Using scenarios for roadmapping: The case of clean production

Roadmapping and scenarios are two widely used futures techniques which help R&D managers set priorities for research. These techniques are combined in a Foresight exercise assessing development of clean production in metal manufacturing, drawing on the European CLEANPROD project. The aim of the project is to develop a set of roadmaps for metal processing R&D to achieve breakthrough sustainability — “clean production”.Scenarios, a frequently used Foresight method, are used to set the context for the exercise, inform the design of technology roadmaps and influence the wider policy context. Roadmaps are developed for three process areas of metal manufacture - surface preparation, machining and coating - on four levels including long run visions up to 2020, interim targets up to 2015, key R&D areas and specific project topics. Roadmaps are appraised in the light of alternative scenarios on the future of manufacturing. Promoting sustainability highlights gaps in a “business as usual” roadmap, suggesting a different portfolio of research projects. A revised overall scenario is used to shape public policy.R&D teams usually adopt one particular methodology to support resource allocation. However joint use of futures techniques helps if there is uncertainty over competing alternative technologies. Roadmapping often focuses on a single future. Scenario building as a Foresight technique introduces “multiple futures” thinking.     

Competition and inter-firm credit: Theory and evidence from firm-level data in Indonesia

Using firm-level data we investigate the relationship between trade credit and suppliers' market structure and find a ∩-shaped relationship between competition and trade credit, with a discontinuous increase in credit provision between monopoly and duopoly. This “big jump” arises because monopolists are more likely to not offer any trade credit than firms in competitive environments. Our model exploits the fundamentally different nature between cash and trade credit sales, arguing that firms are unable to commit ex ante to a trade credit price. We show that monopolists will often sell only on cash, while credit is always provided in competitive environments.     

Dynamic decision trees for building resilience into future eco-cities

Intensifying global urbanization and environmental changes bring about the imperative of sustainable urban development and decisions upon inescapable pressures and risks, but knowledge integration between disciplines is a limiting contextual challenge. This paper proposes a reformulation, in terms of urban risk management, of an earlier developed ontological scenario generation method. The procedure consists of several steps: (i) identification-and-prioritization of main pressures, (ii) paired discussion of pressures using four-cell matrices, (iii) re-visit of the pressures' priority order, (iv) articulation of short-listed pressures as decision-making questions, and (v) generation of scenarios via “yes/no” responses to each question, in their order of priority. In this article, the method feeds upon the general context described in recent multi-disciplinary urban studies and public strategic plans in the city of Iasi (Romania), to propose a formal procedure for enabling the acceleration of productive decision making towards city sustainability. Answering three top priority questions, namely “Implement a business-friendly and efficient governance system?”, “Develop a resource management system?”, and “Carry out a human capital accelerator strategy?” results in a 4-scenario set: Receding City, Wanting City, Promising City, Inspiring City. The scenarios are discussed in terms of systemic risks at the end of post-communist transition and beginning of the socio-economic convergence with Western Europe.     

Democracy and Opinion Falsification: Towards a New Austrian Political Economy

Hayek's view of democracy as a process of forming opinion is taken as a starting point for inquiring into issues largely neglected by Public Choice and Constitutional Economics. In an Austrian perspective, fallible individual knowledge, political entrepreneurs and dissenting minorities attain a distinctive role in the process of political competition. Based on the observation that political opinions consist of preferences and theories, the concept of opinion falsification is introduced. It is a spontaneous result of social interaction creating preference falsification - the disguise of true feelings, but also knowledge falsification – the discovery of false beliefs. Democratic constitutions can limit the scope of preference falsification and increase the potential for knowledge falsification, thus supporting Hayek's view that it is in its dynamic, rather than its static, aspects, that the value of democracy proves itself.     

The development of technology foresight: A review

The term “foresight” has long been used to describe readiness to deal with long-term issues (especially on the part of governments). This term “Technology Foresight” took off in the 1990s, as European, and then other, countries sought new policy tools to deal with problems in their science, technology and innovation systems. Large-scale exercises drew in numerous stakeholders as sources of knowledge and influence, and the prominence of these exercises led to “foresight” being used much more widely to describe futures activities of many kinds. While few new tools and techniques have been developed in these exercises, they represent an unprecedented diffusion of forecasting, planning and participatory approaches to long-term issues. Futures approaches are, in consequence, far more officially acceptable and legitimate than in the past.     

Strategic spin-offs of input divisions

When a downstream producer enters backward into the input market, a “helping the rivals effect” exists: Such entry hurts the firm's downstream business as it increases upstream competition and thus benefits its rival downstream firms. This negative externality prevents the newly-created upstream unit from expanding. A spin-off enables the firm to credibly expand in the input market, thereby forcing its upstream competitors to behave less aggressively. Spin-offs occur in equilibrium if and only if the number of downstream firms exceeds a threshold level. When there is more than one integrated firm, a spin-off by a firm can trigger spin-offs by others that would not occur otherwise.     

