Environmental uncertainty,foresight and strategic decision making: An integrated study

This paper explores how the foresight practices and techniques that might be used for coping with environmental uncertainty are coordinated throughout large corporations and how their results are used for supporting strategic decision making. Based on an in-depth and multiple study of several companies, we analyse the main characteristics of environmental uncertainty - complexity and dynamism - that shape companies’ approaches to strategic foresight and uncertainty management. We explore the impact of growing complexity and dynamism on these approaches and the role of prediction and control in their design and implementation. We outline a conceptual framework for strategic foresight activities - and their relationships with decision making under uncertainty - as a planned learning process about the future which enables managers not to know opportunities and threats in advance, but to detect them more promptly and to react more effectively as soon as they start emerging.     

Foresight with Delphi Surveys in Japan

Foresight activities are conducted in many countries, but the Japanese were the most active in this field for many years. Most of their activities are based on the Delphi methodology. They published their first Delphi study in 1971 and repeated studies every five years. There is more knowledge available on more than 30 years of foresight with the Delphi approach in Japan. This provides an excellent opportunity to examine the established foresight system with the use of some examples. The forecast of the fax machine as an example of success, and the earthquake warning as a failure are illustrated in more detail, and the question is raised why—in spite of this mixed picture—foresight with the Delphi method is regarded as useful in Japan.     

Foresight with Delphi Surveys in Japan

Foresight activities are conducted in many countries, but the Japanese were the most active in this field for many years. Most of their activities are based on the Delphi methodology. They published their first Delphi study in 1971 and repeated studies every five years. There is more knowledge available on more than 30 years of foresight with the Delphi approach in Japan. This provides an excellent opportunity to examine the established foresight system with the use of some examples. The forecast of the fax machine as an example of success, and the earthquake warning as a failure are illustrated in more detail, and the question is raised why—in spite of this mixed picture—foresight with the Delphi method is regarded as useful in Japan.     

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.     

Foresight on biopharmaceuticals: Designing foresight methods for Spanish biopharmaceuticals

This paper has as its starting point the analysis of the systemic failures in the Spanish Biopharmaceutical Innovation System grounded in the study carried out by the same authors for the OECD between 2002 and 2004. Based on the evidence that one of the main failures is the lack of sufficient linkages between the different actors involved in the dynamic of the system, this paper proposes third-generation foresight as an instrument of science and innovation policy for resolving the problem of systemic failures. Foresight exercises could become an important instrument for reorienting policy, building new networks and linkages among the different actors, bringing new stakeholders into the strategic debate, exploring future opportunities for investment in science and innovation activities, etc. The objective of this paper is the design of a foresight exercise on biopharmaceuticals with the aim of solving, or at least reducing, the failures of this Spanish sectoral system of innovation and in consequence making it stronger.     

Emergent foresight processes: industrial activities in wireless communications

Technology foresight has received growing attention among those involved in the shaping and implementation of science and technology (S&T) policies. However, although evaluative analyses of foresight exercises have supplied evidence on acclaimed benefits—such as the generation of future-oriented knowledge and strengthening of collaborative networks—they also point to challenges in translating foresight results into actions within research and technology development (RTD) organizations. In this article, we address these challenges by considering the work of the Wireless World Research Forum (WWRF), which has sought to promote the conception, development, and diffusion of wireless communication technologies. Specifically, by contrasting this work with well-known government-initiated foresight exercises, we typify so-called explicit, emergent, and embedded foresight activities and explore their interrelationships. Our comparative analysis points to conditions under which policy interventions may not be needed for the emergence of foresight activities that exert a major influence on RTD agendas. It also suggests several context-dependent roles for public policy, among which government-driven foresight exercises and the catalysis of more narrowly focused activities are but two examples.     

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.     

