A simulation model of R&D budgeting

Abstract
A simple simulation model is developed that allows the testing of alternative heuristic rules for R&D budgeting. Sales-dependent budgeting, all-you-can-afford budgeting, and budgeting tied to a target rate of product innovativeness are studied. It can be shown that the choice, of the budgeting rules as well as their parameters interact with market diffusion of new products as well as with R&D returns to scale. Thus, budgeting to achieve certain growth or profit objectives has to keep these interactions in mind.     

A model for R&D performance measurement

R&D activities are increasingly costly and risky and, as a consequence, measuring their performance and contribution to value becomes critical. This paper illustrates a formal model for measuring R&D performance, based upon a balanced and synthetic evaluation of quantitative indicators from five different perspectives of performance: financial, customer, innovation and learning, internal business, alliances, and networks. The model is built in coherence with the suggestions coming from the theory of measurement in soft systems, which gives relevant guidelines for ensuring validity, objectivity and inter-subjectivity of the model. Then, an application in a real R&D setting is described, which helps to understand the model and to enlighten its main advantages and limits.     

Peer assessment in industrial R&D departments

The paper reviews the current state of knowledge on peer assessment of performance with special reference to industrial R&D organisations. The authors define the term "peer" and discuss briefly various techniques for assessment (nomination, ranking and rating). The authors review the literature of peer review to show that it can add to the value of assessment and that certain obvious objections to peer rating apply also to supervisory review. Their conclusion is that peer review is a useful adjunct to appraisal, but only if it is completely acceptable to all involved. The conditions for achieving this acceptance are discussed. The paper concludes by showing how peer rating can be used for team development.     

A theory of global strategic alliances: The case of the global auto industry

The theory articulated in this paper suggests that the desire to reduce demand and competitive uncertainty are two separate, important motives for alliance formation. Taking this as a starting point, we predict the configuration of horizontal alliances that we might expect to observe within an industry when firms experience these uncertainties to different degrees. An empirical test of this theory using data from the global auto industry yields results consistent with the view (1) that alliances are a device for reducing both the uncertainties that arise from unpredictable demand conditions and those that arise from competitive interdependence, and (2) that variation of demand uncertainty and competitive uncertainty across firms explains differentials in both the intensity and structure of their horizontal alliance activity.     

Strategic management of intangible assets and value drivers in R&D organizations

This paper takes a resource-based view of the R&D process. Based on the literature, we forward a theory that allows us to predict the dynamic interaction and transformation of five key resources, namely human, relational, organizational, monetary, and physical. Utilizing visualization tools allows us to test this theory on various levels in order to draw insights from the data. The output of the analysis improves the strategic understanding of an organization. In particular, it improves the understanding of how intangible resources drive the value creation in an R&D organization. Further analysis of the data allows us to identify resources that are either under utilized or over utilized, which might indicate inefficiencies in the organizational performance.     

A utopian view of R&D functions

Technology management research appears to have a much longer history than is commonly assumed. In this short paper attention is drawn to some of Francis Bacon's writings which appeared in the early seventeenth century, and which contain ideas on laboratory organization that still have relevance today. In fact, it is only recently that the same broadness of laboratory functions described in the earlier text has been re–discovered.     

Project selection: A process analysis

Technology-oriented companies involved in rapidly changing markets are interested in the value of collaborative efforts aimed at the realization of shared benefits, while spreading the costs and risks across multiple partners. The experiences and insights of participants in such ventures can contribute to the understanding of how to build more productive alliances. This study examines the project evaluation processes employed by the most successful industry-university research centers sponsored by the National Science Foundation. The delivery of highly satisfying research programs, as indicated by the industrial representatives, is defined as being successful. This paper focuses on the process management issues involved in the formulation and evaluation of research proposals, structural advantages and liabilities associated with the process, as well as the conditions/contexts that favor their application. These processes are strategically significant because they define the organization's research agenda, focus resource allocations by linking capabilities and commitments, and frame the performance assessment process.     

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.     

A Role for Knowledge Engineering in R&D

The author distinguishes information from knowledge: information is notes, details, evidence, etc., knowledge is general laws, theories, understanding. Information Engineering (IE) is the provision of knowledge in usable form. Artificial Intelligence (Al) is the construction of computer systems that exhibit signs of intelligence. He asserts that Al has already provided methodologies that have advanced both IE and KE. The result is that IE and KE are now in the position to act as the pencil, paper and report material for R&D.
Working knowledge of the languages is easily acquired and some useful empty shells are available, though the latter need more variety. Existing systems tend to be crude and may not address the right issues, e.g. emphasising probability rather than the risks associated with actions. Nevertheless the available tools are good enough to build useful expert systems for R&D.
The potential of KE in education is being missed. In the author's opinion all university students should be taught to use the basic tools of knowledge engineering and apply them to their own disciplines.     