Can micro-credit bring development?

We examine the long-run effects of micro-credit on development in an occupational choice model similar to Banerjee and Newman (JPE, 1993). Micro-credit is modeled as a pure improvement in the credit market that opens up self-employment options to some agents who otherwise could only work for wages or subsist. Micro-credit can either raise or lower long-run GDP, since it can lower use of both subsistence and full-scale industrial technologies. It typically lowers long-run inequality and poverty, by making subsistence payoffs less widespread. Thus, an equity-efficiency tradeoff may be involved in the promotion of micro-credit. However, in a worst case scenario, micro-credit has purely negative long-run effects. The key to micro-credit's long-run effects is found to be the “graduation rate”, defined as the rate at which the self-employed build up enough wealth to start full-scale firms. We distinguish between two avenues for graduation: “winner” graduation (of those who earn above-average returns in self-employment) and “saver” graduation (due to gradual accumulation of average returns in self-employment). Long-run development is not attainable via micro-credit if “winner” graduation is the sole avenue for graduation. In contrast, if the saving rate and self-employment returns of the average micro-borrower are jointly high enough, then micro-credit can bring an economy from stagnation to full development through “saver” graduation. Thus the lasting effects of micro-credit may partially depend on simultaneous facilitation of micro-saving. Eventual graduation of the average borrower, rather than indefinite retention, should be the goal of micro-banks if micro-credit is to be a stepping stone to broad-based development rather than at best an anti-poverty tool.     

Transfer fee regulations in European football

We analyze the impact of three different transfer fee systems on payoffs, contract lengths, training and effort incentives in European football. The different regimes, being used until 1995 (“pre-Bosman”), currently in use (“Bosman”), and recently approved (“Monti”) differ with respect to the transfer fee an initial club is entitled to depending on whether a player has a valid contract or not. We show that the different systems differ only with respect to the contract length if the contract which maximizes the expected joint surplus of the initial club and the player is feasible under each system. Otherwise, regime P is strictly dominated by regime B in terms of expected social welfare. Regime M leads to higher effort but lower incentives to invest in training compared to system B.     

Quantitative mapping of scientific research—The case of electrical conducting polymer nanocomposite

This study aims to understand knowledge structure both quantitatively and visually by integrating keyword analysis and social network analysis of scientific papers. The methodology proposed in this study is capable of creating a three-dimensional “Research focus parallelship network” and a “Keyword Co-occurrence Network”, together with a two-dimensional knowledge map. The network and knowledge map can be depicted differently by choosing different information for the network actor, i.e. country, institute, paper and keyword, to reflect knowledge structures from macro, to meso, to micro-levels. A total of 223 highly cited papers published by 142 institutes and 26 countries are analyzed in this study. China and the US are the two countries located at the core of knowledge structure and China is ranked no. 1. This quantitative exploration provides a way to unveil important or emerging components in scientific development and also to visualize knowledge; thus an objective evaluation of scientific research is possible for quantitative technology management.     

Review of Delphi-based scenario studies: Quality and design considerations

For meaningful scenarios, creative input concerning possible future trends is crucial. Herman Kahn, the father of modern scenario planning, underlined the importance of “thinking the unthinkable” in a significant scenario study. “Blessed with high intelligence, an assertive personality and the research capabilities of the RAND Corporation,” he could rely on genius forecasting. But how can this foresight be creative as well as simultaneously credible and objective if one does not possess Kahn's genius? In this article, we assess the incorporation of expert knowledge via the Delphi technique into scenario planning as a promising option. We discuss possible combinations and identify the span of design alternatives in the existing body of Delphi-based scenario studies through a systematic research review and provide recommendations on how a Delphi-based scenario study should be designed to ensure quality. We recommend focusing on the integration of the Delphi technique only in one phase of the scenario approach. In this way, the design options can be intentionally adjusted to the particular function. We further offer recommendations on how to accomplish this.     

Asymmetric English auctions

This paper studies equilibria of the n-bidder single-object English, or open ascending price, auction in a setting with interdependent values and asymmetric bidders. Maskin (in: H. Siebert (Ed.), Privatization, Institut fur Weltwirtschaften der Universität Kiel, Kiel, 1992, pp. 115-136.) showed that if the values satisfy a “single crossing” condition, then the two-bidder English auction has an efficient equilibrium. In this paper, two extensions of the single crossing condition, the “average crossing” condition and the “cyclical crossing” condition, are introduced. The main result is that under either of these conditions the n-bidder English auction has an efficient equilibrium.     

