Choosing Between Internal and Non-internal R&D Activities: Some Technological and Economic Factors

This paper evaluates some of the technological and economic factors that underlie the choice between in-house R&D, R&D alliances and outsourcing. We recount the reasons for the growth in non-internal activities, and explain why these are not as prevalent for R&D as other value-adding activities, and highlight that outsourcing is most often undertaken where multiple, substitutable sources are available. We then develop two frameworks. First, a static framework is developed, which evaluates the choice of mode based on a firm's distribution of competencies, and their strategic importance. Second, a dynamic framework is developed that demonstrates how the static framework differs depending on whether the firm is engaged in pre-paradigmatic, paradigmatic or post-paradigmatic sectors. We also consider the effect of new technologies being introduced to a firm's portfolio of competencies     

Open innovation and intellectual property strategy: the catch-up processes of two Chinese pharmaceutical firms

We explore the interaction of open innovation and intellectual property (IP) in two Chinese latecomer pharmaceutical firms in their catch-up process. Studying archival data, documentation, and interviews, we found that the two firms exhibited five periods that were characterised by different open innovation activities and R&D capabilities. In their early stages, the two firms lacked R&D functions; thus, they imported technologies and pursued production-oriented strategies. As they gradually entered into collaborations and established their R&D departments, open innovation and IP protection played important and dynamic roles in this process. Thus, a catch-up process involves not only acquiring technological capabilities and innovative competencies but also transforming a firm's capacity to strategies.     

Dynamic R&D choice and the impact of the firm's financial strength

ABSTRACT

This article investigates how a firm's financial strength affects its dynamic decision to invest in R&D. We estimate a dynamic model of R&D choice using data for German firms in high-tech manufacturing industries. The model incorporates a measure of the firm's financial strength, derived from its credit rating, which is shown to lead to substantial differences in estimates of the costs and expected long-run benefits from R&D investment. Financially strong firms have a higher probability of generating innovations from their R&D investment, and the innovations have a larger impact on productivity and profits. Averaging across all firms, the long-run benefit of investing in R&D equals 6.6% of firm value. It ranges from 11.6% for firms in a strong financial position to 2.3% for firms in a weaker financial position.     

The effect of outward investment to China on domestic R&D: a two-hurdle model with endogenous ODI

Outward direct investment (ODI) and domestic R&D are interrelated, but empirical evidence is affected by the nature of a firm's data, which are heavily censored. Firm data contain a firm's yes/no decision to invest in China, yes/no decision of R&D, and the decision of R&D intensity. We thus adopt a two-hurdle model and allow the China investment decision to be endogenous in an R&D model in order to examine the effect of ODI in China on domestic R&D investment in Taiwan's electronics industry. In the model, a two-equation simultaneous subsystem is formed, in which three regression equations are specified: a decision of R&D intensity, and a yes/no decision of location to conduct R&D together with a yes/no decision to invest in China Our results indicate that China investment and R&D intensity are positively related such that ODI in China helps to raise significantly a firm's R&D intensity as compared to the estimate if the endogeneity of China investment and the nature of data were not properly accounted.     

Firm's objective function and product and process R&D

Firms undertake different kinds of R&D activities. They do product R&D (R&D aimed at improving the quality of existing products, and creating new products). They also do process R&D (R&D aimed at lowering the cost of making existing and new products). Moreover, firms often do both product and process R&D simultaneously. As far as the objective of firms is concerned, this need not be limited to profit-maximization only. Rather, firms may have a broader objective, where they care about profits as well as consumer surplus. This paper studies effects of a firm having a general objective function (that takes into consideration both profits and consumer surplus) on its product and process R&D choices, and corresponding implications.I consider product and process R&D choices of firms in an infinite horizon set-up with discrete time. Firms in my framework can simultaneously do both product and process R&D in every period, face a discrete-choice model of consumer demand with vertical product differentiation, and maximize a discounted, weighted sum of their profits and consumer surplus over the infinite time horizon.I show how process and product R&D differ from each other in my framework, and the role of a firm's objective function in this regard. I compare process and product R&D choices across firms that differ in their objective function, and illustrate effects of providing general R&D subsidies (subsidies given for any R&D, regardless of whether it is product or process R&D) to firms. I also characterize how in my framework, the choice of process R&D in total R&D — R&D composition — by an individual firm varies over time, and how process and product R&D choices, process and product R&D productivity, and the choice of R&D composition vary across firms that differ in size but are otherwise similar.     

