A company model for research and development

A company model is presented which may be used to assess the effecton future company performance of the level of investment in research and development. A distinctive feature of the model is the postulation of research return curve which relates the available return on potential new capital investments to the amountof capital invested and the size of a research pool. The latter is related to past R & D expenditure. It is shown how the research return curve may be adjusted to represent different types of industry and how a suitable form for this curve may be derived from company records. Examples are given of the use of the model for sensitivity and optimization studies.     

Project selection in Post Office telecommunications R&D

In an industry in which the benefits of R & D are often difficult to quantify, numerate processes for the selection of projects and portfolios are of limited usefulness. The processes that are used provide formal means, necessary in a large organization, to enable managerial judgment at an appropriate level to be applied to both project selection and the balance of the portfolios.     

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

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. 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.     

Methodology for increasing the adoption of R & D project selection models

Although some studies and experiences have shown that R & D project selection models can be potentially useful decision aids, their adoption and routine use is not widespread. This lack of usage may be a consequence of the lack of attention which model builders have traditionally given to the prevailing adoption attitudes of R & D managers. A design methodology centering around the measurement of adoption attitudes has been developed and used by the authors. The methodology consists of procedures for analyzing the organizational climate relative to project selection model usage, developing an acceptable model form relative to the organizational climate, and inducing the adoption of this model form within the climate. Three case applications of the methodology are described in which negative-to-positive shifts in adoption attitudes occurred and project selection models were adopted for long-term use. These results indicate that the use of this general methodology may lead to increased formal adoption and widespread usage of project selection model forms in R & D.     

Three-dimensional representation of company business and investigational activities

This paper describes a management aid devised to illustrate the inter-relationships between present company business activities and the investigational activities of the various company R&D functions. It is based on the- construction of a three-dimensional model in which the raw material, process and market parameters are the axes. Use of the model can facilitate project definition and selection in R and D departments and can be extended as a management aid in studies of R & D resource allocation and acquisition studies.     

R&D Project Selection Strategy: an empirical study in Spain

The author has investigated the role played by project selection methods in defining a firm's technology strategy, as exemplified by a sample of innovative companies in Spain. The information was collected by a combination of questionnaire and interview with key personnel.
The author was able to classify strategies into four groups: (1) a planning strategy, essentially a negotiation comprising top-down and bottom-up elements; (2) an economic strategy in which a large number of economic criteria set in advance by top management are used to evaluate projects; (3) a market strategy in which R&D is seen more or less as an adjunct to the Marketing function, which defines the products needed and negotiates the programme with top management; (4) a technical strategy, used in circumstances in which technological innovation is essential and in which, therefore, economic factors take a subsidiary place.
The author's data show that in companies operating a planning strategy project selection methods of various, perhaps ad hoc kinds play a key role in reaching a company consensus. For those using an economic strategy the selection criteria are predetermined and selection methods inflexible. In the case of the market strategy, evaluation methods are used solely to help to rank projects prior to selection. Firms employing the technical strategy clearly base their decisions purely on the technical merit of the various projects put up for implementation.
The paper includes information on the types of selection method used, broken down by company size and other similar criteria, and comparisons with practice in the USA, France and some other countries.     

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.     

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.     

The changing face of research anddevelopment in the public sector

This paper examines the changes that have occurred in the management and scale of R & D, in the contextof the'gas industry's experience. As a resultof the discovery o f North Sea gas and new and expanding operations, R & D has become larger, more central, and thus more integrated into and accountable to the organization as a whole. This has resulted in greater centralization and planning administered according to the ‘sponsorship’ principle. These changes have highlighted the problems of R & D choice and the comparison of commercial and non-commercial objectives in a public sector industry. The unique constraints under which nationalized industries operate and their commitment to the ‘public interest’ as well as to commercial goals, are discussed. These bear upon the way in which R & D decisions not amenable to cost/benefit analysis (such as the balance between long and short term work) are made. It is emphasized that these decisions are made by the industry as a whole and that R & D must thus be seen to be complying with industry objectives. The example of British Gas R & D Planning is used to show how ‘sponsorship’ operates and its values for R & D and the restof the industry. Comparison with other public sector industries indicates that there is no one great system for R & D and that its administration is a function of the history, technological characteristics, and present situation of the industry. These imply different procedures appropriate for the innovation process within the Industry. The role of British Gas within a national energy policy is discussed. The separation of the fuel industries affects the assumptions on which R & D plans are made and thus the degree of uncertainty inherent in all R & D planning. This raises interest- ing questions about the degree of flexibility possible in defining each industry's own objectives.     

