Technology Forecasting Activities in Japan

Japan started its development in science and technology later than other countries but was nevertheless quite successful. Many factors contributed to this success—and one of them was the adaptation of large foresight studies at the end of the 1960s. In Japan, the Science and Technology Agency (STA), among others, in 1971 started to conduct a large study on the future of science and technology. The Delphi method was one technique used for foresight activities. This was not considered a tool of prediction but an instrument to systematically look into the long-term future. Among the aims of this type of national activity is the identification of areas of strategic research and of generic technologies most likely to yield the greatest economic and social benefits. Although many countries stopped their national foresight activities in the 1970s, the Japanese Delphi process continued and was applied every five years. In 1997, the sixth study was finished. Yet, Japanese technology policies are less consistent than is commonly believed and involve an assortment of policy measures and actors/agencies pragmatically devised to address diverse, ever-changing, and sometimes conflicting needs embedded in a broad range of issues. Forecasting results provide the “language” to communicate among Japanese actors in science, technology, and society.     

Disruptive technology roadmaps

Disruptive technologies create growth in the industries they penetrate or create entirely new industries through the introduction of products and services that are dramatically cheaper, better, and more convenient. These disruptive technologies often disrupt workforce participation by allowing technologically unsophisticated individuals to enter and become competitive in the industrial workforce. Disruptive technologies offer a revolutionary change in the conduct of processes or operations.Disruptive technologies can evolve from the confluence of seemingly diverse technologies or can be a result of an entirely new technological investigation. Existing planning processes are notoriously poor in identifying the mix of sometimes highly disparate technologies required to address the multiple performance objectives of a particular niche in the market. For a number of reasons, especially the inability to look beyond short-term profitability, and the risk/return tradeoff of longer term projects, it is suggested that current strategic planning and management processes promote sustaining technologies at the expense of disruptive technologies.We propose a systematic approach to identify disruptive technologies that is realistic and operable and takes advantage of the text mining literature. This literature-based discovery process is especially useful in identifying potential disruptive technologies that may require the input from many diverse technological and management areas. We believe that this process holds great potential for identifying projects with a higher probability of downstream success. Further, we suggest a process to take the identified potential disruptive technology from the “idea stage” through to the development of a potentially feasible product for the market. This second stage makes use of workshops and roadmapping to codify the ideas of technological and management experts, who were identified in the literature-based discovery stage. Our goal is to describe and explain the pragmatic steps suggested by our innovative and practical process.The proposed process could identify technologies whose eventual development and application to specific problems would generate innovative products. The goal is to isolate technologies that have the potential to redefine an industry, or alternatively, have the potential to create an entirely new industrial setting. Use the text-mining component of literature-based discovery to identify both the technical disciplines that are likely candidates for disruptive technological products, and experts in these critical technical and managerial disciplines. While we know that this is but one way to investigate nascent disruptive technologies we feel it is imperative that the representatives of these potentially critical technical disciplines are included in the roadmap development process, either as implementers or as consultants.Every firm is looking for “the next great thing”. Literature-based discovery offers a starting point for identifying at least a portion of the major contributory technical and managerial disciplines necessary for potential disruptive technologies and discontinuous innovations. Combining literature-based discovery with a practical workshop/roadmap process dramatically enhances the likelihood of success.     

Emerging patterns of complex technological innovation

Technological innovation is increasingly concerned with complex products and processes. The trend toward greater complexity is suggested by the fact that in 1970 complex technologies comprised 43% of the 30 most valuable world goods exports, but by 1996 complex technologies represented 84% of those goods. These technologies are innovated by self-organizing networks. Networks are those linked organizations that create, acquire, and integrate the diverse knowledge and skills required to innovate complex technologies. Accessing tacit knowledge (i.e., experienced-based, unwritten know-how) and integrating it with codified knowledge is a particular strength of many networks. Self-organization refers to the capacity networks have for reordering themselves into more complex structures (e.g., replacing individual managers with management teams), and for using more complex processes (e.g., evolving strategies) without centralized, detailed managerial guidance. Case studies of the innovation pathways traced by six complex technologies indicate that innovations can be grouped into three quite distinct patterns. Transformation: the launching of a new trajectory by a new coevolving network and technology. Normal: the coevolution of an established network and technology along an established trajectory. Transition: the coevolutionary movement to a new trajectory by an established network and technology. Policy makers and managers face the greatest challenge during those periods of movement from one innovation trajectory to another. These are periods of turbulence; they are the embodiment of Schumpeter's “gales of creative destruction.” This paper investigates how, in six case studies, core capabilities, complementary assets, organizational learning, path dependencies, and the selection environment varied among the innovation patterns. The paper builds on work reported in a recent book by the authors entitled: The Complexity Challenge: Technological Innovation for the 21st Century, Pinter, London, 1999.     

