Capital Budgeting Practices for R&D: A Survey and Analysis of Business Week's R&D Scoreboard

This paper discusses results of a survey of U.S. Corporations regarding the extent of the utilization of standard capital budgeting measures of investment worth to evaluate R&D projects. This study analyzes responses by three types of R&D activity: Basic, Applied and Development research. The results indicate that discounted cash flow methods are widely utilized in the evaluation of Development projects, and the analysis of Development projects is as sophisticated as the evaluation of non-R&D projects. The use of discounted cash flow analysis techniques for Applied projects is considerably less widespread than for Development projects. However, the utilization of Net Present Value and Internal Rate of Return increases with firm size. Basic research projects are much less likely to be subjected to a formal economic analysis and are generally thought of as being “strategic” investments. This research also indicates that post-audits of Applied and Development projects are based on economic measures, whereas Basic research projects focus on physical or operational goals. Lastly, this research indicates that most R&D projects are terminated because R&D priorities have changed rather than because they are not technically feasible.     

International R&D project evaluation by multinational corporations in the electronics and IT industry of Singapore

This paper explores a number of variables associated with the evaluation of international R&D projects by multinational corporations (MNCs) in the electronics and IT industry of Singapore. Empirical analysis of the data collected from R&D managerial executives suggests a series of considerations in relation to their R&D investments. It is desirable if R&D can create a potential impact on the growth of their regional and international businesses. In considering the risks associated with an R&D project, a balance approach would be appropriate when demanding a return on investment. In particular, the consistence with customer demands, the achievement of time‐based competitiveness, the training of R&D manpower and the development of conducive innovation environments are fundamental to the success of international R&D projects.     

R &D investments and profitability during the crisis: evidence from Greece

Innovation and Research and Development (R&D) investments have been considered in the literature as a significant determinant of corporate development and sustainability. Previous studies have examined the impact of intangibles on financial performance but not extensively within economic environments of intense financial turmoil. The scope of this study is to shed further light on this issue and examine whether R&D investments had an impact on the profitability of Greek firms especially during the sovereign debt crisis. We collected a sample of Greek corporations that have capitalized their R&D investments and paid significant amounts on R&D expenses during the period 2003–2016. Panel regression results indicated that R&D investments and R&D expenses had a negative impact on the profitability of sample firms before the crisis, but during the crisis (2011–2016) firms which managed to sustain or enhance their level of R&D investments achieved to improve their profitability. These findings corroborate our hypotheses that during a period of limited lending and hearse financial turmoil, R&D investments could be a vital tool for sustaining firms' financial performance. The study offers useful implications for managers and regulators, and contributes to the ongoing debate about the impact of R&D investments on corporate performance.     

The path of R&D efficiency over time

In this paper we investigate the pattern of R&D efficiency in terms of the number of product innovations achieved by firms over time. Using a panel dataset of Spanish manufacturing firms for the period 1990–2006, we follow the innovative performance of R&D active firms and observe that innovation rates change over firms' R&D histories. To explain these facts we propose a model that explicitly acknowledges the twofold composition of firms' R&D expenditures, comprising spending on both physical capital for R&D projects and payments to researchers. We regard this latter component of R&D as a source for dynamic returns to firms' R&D investments. Consequently firms' innovation outcomes clearly depend on how long they have been investing in R&D and also on whether there have been any interruptions in the temporal sequence of R&D activities. Our results suggest that R&D activities exhibit dynamic returns that are positive but at a decreasing rate, and that interruptions in R&D engagement reduce R&D efficiency.     

R&D in markets with network externalities

This paper studies the consequences of network externalities on R&D rivalry between an incumbent firm and a potential entrant. In the model, all differences between the R&D projects chosen in market equilibrium and the socially best projects are solely due to network externalities. From a welfare perspective, the incumbent chooses a too risky and the entrant a too certain R&D project. Rothschild and Stiglitz's mean preserving spread criterion is used as a measure of risk. Adoption of a new standard is more likely in equilibrium than in the social optimum.     

