Strategic planning in public R&D organizations for agribusiness: Brazil and the United States of America

There is increasing evidence that public organizations dedicated exclusively to research and development (R&D) in agribusiness need systematic management tools to incorporate the uncertainties and complexities of technological and nontechnological factors of external environments in its long-term strategic plans. The major issues are: “What will be the agribusiness science and technology (S&T) needs be in the future?” “How to prepare in order to meet these needs?” Both Empresa Brasileira de Pesquisa Agropecuária (Brazilian Agricultural Research Corporation, Embrapa), attached to the Brazilian Ministry of Agriculture and the Agricultural Research Service (ARS) of the US Department of Agriculture (USDA) have developed a comprehensive strategic and operational planning process in order to answer these key questions in the 1990s. The main objective of this article is to present a comparative and preliminary analysis of concepts, methodologies, and processes utilized, and some results obtained by these public organizations.     

Venture capital: Structure and incentives

Venture capital is a major source of financing for firms in their early stages of development. Such businesses, especially in the high technology industries, are characterized by a high degree of uncertainty and asymmetry of information. In this paper we analyze the relationship between a venture capital organization (“capitalist”) and the initial owner of an entrepreneurial entity in which it invests (“entrepreneur”). We focus on the agency problems and derive a compensation system. In our model the capitalist provides a combination of equity and debt financing while the owner provides equity financing which serves as a signal affecting the beliefs (“optimism”) of the capitalist. The interesting result is that since the capitalist is assumed to be more risk averse than the entrepreneur, he is made to be more optimistic than the entrepreneur at the optimum.     

Control of SO2 emissions from power plants: A case of induced technological innovation in the U.S.

This paper investigates how the details of government actions induce innovation—the overlapping activities of invention, adoption and diffusion, and learning by doing—in “environmental technology,” products and processes that either control pollutant emissions or prevent emissions altogether. It applies multiple quantitative and qualitative measures of innovation to a case subject to several “technology-push” and “demand-pull” instruments: sulfur dioxide control technology for power plants. The study employs analyses of public R&D funding, patents, expert interviews, learning curves, conference proceedings, and experience curves. Results indicate that: regulation and the anticipation of regulation stimulate invention; technology-push instruments appear to be less effective at prompting invention than demand-pull instruments; and regulatory stringency focuses inventive activity along certain technology pathways. Increased diffusion of the technology results in significant and predictable operating cost reductions in existing systems, as well as notable efficiency improvements and capital cost reductions in new systems. Government plays an important role in fostering knowledge transfer via technical conferences, as well as affecting the pattern of collaborative relationships within the technical research community via regulatory changes that affect the market for the technology. Finally, the case provides little evidence for the claim that cap-and-trade instruments induce innovation more effectively than other instruments.     

Will low technology products disappear?: The hidden innovation processes in low technology industries

Political discussions and analyses have usually been devoted to an understanding of the development of high technology products, although low technology products have dominated the industrial structure of the Organization for Economic Cooperation and Development (OECD) countries. The important role of low technology products in these countries raises the question of whether we can observe a technological paradox in the industrial structure of the more advanced nations, the dominant role of this sector in spite of its competitive disadvantages because of high wages. Using the Danish packaging industry as an example, a central thesis in the article is that innovation processes are important in low technology industries. They are also often an integrated part of the marketing and production functions of the firm. The innovation processes in the low technology industries are therefore too complex for traditional R&D analyses to handle. The article points out that—especially in small firms—the “practical man” and his “tacit knowledge” play a very central role in both product and process development, and that low technology, even in the future, will play a central role in the industrial structure of the OECD countries.     

Modeling stochastic innovation races

We consider a firm moving towards a stochastic final destination to be chosen from a discrete set after a decision period. The decision period itself may be deterministic or stochastic. We assume the firm can move at variable innovation (R&D) speed associated with a monotone nondecreasing variable cost, and it can also stop and move anywhere. There is a fixed cost per time unit “carried” by the firm as well, associated with keeping at the knowledge (technology) frontier. We investigate various types of the firm's optimal trajectory in the R&D race during the decision period. The model is adapted and applied to racing behaviour in the Japanese telecommunication industry.     

