Acquisition as a means for external technology sourcing: Complementary, substitutive or both?

This paper addresses the question of how a target firm's innovation activities relate to the acquiring firm's R&D characteristics, and more specifically, if the former substitute for, or complement the acquirer's activities. It investigates this question in three narrowly defined high technology industries by analysing the association of three R&D characteristics of acquiring firms with different measures of acquisition extent and content. The R&D characteristics referred to are: addressing R&D efforts, R&D outputs and absorptive capacity. Data was collected in each case for those firms whose combined sales revenue makes up 80% of the industry total and is used to test a set of hypotheses derived from extant literature. The findings confirm a substitutive relationship between acquisitions and acquirer research efforts as well as between acquirer and target patent output, whereas absorptive capacity is complementary to acquisition activities. The results reveal that acquirers target firms that hold a large number of patents in the fields where acquirer patenting is weak, and so address weaknesses in their own R&D output. This finding extends the extant literature on the role of external technology sourcing in the high technology context. Research findings are presented along with their implications and directions for future research.     

Within-cluster determinants of output efficiency of R&D in the space industry

Dynamic slacks-based data envelopment analysis is applied to measure output performance efficiency of space R&D active private firms. Fractional logit panel analysis is used to identify associations between this firm level R&D output efficiency and space industry level R&D specialisation, presence of anchor firms, and public R&D capacity within geographical clusters.Primary data collected for the entire population of space R&D active firms in Belgium for the period 2011–2015 reveals that an environment specialized in the focus firm's space activities exerts a positive influence on R&D output efficiency. The public space R&D capacity and the presence of space anchor firms within the cluster do not influence R&D output efficiency. Firm age, a mixture of space and non-space R&D, and larger amounts of public funding positively affect R&D output efficiency. These findings should be seen in a context of a space industry dominated by SMEs and in a five year time-span.     

Exploring the impact of sustainable value proposition on firm performance

Considering the immense potential of sustainable business models in tackling the broader challenge of corporate sustainability, this paper integrates the literature streams on sustainability practices and organizational business models to analyze the performance implications of a firm's sustainable value proposition. Based on the analysis of a large panel dataset across different industries, consistent with the proposed theory, a sustainable value proposition has been found to have a positive impact on a firm's market-based financial performance (namely, Tobin's Q). Yet, this impact turns out to be highly context-dependent. In particular, the findings reveal that a firm's R&D capabilities improve the positive effect of a sustainable value proposition on a firm's financial performance. At the same time, the marketing communication capabilities and sustainable practices regarding employee relations reduce the sustainable value proposition's financial performance effect, arguably due to the costs associated with marketing and the loss in employee interest during the process of adopting the sustainable business model elements.     

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.     

The Effect of Product Development Restructuring on Shareholder Value

This article examines the effect of product development restructuring (PDR) on shareholder value. The results are based on a sample of 165 announcements made during 2002–2011. PDR announcements are associated with an economically and statistically significant positive stock market reaction. Over a two‐day period (the day of the announcement and the day preceding the announcement), the mean (median) market reaction is 1.63% (0.87%). The market reaction is generally positive regardless of the PDR purpose or action. Although the market reaction is more positive for higher R&D intensity firms, it is not directly affected by the firm's prior financial performance or whether the firm's primary PDR objective is to increase revenues or cut costs. However, the interaction between the firm's prior financial performance and its primary PDR objective is significant. For firms that are financial outperformers, the market reaction is more positive if the firm's primary PDR objective is to increase revenues. For financial underperformers, the market reaction is more positive if the firm's primary PDR objective is to cut costs.     

The role of political ties and political uncertainty in corporate innovation

We examine the relationship between firms' political connections and corporate innovation in a European context. We also consider the moderating effect of political connections on the relationship between political uncertainty and firms' innovation. We use two different metrics of innovation: R&D (an input measure), and patent counts (an output measure). We find that firms with former politicians on their board of directors invest less in R&D than their counterpart firms. However, the presence of this type of director on the board is positively associated with the number of a firm's patent applications. It seems that, although political ties reduce the amount of resources devoted to R&D activities, they increase the effectiveness of intellectual rights protection. Results also show that political uncertainty decreases R&D investment but exacerbates the need for legal protection of innovation through patents. According to our results, political connections attenuate the effect of political uncertainty on firm innovation such that the negative (positive) effect of uncertainty on R&D intensity (patents) weakens when the firm is politically connected.     

