A visual scanning of potential disruptive signals for technology roadmapping: investigating keyword cluster,intensity, and relationship in futuristic data

Technology roadmapping of today’s era is necessarily based on comprehensive scanning of various signals with the disruptive potential in future paths of market, product, and technology. Previous attempts of data-driven technology roadmaps have mainly focused on data from such sources as patents and literatures. However, as these sources catalogue posteriori trends of evolution, roadmaps based on these data cannot be counted on to predict disruptions. In this regard, futuristic data in technology foresight websites may provide a better source. The objective of this research, in response, is to develop a support system for technology roadmapping that uses futuristic data. To this end, we suggest keyword-based visual scanning approach involving three keyword maps, used in succession: keyword cluster map, keyword intensity map, and keyword relationship map. Particularly, keyword intensity map is designed using weak signal theory which can help identify the visibility, diffusion, and interpretation of signals.     

Dealing with the dynamics of technology roadmapping implementation: A case study

Nowadays, companies are facing many challenges. The product life cycle is getting shorter while the complexity and the demand for product customization are increasing. Technology Roadmapping (TRM) has been widely used as a strategic management tool to help organizations in effectively identifying potential products or services for the future, determining proper technology alternatives, and mapping them with resource allocation plans. With the completion of TRM implementation, any organization can be assured that its required technologies and infrastructures will be ready when needed. Implementing TRM as a part of the ongoing strategic/business planning process is challenging because it may affect the organizational work process, structure, and culture. Therefore, an organization needs to understand how the changing roles and responsibilities of key players involved in the TRM process match with the dynamics of TRM implementation in each stage. This paper illustrates the dynamics of TRM implementation and presents a case study to demonstrate how one of the leading building product manufacturers in the ASEAN region went through the process.     

Roadmapping a disruptive technology: A case study: The emerging microsystems and top-down nanosystems industry

If technological roadmapping is important in the process of rapid technology commercialization, and if a method tailored to roadmapping nascent disruptive technologies does not exist, and if these very same disruptive technologies portend to be the future economic engines for firms, countries, and regions, then there is cause for concern. This article seeks to shed some light on the process in industrial disruptive technology roadmapping by focusing on the fundamental differences between sustaining and disruptive technologies. This article investigates the utility of theoretical and practitioner traditional technology roadmapping tools in an international industrial roadmapping effort focusing on microtechnology and top-down nanotechnology. I then modify the traditional technology roadmapping approaches generating a model for an industrial worldwide disruptive technology roadmapping process. I utilize the International Industrial Microsystems and Top-Down Nanosystems Roadmap (IIMTDNR) effort, which included nearly 400 people, from nearly as many firms, from over five continents and was developed over a 5-year period. The IIMTDNR process is used to provide the basis for a model for a commercial disruptive technology roadmapping process.     

A technology opportunities analysis model: applied to dye-sensitised solar cells for China

Technology opportunities analysis (TOA) can support policy-makers or managers in making strategic technical decisions so as to enhance their technological innovation capability and international competitiveness. This paper presents a multi-level framework to support and systematically identify technological opportunities. Patent data as a key component of technology innovation are used to enable TOA within the framework in the present research. At the research and development (R&D) level, we anticipate the directions of technology development based on technology morphology. Countries’ development emphases can also be investigated in order to help identify their R&D strengths and weaknesses and to seek promising development pathways. At the level of competition, we devise the assignee-technology analysis to obtain insight into competitive participants’ technical emphases and intents. It is also used to explore possible collaboration opportunities among them. At the market level, we apply patent family analysis to understand countries’ target markets and to assess prospects for the commercialisation of their technology. We pursue TOA to explore China's opportunities and challenges in dye-sensitised solar cells. The empirical case analysis supports the effectiveness of the TOA model. We believe it can be adapted well to fit other emerging technologies.     

Risk premium,macroeconomic shocks,and information technology: an empirical analysis

This study empirically identifies the impact of various macroeconomic factors on the default risk premium. Using monthly data for the period 1970–2010 for the US, our estimations indicate that the monetary policy aggregates, risk-free interest rate, term structure of interest rates, inflation, and the state of the business cycle influence the risk premium. The results also provide some evidence in support of the hypothesis that the development of information technology has had a decreasing impact on the risk premium. As expected, various financial crises have had substantial and long-lasting effects on the premium. The results suggest that the direct impact of the subprime crisis and Lehman’s collapse on the risk premium was as large as two and a half percentage-points for a sustainable period. Foreign financial crises, in turn, have lowered the risk premium in the US market, suggesting a flight-to-safety phenomenon.     

