinct firms collocated in the same geographic area and operating in the same technological domain—and the generation of breakthrough inventions. R&D decentralization might affect the chance of generating breakthrough inventions in two distinct ways. On the one hand, firms might just search in parallel along diverse technological paths, which augments the probability that at least some trajectories will lead to extremely valuable inventions. On the other hand, firms pursuing diverse paths might also exchange knowledge with each other, for instance through inventors' mobility, and such recombination possibly leads to a higher likelihood of producing breakthroughs. By assessing (a) the impact of R&D decentralization on the share of breakthrough inventions and (b) how this impact changes according to the rate of inventors' mobility in regions, this paper aims at understanding which mechanism, if any, actually operates.     

Forms and Determinants of R&D Collaborations: Evidence Based on French Data

The literature on R&D collaboration highlights a broad set of rationales for allying with other organizations. At the same time, it has been reported that there exists a large variety of forms of collaboration. Nevertheless, the relation between the motives to collaborate and the different forms of collaboration has not been examined. In this paper, we attempt to fill this gap by highlighting and explaining the heterogeneity in the forms of collaboration as a result of several interdependent simultaneous choices. Using a sample of more than 3,000 R&D collaborations, a typology of their characteristics allows us to distinguish five discrete forms of collaboration. Then using a multinomial logit estimation, we show how the forms of collaboration vary according to the firms' attributes (size, R&D internal effort, group membership), market and objectives pursued. We also obtain new results on the effects of incoming spillovers as well as appropriability conditions.     

Productivity of R&D institution: The case of Indonesia

This study analyzes the performance of Indonesian R&D institutions based on R&D productivity. By applying an institutional approach, the effects of collective determinants such as quality of researcher, R&D budgets, locations and ages of R&D institutions on productivity are considered. Our findings show that these performance variables had strong and significant effects on R&D productivity. A national innovation system should be developed in developing countries with different models from those used in developed countries. The non-economic dimension is essential in developing national innovation systems in developing countries such as Indonesia.