The antecedents of new R&D collaborations with different partner types: On the dynamics of past R&D collaboration and innovative performance

We examine firms' propensity to adapt their R&D collaboration portfolio by establishing new types of R&D collaboration with different kinds of partners (suppliers, customers, competitors and universities & public research institutions). We argue that existing R&D collaboration with one of the two value chain partners (suppliers or customers) is associated with the formation of new R&D collaboration with the other value chain partner to ensure temporal alignment in innovation within the value chain. In contrast, issues related to governance and unintended knowledge spillovers suggest that ‘horizontal’ R&D collaboration with competitors only spurs R&D collaboration with other partner types if such competitor R&D collaboration has been discontinued earlier (‘delayed temporal alignment’). We posit that persistent prior R&D collaboration with institutional partners is an antecedent to the establishment of new R&D collaboration with industrial partners, and that discontinuation of a particular type of R&D collaboration is likely to lead to a restart of such R&D collaborative effort. Strong prior innovative performance is expected to increase the probability that firms establish R&D collaborations with new partner types, except for R&D collaboration with competitors, since the most innovative firms may fear leakage of proprietary knowledge to rivals. We find broad support for these predictions in a large panel of Spanish innovating firms (2004–2011). Our findings highlight that it is not just the configuration of R&D collaborations with existing partner types that predicts tie formation with new partner types, but also the intertemporal pattern of prior R&D collaboration and managerial discretion provided by past innovation success.     

Creating competencies through collaboration:: The case of EUREKA R&D consortia

This article discusses the originality of European EUREKA consortia. Formed at the initiative of member firms, these consortia generally adopt a decentralised structure. Their main purpose is to conduct applied research, with the ultimate goal of exploiting its commercial opportunities. The consortia strive to ensure collaboration among firms in different countries, and at times, from different industries. Examining the management of R&D consortia, this article focuses primarily on the creation of new knowledge and competencies and on the benefits that member firms can reap from collaboration. Based on 20 interviews with project managers, the article brings to light two main observations: (1) the leader's positioning is a determining factor, and (2) a perfect balance between the firm's technological development and the consortium's strategic orientation facilitates the acquisition of competencies.     

Internationalization and Indigenous Technological Efforts of Emerging Economy Firms: The Effect of Multiple Knowledge Sources

Getting engaged in competitive international markets motivates exporting firms to enhance their technological competitiveness and invest in research and development (R&D). While in-house R&D investment is important for getting advanced technologies, the technologies needed by exporters located in emerging economies (EEs) typically readily exist overseas. Drawing on organizational learning literature, we argue that the R&D intensity stimulated by exporting may be reduced when 1) EE exporters are better prepared and motivated to absorb foreign knowledge, 2) foreign sources of knowledge are more available, and/or 3) local technology supply is poor. An analysis on 5592 automobile parts and component manufacturers in China during 2005–2007 supports these arguments. To compete in markets abroad, Chinese firms' R&D intensity increases with export intensity when their export intensity is low. As the export intensity exceeds a certain threshold, their R&D intensity starts to decrease as intensive exporters are better prepared and motivated to acquire knowledge from foreign sources. When substitutive foreign knowledge sources such as foreign parents and FDI spillovers in the local industry is available, firms' R&D intensity stimulated by exporting can be further reduced. Better local technology supply can increase the R&D intensity stimulated by exporting.     

Managing Knowledge Creation in High‐Tech R&D Projects: A Multimethod Study

R&D projects in high‐tech organizations bring together diverse knowledge domains to quickly develop new products and processes. The fast‐paced context of high‐tech organizations makes it challenging to create new knowledge and solve complex problems. Managing these R&D projects requires understanding both the mechanisms and the type of knowledge created to achieve project objectives. This research conducts a two‐phased multimethod study to understand knowledge creation in high‐tech R&D projects. The first phase uses qualitative data to develop a theory on knowledge creation in R&D projects. The second phase involves a survey that collects data from R&D projects to test the theory. Results from the case study find that R&D projects benefit from two types of knowledge – objective and intuitive. The case analyses show that intuitive and objective knowledge creation in high‐tech organizations occurs by creating not only diverse but also psychological safe project teams. The large‐scale survey finds that team diversity positively influences objective knowledge creation while psychological safety affects intuitive knowledge creation. Surprisingly, the results show that team diversity negatively affects intuitive knowledge creation. A post hoc analysis takes a more granular look at diversity and shows that different kinds of diversity have different effects on knowledge creation. This helps to better explain how to manage innovation across boundaries. Finally, the analysis shows that both objective and intuitive knowledge influence R&D project performance. Taken together, these results help explain how to manage innovation across functional boundaries to create knowledge and enhance R&D project performance.      

