Characterizing knowledge diffusion of Nanoscience &; Nanotechnology by citation analysis

This study investigates the knowledge diffusion patterns of Nanoscience & Nanotechnology (N&N) by analyzing the overall research interactions between N&N and nano-related subjects through citation analysis. Three perspectives were investigated to achieve this purpose. Firstly, the overall research interactions were analyzed to identify the dominant driving forces in advancing the development of N&N. Secondly, the knowledge diffusion intensity between N&N and nano-related subjects was investigated to determine the areas most closely related to N&N. Thirdly, the diffusion speed was identified to detect the time distance of knowledge diffusion between N&N and nano-related subjects. The analysis reveals that driving forces from the outside environment rather than within N&N itself make the foremost contributions to the development of N&N. From 1998 to 2007, Material Science, Physics, Chemistry, N&N, Electrical & Electronic and Metallurgy & Metallurgical Engineering are the key contributory and reference subjects for N&N. Knowledge transfer within N&N itself is the quickest. And the speed of knowledge diffusion from other subjects to N&N is slower than that from N&N to other subjects, demonstrating asymmetry of knowledge diffusion in the development of N&N. The results indicate that N&N has matured into a relatively open, diffuse and dynamic system of interactive subjects.     

Removal of oil and grease contamination from stream water using the granular activated carbon block filter

Most sources of oil and grease (O&G) are insoluble in water. Because the specific gravity of O&G is lower than water, it floats on the top surface. The presence of O&G may have adverse impact on water resources management. Activated carbon can remove O&G from water by adsorption process. Still the use of physical models to adsorb O&G from stream water needs to be verified. This study proposes the mathematical models for adsorption of O&G from stream water using the granular activated carbon block filter (GACBF). The parameters in equations are all physically meaningful, and the experimental data validation shows that the equations are sufficiently accurate. The proposed models to calculate the accumulation rate, lifetime, and adsorption capacity for the adsorption of O&G onto GACBF from Ulu Pontian River water are presented to contribute to clean technology and environmental contamination investigation and assessment.     

Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China

Research and development (R&D) efficiency assessment is an effective way for policymakers to develop strategies to increase the beneficial impacts of R&D. This study measures regional R&D efficiency from a multi-stage R&D perspective. It examines the spatial spillover effects and value chain spillover effects of R&D using panel data from 2009 to 2016 for 30 provinces in China. By estimating a spatial Durbin model, we find evidence of strong spatial dependence in R&D efficiency in China. With respect to R&D value chain effects, we find that R&D value chain spillovers took place intra-regionally but not inter-regionally. This finding indicates that in a knowledge flow context, there are two-way R&D value chain spillovers in which the forward spillover effects are stronger than the backward spillover effects. This finding adds important new knowledge to research on knowledge spillovers: distinguishing between value chain spillovers and spatial spillovers opens new avenues for future empirical inquiries.

     

Application of compensating diode voltmeters in metrological practice

The distinctive features of calibration and application of compensating diode voltmeters as standards are examined and the principal error of a voltmeter calibrated as a first-class standard in the 10 Hz to 1500 MHz frequency range is calculated.The Editors call the attention of authors and readers to the desirability of replacing in technical documentation and submitted papers the obsolete (according to the “Law of Unity of Measurements” passed by the Russian Federation) terms “reference measuring instrument” and, nearly always, “metrological certification” with “standard” and “calibration” respectively.Translated from Izmeritel'naya Tekhnika, No. 2, pp. 43–45, February, 1995.     

Effective R&D investment planning based on technology spillovers: the case of Korea

This study was performed to discuss an R&D investment planning method based on the technology spillover among R&D fields, from the point of view of technology convergence. The empirical analysis focused on a particular R&D group, such as university departments and specialized research institutes, since local technology combinations are more effective than distant combinations to create a new technology, according to previous research. In addition, worldwide technology competition is increasing, and with the recent convergence of various technologies and industries, strategies for R&D selection and resources allocation of particular R&D groups are becoming increasingly important. The empirical analysis uses a modified Decision Making Trial and Evaluation Laboratory method combined with information on patent citations to resolve the latent problems of the existing model, using as an empirical example the case of the Korea Institute of Geoscience and Mineral Resources (KIGAM), specialized in the geology and resources development R&D area. Through the empirical analysis, the KIGAM’s current R&D investment status is considered, and a reasonable R&D investment planning is suggested from the perspective of technology spillover. By using this framework, the magnitude of technology spillover from the R&D investment planning within a particular R&D group can be measured based on objective quantitative data, and the current R&D investment can be compared with recent global trends.     