Business type,industry value chain,and R&D performance: Evidence from high-tech firms in an emerging market

This study focuses on how the business type and technological learning mode, which a high-tech firm chooses based on its core competence, influence the firm's R&D strategies, which in turn affect firm performance. This study also explores how the interaction between a firm's business type and industry value chain stage affects the relationship between R&D investments and operating performance. We suggest that the linkage of R&D investments and operating performance will increase gradually, when firms move from contract manufacturing to own brand business. R&D investments can contribute more to performance when firms adopt the hybrid business type. Furthermore, R&D investments generate more significant benefits for the own brand companies than the contract manufacturers at the same stage of the industry value chain. R&D investments of the downstream contract manufacturers have a negative impact on firm performance. Regardless of business type, firms in the upstream (midstream) stage of the industry value chain outperform downstream stage firms in deriving benefits from R&D activities. Finally, the lagged effects of R&D investments on operating performance are affected by the interaction between business type and industry value chain.     

Internal R&D effort,external imported technology and economic value added: empirical study of Taiwan's electronic industry

Technology innovation is a significant resource in the contemporary knowledge-based economy. The main sources of technology innovation are internal R&D effort and external imported technology. Two primary traditional production factors are physical capital and labour. The theoretical basis for this study is an evolutionary Cobb–Douglas production function explaining the effects of four resources (internal R&D effort, imported technology, physical capital and labour) on a firm's sales and economic value added (EVA). Time-series cross-section panel data from 219 Taiwan electronic manufacturers between 1990 and 2003 were employed for fixed effect model. Major empirical findings were observed in this study: first, Internal R&D effort can positively affect a firm's sales and EVA. Conversely, imported technology is found to have had no significant effect on sales and EVA. Second, although both physical capital and labour affect a firm's sales more than the effects of internal R&D and external imported technology, internal R&D effort contributes to a firm's EVA beyond the effects of imported technology, physical capital and labour. Third, External imported technology has neither a complementary nor a substitutive relationship with internal R&D effort.     

Beyond R&D activities: the determinants of firms’ absorptive capacity explaining the access to scientific institutes in low–medium-tech contexts

A firm's search strategy is to use innovation inputs from external sources such as suppliers, clients, competitors, universities and research transfer offices (RTOs) to complement their in-house knowledge. Thus, a firm needs to be capable of identifying and valuing the potential value of certain external knowledge, i.e. absorptive capacity. Most of the studies regarding search patterns are reduced mostly to medium–high- and high-tech industries in which only the level of investment in R&D activities as determinant of a firm's search strategy is considered. In addition, when the flows of external knowledge arise from firm–university interactions, the evidence is still inconclusive, specifically for SMEs and low–medium-tech environments. Therefore, the objective of this paper is to explore the pattern of a firm's search strategy through its absorptive capacity to acquire external flows of knowledge from universities and RTOs. The paper draws especially on the role of non-R&D innovation activities in low–medium-tech sectors. Seven hundred and forty three innovative firms from the Spanish Ministry of Industry are analysed. Results suggest that human resources and other non-R&D activities are the core drivers explaining the cooperation agreements to access external knowledge from universities and RTOs. Surprisingly, R&D expenditures do not contribute to the explanation. This paper presents important implications for policy-makers beyond the classic R&D policies.     

Effect of piracy on innovation in the presence of network externalities

This paper analyzes the impact of simultaneous increases in piracy (piracy effect) and network externalities (network effect) on R&D investment. A single firm's R&D investment increases (or decreases) if the network effect (or piracy effect) is dominant. With R&D competition, if the firms “significantly” differ with respect to their R&D efficiencies and if the piracy effect dominates the network effect then the less efficient firm's R&D investment increases and that of the more efficient firm's decreases. In this case, the overall probability of successful innovation increases. The reverse holds if the network effect dominates the piracy effect. If the firms are “less” asymmetric then their R&D investment either increases or decreases depending on the relative strengths of the piracy and network effects.     