A model of “coupled” technology transfer : A logistic curve approach

This article presents a mathematical model relating to the technology transfer problem. The origin of the problem stems from the existing trade-offs between the strategies of “technological progressiveness” and “static efficiency” employed by firms or countries defined as “leaders” and “followers,” respectively. The formulation of the model is based on the assumption that the technological development of a firm or a country follows a logistic growth curve when related to a specific technology. During the process of a “coupled” technology transfer, the development of the follower changes and its behavior is described by a first order nonhomogenous deferential equation. Different scenarios of the “coupled” technology transfer between the leader and the follower are being discussed.     

Dismantling the ivory tower: The influence of networks on innovative output in emerging technologies

In this article we examine how R&D networking affects an organization's innovative output. Using empirical data on 419 research organizations in transgene plant research over a 20-year period, we test several hypotheses relating their sociometric position in an R&D network to their innovative output. Attention is paid to the relative importance of in-house versus collaborative research. Least squares dummy variable models are used to analyze cross-sectional data across different time periods. The results show that (1) an organization's “network embeddedness” positively influences its innovative output; whereas (2) involvement in collaborative R&D has a curvilinear effect on innovative performance.     

National Technology Foresight Activities Around the Globe: Resurrection and New Paradigms

This contribution summarizes recent experiences in government or national technology forecasting which are now often termed “foresight.” While the methodological tool kit changed from mathematical models to more qualitative scenarios or visions, the Delphi method has become the backbone of foresight projects. Recent national activities, being dealt with in this special issue, are compared in terms of their comprehensiveness, their science versus industry orientation, and their analytic versus action-oriented targets. Although some of these are ongoing, we can discern several new foresight paradigms. From the perspectives of sociology and political sciences, foresight elements seem to be the means of communication (or the “wiring up”) for the negotiating systems of the society. From an economics and management point of view, foresight is helpful for benchmarking and for initiating feedback processes between future demand and present day investment in research and development. From a cultural point of view, the resurrection of foresight in the 1990s seems to be related to growing globalization and at the same time the recognition of national or regional innovation systems. Finally, in terms of international affairs supranational foresight seems to become a new venture.     

Personal attitudes in the assessment of the future of science and technology: A factor analysis approach

In 1996, the second German Delphi study (“Delphi '98”) was started. The Delphi '98 is a two-round Delphi expert survey being conducted by the Fraunhofer Institute for Systems and Innovation Research (ISI) on behalf of the German Federal Ministry of Education, Research, Science, and Technology (BMBF). The study was published in February 1998, and is now getting into its implementation phase. Its inherent focus is on the development of science and technology in 12 thematic fields in the next 30 years. To arrive at a better understanding of the influence of personal attitudes towards general developments in natural environment and society, the respondents were asked in the first round of the Delphi survey for their personal opinion towards several megatrends concerning the natural environment, economic, sociological, and political developments. Over 2,300 answers led to a very solid database, which gives insights into the general attitudes of the German R&D experts. On some topics, there is a high consensus, whereas in others, opposite opinions coexist. These results may serve as the database for a factor analysis leading to the identification of five different expert types. This paper examines the crucial question of whether different patterns in assessing the future development in science and technology by expert types can be observed. In general, it turned out that differences in personal attitudes towards megatrends do not influence the estimation of developments in science and technology. However, differences exist in specific topics and the distribution of the five experts types among the respondents differs significantly in the 12 fields.     

Government funding strategy in technology programs

Industrial R&D in a market economy is mainly implemented in the private sector, therefore public funding is a very important tool of government to guide private R&D activities. This paper investigates the experience of funding national programs in a number of industrialized countries, and reaches some preliminary conclusions: (a) To reduce opportunistic behavior and ingrain intrinsic incentive in firms, both competition and cost-sharing principles should be used concurrently in underwriting firms' R&D projects. (b) Competition principles can be applied across many candidate projects around the same time or a series of one-of-a-kind projects over a longer time horizon. (c) The major threat to application of competition principles is that there is no “real competition” due to few qualified candidates in specific technological fields or in some, especially small, countries. (d) In practice, the appropriate cost-sharing level is difficult to determine. Fifty-fifty is used as a rule of thumb in many countries to simplify the decision making and circumvent “bounded rationality.” (e) Full cost endorsement may be another “quantum” alternative for projects urged by government but not felt to be very relevant by firms.     

