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).     

The AI techno-economic complex System: Worldwide landscape,thematic subdomains and technological collaborations

Artificial intelligence (AI) is playing a major role in the new paradigm shift occurring across the technological landscape. After a series of alternate seasons starting in the 60s, AI is now experiencing a new spring. Nevertheless, although it is spreading throughout our economies and societies in multiple ways, the absence of standardised classifications prevents us from obtaining a measure of its pervasiveness. In addition, AI cannot be identified as part of a specific sector, but rather as a transversal technology because the fields in which it is applied do not have precise boundaries. In this work, we address the need for a deeper understanding of this complex phenomenon by investigating economic agents’ involvement in industrial activities aimed to supply AI-related goods and services, and AI-related R&D processes in the form of patents and publications. In order to conduct this extensive analysis, we use a complex systems approach through the agent-artifact space model, which identifies the core dimensions that should be considered. Therefore, by considering the geographic location of the involved agents and their organisation types (i.e., firms, governmental institutions, and research institutes), we (i) provide an overview of the worldwide presence of agents, (ii) investigate the patterns in which AI technological subdomains subsist and scatter in different parts of the system, and (iii) reveal the size, composition, and topology of the AI R&D collaboration network. Based on a unique data collection of multiple micro-based data sources and supported by a methodological framework for the analysis of techno-economic segments (TES), we capture the state of AI in the worldwide landscape in the period 2009–2018. As expected, we find that major roles are played by the US, China, and the EU28. Nevertheless, by measuring the system, we unveil elements that provide new, crucial information to support more conscious discussions in the process of policy design and implementation.     

A model of value assessment in collaborative R&D programs

This study examines the tasks, processes, and frameworks central to performance assessment in collaborative research organizations. The domain of the study is the partnered learning approach to research and development (R&D) management. The empirical results highlight relationships between context (center scale) and performance (value perceived by industry sponsors) in such R&D collaborations. Insights from this research are broadly applicable to the maintenance of alliances among firms involved in collaborative R&D and are generalizable to that context. Data gathered from a national population of 58 National Science Foundation (NSF) sponsored centers over a 3-year period reveal significant evolutionary patterns in the development of collaborative relationships. Successful industry university consortia leverage four core process relationships: (1) the creation of research capacity yielding advances in process and product knowledge; (2) technology transfer behaviors within the participants' organizations; (3) participant satisfaction with the outcomes; and (4) the continuity of industry sponsor support, i.e., commitment to the collaboration.     

Identifying technology trends for R&D planning using TRIZ and text mining

The current pace of technological development has forced many companies to invest significant capital and resources in research and development (R&D) activities. A systematic and efficient method of identifying technology trends and their evolutionary potentials can help companies guide their R&D planning and wisely allocate their R&D resources. This study proposes a framework combining the evolutionary trends developed by the Theory of Inventive Problem Solving, or Teoriya Reshniya Izobretatelskikh Zadatch (TRIZ) in Russian, with the visualization technique of text mining to systematically identify technology trends from patent documents. As technological information in patent documents is stored almost entirely in text format, the text mining method allows R&D personnel to efficiently identify technology trends and effectively conduct R&D planning. Utilizing text mining method on patents of magnetic random access memory (MRAM) systems and the underlying principles of TRIZ evolutionary trends, this study shows that MRAM includes 10 important technology trends. These trends have almost reached the evolutionary limit phase defined by TRIZ, which means that MRAM is fast becoming a mature technology. Therefore, for businesses that intend to acquire MRAM technology they do not possess, a wise R&D plan may be licensing the technology, buying the technology from others, or participating in a joint venture rather than using in‐house R&D.     

