Life Science Innovation and the Restructuring of the Pharmaceutical Industry: Merger, Acquisition and Strategic Alliance Behaviour of Large Firms

This article explores the transformative nature of the life sciences in the context of pharmaceutical mergers, acquisitions and strategic alliances. Drawing on interviews with senior scientists and managers from large pharmaceutical firms, and secondary data on general industry trends, it identifies diverse company strategies for capturing and exploiting new technologies/knowledge and explores their implications for innovation. The article suggests that mergers, acquisitions and strategic alliances represent a cluster of related activities that provide various strategic options for managing innovation and productivity deficit. However, because the preferred balance between in-house R&D and externally sourced knowledge depends on a number of firm-specific factors, as well as challenges posed by the external operating environment, there is increasing variation between large companies in how these activities are exploited and strategically managed.     

Multinational enterprises and innovation: firm level evidence on spillover via R&D collaboration

This paper estimates the knowledge spillovers to multinational enterprises (MNEs) in Sweden via domestic and foreign R&;D collaboration. Applying an augmented generalized method of moments-estimator that accounts for selectivity and simultaneity bias on data from 1,249 MNEs, our research has resulted in five distinct conclusions. First, we find that the knowledge spillovers via R&;D collaboration typically take place as a network phenomenon rather than a process between the local firm and a single innovation partner. Second, successful collaboration is conditional on the presence of foreign innovation partners in the network. Third, output is found to be an increasing function of R&;D-collaboration only among non-export oriented firms. Fourth, foreign MNEs, selling mainly to local and regional markets in Sweden, benefit more from R&;D collaboration than do other firms. Overall, the results show that demand-driven motives that require entrepreneurial knowledge to adapt products to local consumers and markets are more important for successful R&;D-collaboration than supply-driven motives.     

Learning in strategic technology alliances

In this paper we examine the influence of strategic technology alliances on organisational learning. From an empirical perspective we examine the pre- and post-alliance knowledge bases of allying firms. We find that the pre-alliance knowledge base overlap of the allying firms has an inverted U-shaped relationship with the degree of learning taking place in the alliance. Alliances established for the purpose of learning also show a significantly greater increase in knowledge base overlap for the allying firms than for non-learning alliance or non-allying firms. This shows the particular importance of learning alliances as a vehicle for organisational learning and competence development. Contrary to what we expected we found that weak ties are more important than strong ties in organisational learning within strategic alliances.     

Learning in strategic technology alliances

In this paper we examine the influence of strategic technology alliances on organisational learning. From an empirical perspective we examine the pre- and post-alliance knowledge bases of allying firms. We find that the pre-alliance knowledge base overlap of the allying firms has an inverted U-shaped relationship with the degree of learning taking place in the alliance. Alliances established for the purpose of learning also show a significantly greater increase in knowledge base overlap for the allying firms than for non-learning alliance or non-allying firms. This shows the particular importance of learning alliances as a vehicle for organisational learning and competence development. Contrary to what we expected we found that weak ties are more important than strong ties in organisational learning within strategic alliances.     

How technology policy facilitates technology diffusion and improves firm capability: a dynamic survey from a network perspective

Strategic alliances have been regarded as a potent tool of technology policy for the advancement of research and development (R&D) in developing countries. However, the effectiveness of this ‘visible hand’ has not been dynamically understood as a useful means of building up firm capability. To see how strategic alliances help small-sized firms improve their competitive advantage, this research investigates a government-supported strategic alliance for technology development. Using a two-stage model from the network perspective and methodology, the results show that via a government-sponsored strategic alliance, the network factors embedded in the alliance significantly help the firm develop a competitive advantage by facilitating technology diffusion among alliance members and improved firm-level technology capability. Thus, technology policy in the form of strategic alliances appears to serve as a ‘visible hand’ that homogenously upgrades firm technology capability and diffuses technology.     

Reviving and assessing the Kuznets law on innovation

We apply a panel vector autoregression model to a firm-level longitudinal database to observe the co-evolution of sales growth, employment growth, profits growth and the growth of research and development (R&;D) expenditure. Contrary to expectations, profit growth seems to have little detectable association with subsequent R&;D investment. Instead, firms appear to increase their total R&;D expenditure following growth in sales and employment. In a sense, firms behave ‘as if’ they aim for a roughly constant ratio of R&;D to employment (or sales). We observe heterogeneous effects for growing or shrinking firms, however, suggesting that firms are less willing to reduce their R&;D levels following a negative growth shock than they are willing to increase R&;D after a positive shock.     

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.     