Multiple generation product life cycle predictions using a novel two-stage fuzzy piecewise regression analysis method

Product life cycle (PLC) prediction plays a crucial role in strategic planning and policy definition for high-technology products. Forecast methodologies which can predict PLCs accurately can help to achieve successful strategic decision-making, forecasting, and foresight activities in high-technology firms, research institutes, governments, and universities. Over the past few decades, even though analytic framework strategies have been proposed for production, marketing, R&D (research and development), and finance, aiming at each stage of PLCs, forecast methodologies with which to predict PLCs are few. The purpose of this research is to develop a novel forecast methodology to allow for predictions of product life time (PLT) and the annual shipment of products during the entire PLC of multiple generation products. A novel two-stage fuzzy piecewise regression analysis method is proposed in this paper. In the first stage, the product life-time of the specific generation to be analyzed will be predicted by the fuzzy piecewise regression line that is derived based upon the product life-time of earlier generations. In the second stage of the forecast methodology, the annual shipment of products of the specified generation will be predicted by deriving annual fuzzy regression lines for each generation, based upon the historical data on the earlier generations' products. An empirical study predicting the life-time and the annual shipment of the 16 Mb (Mega bit) DRAM (Dynamic Random Access Memory) PLC is illustrated to validate the analytical process. The results demonstrate that two-stage fuzzy piecewise regression analysis can predict multiple generation PLT and PLC precisely, thereby serving as a foundation for future strategic planning, policy definitions and foresights.     

A two-stage technology foresight model with system dynamics simulation and its application in the Chinese ICT industry

Technology foresight is a process that identifies the critical technologies a country or industry needs to develop in order to shape a desired future. In this paper, a two-stage technology foresight approach is proposed. During the first stage, critical technologies are identified and evaluated by nationwide experts through Delphi surveys. In the second stage, a system dynamics simulation model is used to estimate how critical parameter values are likely to impact the attainment of foresight goals. A detailed illustration of this two-stage process is provided by a technology foresight case study in the Chinese information and communication technologies (ICT) industry. Because it was identified by the first-stage Delphi method as a critical technology, the diffusion of 4th generation wireless telecommunication technology (4G) was simulated, and experimentation was conducted. Suggestions are provided regarding how the Chinese information industry would need to expand the IP network infrastructure in order to support technology foresight goals under different scenarios.     

Developing a model to evaluate the impacts of science,technology and innovation foresight on policy-making

Technology foresight as a policy intelligence tool can offer vital inputs for policy-making in various domains. The relationship between foresight and policy-making has been presented in the literature by the policy-related functions of foresight, but the literature reflects a theoretical gap with the systematic evaluation model for the impact of foresight on policy-making. This research seeks to bridge the existing gap and uses the mixed method for this purpose. The mixed method approach used in this paper is the sequential exploratory design. First, the conceptual model is developed in the qualitative part of this research by using meta-synthesis and constant comparative method (CCM) of analysis. Second, in the quantitative part, quantitative tests are used to evaluate the dimensions and components of the developed theoretical model. The data collection tool is a questionnaire. The results confirm the proposed dimensions of the evaluation model.     

The use of Delphi methodology in agrifood policy development: Some lessons learned

Developing policy in the agrifood area is an inexact process, usually relying upon effective integration of opinions from multiple experts from different disciplines, organisational types, and regions/countries. Delphi would appear to have the potential to overcome some of the typical limitations related to soliciting expert opinion and identifying consensus on future activities or options, particularly where relevant experts are dispersed geographically, and international consensus is required, as is the case in this domain. Three case studies, focused on the application of Delphi to emerging policy needs in international or European agrifood policy, are presented here to exemplify the utility of the technique. A number of practical recommendations are drawn from these case studies that may be applicable to other major policy making arenas. Among these recommendations are; that an exploratory workshop to refine round one Delphi questions is essential; that the implementation of “cascade” methodology (utilizing the personal contacts of researchers or members of existing policy networks) appears to increase response rates in subsequent Delphi rounds; and that the policy issue under discussion should be particularly relevant to stakeholders in order to increase participation rates. Further research might usefully focus on developing ways to incorporate measurements of uncertainty associated with stakeholder judgement into quantitative responses, and on establishing how best to utilise such information in feedback in subsequent Delphi rounds. Ensuring how best to inform policy uptake of the outputs of Delphi merits further research in particular.     