Research and development target‐setting difficulties addressed through the emergent method: technology forecasting using data envelopment analysis

The aim of this study is to provide a foundation for researchers and managers to discuss and resolve difficulties associated with research and development (R&D) target‐setting. While multiple studies mention the difficulty of R&D target‐setting, few have compiled reasons for these difficulties or addressed this issue in detail. This paper provides one of the first studies outlining reasons for R&D target‐setting difficulties through a literature review. It also provides an initial set of analyses and results after applying an emerging quantitative method, Technology Forecasting Using Data Envelopment Analysis (TFDEA), to illustrate these difficulties step‐by‐step to commercial airplanes. Results include determining the state of art in commercial airplane technology and technological rate‐of‐change variants in setting R&D targets.     

An assessment of science parks: Towards a better understanding of their role in the diffusion of technological knowledge

This paper examines the role of university science parks in fostering interorganizational technology transfers and technological development. We first try to contrast the development of science parks with the theoretical and empirical findings from scholarly work in the area of the management of technology. This theoretical context allows us to interpret and to discuss empirical data collected from Belgian and Dutch science park firms. The data collection mainly focused on the interactions of park-based firms with their external R&D environment. This analysis leads to two important findings: (1) the level of R&D activity at the tenants is rather moderate for most of the parks studied, and (2) the tension between 'regionalism' and 'internationalism' in contemporary R&D management.
In the wake of this second finding, arguments are presented to complement and even to change the focus from the 'miniature' R&D network which might develop on university science parks toward the 'R&D community' network holding together researchers working on a particular, interrelated set of scientific and technological problems wherever they may be located around the globe. Moreover, it is argued that a unified theory on the emergence and the development of new technologies is badly needed. Only if the dynamics underlying the development of a new technology are unravelled and better understood can technology policies, such as the ones involving the creation of science parks, be targeted more effectively.     

Performance measurement in R&D: exploring the interplay between measurement objectives, dimensions of performance and contextual factors

Measuring research and development (R&D) performance has become a fundamental concern for R&D managers and executives in the last decades. As a result, the issue has been extensively debated in innovation and R&D management literature. The paper contributes to this growing body of knowledge, adopting a systemic and contextual perspective to look into the problem of measuring R&D performance. In particular, it explores the interplay between measurement objectives, performance dimensions and contextual factors in the design of a performance measurement system (PMS) for R&D activities. The paper relies on a multiple case study analysis that involved 15 Italian technology-intensive firms. The results indicate that firms measure R&D performance with different purposes, i.e. motivate researchers and engineers, monitor the progress of activities, evaluate the profitability of R&D projects, favour coordination and communication and stimulate organisational learning. These objectives are pursued in clusters, and the importance firms attach to each cluster is influenced by the context (type of R&D, industry belonging, size) in which measurement takes place. Furthermore, a firm's choice to measure R&D performance along a particular perspective (i.e. financial, customer, business processes or innovation and learning) is influenced by the classes of objectives (diagnostic, motivational or interactive) that are given higher priority. The implications of these results for R&D managers and scholars are discussed in the paper.     

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.     

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.     

The externalisation of R&D activities and the growing market of product development services

Several authors in recent years have discussed the observed trend towards the externalisation of (part of) a firm's R&D activities. As a consequence, several companies have been created that provide innovators with technical and scientific services such as R&D contracts, laboratory testing services, technology consulting, industrial design, engineering.
The paper is based upon an empirical study which consists of (i) an extensive analysis, in which information has been collected (for about two hundred companies) on size, location and type of services offered; (ii) an intensive analysis, in which one case is studied in depth of a company providing product development services. Some conclusions have been drawn regarding the characteristics of the market of product development services and the management and organisation of companies operating in that market.     

New R&D management paradigms: rethinking research and technology organizations strategies in regions

The R&D management paradigms of research and technology organizations (RTOs) have been discussed in the past. Academics have analysed their strategic challenges in view of the new demands posed by new competitive environments for their SME clients. New innovation models proposed recently have captured the attention of policy makers. The objectives of this paper are to analyse these models in the case of a particular model of RTO: the R&D units in the Basque Country in Spain, launched with the aim of improving R&D and technology transfer efficiency. This paper is based on an empirical study of a group of specialized RTOs (R&D units) and its objective is to analyse a new paradigm of RTO and propose a model to identify the critical elements that influence performance and strategic alignment between R&D performers (RTOs) and their partners (in most cases SMEs).     

