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.     

基于实物期权的研发项目动态投资决策模型

本文基于实物期权理论,针对研发项目阶段性特点,结合博弈论的思想,分析了多个研发项目组成的投资状态组合,构建了研发项目动态选择模型。首先,根据研发项目多阶段的特征,利用孪生证券的思想,基于实物期权理论,建立了项目中止决策准则;在此基础上分析研发项目的投资决策状态,建立了二十五个状态的切换场景;然后通过实际算例对模型进行验证和分析,得出了研发项目投资的影响范围概念图,最终实现两个项目的最优投资决策目标。     

The impact of service R&D on the performance of Korean information communication technology small and medium enterprises

In recent years, research and development (R&D) in the service industry has attracted a great deal of attention from both academia and industrial firms. However, compared to the manufacturing sector, little research exists on the implications of R&D for the financial and/or non-financial performance of firms in the service industry. The purpose of this study is to examine the impact of service R&D on the performance of information communication technology (ICT) firms. We identify five categories of R&D activities and investigate their impact on the financial and non-financial performance of 100 ICT firms, with a focus on small and medium enterprises (SMEs) in South Korea. We postulate positive relationships between R&D efforts and a firm's performance. However, the findings only partially support our hypotheses; unexpected results demonstrate that the presence of R&D management negatively influences a firm's performance. We present detailed statistical results and discuss the implications of the study.     

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.     

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.     

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.     

不同阶段研发投资对企业绩效的动态效应研究:基于中国上市公司的面板数据分析

研发投资是提高企业绩效的重要途径,不同阶段的的研发投资对于企业绩效的改善存在着差异化作用。本文构建了不同阶段研发投资对企业绩效影响效应的理论模型,并以我国103家上市公司2010-2016年的相关数据为样本,从动态效应的实证分析阶段和开发阶段两个阶段的投资强度对企业绩效影响的异同,结果发现:研究阶段和开发阶段的投资对企业绩效影响均具有正向的积极影响作用,开发阶段的投资在当期对企业绩效的影响较强但不可持续,研究阶段的投资具有滞后效应并且对企业绩效的提升有比较长远的影响。因此过多关注开发阶段的投资并不能有效提高企业绩效,企业应加大研究阶段的投资,以更好地实现其在提高企业绩效中的长效作用。     

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.     

Patent portfolios for strategic R&D planning

Empirical research has found a discrepancy between the perceived importance and the actual level of information on competitor's R&D strategies. It has been argued in the literature that patent information might be used to overcome this information deficit. However, empirical research further reveals that patent information is rarely used in strategic R&D planning. The present paper explores this issue and introduces two types of patent portfolios for strategic R&D planning. In patent portfolios on the company level, patenting strategies are identified and the quality of overall technological positions is benchmarked against relevant competitors. In addition, we present a patent portfolio on the technological level, which, as it is known from various technology portfolios, helps companies to manage the allocation of R&D resources effectively. Based on patent data from 21 German, European and Japanese mechanical engineering companies we show the application of both patent portfolios for strategic R&D planning purposes. The patent portfolios prove to be a very valuable tool for R&D decision makers in companies. Based on the experiences made in the case study, recommendation for the effective use of patent portfolios are formulated.     

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.     

Internationalization of R&D and Innovation Performance in the Pharma Industry

This research investigates the effect of R&D internationalization and contingency variables on innovation performance. A number of prior studies addressing this question have concluded in diverse and inconsistent findings, which can be attributed only partly to sample selection and measurement discrepancies. Using a longitudinal dataset of global pharmaceutical firms, we partly solve this ambiguity in the R&D internationalization and innovation performance relationship. The results reveal an S-shaped relationship, suggesting the benefits of R&D internationalization ultimately overcome the costs after critical levels of R&D internationalization. This finding combines and unites prior findings of a U-shaped, followed by an inverse U-shaped curve. In addition, we find that the experience in conducting R&D internationally, but not the degree of general internationalization, moderates the relationship between degree of R&D internationalization and performance. This suggests that the effect is contingent on the knowledge of internationalization path of the firm but can flourish in the absence of overall internationalization as well. Implications for theory and practice are derived.     

Designing a performance measurement system for the research activities: A reference framework and an empirical study

Designing a performance measurement system (PMS) for R&D activities is a very critical but challenging task for supporting decision making and people motivation. Therefore, the subject is widely discussed in literature, but the use of a PMS for R&D is still uncommon among companies.The paper aims at making a step further in the field, elaborating a reference framework that describes the logical steps for the definition of a PMS for R&D. Moreover, the problem of designing an effective PMS is in-depth studied in a real context, a biotech company that operates in the field of pharmaceutical research.     