A trial of general indicator of science and technology: Methodological study of overall estimation of national S&T activity

This paper presents methods using a large number of quantitative indicators of the overall estimation of national S&T activity. The methods collected here apply multivariate analysis techniques to a set of S&T indicators to investigate its structure and extract a single or a small number of indicators of S&T activity. We perform structural analysis and integration of 14 main S&T indicators in 5 countries, the U.S., Japan, Germany, France and the U.K. Latent variables underlying this set of indicators naturally emerge from this analysis, and from these we were able to extract valuable information concerning the nature of S&T activity in each country. This method was also useful for investigating the nature and interpretation, as well as the reliability, of previous S&T indicators.     

Science and technology policy in Turkey. National strategies for innovation and change during the 1983-2003 period and beyond

Summary An evaluation of Turkey's science and technology (S & T) policy in the last two decades has been made by using various indicators of S & T and technological innovation. National trends in inputs for research and development (R & D) activities, publication output and patent data have been studied for the implications of the S & T policy from 1983 to 2003. Some of the findings on the outcomes of policy measures in terms of inputs to R & D and publication output are as follows: (1) Total R & D expenditure, as percent of gross domestic product (GDP), increased from 0.32% in 1990 to 0.67% in 2002, (2) the fraction of R & D in the total expenditure for technological innovation increased from 6.6% in 1995-1997 to 29.2% in 1998-2000, and (3) the number of papers in the journals covered in the Science Citation Index (SCI) of the Institute for Scientific Information (ISI) increased from 464 in 1983 to 12160 in 2003 - a more than 26-fold increase in the last two decades.     

Offshoring and Improvisational Learning: Empirical Insights into Developing Global R&D Capabilities

This study examines how global research and development (R&D) capabilities develop through improvisational learning. Using empirical insights from two large Swedish multinational companies and their early learning from establishing a captive R&D offshore unit in Bangalore, India, we use multicase inductive analysis to identify how companies cope with challenge related to coordinating R&D across geographically dispersed units through improvisational learning. Using a cooperative stage model analysis, we explain how improvisational learning occurs during the setup, start-up and ongoing stages of establishing captive R&D offshoring operations. We find that improvisational actions lead to developing routines as a response to solving unexpected coordination challenges and help explain how global R&D capabilities develop.     

What do we know about innovation in nanotechnology? Some propositions about an emerging field between hype and path-dependency

This contribution formulates a number of propositions about the emergence of novel nanoscience and nanotechnology (N&N). Seeking to complement recent work that aims to define a research agenda and draws on general insights from the innovation literature, this paper aims to synthesize knowledge from innovation-related studies of the N&N field. More specifically, it is suggested that N&N is often misconstrued as either a field of technology or an area of (broadly) converging technologies while evidence to date suggests rather that N&N be considered a set of inter-related and overlapping about not necessarily merging technologies. The role of instrumentation in connecting the various N&N fields is underlined. Finally, the question is raised whether change in N&N tends to be incremental rather than discontinuous, being the result of technological path-dependencies and lock-ins in industry-typical search regimes that are only slowly giving way to more boundary-crossing activities.     

Determination of the half-life of the spontaneous fission of240PU

Two metallic²⁴⁰Pu sources were certified as reference standards of spontaneous-fission activity and neutron flux. The certification results were used to determine the ratio T_αT_s&f of the alpha-decay and spontaneousfission half-lives of²⁴⁰Pu. The ratio was found to be (5.68+-0.11)·10^−8, which corresponds to T_s&f =(1.16+0.02)·1011 yr for an assumed value T_α=6563+7yr.Translated from Izmeritel'naya Tekhnika, No. 2, pp. 57–58, February, 1995.     