An empirical examination of the science–technology relationship in the biotechnology industry

Understanding how a firm's scientific capability influences its technology development has important implications on the firm's research and development (R&D) strategies. However, the current literature reveals a puzzling outcome in its empirical investigations on the science–technology relationship. While many studies show the positive influence of a firm's scientific capability on its technological performance, a few others indicate that if a firm focuses its attention more on cutting edge science, its overall technological performance will suffer. We suggest that these findings can be reconciled by conceptualizing and measuring the scientific capability of the firm differently. This paper attempts to demonstrate how different notions of scientific capability are associated with different performance outcomes. Furthermore, a firm's scientific capability facilitates the integration of new knowledge to produce valuable technologies when a firm broadens its search for new knowledge. The paper highlights the nuances of conceptualizing and measuring the firm's scientific capability in two different ways: number of scientific publications and non-patent references. The findings also shed light on the mechanism through which science accelerates technological progress inside a firm.     

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.     

Identifying Technology Spillovers and Product Market Rivalry

The impact of R&D on growth through spillovers has been a major topic of economic research over the last thirty years. A central problem in the literature is that firm performance is affected by two countervailing “spillovers” : a positive effect from technology (knowledge) spillovers and a negative business stealing effects from product market rivals. We develop a general framework incorporating these two types of spillovers and implement this model using measures of a firm's position in technology space and productmarket space. Using panel data on U.S. firms, we show that technology spillovers quantitatively dominate, so that the gross social returns to R&D are at least twice as high as the private returns. We identify the causal effect of R&D spillovers by using changes in federal and state tax incentives for R&D. We also find that smaller firms generate lower social returns to R&D because they operate more in technological niches. Finally, we detail the desirable properties of an ideal spillover measure and how existing approaches, including our new Mahalanobis measure, compare to these criteria.     

How market entry order mediates the influence of firm resources on new product performance

Building from the resource-based view of the firm and the first-mover advantage literature, this paper asserts that the entry order in a new product-market affects how the firm's resources and capabilities influence the product's performance. This proposition is tested on a sample of 136 product launches by Spanish manufacturing firms. The empirical analysis reveals that firms with superior managerial and R&D resources achieve superior new product performance when an early-entry strategy is adopted. Manufacturing resources also contribute positively to the success of new products, but this effect is weakened by the difficulties and inconveniences that firms with advantages in operations face when they attempt to pioneer a new market. The results regarding the influence of marketing resources on new product performance are not conclusive.     

Explaining performing R&D through alliances: Implications for the business model of Italian dedicated biotech firms

In recent years management scholars and practitioners have been interested in Research and Development (R&D) partnering, especially in high-tech industries. While the motivations of research partnership formation have been widely explored in literature, little attempt has been undertaken to examine the effects of research partnerships on R&D productivity and the implications for business models of the new ventures. In this paper we try to shed some light on the business models of the young ventures involved in R&D partnerships and their effect on R&D productivity. Our hypotheses are that experience in previous alliances, repeated partnerships and tight relationships have positive effects on R&D productivity while rigid governance structures and public R&D subsidies have negative effects on such productivity. We discuss how these aspects affect the business models of biotech firms. We test our hypotheses on a sample of 55 Italian DBFs (Dedicated Biotech Firms). Results support our hypotheses. Managerial implications and further issues for future research are discussed.     

Government spending on research and development and industrial production in Singapore

The role of government policies in the economic growth of Singapore has been well documented. The governments actions, such as the provision of appropriate infrastructure, have resulted in massive inflow of foreign capital to Singapore. Government sponsorship of selected industries and foreign investment helped domestic firms to gain access to advanced technologies. During the 1990s there was a significant increase in government spending on research and development (R&D) that can be attributed to the development of advanced technologies by Singaporean firms. This paper examines the impact of government-funded R&D in fostering the development of Singapores industrial production in the 1990s. The study explicitly considers the performance of three industries within the manufacturing sector: the machinery and equipment industry, the electrical machinery industry, and the transport equipment industry. It is shown that the fluctuations in real government spending on R&D had a significant positive impact on the performance of the selected manufacturing industries.     