The Role of Project and Organizational Context in Managing High‐tech R&D Projects

High‐tech organizations often struggle to manage different types of R&D projects. Evidence from research and practice suggests that managers frequently categorize and manage projects based on the extent of change triggered in product, process, technology, and market dimensions. However, this can create challenges in high‐tech organizations. This study investigates how high‐tech organizations manage R&D projects based on their learning goals. First, we argue for the benefits of categorizing R&D projects based on the degree of exploration and exploitation learning goals. A qualitative case study from four high‐tech business units involving 10 R&D projects helps understand the different types of projects based on their learning goals. The case study shows that R&D projects in high‐tech organizations typically fall into three categories based on their learning goals: Radical innovation projects, Incremental innovation projects, and Hybrid projects. Second, we iterate between literature and evidence from our qualitative data to theorize how project context and organizational context affect project performance depending on the type of project. The data for the empirical analysis come from a multilevel survey of 110 R&D projects across 34 high‐tech business units. Results show the importance of designing project and organizational context differently for the three types of R&D projects. Collectively, this study offers a new perspective on how to manage high‐tech R&D projects.     

R&D alliance portfolio and innovation in an emerging market: The role of business group affiliation and institutional reforms

The role of institutional factors in shaping the outcomes of research and development (R&D) alliance portfolios (APs) is underexplored in the extant literature. This study examines how institutional contingencies in an emerging market context affect the relationship between R&D AP composition (i.e., size and diversity) and firm innovation performance. This study draws on institutional perspective to suggest that business group affiliation (BGA) and institutional reforms positively moderate the relationship between R&D AP composition and innovation performance. A longitudinal empirical investigation conducted on a sample of 185 firms from Indian high-tech sectors, for the period 2003–2015, broadly supports our arguments. This study contributes to the AP and emerging markets literature by highlighting the effects of institutional contingencies of emerging markets on the outcomes of R&D APs.     

An empirical analysis of the role of reference point in justice perception in R&D settings in Korea

This study examines the relationship of the respondent's reference point with regards to distributive and procedural justice in an R&D setting in Korea. The two characteristics: (1) the rewards difference between Korean public and private R&D institutes (the outcome level at the public R&D institutes is much less than that at the private ones), (2) and the similarity of procedures being used to determine R&D professional's rewards at both types of research institutes, provide an excellent real-life setting for studying the role of reference point. To avoid common method variance, we measured distributive and procedural justice separately. Consistent with the previous experiments, R&D professionals at the public R&D institutes indicated differentiated distributive justice levels according to R&D professionals' reference points. Results also showed that the presence of a social comparison other (suggested reference point) leads the R&D professionals at public R&D institutes to perceive procedural injustice. Finally, several theoretical and managerial implications were discussed.     

The Impacts of Alliance Purpose and Partner Similarity on Alliance Governance

It is generally recognized that the governance structure of an alliance has an impact on its probability of success. In this study, we examine the choice between two alternative alliance governance structures: equity and non-equity. Drawing from transaction cost economics, two sets of factors, namely alliance purpose (R&D or marketing) and cultural distance between partners, are hypothesized to influence the above choice. We further hypothesize that collaborative R&D alliances, where both parties contribute technical knowledge, are more likely to lead to the formation of equity alliances than non-collaborative research agreements, where only one partner may be doing the research work. Based on a sample of 2407 alliances formed in the global biotechnology industry, we find partial support for the hypothesized relationships. Specifically, we find that collaborative R&D alliances are more likely to be equity alliances, whereas non-collaborative R&D alliances do not have any impact on the choice of the governance form. We also find that alliances formed with a marketing purpose are less likely to be equity alliances. We did not find any relationship between cultural distance and the choice of equity alliances.     

Performance measurement in industrial R&D

Currently, the need for R&D performance measurements that are both practically useful and theoretically sound seems to be generally acknowledged; indeed, the rising cost of R&D, greater emphasis on value management and a trend towards decentralization are escalating the need for ways of evaluating the contribution of R&D to corporate performance. However, although recent research and writing on the subject shows that the challenge of developing such sound measurements has been taken up by many academics and organizations, it is also clear that there is no generally applicable approach.
In this review, we consider various approaches for measuring the performance in industrial R&D and identify their key characteristics. We also include a brief summary of the 'history' of performance measurement in R&D, which shows that although there are some new ways of looking at the issue there are many examples from the past that can contribute to our current thinking.
The approaches found in the literature and practice are very varied in their application, some being more suitable for the project level, others for the R&D department, and some for the development process or for the organization as a whole. Furthermore, the uses of the approaches tend to be different. For example, some approaches are intended to justify the continuation of investment in R&D to upper management, whilst others are more suited to support learning and self-correction by empowered R&D teams. In this paper these uses, or 'functions', of performance measurement and a taxonomy of typical subjects of measurement in R&D environments are explored.
Finally, we conclude the review with a discussion of some limitations of the growing literature on R&D performance measurement.     

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.     

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.