Category Archives: Research Type

A measure of staying power: Is the persistence of emergent concepts more significantly influenced by technical domain or scale? (full-text)

Research Examples, ST&I indicators

This study advances a four-part indicator for technical emergence. While doing so it focuses on a particular class of emergent concepts—those which display the ability to repeatedly maintain an emergent status over multiple time periods. The authors refer to this quality as staying power and argue that those concepts which maintain this ability are deserving of greater attention. The case study we consider consists of 15 subdatatsets within the dye-sensitized solar cell framework. In this study the authors consider the impact technical domain and scale have on the behavior of persistently emergent concepts and test which of these has a greater influence.

https://link.springer.com/article/10.1007%2Fs11192-017-2342-x

For full-text view, http://rdcu.be/qfTB

Author(s): Stephen F. Carley, Nils C. Newman, Alan L. Porter, Jon G. Garner
Organization(s): Georgia Tech, Search Technology
Source: Scientometrics
Year: 2017

Effects of innovation management system standardization on firms: evidence from text mining annual reports

Data Type, novel source, Research evaluation, Research Examples, Research Type, ST&I policy

Using a management formula to standardize innovation management can be thought of as deeply contradictory, however, several successful firms in Spain have been certified under the pioneer innovation management standard UNE 166002. This paper analyzes the effects that standardization has in the attitudes and values as regard to innovation for a sample of firms by text-mining their corporate disclosures. Changes in the relevance of the concepts, co-word networks and emotion analysis have been employed to conclude that the effects of certification on the corporate behavior about innovation are coincident with the open innovation and transversalization concepts that UNE 166002 promotes.

https://link.springer.com/article/10.1007/s11192-017-2345-7

Author(s): Gaizka Garechana, Rosa Río-Belver, Iñaki Bildosola, Marisela Rodríguez Salvador
Organization(s): University of the Basque Country UPV/EHU, Tecnológico de Monterrey
Source: Scientometrics
Year: 2017

Annual reports have been text-mined using the NLP tools provided by Vantage Point software to capture the concepts occurring in the vicinity of SI terms and the changes in concepts and their relationships, in addition to emotions, have been analyzed.

Patent information retrieval: approaching a method and analysing nanotechnology patent collaborations

Data Type, Patents, Research Examples, Research Type, ST&I indicators

Many challenges still remain in the processing of explicit technological knowledge documents such as patents. Given the limitations and drawbacks of the existing approaches, this research sets out to develop an improved method for searching patent databases and extracting patent information to increase the efficiency and reliability of nanotechnology patent information retrieval process and to empirically analyse patent collaboration. A tech-mining method was applied and the subsequent analysis was performed using Thomson data analyser software. The findings show that nations such as Korea and Japan are highly collaborative in sharing technological knowledge across academic and corporate organisations within their national boundaries, and China presents, in some cases, a great illustration of effective patent collaboration and co-inventorship. This study also analyses key patent strengths by country, organisation and technology.

OPEN ACCESS article. For Full-text, go to https://link.springer.com/article/10.1007/s11192-017-2325-y

Author(s): Sercan Ozcan, Nazrul Islam
Organization(s): University of Portsmouth, University of Exeter
Source: Scientometrics
Year: 2017

Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies

Research Examples, Research Type, ST&I indicators, ST&I policy, Strategic planning

This paper seeks to contemplate a sequence of steps in connecting the fields of science, technology and industrial products. A method for linking different classifications (WoS–IPC–ISIC concordance) is proposed. The ensuing concordance tables inherit the roots of Grupp’s perspective on science, technology, product and market. The study contextualized the linking process as it can be instrumental for policy planning and technology targeting. The presented method allows us to postulate the potential development of technology in science and industrial products. The proposed method and organized concordance tables are intended as a guiding tool for policy makers to study the prospects of a technology or industry of interest. Two perceived high potential technologies—traditional medicine and ICT—that were sought by two aspirant economies—Hong Kong and Malaysia—are considered as case studies for the proposed method. The selected cases provide us the context of what technological research is being pursued for both fundamental knowledge and new industries. They enable us to understand the context of policy planning and targeting for sectoral and regional innovation systems. While we note the constraints of using joint-publishing and joint-patenting data to study the core competencies of developing economies and their potential for development, we realize that the proposed method enables us to highlight the gaps between science and technology and the core competencies of the selected economies, as well as their prospects in terms of technology and product development. The findings provide useful policy implications for further development of the respective cases.

