Democratic revolutions as institutional innovation diffusion: Rapid adoption and survival of democracy

Recent ‘democratic revolutions’ in Islamic countries call for a re-consideration of transitions to and from democracy. Transitions to democracy have often been considered the outcome of socio-economic modernization and therefore slow and incremental processes. But as a recent study has made clear, in the last century, transitions to democracy have mainly occurred through rapid leaps rather than slow and incremental steps. Here, we therefore apply an innovation and systems perspective and consider transitions to democracy as processes of institutional, and therefore systemic, innovation adoption. We show that transitions to democracy starting before 1900 lasted for an average of 50 years and a median of 56 years, while transitions originating later took an average of 4.6 years and a median of 1.7 years. However, our results indicate that the survival time of democratic regimes is longer in cases where the transition periods have also been longer, suggesting that patience paid in previous democratizations. We identify a critical ‘consolidation-preparing’ transition period of 12 years. Our results also show that in cases where the transitions have not been made directly from autocracy to democracy, there are no main institutional paths towards democracy. Instead, democracy seems reachable from a variety of directions. This is in line with the analogy of diffusion of innovations at the nation systems level, for which assumptions are that potential adopter systems may vary in susceptibility over time. The adoption of the institutions of democracy therefore corresponds to the adoption of a new political communications standard for a nation, in this case the innovation of involving in principle all adult citizens on an equal basis.     

Agent-based modeling of the diffusion of environmental innovations — An empirical approach

This paper presents an agent-based model of the diffusion of water-saving innovations. The empirical foundation of this model is a study, which was carried out for that specific purpose. As an example case, the diffusion of three water-related innovations in Southern Germany was chosen. The model represents a real geographic area and simulates the diffusion of showerheads, toilet flushes, and rain-harvesting systems. Agents are households of certain lifestyles, as represented by the Sinus-Milieus® from commercial marketing. Agents use two different kinds of decision rules to decide upon adoption or rejection of the modeled innovations: A cognitively demanding deliberate decision rule and a very simple decision heuristic. Thus, the model integrates concepts of bounded rationality. The overall framework for decision-making is the Theory of Planned Behavior, which has been elaborated using innovation characteristics from diffusion research. The model was calibrated with empirical data stemming from a questionnaire survey and validated against independent data. Scenarios for the nearer future show that water-saving innovations will diffuse even without further promotion, and different promotion strategies that relate specifically to both innovations and lifestyles can be pointed out.     

Innovation adoption and diffusion when there are competing innovations

Firms face a choice between two innovations without knowing which of the two is better. Each firm has a prior that one of the innovations is better, which is updated by Bayes rule as trials with the innovations are made. A simple decision rule indicating which innovation should be tried, given any posterior, is derived and used to define an expected diffusion curve for the better innovation. This curve has the commonly observed ogive shape, even in the absence of any external demonstration effect, when the distribution of firm priors belongs to a general class.     

What influences the diffusion of grassroots innovations for sustainability? Investigating community currency niches

Community action for sustainability is a promising site of socio-technical innovation. Here we test the applicability of co-evolutionary niche theories of innovation diffusion (strategic niche management, SNM) to the context of ‘grassroots innovations’ (GIs). We present new empirical findings from an international study of 12 community currency niches (such as Local Exchange Trading Schemes, time banks, and local currencies). These are parallel systems of exchange, designed to operate alongside mainstream money, meeting additional sustainability needs. Our findings confirm SNM predictions that niche-level activity correlates with diffusion success, but we highlight additional or confounding factors, and how niche theories might be adapted to better fit civil society innovations. In so doing, we develop a model of GI niche diffusion which extends existing work and tailors it to this specific context. The paper concludes with a series of theoretically informed recommendations for practitioners and policy-makers to support the development and potential of GIs.     

