Tracing emerging irreversibilities in emerging technologies: The case of nanotubes

This paper contributes to the development of methods for mapping and understanding the dynamics of emerging technologies. Our key concept is the notion of irreversibilities that emerge in the ongoing activities of researchers, institutes, policy makers and firms. Emerging irreversibilities denote the first socio-cognitive patterns that decrease the fluidity and openness, and that, eventually constrain and enable future activities. To trace the emerging irreversibilities we focus on the dynamics of expectations and the agenda building processes. A three-level framework is presented to analyse and visualise the dynamics in three interrelated contexts: the level of the research groups, the technological field and the society. This three-level framework allows the analyst to study different perspectives of a specific case and at the same time retain overview of the situation. By applying it to a particular application in nanotechnology, we will show that it is possible to trace the emerged irreversibilities. To conclude, we will discuss how the analysis of early dynamics is a vital ingredient of technology assessment studies that, indirectly (by means of the involved actors), seeks to influence the technological development at stake. By placing the constructive technology assessment (CTA) approach in a historical perspective of technology assessment, we will show the relevance of our method for CTA studies.     

Evaluating innovation networks in emerging technologies

Interorganisational innovation networks are increasingly important for innovation in emerging technology fields. The performance of such networks can have a large impact on the future development of emerging technologies. A useful framework for the evaluation of innovation networks however does not yet exist. In this paper, such a framework is developed, using elements of the social network analysis literature and the resource-based view. This framework is subsequently applied to compare two policy-driven innovation networks: 1) the Center for Translational Molecular Medicine; and 2) the BioMedical Materials program. Based on this first empirical exploration of the framework implications for management and further policy development are formulated.     

Tailoring CTA for emerging technologies

Technology assessment (TA) has developed into a method that puts a strong emphasis on facilitating interfaces between supply of science and technology and the demand for useful applications. Recently, we also see that TA becomes an integral part of science and technology programs, for instance in nanotechnology. The basic aim of the latter is to articulate the needs, wishes, and constraints, for example from professional users, already in the emerging stage of technological development. TA methods come in many different forms, although they are often different versions of a limited set of ‘basic approaches’ adapted to specific conditions with the overall aim to improve societal embedding. The thrust of this paper lies in the development and results of a variant of constructive TA (CTA), addressing technological development in an early phase in order to bypass the Collingridge dilemma by developing and testing scenarios including options for the further development of emerging technologies.How to support a broad selection of relevant actors effectively with CTA in such a way that they are enabled to play their role in innovation processes of emerging technologies? This is the main research question taken up in this paper. To take on this challenge we develop, apply, and evaluate an intervention we named the 3-step constructive technology assessment (CTA) approach. We will apply the approach to a nanotechnology related topic, Lab-on-a-chip technology. By assessing the effects and evaluating the proposed approach, we also want to contribute to the development of new methodological insights relevant for the TA community.     

Unveiling opportunities afforded by emerging technologies: evidences from the drone industry

In recent decades, researchers and practitioners have increasingly focused on how to develop breakthrough technologies. Notwithstanding this, companies still face the problem of understanding the opportunities enabled by technologies from the early stage of development. The technology management literature highlights that development is usually managed by adopting one of two approaches: normative or explorative. However, in using the latter approach focused on developing emerging technologies, unanswered questions remain. In particular, this paper aims to shed light on the strategies that companies adopt to unveil the opportunities enabled by emerging technologies. Analysing the drone industry using an exploratory case study approach, we investigate the strategies that companies implement to guide technology development to address more meaningful application fields. Using the Federal Aviation Administration database, we identify four possible strategies to develop emerging technologies: focus, deep, broad, and holistic.     

新兴技术演化模式研究及其管理启示

新兴技术对传统产业的破坏对象有两类——核心经营活动和核心资产。按照破坏对象的不同,本文从核心资产颠覆和核心经营活动颠覆两个维度将新兴技术的演化模式划分为三种类型,并结合具体的实例对所提出的三种新兴技术演化模式的特点进行分析。在此基础上,针对不同类型的新兴技术演化模式,总结了差异化的管理启示。     

The dual analytic hierarchy process to prioritize emerging technologies

Recently, an analytic hierarchy process (AHP) has been frequently used as a proper tool for a wide variety of decision-making situations in fields such as government, business, industry, healthcare, and education. In this article, we will mainly focus on the use of the AHP to select proper emerging technologies for future R&D at a country level. For successful completion of our project, we propose to use the dual AHP (DAHP) which consists of the regular AHP and the Bayesian type AHP. This DAHP performs useful features when decomposition of the main criteria is desirable but is not technically feasible via the conventional AHP. As an empirical application, appropriate electronic device technologies for future R&D in Korea are found by the DAHP, which reveals that DAHP-led technologies selection (or DAHP-led resources allocation) at a country level is a many-faceted problem.     