Infra-industry spillovers and R&D cooperation: Theory and evidence

We analyse both the theoretical and the empirical side of the issue of R&D spillovers. Each firm's R&D costs are increasing in the amount of information transmitted to other firms, and we account for the possibility that firms control spillovers. We consider both Cournot-Nash and Cournot-Stackelberg behavior. The empirical analysis suggests that (i) firms' control on spillovers is relatively low; (ii) the cost-saving effect associated to joint ventures or R&D cartels is confirmed for industries where firms rely mainly upon own R&D as a source of innovation; (iii) R&D cooperation may increase information sharing, thereby enhancing spillovers.     

Firm size and types of innovation

We propose a general theory of innovation that illustrates the relative benefits of performing process versus product R&D when firm size is endogenous. A firm's size, scope, and R&D portfolio are shown to reflect the same underlying characteristic of the firm, namely manufacturing efficiency. We demonstrate that efficient firms become larger, have greater scope, and perform more of both process and product R&D. In light of decreasing returns to R&D, this implies small firms obtain more product innovations per dollar of R&D than large firms, which is consistent with evidence we present that small firms are more innovative than large firms as they obtain more patent counts and citations per dollar of R&D.     

Asset Specificity,R&D Financing,And The Signalling Properties of The Firm's Financial Structure

Equity financing is the optimal strategy for innovating firms, which can use their financial structure as a signalling device to attract outside investors. This situation is likely to arise when the firm undertakes a specific purpose R&D project aimed at developing a certain product innovation. Typically, innovations of this kind draw on the firm's cumulative. idiosyncratic knowledge base and, accordingly, the innovation process involves an high degree of asset specificity. Under such circumstances, the terms of debt financing will be adjusted adversely, and equity financing will represent the most economically efficient solution.

These arguments are developed in standard static principal-agent models dealing with New Technology Based Firms and publicly held large firms undertaking an aggressive R&D strategy. In the case of NTBFs, two kinds of optimal venture capital contracts are considered, which render the sharing rules independent (a) of the agent's action and (b) of both the agent's action and the specific assets involved in the transaction. Regarding innovating large firms, it is argued that in this case, too, equity represents the optimal financing strategy, and that top executives use their equity share to signal the firm's expected return stream and value to outside investors.     

The productivity impact of R&D investment: are high-tech sectors still ahead?

Our aim is to investigate the relationship between a firm's R&D expenditures and its productivity, looking at sectoral peculiarities. We use a unique longitudinal database consisting of 1809 US and European manufacturing and service firms over the period 1990–2008. Our main findings can be summarised as follows. Consistently with previous literature, the knowledge stock has a significant positive impact on a firm's productivity. More interestingly, the coefficient turns out to be significantly larger in the R&D-user services and high-tech manufacturing sectors than in the non-high-tech manufacturing sectors. Contrary to the ‘latecomer advantage’ approach, these outcomes suggest that firms in high-tech sectors are still ahead in terms of impact on productivity of R&D investments.     

Dynamics of firm's network community associations and firm's innovation performance

ABSTRACT

R&D network structures have crucial impacts on firm's innovation performance. However, most previous studies have been based on the whole or ego network perspective, few studies have investigated the influence of community structure that a firm is engaged in on its innovation performance, and it is still unclear how a firm's relation to network community affect its innovation performance. This research aims to address this gap by focusing on the dynamics of firm's network community associations, empirically investigate the relationship between dynamics of firm's network community associations and its innovation performance. Based on the unbalanced panel data of smartphone R&D network during year 2004–2017, the results demonstrate that change in community member associations and movement across communities both have inverted-U-shaped effects on firm's innovation performance. Moreover, innovation openness depth has moderating effects on the relationships between dynamics of firm's network community associations and its innovation performance.     

A simple theory and evidence on the determinants of firm R&D

This paper derives a simple, but informative, model of firm R&D to figure out key factors that determine firm R&D effort. The model suggests a demand-pull, technology-push theory of R&D by showing that a firm's profit-maximizing R&D expenditure is determined jointly by both demand-side factors and technology-side factors. The former includes demand size (firm sales) and consumer preference over quality and price and the latter includes R&D cost structure or the production-cost effect of product R&D and firm-specific technological competence. In addition, the model shows that other things being equal, the stock of exogenous technological knowledge, including the firm's previously accumulated technological knowledge, relevant to current R&D which is negatively related with current R&D effort. An empirical analysis of firm R&D intensities and technological capabilities of more than 1600 firms in nine industries across six countries provides supportive evidence for the theory. Further, the theory implies that R&D intensity or the R&D-to-sales ratio is independent of firm size unless firm size affects technological competence and that given consumer preference and R&D cost structure facing all firms in the same industry, the distribution of firm-specific technological competence among firms determines the distribution of firm R&D intensities within the industry.     

