Category Archives: Research Examples

Combining Scientometrics with Patent-Metrics for CTI Service in R&D Decision-Making: Practices of National Science Library of CAS

CTI, Research Examples, Research Type

Scientometric analysis and text-mining have been applied to scientific and technological trend-tracking and related scientific performance evaluations for several years in China. Since 2012, NSL-CAS provides CTI (competitive technical intelligence) services based on metrics for supporting R&D decision-making. NSL helps technology-based firms improve their innovation capabilities via CTI, for technology novelty review, selection of innovation paths, product development evaluation, competitor monitoring, identification of potential R&D partners, and support for industrial technology and development strategizing. Scientometric methods have established many indicators for technology analysis that can be applied individually or in combinations. Composite indexes are another useful option. For CTI services, we choose or customize layer or level indexes schemas for different purposes. For supporting industrial technological strategy decision-making and innovation path identification, scientometric indicators can be used for R&D trend analysis. Specifically, in meso-technology analysis, bibliometrics and patent analysis indicators can be combined in accord with different subjects or stages of an emerging technology, whose characteristics can then be reflected by these mixed indicators. Scientometric indicators can profile the framework for research subjects, and patent metrics can describe the technology development trends. In micro-technology analysis, technology trends analysis is used for new technological product development in planning strategy for technology-based firms, and bibliometric indicators can identify directions of related scientific subjects and research directions. In fact, when a client expresses a CTI need, they request the meso- and micro-, and even macro-technology analysis. So when we execute a CTI service, we run an iteration and loop analysis through bibliometric and patent metrics. We focus theme tracing or subject analysis by tech-mining and co-wording. For macro analysis, such as competition from institutions or countries and regions, we pay close attention to the combination of scientometric and patent indicators and appropriate schemas for CTI services.

Author(s): X. Liu , Y. Sun, H. Xu, P. Jia, S. Wang, L. Dong, X. Chen
Organization(s): National Science Library, Chinese Academy of Sciences
Source: Anticipating Future Innovation Pathways Through Large Data Analysis pp 321-339
Year: 2016

Nano-enabled Drug Delivery in Cancer Therapy: Literature Analysis Using the MeSH System

Future-oriented technology analysis, Research Examples, Research profiling, ST&I indicators

Biomedical literature provides abundant knowledge on R&D development and emerging themes and techniques to researchers and to enhance clinical treatment. Tracing research topic activity and researcher connections, and understanding evolving research landscapes, supports identification of research domain potential and informs R&D portfolio management. Methods: We offer a systematic approach to summarize biomedical research information compiled from the MEDLINE database. Selected MeSH qualifiers are applied as properties for clustering terms. Linkages among clusters are measured based on an object–attribute–value, relative research concentration. By arraying selected technical dimensions against each other, we enable identification and evaluation of latent connections. Results: 10354 MEDLINE records from 2000 to 2013 on nano-enabled drug delivery (NEDD) for cancer treatment are retrieved and analyzed. Seven topical clusters are generated with relatively clear boundaries. Elements with high relative research concentration but low number of records show emerging trends. And the concentrations’ decline indicates the universalization of drugs and nano components in cancer treatment. Conclusions: This systematic topical analysis process helps explore particular technological trends and potentials in biomedical areas. It combines an algorithm to reveal latent connections hidden in literature text content with expert judgement. From the standpoint of technology assessment, it provides researchers and administrators the ability to capture biomedical research dynamics.

http://www.eurekaselect.com/144824/article

Author(s): Tejraj M Aminabhavi, Jing Ma and Alan L Porter
Organization(s): Shree Dhanvantary Pharmacy College
Source: Pharmaceutical Nanotechnology
Year: 2016

A taxonomy of small firm technology commercialization

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

This article proposes a taxonomy of business models used by small, highly innovative firms focused on technology commercialization. Such firms disproportionately contribute to technological change in the US economy. The firms operate across industries and use a variety of technology platforms. Exploratory factor analysis of keyword occurrence on firm websites generated a taxonomy comprising: research organization; development stage biosciences; highly specialized component supplier; specialized subcontractor; product solutions providers; and service solutions providers. This framework provides entrepreneurs and policy makers with an overview of new technology commercialization paths tailored to small, innovative firms.

http://icc.oxfordjournals.org/content/25/3/371.abstract?keytype=ref&ijkey=1U2ith4ApM9iH7y

Author(s): Dirk Libaers, Diana Hicks, and Alan L. Porter
Organization(s): University of Missouri, Georgia Institute of Technology
Source: Industrial and Corporate Change
Year: 2016

Anticipating Future Innovation Pathways through Large Data Analytics

Research Examples

Tech Mining is a special form of large data analytics that extracts useful intelligence from search results on a target topic or organization downloaded from global Science, Technology & Innovation (ST&I) databases. This book presents 18 chapters covering advances in analytical frameworks, text anlaytic methods to treat ST&I data effectively, informative indicators and compelling visualizations, and cases illustrating intelligence on likely future developments of select technologies.

http://www.springer.com/us/book/9783319390543#aboutAuthors

Editor(s): Daim, T. Porter, A.L., Chiavetta, D., and Saritas, O.
Organization(s): Portland State University, Georgia Institute of Technology, National Research University-Higher School of Economics (HSE)
Source: Springer International Publishing
Year: 2016

Part I Data Science/Technology Review
FTA as Due Diligence for an Era of Accelerated Interdiction by an Algorithm-Big Data Duo
Denis Loveridge and Cristiano Cagnin

