Determinants of increasing R&D complexity in affiliates of manufacturing multinational corporations in the UK

The aim of this paper is to evaluate the technological trajectories of the UK subsidiaries of manufacturing multinational corporations as measured by changes in their R&D complexity over a five year period. The data was gathered from a postal survey of 500 randomly selected subsidiaries in the UK; of the respondents that had been established in Britain for at least five years, 16 were found to demonstrate decreasing and 48 increasing complexity of R&D activities. These 64 firms were compared across a number of strategic variables, and a powerful logistic regression model developed that predicts technological trajectories with great precision.
The key variables in the model were differences (over five years) in sales volume, decision making autonomy about human resource matters in the subsidiary, sensitivity to the needs of sister subsidiaries when developing new products, heterogeneity of the subsidiary's markets, and the degree of localization of certain control functions. The central lesson for the subsidiary R&D manager is that HQ undertakings about R&D strategy as it concerns the subsidiary may be fairly accurately evaluated via the model and its five strategic variables.     

Determinants of the foreign R&D locational decision in the pharmaceutical industry

Locational determinants are an important input into any internationalisation process, but they are difficult to rank and measure. This paper describes an attempt to do both in the arena of the international pharmaceutical industry. In particular, the dispersal of R&D activities to six target countries (US, UK, West Germany, France, Italy, Japan) is examined using thirty location-specific factors which are analysed in detail. In addition, indicators of differentiation between the perspectives of US and European firms are derived.     

The co-production of value in digital,university–industry R&D collaborative projects

In the context of R&D collaborations between universities and industry, this study investigates the co-production process and the contextual elements that shape it. We develop a conceptual framework that builds on the service-dominant logic perspective that value propositions emerge from the interaction between co-producing parties and the integration of resources. Specifically, the framework explicates how individual, organizational, and external factors shape the type of interactions and the platforms used, the availability and use of operand and operant resources, and the organizational and individual outcomes sought in R&D collaborative projects. We investigate the interplay among these factors through group interviews with UK industry practitioners and university researchers in the context of digital research projects. The types of interaction, resources, and outcomes sought that characterize successful R&D collaboration are revealed, and the contextual aspects that enable, facilitate, block, or create barriers to successful R&D collaborations are identified. Finally, we propose five practical principles for the successful development of collaborative R&D projects within the university–industry context.     

Management of European fast reactor R&D

Since 1984 government-funded fast reactor R&D in France, Germany and the UK has been run as a collaborative activity, and since 1988 as a unified programme in support of the design and construction of the advanced European Fast Reactor. This paper describes the international management structure which has been set up, and the means used to control the work. It is written from the point of view of those engaged in the project, and makes no attempt at a formal analysis of the structure.
The main difficulty is that control of funding remains with the three governments. The R&D programme has to be managed so that it meets the needs of each government separately as well as the designers' requirements.
To start with the management structure was excessively bureaucratic, but it has become more flexible and efficient. This has happened as the initial nationalistic suspicions have broken down, and the staff engaged in the work have learnt more about each others' ways of working so that an atmosphere of trust and inter-dependence has grown up.
(This paper was written before the changes in UK policy on fast reactor development were announced in November 1992.)     

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.     

R&D project selection and scheduling for organizations facing product obsolescence

Research and development is very crucial in an organization that faces rapid product obsolescence. Our thesis is that R&D project scheduling and resource planning should be born out of the optimum product launch plan which, in turn, should be in adherence to the growth rate targeted by the organization. Such an approach would ensure that the R&D activities of the organization are in tune with the Organization's goals. The absence of such coordinated R&D planning would hamper the productivity and profitability of the organization. This paper attempts to develop a methodology and model that would enable the streamlining of R&D project schedule. A real life case application has also been illustrated.     

Passing the food and agricultural R&D buck? The United States and China

The global geographical balance of food and agricultural R&D spending is shifting, characterized by a declining U.S. share and a rising middle-income-country share, propelled heavily by the rapid rise of spending in China. Based on our newly compiled data, we estimate that China now outspends the United States on both public and private food and agricultural research on a purchasing power parity basis. The public-private orientation of the research has also changed markedly, with the private sector now accounting for around two-thirds of the food and agricultural R&D spending total in both China and the United States. Our estimates indicate that China’s private sector tilts heavily towards post-farm R&D activities, whereas the U.S. private sector is split more evenly between on-farm and post-farm spending. While the intensity of Chinese investment in food and agricultural R&D (relative to agricultural GDP) is beginning to grow, it still lags well behind the food and agricultural R&D investment intensities of the United States and other higher-income Asian countries (e.g., Japan and South Korea). The development regularities we reveal in the longer-run trends are indicative of future R&D investment patterns with potentially profound long-run implications for the size, shape and accessibility of the global stocks of scientific knowledge that underpin food and agricultural sectors worldwide.     