Vertical integration and innovation

Innovation is a driving force for most industries, where it moreover affects many stages of the vertical chain. We study the impact of vertical integration on innovation in an industry where firms need to undertake risky R&D investments at both production and distribution stages. Vertical integration brings better coordination within the integrated firm, which boosts its investment incentive at both upstream and downstream levels. However, it is only mutually beneficial for firms to integrate when both upstream and downstream innovations are important. When innovation is irrelevant at one level, firms favor instead vertical separation. The analysis provides insights for the wave of mergers and R&D outsourcing observed in the pharmaceutical industry and other vertically related industries.     

Agricultural research spending must increase in light of future uncertainties

Agricultural productivity depends critically on investments in research and development (R&D), but there is a long lag in this response. Failing to invest today in improvements of agricultural productivity cannot be simply corrected a few decades later if the world finds itself short of food at that point in time. This fundamental irreversibility is particularly problematic in light of uncertain future population, income, and climate change, as portrayed in the IPCC’s Shared Socio-Economic Pathways (SSPs). This paper finds the optimal path of agricultural R&D spending over the 21st century for each SSP, along with valuation of those regrets associated with investment decisions later revealed to be in error. The maximum regret is minimized to find a robust optimal R&D pathway that factors in key uncertainties and the lag in productivity response to R&D. Results indicate that the whole of uncertainty’s impact on R&D is greater than the sum of its individual parts. Uncertainty in future population has the dominant impact on the optimal R&D expenditure path. The robust solution suggests that the optimal R&D spending strategy is very close to the one that will increase agricultural productivity fast enough to feed the World under the most populous scenario. It also suggests that society should accelerate R&D spending up to mid-century, thereafter moderating this growth rate.     

Flexibility planning for managing R&D projects under risk

Incorporating managerial flexibility in an innovative R&D project is important, because managers face greater uncertainty in today's competitive and dynamic changing environment. It is essential to bring managerial flexibility into R&D project planning to decrease technical and market risks, while increasing potential market value. The objective of this paper is to develop a flexibility planning methodology based on real option analysis to improve managerial flexibility for R&D projects. The proposed methodology identifies potential risks that may occur during every R&D stage. It also recognizes a cascading option structure to resolve the identified risks, and evaluates and selects adequate options that maximize the potential value of the project. Instead of using a traditional option pricing method, a dynamic programming model that considers multidimensional product performance and market payoff is used to evaluate the R&D project value. Using the proposed methodology, managers can identify future scenarios as a function of their management actions. The proposed flexibility planning methodology can help managers improve managerial flexibility of R&D project and increase the success rate of product launch. A drug development project is used to illustrate the proposed methodology.     

Using mean-Gini and stochastic dominance to choose project portfolios with parameter uncertainty

Although a variety of models have been studied for project portfolio selection, many organizations still struggle to choose a potentially diverse range of projects while ensuring the most beneficial results. The use of the mean-Gini framework and stochastic dominance to select portfolios of research and development (R&D) projects has been gaining attention in the literature despite the fact that such approaches do not consider uncertainty regarding the projects’ parameters. This article discusses, with relation to project portfolio selection through a mean-Gini approach and stochastic dominance, the impact of uncertainty on project parameters. In the process, Monte Carlo simulation is considered in evaluating the impact of parametric uncertainty on project selection. The results show that the influence of uncertainty is significant enough to mislead managers. A more robust selection policy using the mean-Gini approach and Monte Carlo simulation is proposed.     

What factors of early-stage innovative projects are likely to drive projects’ success? A longitudinal analysis of Korean entrepreneurial firms

Previous studies have identified the factors affecting successful technology commercialization as outcomes of R&D projects. However, most of them have used cross-sectional data, whereas there is a dearth of literature using longitudinal data analysis. Longitudinal analysis is essential for investigating the characteristics of early-stage innovative projects due to the inherent time lag between project evaluation and commercialization. Therefore, this study examines the early-stage project characteristics that can be used as meaningful evaluation criteria for predicting success, particularly in technology commercialization. We collected data on the ex-ante evaluation results and ex-post commercialization results of R&D projects pursued by entrepreneurial firms. We then conducted a logistic regression analysis and identified three market-related factors as significant in driving technology commercialization success in the early stages of technology development: market potential, commercialization plan, and market condition.     