The Life Sciences - the relative contribution of the University of S&;#227;o Paulo to the highest impact factor journals and to those with the largest number of articles, 1980 to 1999

Summary The contribution of Brazil to the database of the Institute for Scientific Information, ISI, has increased remarkably during the last years. Among the Brazilian research institutions, the publications of the University of São Paulo (USP) have been around 30% of the country's total publication within the ISI database. A similar share was found for USP's publications published in the 1980-1999 period and classified in the Life Sciences. This was observed in publications from both the highest impact factor journals and from those with the largest number of articles. We have found that the present share of USP's publications in some of the fields of the Life Sciences was much less than 30%, suggesting a gradual decentralization of the scientific activity in Brazil. The data point out that this set of USP's publications were concentrated in traditional and basic fields of biological research, where the focus is mainly oriented by international trends. The data suggest that USP's researchers have not been much devoted to some of the fields where research is oriented toward national issues.     

Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods

Summary A system of input, output, and efficiency indicators is sketched out, with each indicator related to basic research, applied research, and experimental development. Mainly, this scheme is inspired by empirical innovation economics (represented in Germany, e.g., by H. Grupp) and by “advanced bibliometrics' and scientometrics (profiled by van Raan and others). After considering strengths and weaknesses of some of the indicators, possible additional “entry points' for institutions of information delivery are examined, such contributing to an enrichment of existing indicators. And to a “Nationalökonomik des Geistes', requested from librarians in the twenties of the last century by A. von Harnack.     

Multi-network embeddedness and innovation performance of R&D employees

Taking the perspective of multi-network embeddedness, this paper constructs the collaboration network of R&D organizations, the collaboration network and knowledge network of R&D employees based on the patent data of 879 R&D employees from 224 R&D organizations, and analyses factors that have significant impacts on R&D employees’ innovation performance. The results show that R&D employees’ knowledge combinatorial potential and knowledge diversity have significant positive impacts on their innovation performance. R&D employees’ degree centralities in the collaboration network mediate the impacts of their knowledge combinatorial potential and knowledge diversity on innovation performance. The degree centralities of R&D organizations moderate the impacts of R&D employees’ degree centralities on innovation performance.

     

Increasing the return on investment from federally-funded research and development

Abstract

Each year, the United States invests approximately $495 billion in research and development (R&D) – about a quarter of the total global investment. While the private sector accounts for about 67% of U.S. investment, the Federal government plays a critical role in funding R&D, particularly in areas that address societal needs in which the private sector does not yet have sufficient clear or strong incentive to make the required investments. The Federal government invests approximately $150 billion each year in R&D conducted at Federal laboratories, universities and other research organizations. As Federal R&D investments wind down or are completed, additional work is often still needed to translate the knowledge accrued from that R&D into products and services that will improve lives and provide economic growth. Technology transfer is the process by which existing knowledge, facilities or capabilities developed through R&D are utilised to fulfill public and private need. The transfer of technology from federally-funded R&D to the private sector is crucial to realising the taxpayer’s return on investment in the Federal R&D ecosystem. However, moving innovations from the lab to the market is more than inventing products for people to buy. Technology transfer is about creating jobs and growing the economy; ensuring a strong, secure, and resilient Nation; and improving Americans’ health and environment, fostering the conditions for America to maintain leadership in global innovation.     

Modelling citation age data with right censoring

Summary Klaus Fuchs, during his years in England as an immigrant, has written 20 scientific papers. One of these papers, published in 1938, became a fundamental text in solid state physics and for the development of microelectronics in succeeding decades. It was cited more than 1200 times in the period from 1945 until 2003. It appears to be a typical case of delayed recognition in science. Pioneering papers simultaneously written by Hahn & Straßmann and by Meitner & Frisch on the discovery of nuclear fission are considered for comparison.     