The take-off of an interactive innovation: Evidence from China

An interactive innovation can be defined as an end-user application which is subject to network effects at both the demand and supply sides. As a result of network effects, the diffusion of such an innovation is predicted to follow a take-off curve coinciding with the advent of a critical mass of adopters. The current literature on innovation diffusion, mainly focusing on the demand-side dynamics, such as information cascades and herding behaviors among potential adopters, is not sufficient to explain the take-off (or the failure) of interactive innovations. In this paper, we present and examine a case study of the take-off of an interactive innovation, namely the caller-ring-back-tone (CRBT) and mobile music - mobile value-added services (MVAS) - in China. We find that supply-side dynamics, such as choices of platform strategies, helped drive the take-off of this innovation within China's institutional boundaries. The paper makes a contribution in two ways: first, it presents an ‘inside-out’ view of a unique case of take-off phenomenon; and, second it provides an integrated view combining factors from both the demand and supply sides to explain the take-off phenomenon, which is rare in empirical studies.     

Establishment and embedding of innovation brokers at different innovation system levels: Insights from the Dutch agricultural sector

In the systems perspective on innovation, co-operation between several different types of actors is seen as key to successful innovation. Due to the existence of several gaps that hinder such effective co-operation, the scientific and policy literature persistently points at the need for intermediary organizations to fulfill bridging and brokerage roles. This paper aims to provide an overview of the insights from the literature on such ‘innovation brokers’, and to contribute to the literature by distilling lines of enquiry and providing insights on one of the lines identified. Taking as an empirical basis experiences with different types of innovation brokers that have emerged in the Dutch agricultural sector, it identifies a number of tensions with regard to the establishment and embedding of such organizations. The paper indicates that, despite being perceived to have a catalyzing effect on innovation, innovation brokers have difficulty in becoming embedded as their clients and/or financiers find it difficult to grasp the nature and value of their activities.     

The choice of innovation policy instruments

The purpose of this article is to discuss the different types of instruments of innovation policy, to examine how governments and public agencies in different countries and different times have used these instruments differently, to explore the political nature of instrument choice and design (and associated issues), and to elaborate a set of criteria for the selection and design of the instruments in relation to the formulation of innovation policy. The article argues that innovation policy instruments must be designed and combined into mixes in ways that address the problems of the innovation system. These mixes are often called “policy mix”. The problem-oriented nature of the design of instrument mixes is what makes innovation policy instruments ‘systemic’.     

Learning towards system innovation: Evaluating a systemic instrument

In this paper we develop an analytical framework for studying learning processes in the context of efforts to bring about system innovation by building new networks of actors who are willing to work on a change towards sustainable development. We then use it to evaluate two specific intervention programmes carried out by a self-proclaimed ‘system instrument’. The framework integrates elements from the Innovation Systems approach with a social learning perspective. The integrated model proposes essentially that these kinds of systemic instruments can serve to enhance conditions for social learning and that such processes may result in learning effects that contribute to system innovation by combating system imperfections. The empirical findings confirm the assumption that differences in learning can be explained by the existence or absence of conditions for learning. Similarly, the existence or creation of conducive conditions could be linked to the nature and quality of the interventions of the systemic instrument. We conclude that the investigated part of the hypothesised model has not been refuted and seems to have explanatory power. At the same time we propose that further research is needed among others on the relation between learning, challenging system imperfections and system innovation.     

Nonlinear dynamism of innovation and business cycles

The aim of this paper is to describe the nonlinear dynamism of innovation and to clarify the role of innovation for economic development in terms of Kondratiev business cycles, especially the causal relation of the bubble economy and depressions with innovations. Any paradigm of technological innovation develops within a definite time span reaching maturity. This nonlinear nature clarifies many characteristic features of innovation. Schumpeters innovation theory on business cycles is examined through this dynamism. Trunk innovation is defined as that which plays a decisive role in building infrastructures and inducing subsequent innovations. Every innovation has its own technological development period just before the innovation diffusion. The emergence of new markets can be estimated by chasing the ongoing technologies.JEL Classification: E32, L16, O11, O14, O30Paper presented at the 9th Conference of the International J.A. Schumpeter Society, Gainesville, Florida, USA.Previous affiliation was Ryutsu Kagaku University, Faculty of Information Science, Kobe, Japan.     