Quantifying knowledge exchange in R&D networks: a data-driven model

We propose a model that reflects two important processes in R&D activities of firms, the formation of R&D alliances and the exchange of knowledge as a result of these collaborations. In a data-driven approach, we analyze two large-scale data sets, extracting unique information about 7500 R&D alliances and 5200 patent portfolios of firms. These data are used to calibrate the model parameters for network formation and knowledge exchange. We obtain probabilities for incumbent and newcomer firms to link to other incumbents or newcomers able to reproduce the topology of the empirical R&D network. The position of firms in a knowledge space is obtained from their patents using two different classification schemes, IPC in eight dimensions and ISI-OST-INPI in 35 dimensions. Our dynamics of knowledge exchange assumes that collaborating firms approach each other in knowledge space at a rate μ for an alliance duration τ. Both parameters are obtained in two different ways, by comparing knowledge distances from simulations and empirics and by analyzing the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). This is a new measure that takes in account the effort of firms to maintain concurrent alliances, and is evaluated via extensive computer simulations. We find that R&D alliances have a duration of around two years and that the subsequent knowledge exchange occurs at a very low rate. Hence, a firm’s position in the knowledge space is rather a determinant than a consequence of its R&D alliances. From our data-driven approach we also find model configurations that can be both realistic and optimized with respect to the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). Effective policies, as suggested by our model, would incentivize shorter R&D alliances and higher knowledge exchange rates.     

Origins of knowledge and innovation in R&D alliances: a contingency approach

Innovative performance is influenced both by the origins of the existing knowledge that is combined to generate innovation and by how economic actors search for new knowledge. Drawing on a sample of inter-firm dyadic R&D alliances, we found that whereas the integration of geographically distant knowledge and of organisationally proximate knowledge in R&D alliances are negatively related to the alliance innovative performance, search span positively moderates both relationships. We conclude that, in order to make the most of broad-span searching, firms participating in R&D alliances should integrate geographically distant but organisationally proximate knowledge. By doing so, firms take advantage of the diversity and novelty that characterises geographically distant knowledge, while preserving considerable levels of relative absorptive capacity that are needed for them to understand, internalise, and effectively use partners’ knowledge from different domains.     

External knowledge sourcing for R&D activities: antecedents and implications of governance mode choice

This paper investigates how internal and external factors affect the choice between alliances and joint ventures (A&;JVs) and mergers and acquisitions (M&;As) for the external sourcing of research and development (R&;D) activities, and whether or not such a choice is really contingent, that is, is it the best choice in terms of its impact on firms' innovative performance under those circumstances? We build a set of hypotheses based on both the transaction-cost theory and the resource-based view, and test them through a secondary data source analysis. We found that companies adopt either R&;D M&;A or A&;JV depending on internal (e.g. resources and capabilities, innovation experience) and external (e.g. degree of industry specialisation) factors. Surprisingly, this contingent choice turns to be effective on innovative performance only for the internal factors, rather than the external. This paper contributes to inter-firm relationships literature by presenting the real advantages of using integrated and contingency theoretical models to understand contingent decisions.     

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.     

Protecting Strategic Knowledge: Insights from Collaborative Agreements in the Aerospace Sector

This paper explores the dilemma that firms face with respect to knowledge sharing in strategic alliances. On the one hand, alliance success is associated with high levels of interaction and co-operation between partners. On the other hand, full and open co-operation exposes a firm's distinctive knowledge and skills and makes it vulnerable to opportunistic moves by alliance partners. Hence firms experience a fundamental paradox: to gain the greatest benefits they must exchange information and knowledge with external parties yet, at the same time, they must protect themselves against knowledge appropriation. This dilemma is particularly acute in the aerospace sector where political imperatives strongly influence partner choice and collaborators are often strong rivals in other contexts. In this paper we use data drawn from four collaborative agreements in the aerospace sector to explore the ways in which a focal firm has sought to protect its strategic knowledge and manage knowledge flows in alliance relationships. We find that existing theoretical lenses provide valuable but partial insights into the question of knowledge appropriation in alliances and offer limited guidance to managers charged with making alliances work. We suggest that some rich insights can be gained by focusing on the overlaps and interstices between existing theories and that greater exploration of the everyday working practices in alliances may offer a useful starting point for improved theorising.     

Strategic technology alliances and networks

This paper briefly reviews the literature on strategic technology alliances (STAs) and networks, allocating the contributions to ‘micro’ (firm) and ‘meso’ perspectives (the network). The focus is on a logical reconstruction of important themes in the literature pertaining to the role of STAs in boosting innovation and in promoting the survival and growth of partners and their environments. Overall, the literature points to a quite important role of alliances and networks especially in knowledge-intensive industrial activities combining the production and utilization of technological knowledge for competitiveness and growth. Not unexpectedly, important differences are pointed out in terms of incentives and benefits from alliances across different types of firms and industries. Network structure evolves in accordance with the nature of the industry and with the type of technological advancement sought by participating organizations.     

Core competencies,matching and the structure of foreign direct investment

We develop a matching model of foreign direct investment to study how multinational firms choose between greenfield investment, acquisitions and joint ownership. Firms must invest in a continuum of tasks to bring a product to market. Each firm possesses a core competency in the task space, but the firms are otherwise identical. For acquisitions and joint ownership, a multinational enterprise (MNE) must match with a local partner that may provide complementary expertise within the task space. However, under joint ownership, investment in tasks is shared by multiple owners and, hence, is subject to a holdup problem that varies with contract intensity. In equilibrium, ex ante identical multinationals enter the local matching market, and, ex post, three different types of heterogeneous firms arise. Specifically, the worst matches are forgone and the MNEs invest greenfield; the middle matches operate under joint ownership; and the best matches integrate via full acquisition. We link the firm‐level model to cross‐country and industry predictions and find that a greater share of full acquisitions occur between more proximate markets, in hosts with greater revenue potential and within contract‐intensive industries. Using data on partial and full acquisitions across industries and countries, we find robust support for these predictions.     

