Budgets for research and development: an empirical study of 69 Swedish firms

Questionnaires were sent out to 124 large Swedish firms, asking how they determined budgets for research and development (R & D) and who decided about the size of these budgets. 94 firms answered and 69 of these undertook R & D.
It was found that, as a rule, firms decide upon individual projects and do not specify in advance a fixed level for the R & D budget. The decision about individual R & D projects and/or the R & D budget was most frequently made by the president of the company.
The implication of our results for various kinds of research on the economics of R & D are discussed.     

Steady state and portfolio concept in R & D management

This paper describes a new approach for closing the gap between the tools for strategic goal management and operational management in Pharmaceutical R&D. The strategic level may concern with expectation of sales, rising from new products and with total R & D budget. The operational level concerns with project selection, project and multiproject management problems, solution of project related technical problems, determination of the size of the various functions and the functional management. This new method combines the R & D project portfolio management with a steady state concept allowing the attainment of a constant number of projects under development and a continuous full use of the capacity available.     

The quality of subjective probabilities of technical success in R & D

Employing various measures for the quality of subjective probabilities of technical success in R & D a detailed analysis of 4 data sets taken from different R & D organizations shows that the probability assessments roughly specify the populations to which R & D projects belong, but are extremely unreliable indicators of the eventual outcome of individual activities. Unintentional errors and conscious biases are identified as accounting for the unsatisfactory quality of subjective probabilities in R & D. Finally, some measures are suggested which might improve the quality of the probability assessments.     

R & D and the company's requirements

Numerous models have been put forward in the literature for the selection and evaluation of projects, many of which are based on optimizing the return on investment by the company in R & D projects. This is a noble aim but in practice the financial data available are often of dubious accuracy and so many other factors are involved in actually adopting a portfolio of selected projects that project selection often becomes a theoretical exercise. It is suggested that the selection of projects is in essence the adoption of a strategy which is within the policy and long-term aims of the company and also within the policy and scientific development of the R & D part of the company. Such a strategy is usually sub-optimum for both the company and the R & D division, as it is a compromise between a desire for high pay-back investments by the company and the maintenance of a scientifically balanced R & D involving some long-term, unknown return, investments. A method is currently being experimented with by Unilever Research which illustrates where conflicts arise between the policy of the main company and that of research, and assists management in arriving at a strategy which most closely fulfils the needs of both policies. Both the concept of the method and its practical use are described in this paper.     

Qualitative aspects of the evaluation and control of research and development projects

Decisions in research and development are usually based on a variety of data inputs. Some of these will be concerned with the returns offered by projects in money terms. Others will relate to more qualitative aspects of research work such as, perhaps, the establishment of a base in a new area of technology or the achievement of a stronger market position. This paper describes and illustrates how checklists may be used to assemble qualitative data for purposes of decision. These were formulated in an industrial R & D laboratory and the illustrative examples in the text make reference to real projects. The checklists described are an integral part of a comprehensive system of project evaluation and control in R & D which includes an analysis of the financial implications using net present value or discounted cash flow rate of return of the project risk, analysis and sensitivity tests. The detail of this part of the scheme is conventional and is therefore omitted from the paper.     

Innovative productivity and returns to scale in the pharmaceutical industry

This study shows that firms in the pharmaceutical industry experience decreasing returns to scale in R & D as the level of R & D expenditures rises. The paper presents the results of our study of the innovative output of 16 pharmaceutical firms over a 19 year period. Given the strong correlation between R & D budgets and firm size, our study suggests the wave of mergers in the industry may yield less innovative productivity than managers expect.     

Innovation through new ventures: new venture concept in BOC

During the last decade there has been increasing questioning in industrial firms of the value and returns from conventionally organized R & D particularly from central research organizations concerned with longer term innovation. This paper describes how one multi-divisional company, with a wide range of markets, has radically changed its Central R & D function to a Pilot Venture structure, with the object of greatly increasing its effectiveness. The main concepts involved in this ‘New Venture Secretariat’ are not new, but it is felt the particular approach used is novel.     