Organisational change, technology, employment and skills: an empirical study of French manufacturing

This paper analyses the correlations between technological change,organisational change and skill change using a survey on organisationalchange in manufacturing firms conducted in 1993. Considerablediversity is allowed for in terms of the measure of technologicaland organisational change, and the analysis shows a positivecorrelation between technological change and reorganisations,whatever their types. The paper then analyses the relationshipsbetween these changes and the employment behaviour of firms.It shows that changes in the required skills and in the occupationalstructure of firms are more closely connected to organisationalthan to technological change. Although organisational changeaffects the work content and skill requirements of blue collarworkers, it is mainly indirect workers that are affected interms of the number employed. Finally, the analysis shows thattechnology tends to stabilise the workforce whereas the movetowards the model of ‘flexible enterprise’ favoursits renewal.     

A technology replacement model with variable market potential — An empirical study of CRT and LCD TV

The rapidly changing economic environment and increasingly fierce competition indicate that companies must innovate in both their products and marketing strategies if they are to continue to flourish. Specifically, the ability to accurately predict the demand for products is crucial when firms decide to allocate their resources, especially in the fast moving high technology industries, where there is very high investment in R&D and production facilities. This study establishes a forecast model for technology replacement based on the diffusion model with population growth used for the variable market potential. The proposed model is then applied to investigate the CRT and LCD TV market.The results suggest that the new model is more accurate than the constant market potential model in fitting and forecasting performance. Consumers who purchase a TV for the first time are likely more attracted to LCD TV rather than CRT TV. As for those individuals who already own a CRT TV, the attraction is not strong enough to encourage them to replace their current CRT TV with a new LCD TV. Moreover, it is noted that the falling price of LCD TV is an essential factor in encouraging purchases.     

Innovation forecasting: A case study of the management of engineering and technology literature

The following paper contributes to the methodology of innovation forecasting. The paper analyzes the literature of engineering and technology management. A brief history and justification for interest in engineering and technology management is presented. The field has a sixty year history of interdisciplinary, and is therefore a ripe source for closer investigation into time trends of knowledge. The paper reviews the literature of innovation forecasting, examining a range of theoretical and methodological literatures interested in the evolution of knowledge. A new application of a model, suitable for sparse and count-like publication data, is presented. A mathematical presentation of the model is offered. A discussion is offered on how the model may be implemented in an approachable way within spreadsheet software. A time history of engineering management literature is extracted from a database and analyzed using the model. A projection of keyword growth is offered, and key features of the emerging knowledge base within engineering management are discussed. Recommendations for future research, as well as for those monitoring the status of the discipline of engineering management, are made.     

International diffusion of embodied and disembodied technology: A network analysis approach

This study proposes a quantitative method for investigating the structure of international technology diffusion. By using network analysis, this study defines the structural configuration of each country within the international diffusion network by measuring its degree, closeness, and betweenness centralities. In addition, this study distinguishes between embodied technology diffusion, measured by multilateral trade, and disembodied technology diffusion, measured by patent citations, in individual countries. This study empirically tests a sample data set of international technology diffusion taken from 48 countries. The empirical results show that the structural configuration of countries exhibits similar patterns in both embodied and disembodied diffusion networks. Significant global stratification patterns exist in the capability of national international technology exportation and brokerage advantages. Moreover, this study distinguishes four blocks of countries that play different roles in international technology diffusion: the leading countries provide a source of technological knowledge; an intermediate group diffuses the knowledge acquired from the source; a third group is in the process of initiating the export of technological knowledge; and a final group of countries absorbs technological knowledge without reciprocal exportation. Finally, this study identifies two types of catch-up strategies that newly industrialized or developing countries can use to move up the international technology stratification.     

A trivariate model of participation,fertility and wages: the Italian case

Italy has unusually low fertility by OECD standards, accompaniedby unusually low female participation in paid work. This paperaddresses the issue of the empirical relationship between fertility,female participation in the labour market and wages with theseItalian 'peculiarities' as a backcloth. A trivariate model ofparticipation, fertility and wages has been constructed andestimated using three pooled cross-sections of Italian microdata, allowing for the identification of cohort effects. Thismodel follows a 'purist' approach: the participation and fertilitydecisions, as well as the wage equation, are modelled as completelyjoint. The cohort effects turn out to be significant: the pointestimates do not appear to confirm actual trends, which arenegative for fertility and positive for participation. The femalewage is the most important variable influencing the propensityto have children and the propensity to participate in the labourmarket, casting doubt on suggestions that observed trends arethe products of shifts in women's 'tastes'.     