Local and Global Knowledge Complementarity: R&D Collaborations and Innovation of Foreign and Domestic Firms

We analyze how research and development (R&D) collaborations affect product innovation for subsidiaries of foreign multinational firms and domestic firms. We build on the knowledge-based view to propose that subsidiaries and domestic firms differ in their ability to benefit from alternative R&D partners as a result of the variation in their knowledge complementarities. Specifically, we propose that subsidiaries may benefit more from undertaking R&D collaborations with customers and competitors, whose deeper knowledge of local conditions better complements the more global knowledge base of subsidiaries. In contrast, we argue that domestic firms may benefit more from engaging in R&D collaborations with suppliers and universities, whose more global nature of knowledge better complement the deeper local knowledge base of domestic firms.     

Genetic distance,international experience and the performance of cross-border R&D for EMNEs

Cross-border R&D can contribute to the enhancement of independent innovation capabilities of emerging markets multinational enterprises (EMNEs) by benefiting from knowledge management. However, scant research exists examining the location impact of cross-border R&D for EMNEs on performance implications. This paper fills this important theoretical gap by building upon the literature of genetic distance in connection with knowledge management. We use a panel data of Chinese high-tech listed companies to empirically examine the impact of genetic distance on the performance of cross-border R&D and the role played by international experience. Our results reveal a positive relationship between genetic distance and the performance of cross-border R&D. Importantly, we highlight the motivation for cross-border R&D of EMNEs to acquire technical knowledge magnifies the positive effects of genetic distance and performance. Furthermore, our analysis indicates that international experience significantly enhanced the positive effect of genetic distance on cross-border R&D performance. We conclude this paper by discussing theoretical contributions to genetic distance, international management and knowledge management, as well as practical implications for cross-border R&D of EMNEs.     

Globalisation and trends in international R&D alliances

The growth of collaborative activity is greatly influenced by the process of globalisation. This paper focuses on the narrow area of collaborative R&D activity, and takes a ‘macro,’ as well as a firm perspective of the effects of these developments. Globalisation has affected the need of firms to collaborate, in that firms now seek opportunities to cooperate, rather than identify situations where they can achieve majority control. The use of collaboration is particularly acute in capital- and knowledge-intensive sectors. These are also the sectors where firms have expanded internationally fastest, as they need to compete in various markets simultaneously, but also to exploit and acquire assets and technology that may be specific to particular locations. The increasing similarity of technologies across countries and cross-fertilisation of technology between sectors, coupled with the increasing costs and risks associated with innovation has led firms to consider R&D alliances as a first-best option in many instances.     

Collaboration experience in the supply chain of knowledge and patent development

Abstract

In this paper, we aim at understanding the role of collaboration experience in supply chains of knowledge (SCoK). The SCoK of a company is its supply chain not related to the flow of physical goods but to the flow of R&D commodities. R&D commodities are for example patents, technologies, research services, studies, and projects, and, in high-tech industries, their development and commercialisation are considered as important as real products. To accomplish our aim in this paper, we fulfil the following research objectives: (1) investigate the relationship between the collaboration experience in SCoK and the propensity of the firm to develop new patents; (2) examine how the structural embeddedness of the firm within its SCoK mediates this relationship. We ground our conceptual model on the supply chain, open innovation and social capital literatures and empirically test our hypotheses on a cross-sectional data-set of 208 biotech companies that have signed 612 SCoK agreements in the years 2006–2010. The key findings of this study are: first, accumulating experience in SCoK collaborations facilitates the development of new patents; second, being central and bridging structural holes within the SCoK are two means by which the experience in SCoK collaborations is translated into new patents.     