Consumer support for environmental policies: An application to purchases of green cars

This paper focuses on how consumer motivation can be tapped in order to encourage the adoption of cleaner technologies. Consumers are heterogeneous — they may be guided by intrinsic motivation or extrinsic motivation. While information provision policies (such as the energy label for cars) may be effective in encouraging certain consumers to adopt green cars, financial incentive schemes (such as subsidies or fines) may be more persuasive for extrinsically-motivated consumers. We develop a dynamic theory of adoption of environmental innovations, in which information-provision policies are followed by financial incentives (first ‘carrot’, then ‘stick’ incentives). Analysis of a survey dataset of Swiss households observes considerable heterogeneity in terms of support of information-provision or financial incentive policies, in line with our conjectures. Our results will be of particular interest to policymakers interested in guiding consumers towards cleaner technologies.     

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.     

Functions of innovation systems as a framework to understand sustainable technological change: Empirical evidence for earlier claims

Understanding the emergence of innovation systems is recently put central in research analysing the process of technological change. Especially the key activities that are important for the build up of an innovation system receive much attention. These are labelled ‘functions of innovation systems’. This paper builds on five empirical studies, related to renewable energy technologies, to test whether the functions of innovation systems framework is a valid framework to analyse processes of technological change. We test the claim that a specific set of functions is suitable. We also test the claim made in previous publications that the interactions between system functions accelerate innovation system emergence and growth. Both claims are confirmed.     

Technological innovation and complexity theory

Complexity theory has become influential in recent models in social science. In the context of innovations and new technologies, most applications have focused on technology adoption and technology diffusion, whereas the topic of the innovation process has received less attention. This paper discusses three families of complexity models of technological innovation: fitness landscape models, network models and percolation models. The models are capable of analysing complex interaction structures (between components of technologies, between agents engaged in collective invention) while avoiding ‘over-parameterisation’. The paper ends with discussing the methodological challenges and critiques regarding the application of complexity theory that remain.     

Arenas of expectations for hydrogen technologies

Technological development is often described as an evolutionary process of variation, selection and retention. Different technologies are seen as variations, while the market and other institutions operate as a selection environment. It is less understood, however, how variation and selection relate in the case of emerging technologies. In this paper we introduce the concept of arenas of expectations to examine the relationship between variation and selection processes. Expectations are of particular interest in a pre-market phase of innovation, when performance, cost and other market criteria are less articulated and not stable. In arenas of expectations ‘enactors’ of particular technological variations voice and maintain expectations, while ‘selectors’ will compare and assess the competing claims. We analyse the expectations work of both parties in a case study on metal hydrides for the on-board storage of hydrogen for automotive applications. The paper concludes with a framework of ‘arenas of expectations’ as the linchpin between the processes of variation and selection of emerging technologies.     

Inter-firm diffusion of process innovations

This paper introduces a model of the diffusion of process innovations. It predicts that the inter- firm diffusion curve, showing the proportion of firms having adopted a given innovation, will follow either a cumulative normal time path for major and technically complex innovations or a cumulative lognormal time path for simpler and less expensive innovations. This prediction is tested, with satisfactory results, against data on the diffusion of various innovations in the U.K. The model also provides a limited explanation of why some firms adopt faster than others and identifies a number of factors which will determine the aggregate speed of diffusion.     

Learning or lock-in: Optimal technology policies to support mitigation

We investigate conditions that amplify market failures in energy innovations, and suggest optimal policy instruments to address them. Using an intertemporal general equilibrium model we show that ‘small’ market imperfections may trigger a several decades lasting dominance of an incumbent energy technology over a dynamically more efficient competitor, given that the technologies are very good substitutes. Such a ‘lock-in’ into an inferior technology causes significantly higher welfare losses than market failure alone, notably under ambitious mitigation targets. More than other innovative industries, energy markets are prone to these lock-ins because electricity from different technologies is an almost perfect substitute. To guide government intervention, we compare welfare-maximizing technology policies including subsidies, quotas, and taxes with regard to their efficiency, effectivity, and robustness. Technology quotas and feed-in-tariffs turn out to be only insignificantly less efficient than first-best subsidies and seem to be more robust against small perturbations.     