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.     

Organization of industrial R&D on a global scale

Although the globalization of industrial R&D processes has increasingly attracted management scientists and considerable work on R&D internationalization has been done since the 70s, important problems in organizing geographically distributed R&D sites have not yet been resolved. This analysis is based on 165 interviews in 31 technology-based multinationals from Switzerland, Germany, USA, and Japan conducted between 1994 and 1997. We describe the extent of R&D internationalization, its key drivers and principal impediments. Two trends are identified: (i) a geographic concentration on leading technology centres, and (ii) a tightened coordination of R&D units. Overlaying structures, superimposed to regional and functional structures, play a central role in overcoming current deficits in global R&D management. Organizational constituents of this structure are technology offices (Schering), technology management as a competence center (Schindler), central project offices (IBM), central project management (Bayer), project oriented career development (Bosch), virtual project management departments (Roche), and cross-cultural job rotation (ATR).     

Changes in the strategic management of technology: results of a global benchmarking study

This contribution analyses main changes in the strategic management of technology of the world's most technology-intensive companies from western Europe, North America and Japan. The results presented here are based on a literature review and a survey which show the following main results: first, R&D and technology have become key cornerstones of corporate and business strategy. Second, there is a growing tendency to acquire technology from external sources throughout the sample. Third, internationalization of R&D plays a very important role in the strategies of the large companies investigated and the data shows that it will certainly gain further momentum. However, internationalization of R&D is confined to the Triad regions and is not 'global'. Based on our analysis, cornerstones of a future generation of R&D/technology management are developed.     

The R&D/Production interface in four developed countries

The relationship between company R&D and commercial performance, if any, is the subject of much discussion and little measurement. One view (Bisio and Gastwirt 1979) is that meaningful quantitative generalisations on the value of R&D to companies cannot be made.
A later study (Bergen 1983) introduced quantitative methods by creating a series of hypotheses. These were tested by scoring related variables and analysing the data for correlations and population differences. The study was confined to one industry to approach like for like comparison as closely as possible.
The results encouraged the extension of the study to include Japan (Bergen & Miyajima 1986) and the USA. The present paper reports on the four country quantitative comparisons. Among other indications, the findings support the view that national culture is an important factor in both methods and results and that there is a correlation between R&D investment and productivity.     

Firms' open innovation policies,laboratories' external collaborations,and laboratories' R&D performance

The value of the open innovation approach is now widely recognized, and the practice has been extensively researched, but still very little is known about the relative impact of firm‐level and laboratory‐level open innovation policies and practices on R&D performance. This study attempts to measure that impact by analyzing a sample of 203 laboratories of Japanese firms located in Japan. It examines simultaneously the effects of firm‐level open innovation policy and laboratory‐level external collaborations on laboratory R&D performance. The study aims to go beyond a general understanding of the importance of open innovation; it shows how an open innovation policy can have a positive and significant effect on collaborations between a laboratory and local universities or business organizations. The results also show how an open innovation policy can contribute to the laboratory's R&D performance by facilitating external collaborations by the laboratories. It demonstrates how these factors affect R&D performance in different ways, depending on the type of R&D tasks. Our findings suggest several theoretical and practical implications in the field of R&D management.     

Career paths, technological obsolescence and skill formation: R&D staff in Britain and Japan

This paper examines how scientists and engineers working in industrial R&D cope with the pressures of business and technological change and develop their careers. The data is drawn from a survey of nearly 1000 R&D staff working in large industrial corporations in Britain and Japan. Cross national comparisons are used to explore similarities and differences in coping strategies and in the human resource management challenges for companies. Particular attention is given to the problems of potential mismatch between RBD staff career orientations and available career opportunities.     

R&D: Its Relationship to Company Performance

Decisions made by management today on investment in research and development can influence the viability and growth of a corporation into the 21st century. Graham Morbey reports on results of this study of R&D spending of major US companies for the ten-year period 1976 to 1985, including possibly controversial inferences concerning the relationship between R&D and company performance. He finds a strong association between R&D spending and subsequent growth in sales. However, he detects a threshold R&D funding level which must be exceeded if R&D is to contribute to future sales growth. The study shows little correlation between R&D intensity and growth in profitability. Also, it is apparent that sales growth and increasing profitability do not lead to increased allocations for R&D in most industries.     