Desirability bias in foresight: Consequences for decision quality based on Delphi results

In foresight activities uncertainty is high and decision makers frequently have to rely on human judgment. Human judgment, however, is subject to numerous cognitive biases. In this paper, we study the effects of the desirability bias in foresight. We analyze data from six Delphi studies and observe that participants systematically estimate the probability of occurrence for desirable (undesirable) future projections higher (lower) than the probability for projections with neutral desirability. We also demonstrate that in the course of a multi-round Delphi process, this bias decreases but is not necessarily eliminated. Arguably, the quality of decisions based on Delphi results may be adversely affected if experts share a pronounced and common desirability for a future projection. Researchers and decision makers have to be aware of the existence and potential consequences of such a desirability bias in Delphi studies when interpreting their results and taking decisions. We propose a post-hoc procedure to identify and quantify the extent to which the desirability bias affects Delphi results. The results of this post-hoc procedure complement traditional Delphi results; they provide researchers and decision makers with information on when and to which extent results of Delphi-based foresight may be biased.     

A methodology to position nations’ efforts in a technology domain with a patent network analysis: case of the electric vehicle domain

When a nation is making strategies in a technology domain, it makes sense to know where the nation is currently in the domain and to know where other nations are as well. This paper presents a method to position nations’ efforts in a technology domain. The method builds a network of International Patent Classifications (IPCs) based on their co-occurrence in patent applications and applies an index called the Revealed Patent Application Advantage (RPAA), which reflects where nations’ efforts have been spent in a technology domain denoted as the IPC network. We applied the proposed method to position the efforts that have been spent in the electric vehicle (EV) technology domain by mainland China, Germany, Japan, and the United States.     

Perceived inflation and the euro: Evidence from an Austrian survey

This paper employs an Austrian micro-dataset to analyze why inflation perceptions became disconnected from official inflation measures in the course of the euro cash changeover. We find evidence that persons who are more often confronted with prices, who expected price increases and who mentally convert euro prices into old currency prices when making price comparisons have a significantly higher perception of inflation. Furthermore, our results indicate that the latter two factors have a persistent impact. This contributes in explaining why price perceptions have not normalized for several years in some countries. The results suggest that policy measures in countries which are going to introduce the euro should address these issues in order to prevent a similar development as experienced in many euro area countries.     

Evaluation of national foresight activities: Assessing rationale, process and impact

The paper addresses the question of what constitutes an appropriate evaluation strategy for national foresight activities in different situations. The variety of rationales for foresight is explored, ranging from a desire to set priorities through to participation-oriented goals and building new networks around common visions and strategies. A generational model of foresight is used to show the evolution of key evaluation issues. The generic motivations for evaluation of accountability, justification and learning are discussed in the context of foresight. Evaluation grounded in the concept of behavioural additionality and the systems failure rationale is shown to be more suited as a rationale for foresight as public policy.Assessing the effects of foresight requires an understanding that it is only one of several influences on public policy. To be effective it needs to be tuned into the strategic behaviour and cycles of policy and economic actors. Cases are presented of evaluation of foresight programmes in the United Kingdom, Germany and Hungary. It is concluded that there is no “one-size-fits-all” evaluation approach and that the method selected is conditioned by motivation, timing and the level of aggregation. Foresight cannot be fully evaluated independently from its context. Foresight is being strengthened by the emergence of rigorous and systematic knowledge to assist learning and improvement.     

Corporate Governance and the Public Interest

Corporate governance has long been a concern for industrial economists but not typically a centrepiece of policy. One reason is that policy design has been based on a market‐orientated approach to the theory and impact of the firm. In contrast, this paper is rooted in a strategic decision‐making perspective that makes corporate governance a central policy issue. Moreover, whereas responses to corporate scandals have focused on shareholders wronged by managers, we see the significance of corporate governance very differently. Merely to punish managers who fail shareholders is to ignore systemic failures, namely that, by design, managers are not democratically accountable to all interests in corporations’ activities. The impact of modern corporations turns crucially on who governs. In practice preferences over strategy vary across actors but not all interests are currently being represented in decision making, resulting in a failure to govern in the public interest. As solutions, we consider the design of company law and also more immediate ways forward, focusing on regulation and democratically controlled public agencies. Our prime concern is the fundamental significance of active, effective citizens. Throughout, the arguments are illustrated using examples from various countries and industries.     