On the size and structure of group cooperation

When time preferences are heterogeneous and bounded away from one, how “much” cooperation can be achieved by an ongoing group? How does group cooperation vary with the group's size and structure? This paper examines characteristics of cooperative behavior in the class of symmetric, repeated games of collective action. These are games characterized by “free rider problems” in the level of cooperation achieved. The Repeated Prisoner's Dilemma games is a special case.We characterize the level of maximal average cooperation (MAC), the highest average level of cooperation, over all stationary subgame perfect equilibrium paths, that the group can achieve. The MAC is shown to be increasing in monotone shifts, and decreasing in mean preserving spreads of the distribution of discount factors. The latter suggests that more heterogeneous groups are less cooperative on average. Finally, in a class of Prisoner's Dilemma games, we show under weak conditions that the MAC exhibits increasing returns to scale in a range of heterogeneous discount factors. That is, larger groups are more cooperative, on average, than smaller ones. By contrast, when the group has a common discount factor, the MAC is invariant to group size.     

A behavioral characterization of plausible priors

Recent decision theories represent ambiguity via multiple priors, interpreted as alternative probabilistic models of the relevant uncertainty. This paper provides a robust behavioral foundation for this interpretation. A prior P is “plausible” if preferences over some subset of acts admit an expected utility representation with prior P, but not with any other prior Q≠P. Under suitable axioms, plausible priors can be elicited from preferences, and fully characterize them; also, probabilistic sophistication implies that there exists only one plausible prior; finally, “plausible posteriors” can be derived via Bayesian updating. Several familiar decision models are consistent with the proposed axioms.     

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.     

The Nash-threats folk theorem with communication and approximate common knowledge in two player games

We show that the use of communications to coordinate equilibria generates a Nash-threats folk theorem in two-player games with “almost public” information. The results generalize to the n-person case. However, the two-person case is more difficult because it is not possible to sustain equilibria by comparing the reports of different players, and using these “third parties” to effectively enforce contracts.     

Differentiating ambiguity and ambiguity attitude

The objective of this paper is to show how ambiguity, and a decision maker (DM)'s response to it, can be modelled formally in the context of a general decision model. We introduce a relation derived from the DM's preferences, called “unambiguous preference”, and show that it can be represented by a set of probabilities. We provide such set with a simple differential characterization, and argue that it is a behavioral representation of the “ambiguity” that the DM may perceive. Given such revealed ambiguity, we provide a representation of ambiguity attitudes. We also characterize axiomatically a special case of our decision model, the “α-maxmin” expected utility model.     

Infrastructures, incentives, and institutions: Fostering distributed knowledge bases for the learning society

While much attention has been devoted to information and communication technologies, a more fundamental change at the start of the new millennium is the increasing importance of innovation for economic prosperity and the emergence of a learning society. The analysis in this paper shows that innovation should be understood as a broad social and economic activity: it should transcend any specific technology, even if revolutionary, and should be tied to attitudes and behaviors oriented towards the exploitation of change by adding value.We build on the idea of inclusive learning, which entails a process of shared prosperity across the globe following local specific conditions, and argue that it is crucial to understand the features of knowledge-induced growth in rich countries, as well as the challenges and opportunities for late-industrialized and less-developed countries. To achieve these objectives, we emphasize the relative importance of infrastructures and incentives, but considering the increasingly important role of institutions towards the development of social capital. This is because learning societies will increasingly rely on “distributed knowledge bases” as a systematically coherent set of knowledge maintained across an economically and/or socially integrated set of agents and institutions.This broad concept has motivated the work behind the present paper, which builds on material presented at the 5th International Conference on Technology Policy and Innovation (ICTPI), which was held in Delft, The Netherlands, in June of 2001. Under the broad designation of “critical infrastructures,” the Conference brought together a range of experts to discuss technology, policy and management in a context much influenced by the dynamics of the process of knowledge accumulation, which drives learning societies. Thus, this special issue includes a set of extended contributions to the Delft conference, and the aim of this introductory paper is to set the stage for these contributions, with an original contribution on possible views on the role critical infrastructures play to foster innovation in the learning society.     

The measurement of rank mobility

In this paper we investigate the problem of measuring social mobility when the social status of individuals is given by their rank. In order to sensibly represent the rank mobility of subgroups within a given society, we address the problem in terms of partial permutation matrices which include standard (“global”) matrices as a special case. We first provide a characterization of a partial ordering on partial matrices which, in the standard case of global matrices, coincides with the well-known “concordance” ordering. We then provide a characterization of an index of rank mobility based on partial matrices and show that, in the standard case of comparing global matrices, it is equivalent to Spearman's ρ index.     

Utility Representation of an Incomplete Preference Relation

We consider the problem of representing a (possibly) incomplete preference relation by means of a vector-valued utility function. Continuous and semicontinuous representation results are reported in the case of preference relations that are, in a sense, not “too incomplete.” These results generalize some of the classical utility representation theorems of the theory of individual choice and paves the way towards developing a consumer theory that realistically allows individuals to exhibit some “indecisiveness” on occasion. Journal of Economic Literature Classification Number: D11.