Using resources in R&D policy planning: Brazil, the Amazon and biotechnology

Brazil's research and development (R&D) policies are examined in light of changes in economic direction especially as it pertains to competition. In a competitive environment, regions should develop industrial applications and expertise in areas that coincide with their resources. These could be human resources but could, as in the focus of this paper, be useful resources that differentiate the region from others in the world. This differentiation provides an advantage to the region. Brazil and its Amazon region has the large majority of the world's rare genes. In biotechnology, genes are “green gold,” and Brazil is slowly developing a biotechnology industry and beginning to tap into the Brazilian Amazon region's economic biotech potential. This region has enormous potential for the development of biotech-related technologies and products. This paper discusses the relationship between resources and an R&D strategy using as an example the recent developments in biotechnology research in Brazil and the role of the Amazon region in the development of a Brazilian biotechnology industry. It recommends a number of policy initiatives that will enhance Brazil's focus on biotechnology.     

An interactive computer-based approach to aid group problem formulation

The size, cost, and complexity of quantitative modeling in the social and physical sciences demand that the modeler focus attention on premodeling phases of analysis, specifically on formulation and definition of “problems.” This is especially true in the “softer” or less “well-structured” problem areas of futures research and technology assessment. At this stage of modeling, a key factor is communication among modelers. This paper briefly discusses approaches to classifying and formulating problems that illustrate the role of communication in modeling. It then describes a computer-based communication system as one possible aid in the problem-formulation process.     

Structure and understanding: Some observations on current activities in the field of structural modeling

Structural modeling has been under study in recent years as a method for dealing with complex societal problems, and is growing in acceptance as a tool for understanding complex social phenomena. Structural models demonstrate the interactions of the separate elements of a system and their combined overall effect. Thus, the nature of the problem for which this method of analysis is appropriate is different from complex problems of the traditional disciplines which lend themselves to reductionist approaches. This is because complex policy problems of society cannot be “solved” with precise analysis. Kenneth Boulding suggests that there are two ways to cope with a complex policy problem, either to “slice” the problem into partial equilibrium sections or “squeeze” it by aggregating numerous variables into a single index or macho variable. Structural modeling is an approach which comes under the general strategy of squeezing the problem and is promising because of the ability to include a range of macro variables which provide insights about social change. The articles in this issue treat several interesting aspects of this approach. In this article we wish to recall for consideration a central purpose for developing such methods. We have taken a historical approach to indicate some of the roots of the concern for the effect of technological process on social change. Within this context, we discuss the nature of the contributions made by the articles in this issue and what promise the methods offer to addressing the historical concern.     

A re-examination of the technological catching-up hypothesis across OECD industries

This study re-examines the catching-up hypothesis at the industry level across the main OECD countries, using panel data econometric models involving technological gap indicators calculated with a nonparametric distance function suggested by Färe et al. [Färe, R.S., Grosskopf, M.N., Norris, M., Xhang, Z., 1994. Productivity growth, technical progress, and efficiency change in industrialized countries. American Economic Review 84, 66–83]. The results show that there is statistical evidence of a catching-up process at the industry level. Moreover, both tradables and nontradables sectors exhibit catching-up effects and technology adoption from abroad. This result complements the findings by Bernard and Jones [Bernard, A.B., Jones, C.I., 1996a. Comparing apples to oranges: productivity convergence and measurement across industries and countries. American Economic Review 86(5), 1216–1238., Bernard, A.B., Jones, C.I., 1996b. Productivity across industries and countries: Time series theory and evidence. Review Of Economics and Statistics 78, 135–146], Gouyette and Perelman [Gouyette, C., Perelman, S., 1997. Productivity convergence in OECD services industries. Structural Change and Economic Dynamics 8, 279–295] and Hansson and Henrekson [Hansson, P., Henrekson, M., 1997. Catching up, social capability, government size and economic growth, in V. Bergström, eds, Government and Growth, Oxford: Clarendon Press, 61–126] that there is no (or even a slow) catching-up effect in the manufacturing sector. Moreover, social capability indicators evaluated for each country show that “Non-European” and “Central European” tradables sectors have a rather similar degree of inefficiency while “North European” countries are less efficient for both tradables and non-tradables. Lastly, both the cross country and the cross sectors dispersions of inefficiency levels are smaller for tradables sectors than for non-tradables.     

