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.     

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.     

R&D 'programmes-competencies' matrix: analyzing R&D expertise within the firm

The author suggests that the systematic identification of a firm's technologies opens up the possibility of evaluating, protecting, optimizing, enriching and exploiting these technologies to the full. A firm's technologies fall into two parts: those embodied and exploited in current operations and those evolving from the collective competencies of its R&D staff. The author's aim is to evaluate and describe the firm's R&D competencies.
The identification of R&D competencies proceeds in three steps: tracing the background of the current and past programmes, constructing a programmes/competencies matrix, and deriving an expertise profile. The construction of the matrix is the key activity and requires much care in its execution, if competencies are to be properly defined and truly existing, and if it is to be exhaustive. The author sketches a procedure for constructing a matrix and discusses problems of implementation and draws attention to some of its limitations.
The author claims that such an inventory of expertise could improve the efficiency of the use of the R&D resource, identify a laboratory's strengths and weaknesses, direct R&D into hitherto neglected channels, assist individuals to identify and evaluate their own expertise, justify obtaining funding for building expertise in shortage areas. The method should be considered as a starting point to formulate appropriate strategies to gain access to technology.     

Global R&D management

Abstract
Global R&D management, the management of company R&D effort distributed over different countries, a task that concerns multinational firms, has not been widely studied. The authors have therefore carried out in-depth studies of global R&D conducted by 7 European and 15 Japanese companies. Their objective was to identify 'best practice' and so construct a framework for future research.
The authors' conclusions are as follows. Globalisation, that is decentralisation of R&D, has become a necessity for multinationals as a result of the localisation of competition, of product life becoming shorter than development time, and the need to locate laboratories near sources of new technological know-how.
Because foreign acquisitions often lead to the acquisition of laboratories, questions are raised about how best to integrate them with the administrative practices of the 'home' organization, whether to reorganize them or to close them down. When it is necessary to set up a new foreign-based laboratory deciding its exact location will require the weighing of factors such as whether the activities are to be market or process oriented, where on the R to D scale the activities will be placed, and how far direction of the laboratory's programmes and work will be decentralised.
Global management also demands special attention to the building of an open communication network among the laboratories, the best form of which has yet to be determined. The main concern in human resource management will be how to select and develop an internationally oriented management corps and how to train R&D professionals to communicate across sites.
If globally dispersed R&D laboratories are to be most effectively used then a new framework for their management needs to be developed.     

Successful integration of R&D functions after acquisitions: An exploratory empirical study

Do the ‘grand’ strategic context characteristics of an acquisition (e.g., business relatedness of buyer and target) deter-mine the integration success of R&D functions after a takeover? Are acquisition management interventions (i.e., the way in which the integration process is man-aged) the key levers shaping integration success of R&D functions after a change in corporate ownership? Little non-anecdotal empirical data are available to answer these questions. Therefore, they were addressed with a sample of 92 acquisitions between German firms in 1988. Overall, use of management interventions which were designed to promote learning opportunities and reduce uncertainty for acquired employees (e.g., small group meetings to exchange information) but also degree of centralization of strategic R&D decisions in the hands of the acquirer were significantly positively related to integration level of R&D functions of both firms after an acquisition. With the exception of relative size of acquiree, strategic acquisition context characteristics were not directly related to R&D integration success. These characteristics may not be as important in shaping R&D integration success as management practitioners and scholars have thought.     

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 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.     

Improving R&D/Marketing relations: R&D's perspective

Abstract
Successful product innovation hinges on close R&D/marketing relationships, especially in technology-based organizations. However, there is evidence that linkage problems are common and when they are not overcome failure is the usual result.
R&D's perspective on what R&D, marketing and senior management can do to improve their relationship with marketing is presented. The recommendations are based on suggestions from R&D directors involved in new product development efforts in 83 technology-based companies. Also presented is how the need for integration has changed over time and where it is going in the future.     