A grey dynamic model for the evaluation of regional sustainable development and its empirical study

Currently, traditional development issues, such as economic stagnation, as well as new challenges like environmental degradation and globalization, need attention. Sustainable development, including economic, environmental, and social elements, is a main goal of decision-makers. The key to sustainable decision-making is to evaluate and forecast the status quo of sustainable development. Policy makers need a tool based on scientific information to forecast the effects of future actions on sustainability and make policies for sustainable development. This paper analyzes the relation of the economy, environment and social welfare by the grey dynamic model. The proposed method uses time series and basic indicators of ecological system, including economic, environmental and social sub-systems. It is applied to Heilongjiang Province and Jiangsu Province. The results have proved different status quo of sustainable development in these two regions, and suggestions are proposed, such as optimization of industrial structure and eco-industrial development. The conclusion is that there is no unique sustainable path, and accordingly, policy makers should choose different criteria and strategies to make efficient sustainable decisions for each region.     

Localized technological change, new information technology and the knowledge-based economy: The European evidence

This work analyzes the co-evolution of new information and communication technologies and the knowledge-intensive business industry. New information technology affects the actual conditions of information, its basic characteristics of appropriation and tradability, favouring the role of business services as forces of interaction between knowledge components in the generation of new technology. Empirical analyses, based on input/output statistics of the European economy in the second half of 1980's, demonstrate the existence of a correlation between the usage of business and communication services and confirm their high output elasticity.     

Knowledge investments, business R&D and innovativeness of countries: A qualitative meta-analytic comparison

The relationship between knowledge investments, innovation and competitiveness is an important topic in both academic research and economic policy and has been studied extensively over the past decades. Nowadays, investments in private and public R&D are believed to make up the heart of a modern knowledge economy. The present paper adopts an evolutionary economics perspective and investigates whether, in addition to private R&D activities, also institutional support systems and policy interventions play a role in inducing innovation initiatives and creating impacts on the performance and competitiveness of industries. We aim to find support for the hypothesis that the competitiveness of industries in the international arena is sustained by the dynamic interaction between national, regional and sectoral innovation systems. This may provide stakeholders with a better understanding of the context in which they operate. Since according to the evolutionary metaphor, the growth of an innovation system follows complex dynamics that cannot simply be analysed within a static quantitative equilibrium framework, we use here an alternative approach based on qualitative pattern recognition analysis originating from artificial intelligence analysis. Besides R&D expenditures, human capital expenditures are regarded as the major input in the knowledge creation process in our analytical framework. To this end, in our paper a qualitative causal model that maps out conditional relations between key factors in national innovation systems will be described. The focus of our investigation is on systematic patterns in the competitiveness of the EU Member States, using statistical information on innovation input and output data from the European Innovation Scoreboard. In our analysis we find support for the hypothesis that there are indeed significant interactions between distinct institutional levels, which may provide guidance to the strategic orientation of nations and the European Union in terms of the emphasis on competitiveness vis-à-vis cohesion.     

A new definition and framework for the development of a national technology strategy: The case of nanotechnology for Iran

In this research, we use the concepts of “national technology policy” as well as the “firm technology strategy” in defining a new definition for “national technology strategy”. Then, by examining several national technology strategies in a variety of fields in different countries the national nanotechnology strategy for Iran is developed. Furthermore, using capability-effectiveness matrix and SWOT analysis we identify strategies of nanotechnology development in Iran. Finally, considering other countries' strategies and the results of PROMETHEE Method, we prioritize different areas of nanotechnology for Iranian economy, and test for the validity of the extracted strategies.     

A continuous time model of European growth,integration and technology diffusion: The role of distance

Economists have been devoting increasing attention to the diffusion process of knowledge in economic activities. However, the models till now developed concentrate mostly on the dynamics determined by the steady state, when dealing with the interaction among many countries. Instead, we present a non-linear model where explicitly formalize the disequilibrium as starting point. We evaluate theoretically and empirically, with a continuous time analysis applied to panel data, the integration process of some main European countries by considering a simultaneous interaction among output, technology and business services. In this process we take particular care of distance, as a strategic variable over time, and of the following consequences on the convergence to the steady state. On this subject we also show a closed form solution in presence of a linear constraint on technology among countries.     

A patent-based cross impact analysis for quantitative estimation of technological impact: The case of information and communication technology

The increasing syntheses and interactions between various technologies increase the usefulness of cross impact analysis (CIA) as a method for forecasting and analyzing them. Conventional CIA depends on an expert's qualitative judgment or intuition and thus it is difficult to evaluate quantitatively the impact of one technology on another. In this study, we employ patent analysis in CIA to examine such impacts between technologies based on multiple patent classifications. Patent information is used for facilitating quantitative and systematic approach in CIA. The distinctive feature and main contribution of the proposed approach is the overcoming of the limitations of conventional CIA, by employing conditional probabilities based on the patent information. The classification of patents, particularly the multiple classifications, is used to evaluate the relationships between technologies. As an illustration, a patent-based CIA with information and communication technologies (ICTs) was conducted. Firstly, the patent-based cross impact among ICTs was calculated. Secondly, the technology pairs were classified based on the cross impact score between ICTs. Thirdly, a cross impact network was constructed to identify the complex relation among ICTs. Finally, the changes in cross impact scores between technologies over time were analyzed. The results of this research are expected to help practitioners to forecast future trends and to develop better R&D strategies.     