The lasting qualities of PERT: Preferences and perceptions of R&D project managers

This survey was conducted on the perceived popularity of PERT and PERT-type management systems; whether PERT'S applications were static, increasing, or decreasing, and whether its use was by choice or imposition. The extent of applications of PERT for managing various types of research and development (R&D) was examined with the view to ascertaining its individual popularity when applied to (a) basic research, (b) applied research, or (c) development projects. In addition, an inquiry was made into the estimated expense of PERT systems to plan and control projects as a percentage of the budget. The results of the survey are presented and discussed relative to various sizes of R&D organizations.     

SOLVING LARGE REPLACEMENT PROBLEMS WITH BUDGET CONSTRAINTS

Traditional replacement models assume unlimited capital. In practice, however, firms frequently use budgets to control their expenditures. Budget constraints necessitate that all replacement decisions be considered as a portfolio, creating a difficult combinatorial problem. In previous research, we developed a branch-and-bound algorithm for solving moderately-sized problems optimally. In this paper, we propose a dual heuristic for dealing with large, realistically sized problems. First, we solve the individual replacement problems ignoring the budget constraints. Then, we reduce, or eliminate, if possible, budget violations by solving a Lagrangian dual problem. The computational tests suggest that the effectiveness of the approach increases with problem size.     

A study of the diffusion of management concepts and techniques amongst R & D managers

The management of R & D has been the focus of a great deal of research and writing during the past decade. It is, however, by no means certain that these have produced a significant effect amongst R & D decision makers. This paper describes a study of the extent to which R & D managers are aware of management concepts and techniques. The subjects were 57 senior R & D managers from British and Continental organizations who attended courses at the Management Centre, University of Bradford in 1974/5. The study was conducted by means of a questionnaire and a 100 question forced choice Quiz. The paper suggests that knowledge of modern management thinking has, to date, made only a limited penetration into R&D.     

Prioritizing Project Selection

We consider capital investments under uncertainty. A typical approach to this problem, when the problem parameters are assumed known, is via a multi-knapsack model. This model takes as input annual budgets as well as the cost streams and profit—i.e., net present value (NPV)—of each project. Its output is a portfolio of projects with the highest total NPV, observing yearly budget constraints. We argue that such a portfolio fails to hedge against uncertainties in the budgets, the cost streams, and the profits. As an alternative, we propose a model that forms an optimal priority list of projects, incorporating multiple scenarios for these input parameters. We apply our approach to two sets of example projects from the South Texas Project Nuclear Operating Company.     

A simple model of R & D project dynamics

A simple dynamic model is developed that describes some of the important aspects of research and development projects. Its purpose is illustration of the applicability of dynamic modelling to understanding the key factors affecting R & D performance. The model recognizes the differences among real, perceived, and reported progress on the job. It also includes the effect of schedule pressures on productivity. Simulation results are presented that, among other things, illustrate the trade-off between meeting schedule and maintaining organizational stability, the effects of rapid problem detection and response, and the difficulties due to the intangible nature of R & D progress.     

The financing of R & D in some socialist countries of Eastern Europe

In the countries of Eastern Europe the financing of R & D represents a difficult problem in terms of economic scientific policy. In these countries it is not only a question of a simple apportionment of centrally-held financial means to subordinate institutions, but also one of supporting promising fields of science, protecting long-term and costly research programmes against risks and losses, and, above all, providing an incentive for R & D institutions to work out economically meaningful R & D results and translate them into economic practice. This last point is of particular importance in a system lacking a free market mechanism. A historical survey of the development of financing methods in the R & D field and of the numerous attempts to reform these methods will show the extent of the efforts made in Eastern Europe (whether successfully or not does not concern us here) to find an adequate solution to these problems.     