https://link.springer.com/article/10.1007/s11192-017-2319-9

Author(s): Chan-Yuan Wong, Hon-Ngen Fung
Organization(s): University of Malaya
Source: Scientometrics
Year: 2017

Facebook in educational research: a bibliometric analysis

Research Examples, Research profiling, Research Type

Facebook has become the object of research in different areas. The present study presents a bibliometric analysis of the scientific literature related to the use of this social network in educational research. To this end, bibliometric techniques were applied in the analysis of scientific articles indexed at the Web of Science Core Collection, from Thomson Reuters, and linked to the research areas of Education/Educational Research. This resulted in the identification of, among others, developments in scientific production, the most important journals that publish papers on the topic, the main authors and the main articles published in the area. The results indicate the growth of scientific production in the area from 2008 onwards, pointing to Computers and Education as the most relevant journal by number of publications (22) and impact factor and indicate that authors from the United States, Australia, Taiwan, United Kingdom and South Africa stand out in the construction of knowledge on educational research applying Facebook. Moreover, the ego-network of the Educational Research area shows that this area coexists with other areas of knowledge in the use of social networking, such as Computer Science, Linguistics and Health Sciences, indicating an interdisciplinary and transversal nature in different areas of research.

https://link.springer.com/article/10.1007/s11192-017-2294-1

Author(s): Renato Matos Lopes, Daniel José Garcia dos Santos de Faria, Antonio Augusto Fidalgo-Neto, Fabio Batista Mota
Organization: Fundação Oswaldo Cruz
Source: Scientometrics
Year:  2017

The global objective of sustainable development up to 2030 and the BRICS: the analysis of the feasibility and effectiveness of the synergies

Biz lit, Data Type, Research Examples, Research Type, ST&I policy, Strategic planning

The article contains analysis of renewed Sustainable Development Goals (SDGs) for the period up to 2030, characteristic of the development of cooperation among BRICS countries during Russia’s chairmanship in the union. It also relates to specific features of interaction of BRICS countries on environmental SDGs. Special attention is paid to the issue of climate change and its consequences in light of the decisions of Paris summit of 2015. In particular the article focuses on goals and tasks of BRICS countries related to climate change and response to it, decreasing emissions of greenhouse gases. The authors also consider the issues of and prospects for using renewable energy sources by BRICS countries, development of cooperation within the framework of BRICS Initiative on research and innovation .Qualitative approach is based on the literature review and consultations with the experts, while quantitative analysis includes collecting the news from Factiva database and processing it in Vantage Point software using bibliometric analysis and natural language processing.

https://publications.hse.ru/en/chapters/193349639

Author(s): Korobov NL, Terentyev AA
Organization: National Research University Higher School of Economics
Source: BRICS Countries: development strategies and mechanisms for coordination and cooperation in a changing world. Proceedings of the First International Scientific and Practical Conference, INION, 2-3 November 2015
Year: 2016

The Diffusion of Military Technology

Research evaluation, Research Examples, Research Type, ST&I indicators

The impact of national defense research and development spending on overall innovation depends on the extent to which the knowledge and technologies generated by defense funding diffuse. This article uses an original data-set of patents assigned to defense-servicing organizations to investigate the diffusion of military technologies. Contrary to the predictions of the prevailing scholarship, I find no difference in the rate of diffusion between civilian and military technologies. Neither do military technologies assigned to government agencies diffuse at different rates than those assigned to firms. The overall technological experience of the patent assignee is found to be a positive predictor of the diffusion of military technologies. The effect of the prevailing intellectual property rights regime is ambivalent: when US patents are included in the sample, the effect of patent protection is positive, when the US is excluded, the effect is either non-significant or negative depending on the model specification that is utilized.