Foresight in science and technology

Emerging generic technologies seem set to make a revolutionary impact on the economy and society. However, success in developing such technologies depends upon advances in science. Confronted with increasing global economic competition, policy-makers and scientists are grappling with the problem of how to select the most promising research areas and emerging technologies on which to target resources and, hence, derive the greatest benefits. This paper analyzes the experiences of Japan, the US, the Netherlands, Germany, Australia, New Zealand and the UK in using foresight to help in selecting and exploiting research that is likely to yield longer-term economic and social benefits. It puts forward a model of the foresight process for identifying research areas and technologies of strategic importance, and also analyzes why some foresight exercises have proved more successful than others. It concludes by drawing an analogy between models of innovation and foresight.     

The origins of the concept of ‘foresight’ in science and technology: An insider's perspective

This article explores how the term ‘foresight’ originally came to be used in connection with science and technology by the author and SPRU colleagues in 1983. It analyses how the rationale for its use evolved over time, first providing a ‘catchy’ title for a study (‘Project Foresight’), and then a convenient shorthand for the focus of that study, before eventually coming to formally signify a new approach to looking systematically into the future of science and technology, an inclusive and wide-ranging process that differed appreciably from that of traditional ‘technology forecasting’. The paper reflects on the importance of concepts and terminology in the field of science policy research, providing examples of how an inappropriate term or phrase can damn the prospects of the research having an impact on policy, while a more politically astute use of terminology can greatly enhance the probability of making a significant impact. The paper also examines other early uses of the concept of ‘foresight’ in the United States and Canada at about the same time. In addition, it highlights the conceptual similarities between foresight and la prospective, a novel approach developed in France not just for looking into the future but also for shaping or even ‘constructing’ the future of our choice, an ambitious aspiration that it shares with foresight. This case-study on the origins and early evolution of ‘technology foresight’ illustrates the essential importance of terminology in differentiating key concepts in social sciences (where it sometimes gives rise to unfortunate priority disputes), and particularly in the case of policy research.     

The over-optimism among experts in assessment and foresight

It is still disputed whether foresight exercises should be based on top-expert assessments or on a broader base of less specialised experts, and whether the self-rating of experts is an acceptable method. Using the German 1993 and the Austrian 1998 Technology Delphis, this study addresses both questions. Self-rating is, in fact, an appropriate method for selecting experts. But the assessment of self-rated top experts tend to suffer from an optimism bias due to the experts' involvement and their underestimation of realisation and diffusion problems. The degree of optimism is positively correlated with the degree of self-rated knowledge, and it is more pronounced for the least pioneering and for organizational innovations. Experts with top self-ratings working in business have a stronger optimism bias than those working in the academia or in the administration: Consistent with the insider hypothesis, they are most optimistic with regard to realisation, innovativeness, and potential leadership in economic exploitation. Given the optimism bias, foresight exercises should base their panels on a fair mixture of experts of different grades, with different types of knowledge and affiliation, and not only on top specialists of the respective field. Delphi-type exercises, therefore, offer an advantage relative to forum groups or small panels of specialists.     

Refining the debate on GM crops using technological foresight—the Danish experience

Rapid developments in and the controversial nature of biotechnology call for communication, networks, partnerships, and collaboration in research, not just among researchers, but also between researchers and research “users” in industry, government, and elsewhere. Technological foresight appears to offer a coordinating method for developing and strengthening those linkages. To test this, a technological foresight study was performed on genetically modified (GM) crop technology in the Danish context. The background of the study was the conflict and intense debate in Denmark over applications of gene technology, especially over the deliberate release of genetically modified (GM) crops. However, the current debate characteristically involves sharply opposed fronts, lacking willingness and courage to engage in a free-flowing and open-minded debate on both rational and normative components of biosafety. In it, stakeholders and experts on both side of the conflict advocate widely differing opinions. Without a proper generally intelligible dialogue, the broader public audience finds it hard to comprehend this type of debate. The study pursues the notion that public dialogue can act as a driver of future applications in the technological domain, specifically GM crops. The study concluded with a stakeholder workshop that revealed three key issues that might provide helpful starting points for a more free-flowing and open-minded debate about the future of GM crops. The issues were those arising from the following statements: a broad perspective on risk is crucial; international regulation must make allowance for developing countries; a better configuration of the risk debate is needed. These issues are discussed in more details in the article.