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.     

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.     

Effects of R&D policy choice on accounting performance and market value

Using primary data that was gathered from the annual reports of companies listed in the Chinese Stock Exchanges, this study analyzes and compares the different effects of R&D policy choice on their accounting performances and market values. For the period 2007 through 2014, the results show that different R&D policy choices provided different implications in firm value and firm strategy to the market. Specifically, the firms choosing to capitalize their R&D investments have higher market value, implying that the strategy was focused on sustaining their long-term development. On the contrary, the companies selecting to expense their R&D expenditure have higher accounting performance and the focus was on improving short-term gains. The results of this study suggest that the policy choice on R&D capitalization and expensing is a trade-off result between the accounting performance and the market value of a firm.     

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.     

Controlling R & D projects by networks

Abstract . This paper discusses the use of network analysis in the management of a large scale engineering project carried out within the R & D department of an engineering company. It describes the use of precedence diagrams and concludes that these are simpler to use than the more commonly encountered PERT nomenclature. This method has now been extended to cover other projects in the R & D department and it is concluded that their successful introduction has been encouraged by the interest and support of top management.     

Project evaluation: Externalities must not be disregarded

While technology assessment is now usually performed at government level, methods proposed in the literature for evaluating single R and D projects by industrial concerns do not generally dedicate sufficient attention to possible externalities.
The authors propose a model for evaluating R and D projects based on the concept of 'limiting constraints' imposed by the different organizations or groups of interest with which the company interfaces.     

新药研发项目成本的评估方法分析

新药研发具有周期长、投资大、风险高等特点,怎样对新药研发项目成本进行合理地估算,对制药企业提供新药研发的战略决策、对政府部门新药的定价、风险投资公司实施新药投资计划都具有重要的价值。在美国,已经积累了20多年的新药研发成本的理论和实证经验,这些经验对我国目前的新药研发成本的估算、项目投资价值、新药定价等具有重要的参考意义。     

Variance-enhancing corporate entrepreneurship under deregulation: An option portfolio approach

The current study draws upon the real option portfolio theory to examine the relationship between deregulation and corporate entrepreneurship. We propose that a firm could respond to deregulation with variance-enhancing corporate entrepreneurial activities (CEAs), which increase the portfolio value of real options to exploit the upside opportunities and constrain the downside loss. We develop two dimensions of CEAs—frequency and diversity—to capture the value of the option portfolio, and we propose that these two dimensions contribute to a company’s long-term equity return and innovation performance. We test these arguments with 526 Chinese listed firms in five innovative industries from 2001 to 2005, and we find significant support for our hypotheses. Our empirical findings and the option portfolio approach carry important implications for entrepreneurship theory and policy. The CEA portfolio could be a useful tool to configure and allocate strategic investments proactively.     

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 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.     

Valuation of venture capital investments: empirical evidence

Using the valuation data of 421 US venture capital transactions and 176 initial public offerings, we test a simple binomial valuation model in modelling the risk‐return profiles of venture capital investments. We find that the model is consistent with the previous knowledge on the risk‐return profile of venture capital investments. The results also confirm the hypotheses that early‐stage ventures have higher implied risk and implied volatility of the returns than more established ones.
Additionally, we analyse the predictive power of the binomial pricing model and compare it to corresponding 'traditional' models that utilize risk‐adjusted rates of return. We construct one‐step ex post return forecasts for the sample ventures and compare the results to the actually realized returns. The findings indicate that the fit of the binomial model is better than the fit of the corresponding 'traditional' models.
The results imply that option‐based methods have empirical relevance in the pricing analysis of privately held companies and projects. Furthermore, practitioners can benefit from using these methods when analysing the risk‐return structure of private companies and R&D projects.