R&D competition versus R&D cooperation in oligopolistic markets with evolving structure

This paper considers investment behavior of duopolistic firms subject to technological progress. It is assumed that initially both firms offer a homogeneous product, but after a stochastic waiting time they are able to implement a product innovation. Production capacities of both firms are product specific. It is shown that firms anticipate a future product innovation by under-investing (if the new product is a substitute to the established product) and higher profits, and over-investing (in case of complements) and lower profits, compared to the corresponding standard capital accumulation game. This anticipation effect is stronger in the case of R&D cooperation. Furthermore, since due to R&D cooperation firms introduce the new product at the same time, this leads to intensified competition and lower firm profits right after the new product has been introduced. In addition, we show that under R&D competition the firm that innovates first, overshoots in new-product capacity buildup in order to exploit its temporary monopoly position. Taking into account all these effects, the result is that, if the new product is neither a close substitute nor a strong complement of the established product, positive synergy effects in R&D cooperation are necessary to make it more profitable for firms than R&D competition.     

A basic model for evaluating R&D performance: theory and application in Italy

Nowadays the public R&D laboratories have a fundamental role in countries' development, supporting businesses as they face the technological challenges in the turbulent world scenarios. Measuring the performance of R&D organisations is crucially important to decisions about the level and direction of public funding for research and development. This research considers the public laboratories like systems and develops a mathematical model based on the measurement of R&D activities with k‐indices. The score obtained from the research laboratories evaluation (relev) methodology synthesises in single value financial, scientific and technological aspects. It is an indicator, for R&D manager and policy maker, of performance in relation to other research organisations or in a time series. The method is an instrument of strategic planning and can be used for the improvement of individual activities and the overall performance of public R&D bodies.     

A quantitative assessment of innovation dynamics and R&D management in Japanese and West German telecommunications

Abstract
Among the industrial countries, different working divisions have evolved between manufacturing industry, governments and network operators, each being responsible for distinct parts of R&D in the telecommunications field. This paper provides a comparison of R&D in Japan and West Germany to several western industrial countries and highlights their diverse structures.
For this quantitative assessment various indicators for science and technology (S&T) have been compiled systematically. The new aspect of this paper is that indicators, only some of which are well established, can be interconnected provided that appropriate limitations are recognised. A comprehensive indicator system for research and development in telecommunications is currently not available as far as the author is aware. Consequently, subjective expert assessments are essential for the present indicator systems to overcome incomplete links between indicators, their poor adaptation to one another and data availability problems . The statistical sections here are therefore supplemented by a series of personal discussions in various countries.     

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.     

Assessing collaborative, pre-competitive R&D projects: the case of the UK LINK scheme

The paper addresses the evaluation of outcomes of collaborative, pre-competitive R&D projects. It draws on some empirical analysis carried out on data and information gathered under the UK 'LINK' scheme, a programme supporting R&D collaborative projects and assessing collaboration outcomes. A new indicator of performance, based on the outputs of LINK projects, has been constructed. It provides a relative and quite consistent measure of performance for making comparisons among different LINK projects. However it does not correlate with the more subjective grade applied by LINK's own management. For further improving evaluating mechanisms, more attention should be paid to the benefits that universities and companies as well as governments are drawing from R&D collaborations.     

Performance monitoring in R&D projects

Project Management Systems can use a variety of tools to model and visualise project status. This paper discusses the application of an integrated approach for project modeling and proposes a new graphic tool called PACT for evaluation of project status. An integrated performance monitoring system comprising many tools, including PACT, was used successfully with multiple advanced technology projects within the Indian Guided Missiles Development Programme. The approach provided a better insight into the status and problems of projects, and enabled management to initiate the most appropriate actions towards better performance.     

Management by Objectives in R&D

Abstract . There is considerable confusion about the meaning of the term management by objectives and of the appropriateness to the R&D environment of the various procedures which many organizations have adopted under the general heading of MBO. This short paper reports on a pilot study of five organizations, carried out in order to obtain information about the use, or otherwise, of MBO.     

In-house R&D management development — strategy and implementation in a major government R&D agency

Abstract
The paper describes the experiences of CSIR in developing an in-house capability and implementation process of R&D management development programmes. The conceptual approach of the laboratory-based R&D management development programmes is described. Different phases in the process of implementation are presented along with the case studies of recent training programmes in two different laboratories. Some of the key aspects of the training programmes —- successful implementation, relationship with policy-making, and improving R&D performance have been examined. The role of international co-operation in R&D management development is suggested. The paper also discusses the future prospects of R&D management development programmes in the country.     

Heterogeneity in R&D cooperation strategies

We explore heterogeneities in the determinants of innovating firms' decisions to engage in R&D cooperation, differentiating between four types of cooperation partners: competitors, suppliers, customers, and universities and research institutes (institutional cooperation). We use two matched waves of the Dutch Community Innovation Survey (in 1996 and 1998) and apply system probit estimation. We find that determinants of R&D cooperation differ significantly across cooperation types. The positive impact of firm size, R&D intensity, and incoming source-specific spillovers is weaker for competitor cooperation, reflecting greater appropriability concerns. Institutional spillovers are more generic in nature and positively impact all cooperation types. The results appear robust to potential simultaneity bias.