Pictures and parts: Delivering an automated automotive parts catalog

The paper describes a classic challenge in business technology—keeping (or expanding) a market in light of changing demands and product technologies. Threatened by other firms in the microfiche publishing business and by new entrants offering catalog data bases, Bell & Howell reevaluated its entire approach to the automotive parts catalog business. In the process the company discovered how a properly concieved system could provide significant efficiency improvements in automobile repair operations. Much of the hardware needed for the system was “off the shelf.” As in many cases of technological development, initial expectations about what the new technology could offer were incorrect. The heart of the story is the company's persistent and iterative efforts to understand its customers' activities and to offer a system that could be tailored to, and justified in, the customers business environment.     

The research strategy in management of technological innovation

The increasing importance of technology in the application world has imposed high demand on the research community for insightful and useful principles about “management of technological innovation” (MTI). This paper examines the academic legacy in terms of conceptual categories, causal relationships and taxonomy of relevant systems, and asserts from a system perspective that MTI as an applied science is still in its infancy.Based on methodological argument, this paper warns of the danger of hasty compromise of strategically important topics to “popular” definition of “researchability,” and suggests several research guidelines and approaches for this young interdisciplinary discipline:

1. (1)To explore new frontiers, use “proximate variables,” consider contextual factors and causation in broad terms, conceptualize “independently,” and pay more attention to case study method.

2. (2)To understand driving forces, be aware of practice, and focus on internal dynamics.

3. (3)To transcend complexity, adopt a hierarchical structure perspective and state-and-flow concept, and condense findings into configurations.

Finally, this paper urges the formation of an overall research strategy to accelerate the accumulation of MTI grounded knowledge.     

R&D cluster quality measures and technology maturity

“Innovation indicators” strive to track the maturation of an emerging technology to help forecast its prospective development. One rich source of information is the changing content of discourse of R&D, as the technology progresses. We analyze the content of research paper abstracts obtained by searching large databases on a given topic. We then map the evolution of that topic's emphasis areas.The present research seeks to validate a process that creates factors (clusters) based on term usage in technical papers. Three composite quality measures—cohesion, entropy, and F measure—are computed. Using these measures, we create standard factor groupings that optimize the composite term sets and facilitate comparisons of the R&D emphasis areas (i.e., clusters) over time.The conceptual foundation for this approach lies in the presumption that domain knowledge expands and becomes more application specific in nature as a technology matures. We hypothesize implications for this knowledge expansion in terms of the three factor measures, then observe these empirically for the case of a particular technology—autonomous navigation. These metrics can provide indicators of technological maturation.     

Will Italy meet the ambitious European target for R&D expenditure? Natura non facit saltus

The paper addresses the issue as to whether the Italian scientific and technological system can achieve the Barcelona targets set by the heads of state and government (3% of GDP devoted to R&D by the year 2010) and by the R&D guidelines set by the Italian Ministry for Education, University, and Research (MIUR) (to achieve the level of 1.75% of the ratio in the year 2006).The projections built in the paper show that such objectives are well beyond Italy's potential, and that according to a “natura non facit saltus” (NNFS) projection, the country will be able to raise the ratio from 1.04% in 2002 to 1.55% in 2010. Such projection rests on rather optimistic assumptions: higher priority attached to R&D in the government budget, an increasing propensity of firms to invest their value added in R&D, and an increase of researchers' salaries.The difficulty to achieve the objectives set at the European and national level is due to the low starting point, to the lack of additional investment from 2001 to 2003, and to structural factors such as insufficient supply of qualified human resources, the small size of high-tech industry, and constraints imposed by the reduction of public spending.The attainment of R&D policy objectives is more and more dependent on education, industrial, and public budget policies; the issue of a thorough review of the governance of the whole S&T system at the national level is therefore raised. The situation is accentuated by the fact that decisions taken at national level are conditioned by the European union (through the Framework Program, the regulations regarding state aid to firms, etc.) by multinational enterprises, which operate on a global scale, and by regions in the framework of their autonomy.     