R&D,productivity, and market value: An empirical study from high-technology firms

Although prior research has addressed the influence of production activity and research and development (R&D) on productivity, it is not clear whether production and R&D affect the market value of a firm. This study proposes and verifies an R&D value chain framework to explore the relationship among productivity, R&D, and firm market values, as measured by Tobin's q theory. By doing so, we attempt to link new theoretical insights and empirical evidence on the effects of R&D efforts and basic production activities to the market valuations of high-technology firms. The value chain data envelopment analysis approach was proposed to estimate parallel-serial processes of basic operations and R&D efforts. This approach can be used to simultaneously estimate the profitability efficiency and marketability efficiency of high-technology firms. This area has rarely been studied, but it is particularly important for high-technology R&D policies and for further industrial development. Using the R&D value chain perspectives of model innovations and extensions proposed in several previous studies, we examined the appropriate levels of intermediate outputs. Production efficiency and R&D were combined to estimate the appropriate levels of intermediate outputs for high-technology firms. Based on the intermediate output analyses, we developed an R&D efforts decision matrix to explore and identify operational and R&D efficiency for high-technology firms. Our sample firms are displayed on a four-quadrant action grid that provides visual information on current short-term operational efficiency and decision making on long-term R&D strategic positions. The empirical findings from the R&D value chain model can provide information for policymakers and managers and suggest the adoption of various policies that place more emphasis on profitability and marketability strategies.     

How can MNEs benefit from internationalizing their R&D across countries with both weak and strong IPR protection?

Although MNEs internationalize their R&D not only in developed countries but also in emerging economies that typically feature weak protection of intellectual property rights (IPR), it remains unclear how this strategic decision affects their productivity performance. This limitation has resulted in a rather incomplete understanding of why some MNEs become more productive through R&D internationalization while others do not. This study develops a new explanation, suggesting that R&D internationalization does not affect the productivity of all MNEs equally because of differences in the idiosyncratic way in which MNEs geographically distribute their R&D units across weak and strong IPR protection countries. In advancing this explanation, the study challenges the view that weak IPR protection is disadvantageous for MNEs by showing that (and specifying how) it: 1) increases the efficacy of MNEs' internal R&D, 2) strengthens the advantages of accessing globally dispersed knowledge, and (3) improves MNEs' ability to exploit cross-country differences in IPR protection. The study enhances understanding of the complex role of IPR protection, shifts scholarly attention from the degree of R&D internationalization to how MNEs should internationalize their R&D, and clarifies how the IPR context of their location choices matters.     

The Distinctive Patterns of Dynamic Learning and Inter‐firm Differences in the Indian Pharmaceutical Industry

Technological or institutional change has proven to be a major cause of the failure of established firms, and history is full of examples. In a globalized world the capability of a firm to reconfigure existing competencies and create new knowledge for innovation has emerged as a dynamic capability to succeed. I examine the learning processes involved in the development of innovative R&D capabilities in Indian pharmaceutical firms as a response to the strengthening of patent law. The strong patent law represented a major institutional change for Indian firms which had grown in a weak patent era. The analysis shows that the development of new capabilities involved the removal of rigidities and the acquisition of new knowledge, and reveals that Indian firms are adopting strategies such as hiring of Indian scientists educated or working overseas in pharmaceutical R&D and collaborative R&D to acquire innovative R&D capabilities. It further points out the inter–intra firm heterogeneity in learning processes and suggests that the move from basic to advance level capabilities is neither linear nor automatic. It requires a deliberate effort and investment by firms in different mechanisms of learning. The Indian pharmaceutical firms' responses provide important insights for firms from other developing countries.     

Disentangling reciprocal relationships between R&D intensity,profitability and capital market performance: A panel VAR analysis

Research and development (R&D) investments are strategic choices that firms make to create and sustain competitive advantage. Extant literature proposes that firms’ R&D investments and their profitability and capital market performance are reciprocally related. However, the direction of these relationships and their temporal nature are unclear. We take a real options perspective to argue that the long-run firm performance effects of R&D investments are better than their short-term ones, and that the initial level of R&D intensity influences the nature of these relationships. We apply panel vector autoregression (P-VAR) to a sample of 6623 U.S. firms over the 1990–2020 period in order to test our hypotheses. Our results indicate that increases in R&D intensity have negative effects on profitability in the short term, yet these effects diminish relatively quickly. The effects of increases in R&D intensity on capital market performance are positive and persist over time. Consistent with our predictions, they are contingent on the initial levels of R&D intensity and performance. The findings are fundamentally in line with the real options perspective employed here, yet they add important nuance to our understanding of when, how, and under which conditions R&D investments and firm performance affect one another.     