A comparative analysis of R&D project evaluation methods

A large number of methodologies for Research and Development (R&D) project evaluation have been developed and reported in the literature over the last few decades. Almost all of this literature focused on the mechanisms and underlying theoretical foundation on which the evaluation methods are based. Very little attention has been paid to the effectiveness and suitability of the techniques, especially a comparison of the techniques. This paper presents a comparative study on a number of classes of R&D evaluation methods based on the Analytic Hierarchy Process. We look into the various factors and characteristics of R&D evaluation methods that affect their suitability. A sensitivity analysis was also carried out to determine the critical factors.     

Analytical Instrument R&D Management

Abstract . The paper describes briefly some of the problems faced in the management of R&D in the British Scientific Instrument Industry and an opportunity of re-organization following the merger of several small companies.
The reasons for a hybrid rather than a project orientated or functional organization are given, with special reference to economies of standardization and flexibility of resources resulting from size. The method of resource allocation and project control is outlined and some qualitative conclusions on the results of this approach are drawn.     

A portfolio–evaluation framework for selecting R&D projects

This study aims to form the basis for constructing a framework for evaluating alternative portfolios of R&D projects. This study provides an extensive literature review on portfolio selection. Most of the existing studies deal with the portfolio selection problem by evaluating individual projects and then seeking ways to combine them for an R&D portfolio. However, the combination of individually good projects unnecessarily constitutes the optimal portfolio. In particular, this study discusses three portfolio effects: (1) the difference between the preference for the portfolio as a whole and the preference for the projects, (2) the interrelation among projects, (3) the size of portfolio selection problems. This study develops a three–phase framework for evaluating R&D portfolios and proposes a new taxonomy of the portfolio attributes (i.e. independent, interrelated, and synergistic). This study concludes with a discussion of future research, directed toward increasing the applicability of portfolio–selection approaches for managing R&D portfolios.     

Managing innovative R&D teams

Successful R&D groups not only generate innovative ideas, but also transfers these newly created concepts through the organizational system for economic gain. While innovation is not a random process, managers often argue that R&D performance is hard to measure and even more difficult to manage. An exploratory field study into technology-oriented R&D environments determines the principle factors that influence innovation-based performance of R&D teams. The results identify specific barriers and drivers to innovative team performance and provide insight into the type of an organizational environment and managerial leadership that is conducive to innovative R&D team performance. The data further suggest that many of the performance variables have their locus outside the R&D organization. Yet, managerial leadership style, both at the R&D team level and at senior management, has significant impact on creativity that ultimately affects R&D performance.     

The allocation of R&D resource

Abstract
The allocation of R&D resource in a multi-business organisation is often based more on current operating performance than on the relative potential for technological development of the businesses. The approach suggested in this paper attempts to overcome these problems by linking R&D allocation very closely to business strategy. The two key concepts are technology leverage, i.e. the extent to which technology can change the business environment in an industry to yield competitive advantage, and business leverage i.e. the current competitive strength of an individual business within an industry. Where technology leverage is weak, competitive advantage will be mainly dependent on factors other than R&D and it is suggested that levels of R&D effort at or below 1 % of turnover are appropriate. Where technology leverage is strong, R&D can be effective in maintaining strong business leverage by achieving technology mastery or in transforming a weak business position by creating a technological discontinuity. R&D intensities ranging from 3 to 15 or more % of turnover are thought to be appropriate in these cases. This framework can be used for policy debates on R&D allocation, for example whether the R&D allocation is appropriate for the business strategy or whether R&D could spearhead a more expansionist business strategy. The framework has been successfully used in ICI Chemicals and Polymers Limited during the annual R&D budget process.     

Towards networked R&D management: the R&D approach of Sonera Corporation as an example

In this paper the authors delineate the challenges of a dynamic environment to R&D management. The authors build on most recent ideas, such as the dynamic capability view of the firm, as strategic foundation for modern R&D management. Collaboration is emphasized as a meta-capability for innovation. These ideas are merged into a 'Networked R&D Management' approach that emphasizes internal and external collaboration networks as critical for companies operating in a dynamic business environment. The approach is illustrated with ICT industry as an example. The implementation of Networked R&D Management is reflected in the illustrative case discussion of R&D management of Sonera Corporation.