Can corporate social responsibility resolve the sanitation question in developing Asian countries?

The existing state of sanitation in developing Asian countries fails to deliver a level of service that is adequate for meeting the human right to a standard of living consistent with dignity and health, or for sustaining the capacity for future generations to have access to clean water resources and healthy ecosystems. We argue that translating the current neo-centralised technologies and institutional arrangements mainstreamed by industrialised countries would not resolve the problem in the context of developing countries. Instead it is necessary to ‘leap frog’ to the emerging technological and institutional arrangements that are responsive to current needs and contexts and to potential risks. The sustainability focus and often decentralised technologies of this emergent stage in sanitation present many opportunities for new actors to enter the urban sanitation industry. At the same time, there are many barriers to entry, particularly from the perspective of conventional business management focused on increasing shareholder value.We propose that perspectives from the corporate social responsibility discourse have the potential to provide both the ‘pull’ for seizing the business opportunity for profit while serving social needs, and the ‘push’ to overcome the barriers in order to serve a wider social purpose for corporations. The wealth of nations, at least as reported in ubiquitous GDP terms, has greatly increased through the activities of corporations driven by a profit motive; but the increased poverty, injustice and ecosystem degradation that have resulted from economic activity suggest that corporations perhaps ought to have regard for broader concerns beyond shareholder value. We explore how the alternative relational view of a corporation, as a metaphorical person within society who adopts a moral code consistent with both Buddhist economics and Adam Smith's philosophy, may facilitate profitable corporations that provide better economic, ecological and social outcomes in serving the need for sustainable sanitation services in developing Asian countries.     

The patterns of induced diffusion: Evidence from the international diffusion of wind energy

Recent years have seen growing academic interest in the concept of induced diffusion as efforts to address concerns about energy security and climate change have intensified. Research on induced diffusion explores whether policy tools or interventions can incentivise the diffusion of innovations. This body of literature has explored the effectiveness and efficiency of various policy interventions and as such has been mainly concerned with the determinants of diffusion. This paper is, by way of contrast, concerned with the patterns of diffusion when diffusion is induced. Drawing on the Bass and Davies models of innovation diffusion we develop a number of propositions that suggest that the patterns of diffusion are different when policy plays a role in the diffusion process. These propositions are then econometrically tested in the context of the international diffusion of wind energy in 25 OECD countries. We find that, as predicted, without effective and strong policy interventions, countries will have conventional logistic diffusion with very similar speeds of diffusion. However, as expected the patterns of diffusion take on a different functional form (Bass curve) when there is a strong policy inducement. We conclude by discussing the implications and limitations of these results and suggesting avenues for further research.     

Innovation in the Service Sector Results from the Italian Statistical Survey

This acticle provides fresh empirical evidence on the relevance and nature of innovation activities in the service sector. The evidence can be summarized as follows: Technological innovation is quite a diffused phenomenon in market services: more than one-third of surveyed firms have introduced technological innovations during the period 1993–95. The amount of financial resources devoted to innovation varies widely across service sectors. Financial, computing and software, engineering, and telecommunication services are the most innovative service sectors. Most service firms can distinguish between innovations in services and in processes. Process innovation emerges as the most diffused typology. Service firms rely on a wide range of innovation sources. The acquisition and development of software and investment in machinery are the most cited. Investment, R&D, and software are the major components of firms’ innovation expenditure. Major obstacles for introducing technological innovation are of an economic nature, that is, cost and risk too high. The two most important objectives of firms’ innovation strategies consist of improving service quality and reducing cost. Technological information is drawn mainly from in-house production departments as well as from outside suppliers of equipment, materials, and components. Public and private research institutions as well as patents and licenses play a very marginal role. Finally, in the near future the importance of technology for firms’ performance is expected to increase in service industries.