An explanation of disproportionate growth using linear 3-dimensional informetrics and its relation with the fractal dimension

Summary We study new and existing data sets which show that growth rates of sources usually are different from growth rates of items. Examples: references in publications grow with a rate that is different (usually higher) from the growth rate of the publications themselves; article growth rates are different from journal growth rates and so on. In this paper we interpret this phenomenon of “disproportionate growth' in terms of Naranan's growth model and in terms of the self-similar fractal dimension of such an information system, which follows from Naranan's growth model. The main part of the paper is devoted to explain disproportionate growth. We show that the “simple' 2-dimensional informetrics models of source-item relations are not able to explain this but we also show that linear 3-dimensional informetrics (i.e. adding a new source set) is capable to model disproportionate growth. Formulae of such different growth rates are presented using Lotkaian informetrics and new and existing data sets are presented and interpreted in terms of the used linear 3-dimensional model.     

A Business Intelligence Approach to Monitoring and Trend Analysis of National R&D Indicators

The economic growth and competitiveness of countries is strongly influenced by their national research and development (R&D) systems. Hence, national R&D managers must make appropriate decisions to develop their R&D systems. For this purpose, an integrated view on the dimensions of national R&D systems is much needed. Due to the distribution of relevant data sources for national, R&D indicators and the complexity of national R&D systems, establishing an integrated view is challenging. In this article, we propose a business intelligence architecture to monitor, analyze, and forecast national, R&D indicators. Data for these indicators are integrated from heterogeneous data sources. In a case study focusing on Iranian R&D indicators, a prototype system is designed and implemented to evaluate its effectiveness in practice. After monitoring the indicators using online analytical processing, trends for the indicators across 11 years are forecasted using time series analysis models. The prototype system provides an integrated view of the Iranian R&D system, so that national R&D managers can use the developed system for monitoring and trend analysis of Iranian R&D indicators. As a result of the analysis of these trends, implications and recommendations for the future of the Iranian R&D system are presented.     

Scientific productivity paradox: The case of China's S&T system

Summary In 1985 China began the reform of its Science & Technology (S&T) sector inherited from the planned economy. To disclose the impact of the drawn-out reform on the efficiency of the whole sector, we measure the scientific productivity of China's S&T institutes. The analysis is based on R&D input and output data at the country aggregate and provincial level. We utilize Polynomial Distributed Lag model to uncover the structure of the lag between R&D input and output. The findings reveal that the growth rate of scientific productivity of China's S&T institutes has been negative since the 1990s.     

Innovation and Firm Growth: Is R&D Worth It?

The paper contributes to an emerging literature that critically questions the degree to which R&D, at the centre of national and transnational innovation policies, results in firm growth. The differences in how innovation affects firm growth is explored for small and large publicly quoted US pharmaceutical firms between 1950 and 2008. We observe that the positive impact of R&D on firm growth is highly conditional upon a combination of firm-specific characteristics such as firm size, patenting and persistence in patenting. For small firms, R&D boosts growth for only a subset of firms: namely, those that patent persistently for a minimum of five years. For large pharmaceutical firms, on the other hand, R&D may have a negative impact on growth; potentially resulting from the low R&D productivity these firms have suffered from since the mid-1990s. These results raise important issues around the R&D and firm growth relationship for small and large firms as well the role of persistence in innovation for boosting firm performance.     

Business Group Affiliation and R&D

This paper analyzes whether belonging to a business group enhances firms' propensity for and intensity of R&D based on the greater opportunities to finance and co-ordinate R&D strategies and internalize knowledge spillovers. Compared with the existing literature, this paper has the following novelties: (a) it examines how the organization and diversification of business groups influence the R&D investment of affiliated firms; (b) it analyzes the role of R&D spillovers among affiliated firms; and (c) it distinguishes between propensity for and intensity of R&D. We find that less diversified groups are more likely to centralize R&D, while in more diversified groups firms are more likely to be autonomous. We find that controlled companies are more likely to benefit from knowledge spillovers than firms at the head of the group. Finally, we find that R&D autonomy is significantly associated with both a higher propensity for and intensity of R&D in controlled companies.