Biopharmaceutical and chemical firms’ R&D disclosure,and cost of equity: The impact of the regulatory regime

Based on the proprietary costs theory, this paper aims to survey whether the regulatory regime (mandatory versus voluntary) of research and development (R&D) narrative disclosures impacts, by the means of a reduced information asymmetry, on the cost of equity capital. In order to construct a disclosure index to investigate the extent and the comprehensiveness of R&D information, the methodology adopted was the content analysis of 77 biopharmaceutical and chemical listed companies’ management reports from eight Western European countries across the period 2005–2009. Hence, we obtained an (unbalanced) panel data of 309 observations. The cost of capital has subsequently been regressed on the disclosure index. Results confirm a larger amount of R&D disclosures whereas information is more regulated, but they do not confirm an inverse relation with the cost of capital.     

Managing Internal R&D Networks in Global Firms: What Sort of Knowledge is Involved?

How should a global firm manage its network of R&D centres in an effective manner? Some have developed an Integrated Network model in which the R&D centres around the world are tightly integrated into a coherent whole. Others have adopted a Loosely-Coupled Network model in which individual “centres of excellence” are given considerable autonomy. In this paper we argue that the way individual R&D units are structured, and the way the entire network is managed, should be based not on administrative heritage, environmental turbulence or management style, but on the basis of the underlying characteristics of the firm’s knowledge assets. In particular we focus on the observability and mobility of the firm’s knowledge assets, the impact these factors have on the way individual R&D centres are structured, and how they relate to one another in the international network. The argument is supported using examples and data from Swedish firms including ABB, Alfa Laval and Ericsson.     

How does the combination of R&D and types of knowledge matter for patent propensity?

This paper examines whether the combined effects of R&D efforts and the types of knowledge obtained from the invention process determine patent propensity. With this aim, we investigate a unique, manually collected sample of firms and the Spanish and European Patent Offices to analyze how the combination of R&D and knowledge codifiability, observability and simplicity influence the patent decision. Our results contribute to the literature and assist R&D managers by showing that codified knowledge has a positive impact on patent propensity. Furthermore, we find that knowledge observability and simplicity only influence patent propensity when they are combined with internal R&D expenditures.     

The dual effect of board gender diversity on R&D investments

We examine how gender diversity on boards of directors affects investment in research and development (R&D), thereby providing the platform for future ambidexterity of the organization. Using quantitative data from 44 countries, that are exemplified by qualitative data, our findings show that gender diverse boards result in more complex organizational outcomes in regard to R&D investment than assumed originally. Our findings show that gender diverse boards encourage ambidexterity. On the one hand, increased gender diversity has a negative direct effect on R&D. However by positively affecting equity based remuneration, these diversified boards actually encourage indirectly higher R&D investments that are better correlated with the organization goals. Gender diversity on boards, therefore, encourages organizational behavior that increases the chances for higher ambidexterity over time by encouraging exploitative behavior as well as explorative behavior.     

Technology development control styles in multinational corporations: a case study

Multinational firms tend to geographically disperse their R&D activities to a larger extent than in the past. International R&D seems to play an increasingly important role within the global process of technological innovation taking place in multinational corporations. As a consequence, firms are challenged to design global R&D organisations and manage foreign units playing a central role in their innovation process. A key managerial aspect is the balance between autonomy and control of foreign R&D units. This case study deals with management control styles over foreign R&D units. It is based on the results of an empirical analysis of 16 multinational firms operating in technology-intensive industries. It proposes a taxonomy of management control styles in foreign R&D and gives the cue for further research in the area of technology development control.     

What effect does the aggregate industrial R&D offshoring have on you? A multilevel study

The present study argues that R&D offshoring is not only a matter of firm's decision as in previous literature, but also has an important industrial externality component. For a sample of manufacturing and services industries in the period 2005–15, I study the externalities coming from R&D offshorers in a given industry and the heterogeneous effects of enterprises' internal knowledge base characteristics. The evidence points to offshoring externality (OE) presenting an inverted U-shape with respect to the firms' innovative processes. However, firms with higher levels of human capital and/or internal R&D investments obtain higher returns coming from the OE. Overall, it seems that a strategy (R&D offshoring) that is highly beneficial for enterprises individually, might be also optimal for the Spanish economy.