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.     

政府补贴、所有权性质与企业研发决策

本文将企业研发行为分为"是否研发"和"投入多少"两个阶段,就政府补贴对不同所有制企业研发决策的影响进行研究.理论方面,构建企业研发决策的两阶段模型,讨论了补贴对企业研发投资的作用机制.实证方面,以中国工业企业为对象,选择Heckman两步法和2SLS分别处理了样本选择性偏误及变量间的内生性问题,对来自国有、私营和外资企业的分类样本进行了检验,结果表明:在不同的所有权性质下,政府补贴对企业研发投资的作用存在一定差别,国有企业面对优惠政策的倾斜和需要担负的社会责任,从事技术创新活动的概率较高,但由于特殊的产权关系和预算软约束等原因,缺乏扩大研发投入的动力;对于治理机制完善的外资企业和处于市场竞争弱势地位的私营企业而言,政府补贴的研发激励效果更为明显.     

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.     

Effect of R&D expenditures and funding strategies on the market value of biotech firms

Market value of biotech firms is important to investors and venture capitalists who keep this industry alive and dynamic. It is a particularly valuable index of investors' estimate of current and future success of the firms in this industry because other conventional indices of performance and success are inappropriate. Our hypothesis is that market value in this industry can be explained in terms of funding strategies and R&D expenditures. Using all sixty publicly-held biotech firms, that are included in a national directory for such firms engaged in the research of biotech products for human use, we estimate multiple regression models that explain most of the variance in market value using funding strategies and R&D expenditures (R-squared = 0.93). Our models also demonstrated that small biotech firms (< $10 million in total revenue) are substantially different from larger ones.     

Firms' R&D Cooperation Behavior in a Supply Chain

This study investigates firms' R&D cooperation behavior in a supply chain where two firms first cooperate in R&D investments and then decide the production quantity according to a wholesale price contract. By using a concept named contribution level that measures a firm's technological contribution to the R&D cooperation in the supply chain, we show that both firms can achieve win–win via cartelization only if their contribution levels are Pareto matched, i.e., when each firm's contribution level is comparable to its partner's. When spillovers are endogenized, we further establish that an increasing spillover always benefits both firms without any R&D cooperation, but only benefits the firm whose contribution level is relatively low when under R&D cartels. Finally, we show that the path of first increasing spillovers to be perfect and then forming a cartel has a higher chance of achieving the best mode in terms of profitability.     

Optimal Configuration of a Service Delivery Network: An Application to a Financial Services Provider

Driven by market pressures, financial service firms are increasingly partnering with independent vendors to create service networks that deliver greater profits while ensuring high service quality. In the management of call center networks, these partnerships are common and form an integral part of the customer care and marketing strategies in the financial services industry. For a financial services firm, configuring such a call center service network entails determining which partners to select and how to distribute service requests among vendors, while incorporating their capabilities, costs, and revenue‐generating abilities. Motivated by a problem facing a Fortune 500 financial services provider, we develop and apply a novel mixed integer programming model for the service network configuration problem. Our tactical decision support model effectively accounts for the firm's costs by capturing the impact of service requirements on vendor staffing levels and seat requirements, and permits imposing call routing preferences and auxiliary service costs. We implemented the model and applied it to data from an industry partner. Results suggest that our approach can generate considerable cost savings and substantial additional revenues, while ensuring high service quality. Results based on test instances demonstrate similar savings and outperform two rule‐based methods for vendor assignment.     

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.     

Make,buy or both? R&D strategy selection

The aim of this paper is to increase our knowledge of a firm's innovative behaviour by jointly analysing its internal resources, industry characteristics and appropriability conditions as drivers of its R&D strategy selection: make, buy and make-buy. Based on panel data (1992–2005) covering 1539 Spanish manufacturing firms, results show that firms lacking organisational resources and competing in stable markets prefer the buy strategy. Firms with a high level of technological resources that are immersed in high-tech industries are prone to selecting the make-buy strategy. Internationalised firms with high levels of appropriability prefer the make strategy.