From innovation to market entry: a strategic management model for new technologies

In this paper, we introduce a new framework that generates a list of strategic actions to support successful management of the innovation process as new technologies are taken to market. The framework links different stakeholders inside and outside the organisation to obtain an holistic view of the requirements necessary to develop the new technology. It integrates and synthesises existing frameworks into an inclusive set of guidelines. The framework is then tested in a case study located in a mid-size semiconductor organisation currently seeking new business opportunities in the emerging photovoltaic market. We conclude by reflecting on the usefulness of the model. Theoretically, the paper contributes to the literature on the management of the introduction of new technologies; practically, the framework provides a normative tool for practising managers.     

Patterns of expectations for emerging sustainable technologies

Innovation is characterized by uncertainties, high risks, large investments and late returns on investment which make it a complex process. This is particularly true for sustainable innovation where market forces alone cannot be relied upon to realize the desired transitions. Insight in the dynamics of such innovation processes is necessary in order to influence technological change toward a more sustainable direction. However, few instruments and indicators are available to assess the performance of emerging technological innovation systems. In this phase competition often takes place based on expectations rather than on technological performance. This paper therefore focuses on the expectation patterns of technological innovation systems in the exploratory phase through the analysis of the expectation dynamics of three emerging technologies in the field of sustainable mobility within the Netherlands: biofuels, hydrogen as a transport fuel and natural gas as a transport fuel. These technologies do not only compete with the current fossil-fuel based system but also with each other. We have collected over 5000 expectation events regarding these technologies for the period 2000–2008 and discuss the insights generated by the comparison of the observed expectation dynamics to theoretical patterns.     

Characterising a technology development at the stage of early emerging applications: nanomaterial-enhanced biosensors

We devise future-oriented technology analyses tools to investigate a technology at an interesting development stage of early emerging applications. At this stage, technologies show great potential with little established commercialisation. Future development pathways are highly uncertain and heavily dependent on contextual interactions. We apply R&D profiling, R&D-to-applications cross-charting, and technology delivery system modelling to help understand the phenomena that bear upon development prospects. We develop our approach through a two-tier case study: general treatment of nanomaterial-enhanced biosensors, followed by more specialised treatment of one subset of those. Results convey the importance of considering technological and social context factors together to understand likely innovation pathways.     

Knowledge spillovers and R&D subsidies to new,emerging technologies

Is knowledge spillover a rationale for supporting R&D on new, emerging technologies more than R&D on other technologies? In this paper, I analyze whether innovation externalities caused only by knowledge spillovers differ between technologies of different maturity. I show that R&D should not be subsidized equally across industries when the knowledge stocks differ. This is because knowledge spillovers depend on the size of the knowledge stock and the elasticity of scale in R&D production. R&D in the emerging technology should be subsidized more when the elasticity is smaller than one. However, R&D in the mature technology should be subsidized more when the elasticity is larger than one.     

新兴技术产业化潜力评价及其特征研究

将技术预见的方法和思想运用于新兴技术产业化潜力评价与新兴技术选择中,建立了新兴技术产业化潜力评价指标体系。通过德尔菲问卷调查对28个奥运洁净能源专项项目技术的产业化潜力进行了实证研究,并根据新兴技术产业化潜力的大小将待评价技术分为两组,通过配对样本t检验对导致产业化潜力差异的新兴技术的技术特征、市场特征以及其他特征进行识别和研究,找出影响新兴技术产业化潜力的决定因素。结果表明:新兴技术的技术特征包括形成技术标准和成为主导技术两个子特征;市场特征和符合性特征是决定新兴技术产业化潜力的重要因素。在评价和选择新兴技术时,既要考虑新兴技术产业化潜力的综合评价结果,又要考虑影响新兴技术产业化潜力的重要特征,这样才能保证决策的科学性和准确性。     

Analysis of technological progression by quantitative measures: a comparison of two technologies

It is apparent that quantitative information embedded in databases has significant value in analysing technological development. Studies applying different approaches have produced valuable case specific or policy related results by analysing quantitative data. Quantitative measures that would concentrate on monitoring technological progression, not individual organisations or topics, are seldom found. However, quantitative tools for monitoring technological progression would be practical as managers are trying to decide when to exploit new technologies. This paper presents the result of two emerging technologies, focusing on quantitative measures of analysing technological progression that would be objective, reproducible and valid across different technologies. The results from these two technologies help to validate measures that would focus, not on specific research organisations or research topics, but on the maturity of technologies.     

A Minskyan account of emerging currencies dynamics

Abstract

The currencies of a few emerging market economies (EMEs) have been following a specific dynamic since the early 2000s: They are strongly subordinated to international financial conditions, appreciating in moments of tranquility and presenting sharp depreciations in peaks of uncertainty. What is the mechanism behind it? To answer this question, this article applies the Minskyan framework to the context of money managers and their portfolio allocation decisions. The approach provides a detailed account of the mechanisms of the appreciation phase, thus complementing the emerging currencies’ literature that is focused on crisis episodes. The result is a dynamic characterized by deviation-amplifying systems—the opposite of the mainstream view where fundamentals lead to an equilibrium-seeking mechanism. Apart from these contributions to the exchange rate literature, it enriches the Minskyan literature for providing a broader reading of the original framework that allows it to be transposed to a larger set of contexts and for identifying the main elements to be translated in an analysis of a different context.     

