A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies

The planning of technological research and development (R&D) is demanding in areas with many relationships between technologies. To support decision makers of a government organization with R&D planning in these areas, a methodology to make the technology impact more transparent is introduced. The method shows current technology impact and impact trends from the R&D of an organization's competitors and compares these to the technology impact and impact trends from the organization's own R&D. This way, relative strength, relative weakness, plus parity of the organization's R&D activities in technology pairs can be identified.A quantitative cross impact analysis (CIA) approach is used to estimate the impact across technologies. Our quantitative CIA approach contrasts to standard qualitative CIA approaches that estimate technology impact by means of literature surveys and expert interviews. In this paper, the impact is computed based on the R&D information regarding the respective organization on one hand, and based on patent data representative regarding R&D information of the organization's competitors on the other hand. As an illustration, the application field ‘defence’ is used, where many interrelations and interdependencies between defence-based technologies occur. Firstly, an R&D-based and patent-based Compared Cross Impact (CCI) among technologies is computed. Secondly, characteristics of the CCI are identified. Thirdly, the CCI data is presented as a network to show the overall structure and the complex relationships between the technologies. Finally, changes of the CCI are analyzed over time. The results show that the proposed methodology has the potential to generate useful insights for government organizations to help direct technology investments.     

Technological innovation and knowledge network in Asia: Evidence from comparison of information and communication technologies among six countries

South Korea, Taiwan, Singapore, Hong Kong, China and India have become much larger force in the world economy. Due to the enormous contribution of the use of information and communication technologies (ICT) in economic growth, this study investigates four main issues related to technological innovation and knowledge network in ICT among six countries. First, indicators of technological innovation were evaluated and used to compare capability of technological innovation in ICT between the six countries. Secondly, differences in innovation configurations among six countries were manifested. Thirdly, relative innovation strengths of these six countries were examined in five sub-technological fields. Finally, this study consists of analyzing the interactions into knowledge network among them; moreover, this study manifests the difference of knowledge network in five sub-technological field of ICT. The empirical findings of this study, based on analysis of a patent and citation dataset comprised of all patents granted by the U.S. Patents and Trademark Office (USPTO) to assignees in six countries from 1976 to 2006, are helpful to understand the comparative development of technological innovation of ICT in six countries.     

The productivity paradox and the new economy: The Spanish case

This paper studies the impact of the information and communication technologies (ICT) on economic growth in Spain using a dynamic general equilibrium approach. Contrary to previous works, we use a production function with six different capital inputs, three of them corresponding to ICT assets. Calibration of the model suggests that the contribution of ICT to Spanish productivity growth is very relevant, whereas the contribution of non-ICT capital has been even negative. Additionally, over the sample period 1995–2002, we find a negative TFP growth and productivity growth. These results together aim at the hypothesis that the Spanish economy could be placed within the productivity paradox.     

The empirical analysis of the determinants for environmental technological change: A research agenda

Technological change is usually considered a necessary albeit not sufficient condition for a transition to sustainability. However, the empirical analysis of the determinants to environmental technological change has not received too much attention in the environmental/ecological economics literature and many open questions remain in this context. Based on a careful review of the literature, this paper argues that further analysis should address several issues at different levels: i.e., regarding the conceptual framework, the thematic scope of the studies, some methodological issues and other aspects related to the environmental policy variable. First, an integrated conceptual framework which takes into account the interplay between relevant variables influencing environmental technological change (i.e., factors internal and external to the firm and characteristics of the environmental technologies) and all the stages of this process, with a greater emphasis on the invention stage, should be developed. Other aspects should then be tackled, including a focus on several themes (i.e., a greater attention to cross-sectoral technologies, the barriers to different types of environmental technologies, the international dimension of environmental technological change and environmental technological change in small and medium size enterprises), methodological issues (combination of case studies and econometric modelling) and several issues related to the environmental policy variable.     

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.     

The determinants of investment in information and communication technologies

In this paper, we assess the determinants of information and communication technology (ICT) investment at the macro-level, for a panel of 10 advanced countries, in the period 1992–2005. We investigate the idea that, since ICTs are general purpose technologies, the decision to invest in these technologies is strongly affected by the general business environment in which the investment takes place. The empirical results are consistent with this idea: facilitating factors such as changes in market regulation, amount of human capital, expenditure on R&D, and the share of the dynamic services sector in the economy, positively influence investment in ICT.     