Towards governance of human tissue engineered technologies in Europe: Framing the case for a new regulatory regime

The development of human tissue engineered technologies, located in the context of wider debates around the governance of biotechnology, raises important issues. This paper explores these issues by examining theoretical approaches to the regulation of risk, the limits of technical risk assessment and implications of scientific uncertainty in this area. We consider broader social concerns and how these shape contemporary debates relating to the sourcing and use of human tissue-engineered technologies. We examine the emergence of a new regulatory ‘regime’ in Europe and the social shaping of a regulatory space between medicinal products, medical devices and biologics where these innovative products may be situated. Reporting on recent policy initiatives and a survey of regulatory authorities in Europe, we analyse the ways in which public trust in these technologies may be engendered, providing insight into public participation in policy debate and relations between industry and the regulatory state at national and European levels.     

Hierarchical impacts of the length of technology waves: An analysis of technolabor homeostasis

This work is based on the postulate that the hierarchical order of technology development can be maintained by a subtle balance between technology waves having different lengths, and that the current collapse of the “virtuous cycle” between technology development and economic growth can be attributed to a stall in the balance of technology waves. This paper examines the subtle technolabor relationship of Japan's electrical machinery industry, and supports such phenomena by demonstrating the hierarchical impacts of the length of technology waves.     

Technological generalizations and leitbilder—the anticipation of technological opportunities

Recent national technology foresight studies as well as the Millennium Project of the American Council for the United Nations University are very much based on “nodes of discussion.” These short statements are called, e.g., topics, issues, or developments. This article provides a framework for the classification and analysis of nodes related to future technological development. Key concepts of the article are “technological generalization” and “leitbild.” The topics in the technology foresight Delphi studies can be seen as different kinds of generalizations from already realized technological developments. Leitbild is a German word. Its most general meaning is a guiding image. Like a common vision, a leitbild creates a shared overall goal, offers orientation toward one long-term overall goal, and provides a basis for different professions and disciplines to work in the same direction. The analysis of leitbilder and emerging technological paradigms might contribute to the construction of topics and issues and to the argumentation processes related to them.     

Infratechnologies and the role of government

Government support of technological change is a complex issue because barriers resulting in underinvestment exist to some degree in most industries, so difficult allocation decisions for limited government resources are necessary. The structure and timing of government support is further complicated because in any one technological area, the nature and severity of underinvestment phenomena vary during the evolution or life cycles of the relevant industries. This paper focuses on the methods and rationale for government support of two elements in industrial technology: generic technology, from which specific products and processes (i.e., innovations) are derived, and “infratechnologies,” which are necessary for the evolution of the generic technology and its applications. Particular emphasis is given to infratechnologies because they are largely supplied by sources outside the industry and have consequently been largely overlooked in previous discussions of industrial policy. A case study of one major source of infratechnology, including quantitative estimates of industry impacts, is presented.     

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.     

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.     

Can Japan succeed in “Chigyo-ka” (intelprise-formation)?