Determinants of International R&D Outsourcing: The Role of Trade

This paper investigates the determinants of international R&D outsourcing, in particular the role of trade. We sketch a monopolistic competition model with heterogeneous firms where outsourcing increases a firm's fixed transaction costs as well as its productivity. Financial constraints affect the decision to outsource R&D more to nonexporters than to exporters. In contrast, exporters are more sensitive to a lack of information because they have higher losses when there is technology leakage. We test these predictions using a panel database of Spanish companies. The results highlight the relevance of information in competitive markets, and the role of trade to induce companies to engage in other globalization strategies.     

How do the combined effects of CEO decision horizon and compensation impact the relationship between earnings pressure and R&D retrenchment?

Although relevant literature has been accumulated, how earnings pressure from stock analysts affects a firm's innovation expenditures remains unclear. In order to make this relationship more clear, this study investigates the impact of earnings pressure on a firm's research and development (R&D) investment by considering the combined effects of CEOs’ decision horizon and incentives. Our hypotheses were tested by firms from the S&P 1500 during the period from 2000 to 2012. The findings reveal that earnings pressure has a detrimental effect on a firm's R&D investment, and also that it goes worse when CEOs have a shorter decision horizon. However, when it comes to compensation incentives, we found that either CEOs equipped with higher stock ownership or fewer stock options can reduce the adverse effect of a shorter decision horizon on the relationship between earnings pressure and R&D retrenchment.     

International R&D Rivalry with Spillovers and Policy Cooperation in R&D Subsidies and Taxes

Abstract

We have investigated non-cooperative and jointly optimal R&D policies in the framework of Spencer & Brander (1983) in the presence of R&D spillovers. When R&D activities are strategic substitutes and the R&D game exhibits a positive externality, the result of Spencer & Brander (1983) reverses: the non-cooperative policy is a tax while the jointly optimal policy is a subsidy. Moreover, when R&D activities are strategic complements, the usual result of the prisoners' dilemma in the strategic subsidy game does not hold, implying that a welfare intervention is preferable over laissez-faire. When spillovers are sufficiently large, the joint welfare increases with subsidies being higher than those under non-cooperation.     

Science and Corporate Strategy: A Bibliometric Update of Hounshell and Smith

Hounshell and Smith's Science and Corporate Strategy: DuPont R&D, 1902- 1980 is one of the most comprehensive business history books ever written. In addition, it highlights the important relationship between corporate strategy and R&D activities. The purpose of this current paper is to update the information on DuPont's R&D activities using secondary data and bibliometrics. Our findings are that DuPont underwent a series of dramatic shifts in their R&D efforts during the 1980s and into the 1990s. For example, there was a focus on life sciences, a concerted attempt to reduce R&D, and an endeavour to align R&D more with core businesses. Beyond the bibliometrics, we found that corporate performance and changes in the top management team may have precipitated these changes in R&D. The implications of such relationships are also discussed.     

The international competitiveness of Chinese manufacturing firms and the exit of the renminbi–dollar peg

This paper evaluates the implications of a shift from a pegged to a floating exchange rate regime for the international competitiveness and the economic behavior of Chinese manufacturing firms. Using a conceptual framework that characterizes the relationship between the exchange rate regime and the potential source of a firm's competitive advantage, it yields two key analytical results. First, Chinese manufacturing firms may increase their reliance on a low-margin pricing strategy as the exchange rate regime shifts towards a more flexible one. As a corollary, a low-margin pricing strategy may discourage Chinese manufacturing firms from undertaking costly research and development (R&D) activities, and investments in human capital development. Second, Chinese manufacturing firms have the incentive to employ various wage restraint measures under a floating exchange rate regime at least in the short term. These key analytical results provide insights into a number of policy-relevant issues that may arise at the firm-level. It concludes by providing some general directions on the timing of a complete transition to a floating exchange rate regime.