Institutional means-ends decoupling work in industrial R&D project implementation

Managing goals is a key network management function and is critical in the implementation of industrial R&D projects. In this paper, we explore the implementation of an industrial R&D project, focusing in particular upon the role of means-ends decoupling work to understand how the goals are managed. We combine several data sources in our case research to explore project implementation through an understanding of means-ends decoupling work. We collected in-depth interviews, archival records and field observations within the R&D research setting of an industrial R&D project in the period of 2015 to 2017. Our findings identify three types of means-ends decoupling work in R&D project implementation: ‘work on’ causal complexity, ‘work at’ behavioural invisibility, and ‘work with’ practice multiplicity. In addition, we uncover six dynamic micro-mechanisms that collectively influence the making and nature of means-ends decoupling work and therefore serve to allow for the fluid switching of work as the institutional conditions permit. Overall, our findings have significant implications for understanding means-ends decoupling as a highly skilled network competence for managing R&D project implementation goals.     

The influence of voluntarily disclosed qualitative information

We examine the voluntary disclosure of qualitative information about actions involving governmental agencies and managerial intentions or beliefs in R&D project announcements in The Wall Street Journal. Our analysis indicates that information regarding government approval and managerial intentions/beliefs voluntarily disclosed in R&D project announcements interacts with industry/firm variables to provide significant incremental explanatory power in both the innovation and commercialization stages of R&D projects. Our data also indicate that the biggest impact is from managerial intentions, especially an intent to increase market share when coupled with being a larger firm. Copyright © 2000 John Wiley & Sons, Ltd.     

The welfare effects of cooperative R&D in oligopoly with spillovers

This paper provides a more complete characterization of the welfare effects of cooperative cost-reducing R&D investments in Cournot oligopoly with spillovers. I show that R&D cooperation reduces both R&D spending and social surplus when the spillover rate in R&D is neither sufficiently high nor sufficiently low. As the elasticity of the slope of the inverse demand function increases, however, the set of spillover rates over which cooperative R&D reduces social welfare shrinks, and in the limit, cooperative R&D is socially beneficial for all spillover rates.     

Interplay between internal investment and alliance specialization in R&D and marketing

A firm's efforts to build its technological and marketing capabilities are not limited to internal investments but can be extended to include external knowledge acquisitions. We examine the interaction between a firm's specialization in R&D or marketing through its internal investments and its alliances in two different industrial contexts. Our results, based on secondary data sources such as Compustat and SDC Platinum from 1985 to 2009, show that the interaction effects of internal specialization and alliance specialization are contingent on the types of tasks (i.e., R&D and marketing) and the industrial context (i.e., high- and low-tech industries). Our findings indicate that a firm in a high-tech industry is able to achieve greater gains by complementing its internal focus on R&D with its external focus on marketing or by focusing on R&D both internally and externally. In contrast, a firm in a low-tech industry is able to achieve greater performance when R&D and marketing complement each other, without regard for how they are aligned through internal investments and alliances. The firm is also able to improve its performance by focusing on marketing both internally and externally. These findings provide new insights into the complementarity between internal investments and alliances.     

Cross-functional integration in the sustainable new product development process: The role of the environmental specialist

Companies in the twenty-first century are exposed to a variety of pressures to respond to environmental issues, and responding to these pressures affects several aspects of business such as purchasing, marketing and logistics. Managers increasingly view sustainability as a complement to their corporate agendas, or even as an opportunity. It is important to understand how firms integrate environmental issues into their businesses and how these integration strategies affect performance. The process of sustainable new product development (SNPD) is a key strategic focus to achieve economic and environmental sustainability. This paper examines the integration of environmental specialists into new product development teams that are composed of other functional specialists including marketing, manufacturing, and R&D personnel, and its impact on SNPD project performance across three stages: concept development, product development, and product commercialization. We empirically test our theoretical model using a sample of 219 firms from a range of business-to-business industries. We present evidence that integrating an environmental specialist into a new product team has a positive influence on SNPD project performance beyond what the traditional members of such a team would accomplish. We analyze this relationship across the stages of SNPD to obtain a clearer picture of the effects of this integration. In particular, the integration of the environmental specialist was more effective on SNPD project performance in the final stage of the SNPD process when the product was being launched; this effect is even greater for high-innovative projects.     