The effect of science and technology parks on a firm’s performance: a dynamic approach over time

We argue that the benefits provided by locations inside science and technology parks evolve over time. Firms inside parks can improve performance due to certain advantages related to knowledge spillovers and shared resources that can be particularly useful in earlier stages of the industry life cycle. In these industries, local knowledge sharing is particularly useful because no standards are clearly established, as we have confirmed in a sample of 12,800 firms from the PITEC database, located either on- or off-park. We also find that young firms can benefit more from the park than more established businesses in terms of both business growth and innovative capacity. Although older firms have greater experience and investments that would increase their capacity to absorb external knowledge, their associated rigidities prevent them from incorporating changes into their structures.     

Business Processes and Networks in University Incubators: A Review and Research Agendas

While the technology aspects of university incubators in university science parks (USPs) receive considerable attention and development, as the primary force in the creation of incubator businesses, the business and social inputs (entrepreneurial networks) are less well defined. Anchoring to the resource-based view of the firm (RBV), it is argued that a business process perspective is useful to conceptualize the deployment of key resources in USPs—namely business support and social support (entrepreneurial networks). This paper reviews existing literature in relation to university incubator business processes and networks. In particular, the paper seeks to link the process and network concepts to define research agendas.     

Forecasting emerging technologies with the aid of science and technology databases

Short term forecasting was applied to 20 emerging technologies under the “Machine and Materials” category based on the Vision 2023 foresight study previously conducted for Turkey. This scientometric approach uses the most suitable keywords linked to the technology in question and determines the number of publications and patents in those fields for a given year. Database analysis of publications and patents in the previous 11 years indicates that while the majority of the top 20 technologies identified by the experts are indeed emerging (i.e. the number of research and/or patenting in these technologies is increasing), some of them have not actually attracted too much interest in the science and technology (S&T) community. Forecasts based on S-curves indicate steady growth in some of the selected technologies. There is a high correlation between the number of scientific publications and patents in most of the technologies investigated. The method is proposed as a simple and efficient tool to link national foresight efforts to international S&T activities and to obtain quantitative information for prioritized technologies that could be used for technology management and decision making for research funding and technology investment.     

Societal aspects of technology assessment

Despite earnest admonitions in most technology assessments that institutional arrangements, social impacts, and societal implications be taken into account, the methodology commonly used not only systematically and systematically excludes these very dimensions but often creates a distorted focus. The paradigm dominating structural modeling in technology assessment is technically-oriented; the techniques, lineal descendants of systems analysis, are no more reliable for “assessing” the uncertain future than have been their ancestors in “managing” the present.     

Business Processes and Networks in University Incubators: A Review and Research Agendas

While the technology aspects of university incubators in university science parks (USPs) receive considerable attention and development, as the primary force in the creation of incubator businesses, the business and social inputs (entrepreneurial networks) are less well defined. Anchoring to the resource-based view of the firm (RBV), it is argued that a business process perspective is useful to conceptualize the deployment of key resources in USPs—namely business support and social support (entrepreneurial networks). This paper reviews existing literature in relation to university incubator business processes and networks. In particular, the paper seeks to link the process and network concepts to define research agendas.     

On the methodology of the holistic experiment: An approach to the conceptualization of large-scale social experiments

Presupposing Churchman's and Ackoff's definitions of a system, the notion of a holistic experiment is defined. A holistic experiment is an experiment on a nonseparable system for the purpose of determining the properties (measures of effectiveness) of the systems components. The basic problem of a holistic methodology is that of conceptualization: (1) the conceptualization of the systems “components,” (2) the conceptualization of the “teleological” standard that defines the systems components; and (3) the assessment of the degree of systems “separability.” Various guidelines for conceptualization are offered. These guidelines derive from such disparate disciplines of knowledge as the sociology of knowledge, the psychology of science, the philosophy of science, law, epistemology, ethics, and systems science. It is argued that the problem of defining an adequate methodology for holistic systems constitutes an “ill-structured” problem. The methodology for dealing with ill-structured problems is not the same as the methodology for dealing with well-structured problems. To date, the methodology of the management sciences has been overwhelmingly preoccupied with well-structured problems. Large-scale social experiments require a fundamentally different approach.