An Assignment Theory of Foreign Direct Investment

We develop an assignment theory to analyse the volume and composition of foreign direct investment (FDI). Firms conduct FDI by either engaging in greenfield investment or in cross-border acquisitions. Cross-border acquisitions involve firms trading heterogeneous corporate assets to exploit complementarities, while greenfield FDI involves setting up a new production division in the foreign country. In equilibrium, greenfield FDI and cross-border acquisitions coexist within the same industry, but the composition of FDI between these modes varies with firm and country characteristics. Firms engaging in greenfield investment are systematically more efficient than those engaging in cross-border acquisitions. Furthermore, most FDI takes the form of cross-border acquisitions when production-cost differences between countries are small, while greenfield investment plays a more important role for FDI from high-cost into low-cost countries. These results capture important features of the data.     

Technological Change, Market Rivalry, and the Evolution of the Capitalist Engine of Growth

In the early stages of Western industrialization, innovation was the domain of individuals who devoted their entrepreneurial talents to the development of a new product or process, typically setting up a new firm in order to take the innovation to the market. Today, commercial R&;D is almost exclusively carried out by corporate laboratories affiliated with manufacturing firms. The corporate R&;D lab, however, did not exist in its modern form until the late nineteenth century. The history of Western industrialization, thus, suggests that a fundamental change in the structure of incentives, and consequently in the nature and the organization of the R&;D process, occurred around the turn of the century. Three questions arise. What is the nature of this change? What economic forces caused it? What are its implications? To answer these questions, I construct a model where this change is endogenous to the evolution of the economy toward industrial maturity. The change in the locus of innovation—from R&;D undertaken by intventor-entrepreneurs, to R&;D undertaken within established firms in close proximity to the production line—results from the interaction of market structure and technological change. This interaction captures the essence of the evolution of the capitalist engine of growth and provides an economic explanation of a “stylized fact” that has received no attention in the theoretical literature. The endogenous market structure generates dynamic feedbacks that shape the growth path of the economy and determine the structural change it undergoes, including the endogenous formation of corporate R&;D labs. The evolution of market rivalry explains when and how established firms become the major locus of R&;D activity.     

The strategic alliance of the biotechnology firm

This article applies the relevant theories of firm organization and inter-firm relationships in the high-tech environment to explain the institutional reasons that firms choose between internal or external approaches. Particularly, this study tries to understand to what extent and in what way strategic alliances have impacts on individual firms’ organizational structure, financial structure and firms’ activities. Also it tries to find out what type of firms tend to benefit most from alliances, and thus use more inter-firm agreements. The theoretical findings are that due to liquidity constraint and asymmetric information reasons, young, research-intensive firms need to use more alliances to survive in the fast changing high-technology industry. The empirical analysis employs 3 year panel data and finds that the results are consistent with the theoretical predictions.     

Domestic R&D,Foreign Direct Investment and Welfare

This paper provides a new rationale to examine the two‐way relationship between domestic research and development (R&D) and foreign direct investment (FDI), as well as their impacts on domestic welfare. Our analysis is based on the strategic interaction in cost‐reducing investment decisions between domestic firms and a foreign firm, which is different from the common factors that are discussed in the literature such as spillovers and technology sourcing. Our results are as follows. We show that domestic R&D investment may either increase or decrease the foreign firm's FDI incentives. Further, depending on the marginal cost of domestic firms, domestic R&D incentives can always increase regardless of the effects of domestic R&D investment on the foreign firm's FDI decision. Finally, we find that domestic welfare improves under domestic cost reduction if the slope of the marginal cost of domestic R&D investment is sufficiently small.     

Firm growth and R&D: Evidence from the Portuguese manufacturing industry

This work studies the effects of R&D activities and investment, both physical and R&D, on the growth of firms by considering a dynamic firm growth model with serial correlation. The main hypotheses maintain that firms with a strong commitment to R&D have a higher growth rate, and investment has a positive effect on firm growth. We investigate such relations with reference to an unbalanced panel data set of Portuguese manufacturing firms over the period of 1990 to 2001. We find that a systematic tendency for smaller firms to grow more quickly is the main reason why firm growth is not entirely stochastic.     

Wage‐Setting Institutions and R&D Collaboration Networks

We analyse how union structures that differ in the degree of wage‐setting centralisation affect the pattern of R&D network formation. Within the context of a three‐firm industry, a central union that sets a uniform wage is shown to induce a partial R&D network that includes two firms but excludes the third. In contrast, we find that, under less centralised union structures, firms have incentives to form R&D networks with a larger number of alliances. This result is consistent with the stylised facts for industrialised countries: recent decades have seen an upsurge in R&D alliances along with labour market deregulation towards more flexible wage‐setting institutions.