Managing for Creativity: back to basics in R&D

The author addresses the question of how to train R&D managers to encourage scientists to work more creatively. His studies of the preferences of R&D scientists show that they actually enjoy creating. He asserts that in the interests of increasing enjoyment the role of managers is to remove blocks to creativity, such as negative criticism, lack of time, lack of resources and lack of freedom. On the other hand too much freedom can attenuate the creative urge and the manager must be prepared to offer guidance and supportive consultation.
To help R&D managers towards an appropriate management style the author has devised and run creativity workshops structured around a new model that combines features of some well-known srtuational leadership models. He gives examples of how leadership styles can be adapted to address the problem of developing and leading self-directed and responsible subordinates.     

On the development and application of a self–organizing feature map–based patent map

Recently, the range of R&D management has expanded to include management of technological assets such as technology information, product/process data, and patents. Among others, patent map (PM) has been paid increasing attention by both practitioners and researchers alike in R&D management. However, the limitation of conventional PM has been recognized, as the size of patent database becomes voluminous and the relationship among attributes becomes complex. Thus, more sophisticated data–mining tools are required to make full use of potential information from patent databases. In this paper, we propose an exploratory process of developing a self–organizing feature map (SOFM)–based PM that visualizes the complex relationship among patents and the dynamic pattern of technological advancement. The utility of SOFM, vis–à–vis other tools, is highlighted as the size and complexity of the database increase since it can reduce the amount of data by clustering and visualize the reduced data onto a lower–dimensional display simultaneously. Specifically, three types of PM, technology vacuum map, claim point map, technology portfolio map, are suggested. The proposed maps may be used in monitoring technological change, developing new products, and managing intellectual property.     

Variety in the innovation process of UK research and development service firms

Research and development service firms (RDSFs) are a particular type of technology-based knowledge-intensive business services (KIBS). RDSFs provide clients with R&D services on a contract basis, and operate as knowledge intermediaries linking research and market. They are innovative in their own right, as well as supporting innovation efforts by their clients; they rely on their own innovation efforts to be competitive and to develop new value propositions for their clients. The present paper explores the innovation process in RDSFs, drawing on semi-structured interviews with founders and senior managers of 32 companies in the United Kingdom. Our findings suggest that RDSFs vary considerably in terms of their primary innovation drivers (i.e. whether they are mainly driven by market demands or by technological opportunities) and the outcomes they pursue (i.e. whether their outputs are mainly services to clients or a mixture of services and products and/or intellectual property). Four major orientations of RDSFs were identified: (i) technology-based innovation exploiters; (ii) science-focused innovation explorers; (iii) client-driven innovation integrators; and (iv) open innovation translators. This variety among firms normally belonging to the same, small subsector of KIBS, suggests the need for caution in generalising about behaviour in terms of such statistical groupings.     

Cost benefit and public policy issues

Abstract
The paper reviews the work done and conclusions reached on resource allocation to R&D in the public sector in the last twenty years, and examines what changes have been made in the field of R&D assessment. The paper is based mainly on the author's experience with the UK government's Programmes Analysis Unit (PAU) which was set up in the early 1960s.
The Unit's main remit was to examine and disseminate techniques by the use of which the benefit to the nation from possible R&D strategies, programmes and projects might be calculated. It was also called in to help review policy and carry out long-range forecasting. In the course of its existence — it was wound up in 1977 — it analysed many new techniques of analysis which have now passed into common use and took part in studies to support decisions at all levels from the macro-economic sector down to the individual project.
The author lists the benefits derivable from such analyses — helping to identify objectives, assemble total programmes, evaluate efficiency of technological transfer, carry out technology assessment and so on. But he warns of their limitations.
As for the present day, the author is unhappy about the importance given by the UK Government to the market as a test of value in decision-making about R&D, in so far as it leads to neglect of long-term issues and relies on uncertain causal relationships among critical inputs. Cost-benefit is adequate for dealing with short-term, small-scale projects. For larger projects with controversial long-term implications he advocates broader-based techniques such as multi-attribute analysis, which bring the interests of many parties into the judgment and take into account considerations such as the environment, finite resources and social     