http://dx.doi.org/10.1080/10242694.2017.1292203

Author(s): Jon Schmid
Organization: Georgia Institute of Technology
Source: Defence and Peace Economics
Year: 2017

Scientometric analysis of the emerging technology landscape (full-text)

Future-oriented technology analysis, Research Examples, Research Type

For researchers and decision makers in any technical domain, understanding the state of their area of interest is of critical importance. This “landscape‟ of emerging technologies is constantly evolving, and the sheer scale of research publication output in the modern era makes qualitative review increasingly difficult. Scientometric analysis is a valuable tool for the quantitative analysis of research output, and is employed by the Defence Science and Technology Laboratory (Dstl) Knowledge and Information Services in support of our research activities, for applications including identifying opportunities for academic collaboration, and technology watching/forecasting to identify emerging technologies and opportunities that may have implications for UK Defence. This paper provides an overview of our approach to conducting scientometric analysis of research papers and patent submissions. The methods for extracting and disambiguating publications are described, and the qualitative inferences we seek to make, along with some of the associated limitations and potential pitfalls are also discussed.

For FULL-TEXT see http://www.qqml.net/papers/March_2016_Issue/511QQML_Journal_2016_I_Anson_1-10.pdf

Author(s): Ian I’Anson
Organization: Defence Science and Technology Laboratory
Source: Qualitative and Quantitative Methods in Libraries
Year: 2016

Text mining to gain technical intelligence for acquired target selection: A case study for China’s computer numerical control machine tools industry

Research Examples, Research Type, Strategic planning, Tech mining

Technology strategy plays an increasingly important role in today’s Mergers and Acquisitions (M&A) activities. Informing that strategy with empirical intelligence offers great potential value to R&D managers and technology policy makers. This paper proposes a methodology, based on patent analysis, to extract technical intelligence to identify M&A target technologies and evaluate relevant target companies to facilitate M&A target selection. We apply the term clumping process and a trend analysis together with policy and market information to profile present R&D status and capture future development signals and trends in order to grasp a range of significant domain-based technologies. Furthermore, a comparison between a selected acquirer and leading players is used to identify significant technologies and sub-technologies for specific strategy-oriented technology M&A activities. Finally, aiming to recommend appropriate M&A target companies, we set up an index-based system to evaluate the acquired target candidates from both firms-side perspective and target firm-side perspective and differentially weigh for specific M&A situations. We provide an empirical study in the field of computer numerical control machine tools (CNCMT) in China to identify technology M&A targets for an emerging Chinese CNCMT company — Estun Automation under different M&A strategies.

http://dx.doi.org/10.1016/j.techfore.2016.10.061

Author(s): Tingting Ma, Yi Zhang, Lu Huang, Lining Shang, Kangrui Wang, Huizhu Yu, Donghua Zhu
Organization(s): Beijing Wuzi University, Beijing Institute of Technology, University of Technology Sydney
Source: Technological Forecasting and Social Change
Year: 2017

Evolutionary trend analysis of nanogenerator research based on a novel perspective of phased bibliographic coupling

Research Examples, Research profiling, ,

To evaluate the rapid growth of research on nanogenerators and the emergence of promising applications related to nanogenerators, evolutionary trends in the relevant research are analyzed based on phased bibliographic coupling (PBC). Through the novel method of PBC, the evolutionary trend of the relevant research on nanogenerators is roughly categorized into three phases, and the characteristic research topics, issues, articles and terms are discriminated and visualized. Beyond the traditional literature review of domain experts on nanotechnology, this article provides a novel means of visualizing more information about the evolution of the nanogenerator research over the past ten years, based on a more quantitative approach.

http://dx.doi.org/10.1016/j.nanoen.2017.02.020

Author(s): Munan Li, Alan L. Porter, Zhong Lin Wang
Organization(s): South China University of Technology, Georgia Institute of Technology
Source: Nano Energy
Year: 2017