Clustering and the R&D management of high-technology small firms: in theory and practice

Much of the policy assistance for high-technology small firms (HTSFs) over recent years has been directed at encouraging their research and development (R&D) collaboration through local networking and technology transfer. Following a consideration of why HTSFs are formed, and how they perform R&D in order to cope with the competitive environment, this paper explores the value of external collaborative R&D to internal R&D management, inside geographically concentrated incubators, science parks or clusters. It is concluded that, although R&D collaboration with external partners occurs in limited instances, much HTSF R&D is highly confidential, competitive and wholly internalised. This tendency, as far as it relates to R&D management, is significant in that it minimises the likelihood that local management collaboration between co-located firms will improve the performance of R&D projects.     

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.     

Transformational leadership and gatekeeping leadership: The roles of norm for maintaining consensus and shared leadership in team performance

This study focuses on shared leadership in Japanese R&D teams. The effects of both transformational and gatekeeping leaderships of formal leaders on shared leadership are examined. Moreover, the effect of shared leadership on R&D team performance is examined. Hypotheses are tested with a sample of 654 researchers working in 119 R&D industrial research teams in Japan. Results show that transformational leadership has a negative effect on shared leadership through the norm for maintaining consensus such that it positively influences the norm, which in turn negatively influences shared leadership. In contrast, gatekeeping leadership has a direct as well as an indirect positive impact on shared leadership through the norm for maintaining consensus such that it negatively influences the norm, which in turn negatively influences shared leadership. In addition, this study finds that shared leadership positively influences R&D team performance. These results suggest that leadership displayed by team members and that by formal leaders significantly influences team performance. The results are discussed in the context of the unique Japanese work environment.     

Family Ownership and R&D Intensity in Small‐ and Medium‐Sized Firms

Research was largely consistent in predicting a negative relationship between family ownership and research and development (R&D) intensity until Chrisman and Patel, using a behavioral agency model (BAM), called this general assumption into question. They argued that publicly owned family firms typically invest less in R&D than nonfamily‐owned firms. This behavior may however be reversed if economic performance levels are below family aspirations or if family long‐term goals, such as pursuing strong transgenerational family control, are highly valued. While most researchers, like Chrisman and Patel, primarily focused on large listed firms, more research on the relationship between family ownership and R&D intensity in privately held small‐ and medium‐sized enterprises (SMEs) is required. This is because firm size can play an important role in understanding the innovation management behavior of firms. Building on the BAM perspective, in the present paper it is argued that Chrisman and Patel's results can be extended to the context of SMEs, albeit with one important specification: the relationship between family ownership and R&D intensity is likely to be contingent on the way the family has invested its wealth. Specifically, it is contended that in the context of SMEs, where goals are more fluid and mixed, when there is a high overlap between family wealth and firm equity (i.e., most of the family's wealth is invested in the firm) the relationship between family ownership and R&D intensity is negative because of the family owners' greater desire to protect their socioemotional wealth (SEW). However, if the overlap between the family's total wealth and single firm equity is low (i.e., firm equity is just a small part of the total family wealth), the relationship between family ownership and R&D intensity is positive as the low overlap between family wealth and firm equity reduces the family's loss aversion propensity. In such a situation, family ownership is likely to foster R&D intensity because of the long‐term orientation of family owners that increases the family firm's propensity to bear the risk of investing in R&D activities. The hypothesis is tested and confirmed in a study of 240 small‐ and medium‐sized firms based in Italy. The paper contributes to the literature in several ways. First, adding to the literature on innovation management and R&D intensity, it increases the understanding of what drives or inhibits R&D investments in SMEs when a family is involved in the ownership of the firm. This is particularly important because research on innovation management, as well as research on R&D intensity in family firms, is primarily focused on large firms and much less on SMEs. Second, the study complements arguments from prior research on the correlates of R&D intensity in large listed firms, showing that the BAM and SEW perspective offer a theoretical framework that is also able to illustrate the complex nature of innovation management in the context of SMEs. Third, the study contributes to research on the effects of family ownership on the general functioning of a firm. In particular, it provides new insights into how family ownership may affect R&D intensity.     

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.     

Content validation of a measure of R&D effectiveness

The overall purpose of this paper is to analyse the content validity of a tool for measuring research and development (R&D) effectiveness in industry using an approach known as scale or construct validation.
Since a large number of indicators is needed in order to measure this concept, and it is often difficult to find qualitative measures that would provide more information than quantitative measures or purely numerical magnitudes, we have constructed a scale that enables us to create a multiindicator to measure R&D inputs, processes, outputs and results. This multiindicator also enables us to group together all the relevant data obtained from the R&D management literature, which we then validate by consulting the opinion of experts from two firms that are very active in R&D and we have consulted two more nationally recognized Spanish researchers on R&D.