Private and social incentives to form R & D joint ventures

R & D patent pools induce individual firms to reduce investment in R & D, but are socially beneficial because they ensure greater competition in the post-innovation market. It is not usually optimal for all firms to combine in a single cooperative R & D venture. If R & D combinations are formed voluntarily by firms that seek to maximize their expected value, they will not, in general, adopt the socially optimal structure of R & D joint ventures.     

Factors for improving the level of knowledge generation in new product development

Globalization and other rapid changes in markets and technologies increasingly require companies to generate new knowledge in order to remain competitive. In order to innovate successfully, firms must generate knowledge faster than their rivals. This study develops and tests a conceptual model that focuses on how managerial controllable variables influence the level of knowledge generation in new product development. Based on literature and 'theory-in-use' field research in seven knowledge-intensive organizations, the authors developed research hypotheses and tested the hypotheses using data collected from 277 firms in high technology industries. The findings suggest that information technologies, organizational crisis, individual commitment, the R&D budget, and job rotation increase levels of knowledge generation, whereas lead user and supplier networks are negatively associated with the level of knowledge generation in new product development, and the influence of co-location of R&D staff is not significant.     

When Research Meets Development: Antecedents and Implications of Transfer Speed

This paper focuses on the organization of new product development in large, R&D‐intensive firms. In these firms, research and development activities are often separated. Research is conducted in dedicated research projects at specialized research labs. Once research results are achieved by research projects, they are transferred to business units for further development and commercialization. We investigate the speed whereby research projects transfer their first research results to business units (hereafter: transfer speed). In particular, we analyze the antecedents and performance implications of transfer speed. Based on data of 503 research projects from a European R&D intensive manufacturing firm, our results suggest that a fast transfer speed (as measured by the time it takes for a research project to develop and transfer its first research result to business units) is associated with a better research performance (as measured by the total number of transfers the research project generates). Moreover, we find that different types of external R&D partners—science‐based and market‐based partners—play distinct roles in speeding up project first research transfers. While market‐based partnerships (i.e., customers and suppliers) generally contribute to a faster transfer of first research results, science‐based partnerships (i.e., universities and research institutions) only speed up first research transfers of technologically very complex projects. Our results also show that early patent filings by research projects accelerate first research transfers.     

Equitable payment in the R & D function

This paper discusses the problems associated with constructing equitable salary structures for Senior R & D employees. The use of job evaluation and performance appraisal are both considered. It is suggested that the decision band method of job evaluation is particularly useful in this context and a case study of its application within the R & D division of a large manufacturing firm is presented. Job grading and salary structuring in terms of decision-making responsibility are demonstrated. It is argued that the decision band approach assists rational administration of R & D in a number of ways including analysis and, perhaps, restructuring of the function. Methods of rewarding individual performance and measuring career development within R & D are also discussed in terms of the decision band concept.     

A Note on Endogenous Spillovers in a Non-Tournament R & D Duopoly

The paper analyzes a simple non-tournament model of R & D where firms are engaged in cost-reducing innovation. It is shown that when spillovers of information are treated as endogenous firms never disclose any of their information when choosing their R & D non-cooperatively. Under cooperative R & D, firms will always choose to fully share their information, i.e., a research joint venture will operate with a maximal spillover value.     

The small- and medium-sized firm as a channel for technology transfer between nations

Managers of small- and medium-sized firms are often unwilling to enter into agreements with firms in other countries to share knowledge developed in their own R & D efforts. They see such arrangements as being primarily withing the normal activities of the larger companies and restrict their own participation to the local market. These smaller firms, however, have much to offer in new technological ideas. Managers willing to establish multinational ties can find them to be advantageous to home and host countries and to lead to greater success for their enterprise.     

The management of Army R & D projects

This study of the accuracy of cost and duration estimates for British defence R & D projects is based on an analysis of the records of 29 Army projects, initiated since 1960. The results are generally similar to American defence studies with which they are compared. The reasons for schedule slippages and cost escalations are examined and it is suggested that performance could be improved by more thorough project feasibility and definition studies and by a stronger project management organization.