Overlapping ownership and product innovation

We characterize the effect of overlapping ownership (OO) on investments in drastic product innovation. The success probability of innovation increases with investment. We analyse two opposing forces: (1) OO induces firms to internalize that success on their own behalf erodes the rivals’ business, reducing investments; (2) OO softens competition in the product market, enhancing investments. Our analysis reveals that the competition-softening effect, by stimulating investments, can induce OO to benefit consumers, in particular when the R&D projects are complex. We also show that an incumbent technology raises the threshold required for OO to stimulate investments in innovation.     

International R&D partnerships and intrafirm R&D–marketing–production integration of manufacturing firms in emerging economies

Although cross-functional integration is important for research and development (R&D), research about implications of cross-functional integration has been rather sparse. In new product development (NPD), no study to date has examined intrafirm as well as interfirm integration of key functions such as intrafirm R&D–marketing–production together with interfirm integration of host R&D–partner R&D. Such marketing and operations interface contributes to a better understanding of how operational and marketing activities impact on competitiveness and firm performance. This study collected data from 202 electronics manufacturing firms operating in an emerging economy, mainland China and Hong Kong with international R&D partnerships. The findings indicate that a high level of R&D integration between firms improved NPD performance when cross-functional integration is based on existing rather than new product configurations and key technologies. Interestingly, in high distance situations, cross-functional integration in the production validation stage generated NPD success. The findings show that high environmental uncertainties lead to a high level of host and partner firms R&D integration. However, product newness has no significant effects on R&D integration in any of the NPD stages.     

Does business group affiliation encourage R&D activities? Evidence from India

The decision to undertake investment in innovative activities is an important strategic choice made by firms. This study investigates the relationship between business group (BG) affiliation and research & development (R&D) activities of Indian firms. Using an empirical approach that accounts for endogeneity and selection bias, we observe that BG affiliation has significant positive influence on the sample firms’ R&D activities. Employing various proxies for institutional development, we show that the effect of BG affiliation on R&D declines with the improvements in institutional and regulatory mechanisms. Further, this study explores the linkages between diversification strategies at the group level and R&D investments by firms affiliated with BGs. Results show that degree of related diversification is positively associated with the affiliates’ innovation efforts.     

Pricing real growth options when the underlying assets have jump diffusion processes: the case of R&D investments

Numerous previous studies have demonstrated that research and development (R&D) investments can be evaluated by a real growth options approach. However, few studies have constructed evaluating models which consider the important R&D characteristics, including uncertainty regarding the project value, investment cost, and jump diffusion processes. The contribution of this study is not only to derive a model for evaluating R&D investments to conform to these key characteristics of R&D activities but also to build a real option pricing method that is more general than comparative important models, such as the theoretical papers of Black and Scholes (1973), Merton (1976), and Fischer (1978), and the application paper of Brach and Paxson (2001). This study also presents sensitivity analyses which illustrate the dynamic relationship between the real growth option value and the project value, investment cost, and main jump parameters. Hopefully, the results of this study can provide a useful reference for managers, and help them make better evaluations of R&D investments.     

Stakeholder analysis for R&D project management

R&D projects affect the interests of different stakeholders in different ways. Understanding the stakeholders and analysing their interests helps in the better management of R&D projects. In this paper we discuss a methodology to systematically analyse the stakeholders of R&D projects. This methodology includes Freeman's (1984) three levels of analysis: rational, process and transactional. Based on these three levels, the stakeholder management capability of an R&D project is determined. The final stage is based on Mitchell et al . (1997) approach to analysing the dynamics of stakeholders. This methodology is illustrated using a New Zealand case relating to a road pricing R&D project.