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.     

Forecasting emerging technologies: Use of bibliometrics and patent analysis

It is rather difficult to forecast emerging technologies as there is no historical data available. In such cases, the use of bibliometrics and patent analysis have provided useful data. This paper presents the forecasts for three emerging technology areas by integrating the use of bibliometrics and patent analysis into well-known technology forecasting tools such as scenario planning, growth curves and analogies. System dynamics is also used to be able to model the dynamic ecosystem of the technologies and their diffusion. Technologies being forecasted are fuel cell, food safety and optical storage technologies. Results from these three applications help us to validate the proposed methods as appropriate tools to forecast emerging technologies.     

On the evolution of technological specialization patterns in emerging countries: comparing Asia and Latin America

This paper explores the role of technological opportunity and cumulativeness in the evolution of technological specialization patterns (TSP) in catching-up processes. Concretely, I assume that opportunity induces mobility while cumulativeness leads to diversification and stability. The empirical analysis uses patent data indicators for nine Asian and Latin American countries between 1978 and 2012. The paper shows that, during economic liberalization (although with different timings), emerging countries caught up and redefined the path of technological accumulation for Asian and Latin American countries. With the exception of Hong Kong, all the countries increased their technology share, but they ran in different directions. Asian countries made greater relative efforts in dynamic technologies, while Latin American countries focused on stagnant technologies. In this sense, Asian countries achieved a more successful performance, building new technological bases and taking a technological leap in some of the more dynamic technologies. Meanwhile, Latin American countries left their technological bases unchanged. The paper also shows that, at the beginning of the catching-up cycle, the TSPs were turbulent. Afterwards, cumulativeness in the technological choice induced the diversification and stabilization of the TSPs.     

Editor's introduction: Distributional consequences of emerging technologies

Emerging technologies have a great potential to exacerbate inequalities. The papers in this special section represent case studies of the ways five different technologies interacted with particular national contexts to produce distributional effects. A central hypothesis of the study was that the same technological project would have different distributional consequences under different national conditions; this was confirmed. Public interventions shaped the trajectories of the technological project through intellectual property and anti-trust provisions as well as regulations, much more than through the research agenda itself. These technologies were not associated with large gains or losses in jobs, but rather with modest shifts downward in numbers and upwards in skill requirements. Price was not the only determinant of how far the technologies diffused; skills and infrastructure were also important. In sum, distributional consequences take many forms. “Diffusion” consists of both push and pull, need and absorptive capacity. The relevant decision makers are in both the public and private sectors, and a broad range of policies affects this process, not just science, technology, and innovation policies. There are many options for public intervention, but no one size fits all countries.¹     

Ready-steady-go for emerging technologies in post catch-up countries: a longitudinal network analysis of nanotech in Korea

This paper presents a case study of government R&D nanotech networks in Korea to elaborate the characteristics of post catch-up countries on the border line between developing and developed countries. Using to longitudinal network analysis, this paper examines expectation building and learning process as key components for the emerging technology development during the post catch-up era. Findings suggest that a change of the global R&D landscape sparks the development of emerging technologies by expectation building and resource attraction for technology development. Prior to this spark, however, an internal learning mechanism is ready for the development process.     

新兴技术演化的整体性分析框架：“三要素多层次”共生演化机理研究

新兴技术演化是在技术自身、市场需求、配套环境、企业能力等众多要素的共同作用下完成的。本文对企业能力、市场需求和配套环境与新兴技术之间的共生演化机理进行了探讨,提出了一个新兴技术"三要素多层次共生演化"模型,旨在通过研究本模型为揭示新兴技术演化过程的特征提供一个多视角的整体性分析框架,为进一步从不同层面、不同角度深入研究新兴技术演化提供理论指导。     

Multi-path mapping for alignment strategies in emerging science and technologies

Roadmapping serves both short and long term (strategic) alignment in science and technology (S&T). Forecasts of the likely future development of S&T are generated; then research and development (R&D) efforts necessary to realize various goals are backcast. But for new and emerging S&T this trusted principle does not work: the likely products are not articulated yet. A promising approach however is building mapping tools based on underlying patterns and indicators of the dynamics of emergence. This paper discusses, based on a first round application in the field of micro and nanotechnologies for single cell analysis, the methodology of such a new approach. The work is linked to a programme of Future oriented Technology Assessment (FTA) activities coordinated within a European nanotechnology research network.

Our paper addresses well-known lacunae of alignment tools from the viewpoints of the path creation/dependency literatures. We then apply these insights to lab-on-a-chip devices for cell analysis. Dynamics of emerging paths can be used to articulate a future structured in terms of prospective innovation chains and potential paradigms. We demonstrate a plausible variety of paths, which provides a broader set of strategic choices. This enables management of expectations and hype by which emerging S&T are characterised, and leads to alignment of actors. Our tool can be applied in strategic management of research and R&D at the level of science-to-industry networks. These are becoming an important element in European S&T policy but will only be successful if ways are found for closing gaps in the innovation chain.