Technology clustering based on evolutionary patterns: The case of information and communications technologies

Technology trend analysis anticipates the direction and rate of technology changes, and thus supports strategic decision-making for innovation. As technological convergence and diversification are regarded as emerging trends, it is important to compare the growth patterns of various technologies in a particular industry to help understand the industry characteristics and analyse the technology innovation process. However, despite the potential value of this approach, conventional approaches have focused on individual technologies and paid little attention to synthesising and comparing multiple technologies. We therefore propose a new approach for clustering technologies based on their growth patterns. After technologies with similar patterns are identified, the underlying factors that lead to the patterns can be analysed. For that purpose, we analysed patent data using a Hidden Markov model, followed by clustering analysis, and tested the validity of the proposed approach by applying it to the ICT industry. Our approach provides insights into the basic nature of technologies in an industry, and facilitates the analysis and forecasting of their evolution.     

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.     

Using patent data to analyze trends and the technological strategies of the amorphous silicon thin-film solar cell industry

With the shortage of raw materials for the production of crystalline silicon solar cells, the next generation of solar cells has reached the perfect stage for development. While in the past, researchers have emphasized the development of crystalline silicon solar cells, the application of the next generation of crystalline silicon solar cells is different. Of the thin-film solar cells (TFSCs), the most widely recognized is the amorphous silicon (a-Si) TFSC. It has the greatest potential to be developed, and many manufacturers have already invested in its research and development (R&D). In this study, we employed a set of indicators to analyze the technological development of the a-Si TFSC, and found that the major technology field has reached the mature stage in the technology life cycle of this product; moreover, four patent strategic clusters were identified. The results regarding the company and technology levels of the clusters were integrated with profile data and developmental progress information to understand the patent performance, technologic capacity, and R&D background of the a-Si TFSC.     

Assessing market penetration combining scenario analysis, Delphi, and the technological substitution model: The case of the OLED TV market

The technological substitution model, proposed in 1971, was designed to analyze the penetration process of new-generation technologies replacing old ones. It was expanded in 1979 to consider more than two generations and the substitution process among various entities in the market. However, this expanded model is often limited by a relative lack of data on the latest-generation technology.On the other hand, scenario analysis, as another breed to forecasting tool, provides rich and complex portraits of possible future development of technologies. However, it fails to provide quantifiable forecasts. Therefore, previous researchers combined these two methods to analyze the development of new technologies.Nevertheless, to make forecasting more holistic, the current opinions of seasoned experts should also be taken into account. However, because of the often-diverged expert opinions, a method for consensus building, such as the Delphi method, is also necessary. Therefore, we combined the scenario analysis with the Delphi method and the technological substitution model to analyze the development of a new technology, namely, the latest-generation television (TV), or the organic light-emitting diode (OLED) TV. We elaborate three possible scenarios, and forecast the market share of OLED TV and four other TV technologies in the global market over the next 10 years: cathode ray tube, rear projection, plasma display panel, and liquid crystal display.     

Diversity of technology acquisition in technological catch-up: an industry-level analysis of Chinese manufacturing

Using panel data analysis for an industry-level sample of Chinese manufacturing industries from 2000 to 2009, the study examines how latecomers dynamically adapt technology acquisition strategy in terms of technology acquisition diversity during the transition process from imitation to innovation. Our research considers technology acquisition as a portfolio of technology channels and thus examines the impact of technology gap between domestic firms and foreign firms on technology acquisition strategy at the industry level. The findings reveal that technology gap positively affects technology acquisition diversity of Chinese manufacturing industries. Further, it shows that technological uncertainty weakens the positive impact of technology gap on diversity of technology acquisition.     

The emergence of technology systems: knowledge production and distribution in the case of the Emilian plastics district

The emergence of technology systems is the result of interdependentdynamics of the generation and diffusion of complementary bitsof localised technological knowledge. Technological communicationis the crucial element assessing the collective conditions underwhich technological knowledge is accumulated and diffused. Thecase study of the emerging Emilian technological system in theplastics sector shows that the synchronic and diachronic localisedinteractions among industrial dynamics, institutional R&Defforts and technological interrelatedness are the determinantsof the systematic production, accumulation and distributionof localised technological knowledge, in turn explaining theorigin and development of the technology system itself.     

A framework for implementing information and communication technologies in agricultural development in India

Knowledge is an increasingly significant factor of production in modern agriculture. Information and Communication Technologies (ICTs) can accelerate agricultural development by facilitating knowledge management. Based on an evaluation of several ICT initiatives in rural India, a framework to guide policy and implementation of ICTs in Indian agriculture is proposed. In this framework, agricultural development is visualized from two perspectives, a rural incomes and livelihoods perspective at the farm level, and a sustainability perspective at the regional level. The implementation of ICTs is proposed in three unique institutional environments: (i) closed vertical supply chain network for agribusiness enterprises, (ii) an open chain network with dynamically evolving partners and supply chain situations for the public, non-governmental and multilateral organizations, and (iii) a spatial data services network to address natural resources management and sustainability concerns. Each environment is assessed to identify its appropriate business models centered around ICTs, required technologies, scope for up-scaling the models, and required institutional and policy initiatives. In the future, as ICT infrastructure grows and connectivity and hardware costs decline, the critical constraints are likely to be the development of appropriate policy and institutional environments for the creation and delivery of information and knowledge to the end users. Significant policy, institutional networking and capacity building initiatives will be required at various levels to overcome the constraints and effectively integrate ICTs into the agricultural development process in India.     