A disaggregated analysis of EU imports: the implications for the study of patterns of trade and technology

This paper examines trends in the unit prices of manufacturedimports into the European Union (EU) in the period 1988–2002.This is undertaken at a high level of disaggregation, and itis this decomposition which we believe has important implicationsboth for a range of bodies of economic analysis and for policy.The analyses undertaken in this paper confirm that disaggregationmatters in helping to identify unit-price trends. We have alsoshown that unit-price trends vary with the type of economy exportinginto Europe and the type of product being exported, and thatthese results are robust at high levels of disaggregation.     

Economic growth, skill-biased technical change and wage inequality: A model and estimations for the US and Europe

In recent literature skill-biased technical change has been viewed as a major cause for wage inequality. Some modelling and presentation of stylized facts have been undertaken for US time series data. A preliminary study of wage inequality in a model with knowledge as input in an aggregate production function has been presented by Riddell and Romer [General Purpose Technologies and Economic Growth, 1998, MIT Press]. Although some important forces determining wage inequality are widely accepted we know little about the quantitative impact of each source and differences across countries. We present a growth model of the Romer type with innovation-based technical change and two skill groups where the growth of knowledge, the relative supply of the two skill groups, externalities and substitution effects among the two groups are the driving forces for wage inequality. We undertake estimates for US time series data and contrast those estimates with results from some European countries. In particular, we compare parameter estimations for US and German time series data. The paper concludes that there is less wage inequality across skills in Europe in contrast to the US on the macroeconomic level. But, considering disaggregated data we observe some increases in inequality for Germany, too. Although our model reveals important variables for the explanation of wage inequality there may, however, also be other factors, such as trade unions, which have impacted the wage spread.     

Modelling the faddish, fashionable and efficient diffusion of agricultural technologies: A case study of the diffusion of wool testing technology in Australia

This study investigates the nature of innovation diffusion in an agricultural context. The dominant agricultural diffusion models assume that an economically rational choice is made to adopt or reject agricultural technologies. However, recent studies of agricultural innovation highlight the ‘irrational’ and potentially ‘inefficient’ nature of the diffusion in this context. To investigate how and why agricultural technologies are adopted or rejected, we examine the diffusion of wool testing technologies in the Australian wool industry using the Bass diffusion model and Abrahamson's diffusion and rejection typology. The results show that diffusion of agricultural innovation is not simply an efficient choice made to close observable performance gaps. The findings suggest that the adoption of inefficient innovations and the rejection of efficient innovations can be driven by an adopter's social context, powerful external influences and imitation within an adopter group and that these drivers change over time, suggesting an evolutionary social process underlies the diffusion of agricultural technologies.     

A review and validation of overall survival extrapolation in health technology assessments of cancer immunotherapy by the National Institute for Health and Care Excellence: how did the initial best estimate compare to trial data subsequently made available?

Background: Validation of overall survival (OS) extrapolations of immune-checkpoint inhibitors (ICIs) during the National Institute for Health and Care Excellence (NICE) Single Technology Assessment (STA) process is limited due to data still maturing at the time of submission. Inaccurate extrapolation may lead to inappropriate decision-making. The availability of more mature trial data facilitates a retrospective analysis of the plausibility and validity of initial extrapolations. This study compares these extrapolations to subsequently available longer-term data.

Methods: A systematic search of completed NICE appraisals of ICIs from March 2000 to December 2017 was performed. A targeted search was also undertaken to procure published OS data from the pivotal clinical trials for each identified STA made available post-submission to NICE. Initial Kaplan-Meier curves and associated extrapolations from NICE documentation were extracted to compare the accuracy of OS projections versus the most mature data.

Results: The review identified 11 STAs, of which 10 provided OS data upon submission to NICE. The extrapolations undertaken considered parametric or piecewise survival models. Additional data cut-offs provided a mean of 18 months of OS beyond the end of the original data. Initial extrapolations typically under-estimated OS from the most mature data cut-off by 0.4–2.7%, depending on the choice of assessment method and use of the manufacturer- or ERG-preferred extrapolation.

Conclusion: Long-term extrapolation of OS is required for NICE STAs based on initial immature OS data. The results of this study demonstrate that the initial OS extrapolations employed by manufacturers and ERGs generally predicted OS reasonably well when compared to more mature data (when available), although on average they appeared to underestimate OS. This review and validation shows that, while the choice of OS extrapolation is uncertain, the methods adopted are generally aligned with later-published follow-up data and appear appropriate for informing HTA decisions.