Category Archives: CTI

Nano/micro-electro mechanical systems: a patent view

Combining both bibliometrics and citation network analysis, this research evaluates the global development of micro-electro mechanical systems (MEMS) research based on the Derwent Innovations Index database. We found that worldwide, the growth trajectory of MEMS patents demonstrates an approximate S shape, with United States, Japan, China, and Korea leading the global MEMS race. Evidenced by Derwent class codes, the technology structure of global MEMS patents remains steady over time. Yet there does exist a national competitiveness component among the top country players. The latecomer China has become the second most prolific country filing MEMS patents, but its patent quality still lags behind the global average.

http://link.springer.com/article/10.1007/s11051-015-3273-1

Author(s): Guangyuan Hu and Weishu Liu
Organization(s): Shanghai University of Finance and Economics,Shanghai Jiao Tong University
Source: Journal of Nanoparticle Research
Year: 2015

Visualization of knowledge integration in a Japanese cutting edge research institution: A multi level bibliometric perspective

The complexity of the problems facing society, such as health care, mobility, or environment, call for solutions cutting across different disciplines. This lies at the heart of interdisciplinary research. Interdisciplinarity has been strongly promoted worldwide over the recent years. For the case of Japan, a prominent example is the WPI (World Premier International Research Center) initiative. The integration of unrelated or distant bodies of knowledge – also regarded as knowledge integration, fusion, confluence, or convergence – is an essential factor for interdisciplinary research. This study aims at quantitatively and visually capturing knowledge integration in a cutting edge WPI research institution in Japan. By combining different existing approaches into one integrated framework, fuller, more holistic, insights into the knowledge integration efforts can be gained. Three levels of analysis are proposed: macro, meso, and micro; each of them targeting knowledge integration at different granularities. For each of these levels, different bibliometric based and visualization approaches are used: global research maps, science overlays, and research landscapes, respectively. The results of these analyses will not only provide key insights into the way knowledge integration efforts can be assessed in cutting edge research institutions, but also they are expected to serve as a spearheading efforts for the conduction of further `technology intelligence’ studies.

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7273021

Author(s): A. A. Robinson
Organization: Kyoto University
Source: 2015 Portland International Conference on Management of Engineering and Technology (PICMET)
Year: 2015

Technology Early Warning Model: A New Approach Based on Patent Data

With the development of technology, more and more technical issues have been exposed, such as technical disputes, technical barriers and technical crisis. Thus, it is necessary to warn enterprises about technical deviation and predict future technology crises. Patent data can contain much information about technologies and would be useful in this setting. This paper proposes a technology early warning model based on patent data. This model helps enterprises analyse the technical crisis level and trends from four different perspectives (technical stability, technical monopoly, technical security and technical prospects).

http://ceur-ws.org/Vol-1437/ipamin2015_paper4.pdf

Author(s): Ganlu Sun, Ying Guo, Fan Yang
Organization(s): Beijing Institute of Technology
Source: Proceedings of the Second International Workshop on Patent Mining and
its Applications (IPAMIN)
Year: 2015

Graphene Research and Enterprise: Mapping Innovation and Business Growth in a Strategic Emerging Technology

This paper presents the results of research to develop new data sources and methods that can be combined with existing information for real-time intelligence to understand and map enterprise development and commercialisation in a rapidly emerging and growing new technology. As a demonstration case, the study examines enterprise development and commercialisation strategies in graphene, focusing on a set of 65 graphenebased small and medium-sized enterprises located in 16 different countries. We draw on available secondary sources and bibliometric methods to profile developments in graphene. We then use computerised data mining methods and analytical techniques, including cluster and regression modelling, to identify patterns from publicly available online information on enterprise web sites. We identify groups of graphene small and medium-sized enterprises differentiated by how they became involved with graphene, the materials they target, whether they make equipment, and their orientation towards science and intellectual property. In general, access to finance and the firms’ location are significant factors that are associated with graphene product introductions. We also find that patents and scientific publications are not statistically significant predictors of product development in our sample of graphene SMEs. We show that the UK has a cohort of graphene-oriented SMEs that is signalling plans to develop intermediate graphene products that should have higher value in the marketplace. Our findings suggest that UK policy needs to ensure attention to the introduction and scale-up of downstream intermediate and final graphene products and associated financial, intermediary, and market identification support.