Towards an information economy : The case of Singapore

Recent empirical studies have documented the emergence of information-based economies in developed countries within Europe, the U.S.A., Japan, and Australia. Casual observations suggest that the newly industrializing country of Singapore is proceeding towards a similar trend. The primary purpose of this paper is to account for the share of Singapore's national product which originates from informational activities. In particular, we define and estimate the size of Singapore's information sector within an input-output framework. Our results indicated that a sizable portion of Singapore's economy is information-based. In view of the significant penetration of informational activities in economic production, advances in communication technology and concomitant improvements in information-handling capabilities are bound to affect factor productivities and incomes with consequences for a country's pattern of employment and production structure. It is anticipated that an economics of communication becomes necessary for an awareness of communication technology as a choice variable in economic planning. We conclude our discussion with an assessment of the admissability of an information sector concept in economic analysis and the usefulness of empirical studies based on such a concept.     

A systematic approach for integrated trend analysis—The case of etching

Understanding technology development trends is of critical importance to countries, industries and enterprises to be sustainable in global competition. Attempts have been made to establish trend analysis by bibliometric and patent analyses. Also text-mining uncovers hidden and important information from structured or unstructured documents which serve as knowledge carriers. This study aims to provide a systematic approach for integrated trend analysis that takes into account bibliometric analysis, patent analysis and text-mining analysis. Etching is selected as the case study for integrating trend analysis method proposed in this study. Also, validity and applicability of the integrated analysis are evaluated.     

Monitoring trends of technological changes based on the dynamic patent lattice: A modified formal concept analysis approach

The strategic importance of monitoring technological changes is highlighted given the ever faster pace and increasing complexity of technological innovation. In this respect, patent citation analysis has been the most frequently adopted tool among others. However, patent citation analysis is subject to certain drawbacks that stem from only consideration of citing-cited information and time lags between citing and cited patents. This study proposes a formal concept analysis (FCA)-based approach to developing a dynamic patent lattice that can analyze complex relations among patents and monitor trends of technological changes. The FCA is a mathematical tool for grouping objects with shared properties based on the lattice theory. The distinct strengths of FCA, vis-á-vis other methods, lie in structuring and displaying the relations among objects from a massive amount of data. For the purpose of technology monitoring, the FCA is modified to take into account time periods and changes of patent keywords. A patent context is first constructed with the aid of domain experts and text mining technique. Two types of dynamic patent lattices are then developed by executing the modified FCA algorithm. A case study of laser technology in lithography for semiconductor manufacturing shows that the suggested dynamic patent lattice has considerable advantages over conventional patent citation maps in terms of visualization and informative power.     

Cumulative causation in the formation of a technological innovation system: The case of biofuels in the Netherlands

Despite its worldwide success, the innovation systems approach is often criticised for being theoretically underdeveloped. This paper aims to contribute to the conceptual and methodological basis of the (technological) innovation systems approach. We propose an alteration that improves the analysis of dynamics, especially with respect to emerging innovation systems. We do this by expanding on the technological innovation systems and system functions literature, and by employing the method of ‘event history analysis’. By mapping events, the interactions between system functions and their development over time can be analysed. Based on this it becomes possible to identify forms of positive feedback, i.e. cumulative causation. As an illustration of the approach, we assess the biofuels innovation system in The Netherlands as it evolved from 1990 to 2007.     

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.     

Understanding the dynamics of technological configurations: A conceptual framework and the case of Smart Homes

This paper explores the innovation dynamics of technological configurations using one particular case study. Technological configurations have been defined in the literature as technical systems with no generic identity, i.e. they are the subset of technical systems for which the pattern of how to arrange the components (architectural knowledge) is defined during implementation. While the implementation of configurations is relatively well understood, knowledge about how configurational technologies evolve as a whole is still underdeveloped. This paper closes this gap and introduces a conceptual framework to understand the dynamics of technological configurations. In particular, the framework introduces the notions of technological field and field learning to add a diachronic and cumulative dimension to the original idea.I apply the framework to the empirical case of Smart Home systems in order to provide a systematic analysis of the underlying innovation dynamics. In particular, I show how the configurational nature of Smart Home systems, and its acknowledgement to various degrees in the corresponding technological field, relates to the emerging innovation dynamics. I conclude with two sets of results. First, I identify a number of conditions on which the future stabilization of the field into cumulative forms of learning depends. Secondly, I draw a range of conclusions with regard to the dynamics of configurational technologies in general.