There are two aspects in today's information revolution that started in the late 1970s. The first is an aspect referred to as “the third industrial revolution,” which triggers the transition to the “21st century system of Industrialization.” The information revolution in this sense brings the creation of new “breakthrough industries (new multimedia industries).” And the second aspect of the information revolution possesses the characteristics of both a technological revolution and a social revolution and brings about the arrival of the third phase of the historical evolutionary process of the modern civilization, which proceeds through three phases, namely “militarization, industrialization, and then informatization.”If the bearers of modern industrialization are a “group of enterprises” that have been engaged in the race in order to gain “wealth” (generalized means of exchange/exploitation power), and if these enterprises' activities have been exercised in the world market where their products have been sold, then it is appropriate to call the bearers of informatization a “group of intelprises.” They will be engaged in the race to gain “wisdom” (generalized means of persuasion/induction power), then stages of their activities can be called a “global intelplace” where “sharables,” that is, information and knowledge, will be disseminated. And now, toward the 21st century, the third phase of modernization, which can be called the “informatization/intelprise formation” or the “wisdom game” (intellectualism), is about to begin.Japan's “ie society (a society based on the ie principle—literally, it means “house” but here it is interpreted as cultural principle for organizing a society), which has been going through the process of evolution on the Japan Archipelago, has developed a network-based organization with little stratification within its infrastructure. In this sense, Japanese society can be characterized as a “network-oriented society” in which intelprises and an intelplace in the broad sense have functioned as the essential components of the society since Middle Ages. In general, an intelplace and intelprises that operate actively within this framework serve as the flexible bases for different types of social relations and institutions, such as states and markets and eventually integrate these into the society to a certain extent. In fact, it took place quite regularly during the modernization “in the narrow sense,” or Westernization of Japanese society after the Meiji Restoration. There exist some problems, however. Some of the characteristics found in Japanese society may become obstacles to activities aimed at the sharing and promotion of information and knowledge in the global intelplace and Japanese participation in the “wisdom game.” Badly needed are serious efforts for Japanese intelprise-formation to reduce these obstacles as much as possible.     

Alberta and the 200-year present

This article was written as background for a presentation to the conference “Reflections on Caring,” held in Edmonton, Alberta, from April 28 to May 1, 1986, under the auspices of Edmonton Catholic School Services. In it, I tried to summarize what seemed to me the more important long-term influences on Alberta's future in general and of one of its social institutions in particular. Some might be surprised by the relatively little space allocated to energy markets, given Alberta's extreme dependence on the petroleum industry. The deemphasis of this subject was deliberate and was driven by a desire to talk about values, rather than economics, to an audience for whom values are the more important subject. I also chose the emphasis on values because in our day and age they are so seldom discussed. We rely in our discussions of public policy so much on the “value- free” social sciences that we have quite lost sight of the crucial role that values play in determining what are public issues and how they should be discussed and addressed. More particularly, we have lost sight of the value set that underlies the sciences, social and otherwise, and in consequence we have lost our ability to be discriminating in our choice of subjects to which the sciences are capable of rendering a useful answer. I would argue that that value set is no longer a reliable guide for the future—that it identifies the wrong issues and cannot deal with the real ones even if it could identify them. In one sense, the article is an attempt to justify that viewpoint, although I did not set out to write the article with that in mind.     

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.     

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.     

Learning-by-Using and the Switch to Better Machines

In an attempt to account for the huge observed disparity in international incomes, several recent papers study models in the spirit of R. Solow (1960, in “Mathematical Methods in the Social Sciences 1959,” Stanford Univ. Press, Stanford) where the adoptions of better technologies require investments in new equipment. This paper continues this line of research. It describes an economy in which firms install more productive machines and subsequent to these adoptions, learn how to use those machines. In contrast to these other papers, this one does not predict that firms always adopt the frontier technology whenever they switch technologies. In this model both the upper and lower supports of the distribution of operated technologies may differ between economies that differ in policy. Consequently, this model can generate larger differences in international incomes than these other models. These differences are still small relative to the data, however. Journal of Economic Literature Classification Numbers: O11, O33, O41.     

Characteristics of technology transfer in business ventures: the case of Daejeon, Korea

This article explores the characteristics of venture business and entrepreneurs in Korea to (1) identify technology transfer activities, (2) analyze the differences between technology transfer in linear and nonlinear venture businesses, and (3) guide more effective venture business policy and strategy. This empirical assessment reveals that entrepreneurs have insightful evaluations about their resources and capacities as well as expectations with regard to functions and features of science parks and incubators. Respondents from “linear model”-based start-ups tend to be older and have higher education, employ more basic research and development (R&D) and have more R&D-oriented careers, and have more varied work experience than “nonlinear”-based start-ups. The functions and features of science parks and incubators were generally not considered a critical influence on start-ups nor on the growth of venture businesses. Accordingly, alternative venture-nurturing strategies are discussed as being key to accelerate venture businesses growth.     

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.