Author(s): Philip Shapira, Abdullah Gök, and Fatemeh Salehi Yazdi
Organization(s): Manchester Institute of Innovation Research, University of Manchester
Source: Nesta Working Paper Series
http://www.nesta.org.uk/publications/graphene-research-and-enterprise-mapping-innovation-and-business-growth-strategic-emerging-technology
Year: 2015

Patento-scientometric indicators for the selection of projects by investment funds

Purpose
This paper aims to assess a method that applies scientometric and patentometric indicators in the selection process of projects by seed capital funds. There is increasing interest in technology-based enterprises, for their capacity to contribute to economic and social development. Nevertheless, in practice, there is some difficulty in assessing non-financial criteria associated with technology for the purposes of choosing investment opportunities.

Design/methodology/approach
The literature has presented various methods to instrumentalize the process of evaluation and selection of investment projects. This study focuses on an enterprise that received an investment by the largest seed capital fund in Brazil, to assess to what extent scientific and technological indicators can contribute to understanding the market potential of the firm’s technology.

Findings
The results show that the use of scientometric and patentometric indicators favors the process of judging non-financial criteria, in particular those related to technology, market, divestment and team.

Originality/value
The originality of this paper is in the evaluation of a patento-scientometric approach for the selection process of projects by seed capital funds.

http://www.emeraldinsight.com/doi/abs/10.1108/VINE-10-2014-0056

Author(s): Gustavo da Silva Motta, Rogério Hermida Quintella, Pauli Adriano de Almada Garcia
Organization(s):Universidade Federal Fluminense, Universidade Federal da Bahia
Source: VINE
Year: 2015

How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: “problem & solution” pattern based semantic TRIZ tool and case study

 

Competitive technical intelligence addresses the landscape of both opportunities and competition for emerging technologies, as the boom of newly emerging science & technology (NEST)—characterized by a challenging combination of great uncertainty and great potential—has become a significant feature of the globalized world. We have been focusing on the construction of a “NEST Competitive Intelligence” methodology that blends bibliometric and text mining methods to explore key technological system components, current R&D emphases, and key players for a particular NEST. Continue reading How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: “problem & solution” pattern based semantic TRIZ tool and case study

User-centered innovative technology analysis and prediction application in mobile environment

Business intelligence is critical in defining the strategy and roadmap of an organization. However, business intelligence covers too much to consider all in such relevant fields as data analytics, text mining, predictive analytics, and so on. Continue reading User-centered innovative technology analysis and prediction application in mobile environment

Création de Systèmes d’Intelligence dans une Organisation de Recherche et Développement avec la Scientométrie et la Médiamétrie (Creation of Intelligence Systems in a Research and Development Organisation with Scientometrics and Mediametrics)

Ce travail est un trait d’union entre les sciences de l’information et de la communication. Une robuste méthodologie et des outils performants d’analyses bibliométriques sont utilisés pour des études scientométriques et médiamétriques. Pour cela, nous avons étudié la production scientifique d’une organisation publique de recherche et développement, l’Entreprise Brésilienne de Recherche Agronomique (Embrapa), les compétences de ses chercheurs et enfin nous avons évalué la performance de cette organisation et ses 40 centres de recherche dans les médias. Continue reading Création de Systèmes d’Intelligence dans une Organisation de Recherche et Développement avec la Scientométrie et la Médiamétrie (Creation of Intelligence Systems in a Research and Development Organisation with Scientometrics and Mediametrics)

Technology Prospecting on Enzymes for the Pulp and Paper Industry

The use of enzymes in the pulp and paper industry was introduced in the 1986. However, their use has been relatively minor. This prospective study aims at enhancing the understanding of the most important advances regarding the use of enzymes in this industry and to identify the future trends of this technology. Information gathered from the Web of Science shows a growing number of papers published on this topic indicating an increased interest in this issue. A study on patents also displayed a high number documents related to this technology. Cellulase, xylanase, laccase and lipase are the most important enzymes that can be used in the pulp and paper processes. Furthermore, the key objectives of enzymes development have been in the bleaching boosting with xylanases and fiber modification with cellulases. The current and future trends on the development of enzymes are focused on increasing their thermostability and their alkalinity strength. Continue reading Technology Prospecting on Enzymes for the Pulp and Paper Industry