Patent-based inventor profiles as a basis for human resource decisions in research and development

Profiles of inventors' technological competence are a valuable source of information for decision-making in research and development (R&D) management, e.g. concerning inventor assessment, human resource development and R&D team-building. In the following exposition, a new method of inventor profiling will be put forward, which is based in particular on semantic patent analysis and multidimensional scaling. First, in the course of semantic patent analysis, specialized software, equipped with a natural language processor, reads the patent text transferring the contents into a subject–action–object–format (SAO). The extracted SAO structures are then used to create similarity matrices for patents or patent sets, respectively, according to a specific similarity value. Subsequently, an inventor competence map can be produced by means of multidimensional scaling.
The benefits of this method for R&D-related issues in human resource management will be illustrated by the example of a German mechanical engineering company. Two distinct types of profiles were generated and tested: (i) the profile of a single key inventor and (ii) a profile of key inventor sets. The single key inventor profile gives information on the range of competence, i.e. the homogeneity or heterogeneity of a certain inventor's competences, providing far more detailed insights than resorting to bibliographic data like international patent classification (IPC) classes or citations, whereas the latter kind of profile establishes the position of a certain key inventor in relation to others, helping to highlight specific groups of inventors and their domains. These results are clearly apt to support human resource management.     

Factors affecting the management of interdisciplinary research in the pharmaceutical industry

The author uses the results of recent published behavioural research on team effectiveness as a framework to analyse the problems of managing R&D in pharmaceutical development. The research points to a large number of factors as having a potential impact on managing such R&D which is inescapably multi- or inter-disciplinary in nature. Some such factors may originate outside the team, some within. External factors include organizational climate, R&D decision-making environment, system maturity and organizational form (type of matrix); internal factors include span of responsibility of team members, disciplinary differentiation, task uncertainty, extent of fulfilment of Belbin roles and a significant requirement for flexibility of style on the part of the manager.
The author's conclusion is that achieving effective management of R&D teams in the pharmaceutical R&D environment requires attention to all these factors. The extent to which integration of different disciplines is achieved is symptomatic of the degree to which these factors are understood and attended to.     

R&D management through network mapping: using the Internet to identify strategic network actors in cooperative research networks

Most R&D management techniques to date have emphasized the immediate organizational context or the internal structure and process of the R&D project. Recently however attempts have been made at situating R&D management in a wider context of inter‐organizational R&D activities. This paper presents the technique of R&D network mapping as a means of providing strategic intelligence to the R&D manager. The paper backgrounds this technique with a discussion of the general issue and significance of R&D networks. A methodology for R&D network mapping is then exemplified by outlining how a network database of cooperating projects and institutes in the telecom research sector was built by utilizing the World Wide Web. Finally a number of suggestions are made as to how and when network mapping should be applied in strategic R&D management.     

Morphological analysis in agricultural R&D: A technologist's approach to the definition and economic evaluation of technologies

The research scientist, the planner, and the R&D manager require a methodology that can compose a wide range of technological options within a realistic production system context and subject these options to a comprehensive, multi-parameter economic analysis. A technologically-oriented approach to the generation and ex-ante assessment of technologies is developed for this purpose in an agricultural R&D context. The approach is based on morphological analysis, in which a production process is defined as a series of tasks each of which can be accomplished by one or more alternative techniques. The model is customized for any specific production system using information provided by technology experts. This information is received in the language of the technologist, structured in a way that promotes an holistic view of the system, and processed to answer the needs of the economic evaluator. The model has been well received by technologists in the analysis of about a dozen diverse R&D projects.