A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathway (FIP)
Munan Li

Profile and Trends of FTA and Foresight
Per Dannemand Andersen and Lars Alkærsig

Recent Trends in Technology Mining Approaches: Quantitative Analysis of GTM Conference Proceedings
Nadezhda Mikova

Anticipating Future Pathways of Science, Technologies, and Innovations: (Map of Science)2 Approach
Irina V. Efimenko, Vladimir F. Khoroshevsky and Ed. C.M. Noyons

Part II Text Analytic Methods
Towards Foresight 3.0: The HCSS Metafore Approach—A Multilingual Approach for Exploring Global Foresights
Stephan De Spiegeleire, Freija van Duijne and Eline Chivot

Using Enhanced Patent Data for Future-Oriented Technology Analysis
Christopher L. Benson and Christopher L. Magee

Innovation and Design Process Ontology
Cherie Courseault Trumbach, Christopher McKesson, Parisa Ghandehari, Lawrence DeCan and Owen Eslinger

Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis, and Term Clumping Analysis
Ying Huang, Yi Zhang, Jing Ma, Alan L. Porter, Xuefeng Wang and Ying Guo

Identifying Targets for Technology Mergers and Acquisitions Using Patent Information and Semantic Analysis
Lu Huang, Lining Shang, Kangrui Wang, Alan L. Porter and Yi Zhang

Identifying Technological Topic Changes in Patent Claims Using Topic Modeling
Hongshu Chen, Yi Zhang and Donghua Zhu

Semi-automatic Technology Roadmapping Composing Method for Multiple Science, Technology, and Innovation Data Incorporation
Yi Zhang, Hongshu Chen and Donghua Zhu

Generating Futures from Text—Scenario Development Using Text Mining
Victoria Kayser and Erduana Shala

Part III Anticipating the Future—Cases and Frameworks
Additive Manufacturing: Importance and Challenges for Latin America
Marisela Rodríguez Salvador, Ana Marcela Hernández de Menéndez and David Alfredo Arcos Novillo

The Application of Social Network Analysis: Case of Smart Roofing
Tugrul U. Daim, Monticha Khammuang and Edwin Garces

Building a View of the Future of Antibiotics Through the Analysis of Primary Patents
Cristina d’Urso de Souza Mendes and Adelaide Maria de Souza Antunes

Combining Scientometrics with Patent-Metrics for CTI Service in R&D Decision-Making: Practices of National Science Library of CAS
X. Liu, Y. Sun, H. Xu, P. Jia, S. Wang, L. Dong and X. Chen

Tech Mining for Emerging STI Trends Through Dynamic Term Clustering and Semantic Analysis: The Case of Photonics
Pavel Bakhtin and Ozcan Saritas

A systematic review of studies on leadership models in educational research from 1980 to 2014

Research Examples, Research profiling, Research Type

The purpose of this study is to reveal the extent to which different leadership models in education are studied, including the change in the trends of research on each model over time, the most prominent scholars working on each model, and the countries in which the articles are based. The analysis of the related literature was conducted by first employing a bibliometric analysis of the research and review papers indexed in the Web of Science database between 1980 and 2014. Then, a more in-depth analysis of selected papers was done using the content analysis method. The results showed that there has been increasing interest in leadership models in educational research over time. Distributed leadership, instructional leadership, teacher leadership, and transformational leadership are the most studied leadership models in educational research. It was also found that related research increasingly focuses on the effects of leaders on organizational behaviors/conditions and on student achievement. Accordingly, usage of quantitative methodology has significantly increased during the last decade. Possible reasons for these changes, implications, and recommendations for future research are also discussed.

http://ema.sagepub.com/content/early/2016/09/22/1741143216659296.abstract

Author(s): Sedat Gumus, Mehmet Sukru Bellibas, Murat Esen, Emine Gumus
Organization(s): Necmettin Erbakan Universitesi
Source: Educational Management Administration & Leadership
Year: 2016

Technological forecasting of hydrogen storage materials using patent indicators

Research Examples

Hydrogen is a promising future energy carrier due to its high energetic content and sustainable appeal when produced via clean manufacturing processes. One of the technological challenges concerns its storage in a safe, compact, low mass and high gravimetric capacity manner. In this sense, many Hydrogen Storage Materials (HSM) have been investigated to house this source of energy, such as Simple Hydrides, Borohydrides, Metal-Organic Frameworks (MOFs), Alanates, AB5 Alloys, Ammonia Borane, Carbon Nanotubes and Graphene. Scientific advances aside, less attention has been paid in establishing a panorama of the technological developments in HSM. To assess the technological advances in HSM, patent analysis can be carried out using bibliometrics and text mining approaches in order to forecast the future trend of development and the main players involved in this process. In this work, we evaluated the technological life cycle stage, HSM class prominence and the role of different countries in HSM patenting. The results show that overall HSM patenting decreased after 2007, except in the case of China. On the other hand, the USA, Japan, China and the European Union (EU) were the main patenting territories. Simple Hydrides and Borohydrides were the main classes of HSM that received more attention from the USA and the EU, while Japan had a high share in Solid Solution Alloys. The life cycle stage of HSM seems to be between the first prototype market experiences and full market deployment, even though future assessment is needed to fine-tune the analysis. The developed indicators may also support the funding of new projects and decision making.
http://www.sciencedirect.com/science/article/pii/S0360319916325241

Author(s): Lucas Faccioni Chanchetti, Sergio Manuel Oviedo Diaz, Douglas Henrique Milanez, Daniel Rodrigo Leiva, Leandro Innocentini Lopes de Faria, Tomaz Toshimi Ishikawa
Organization(s): Federal University of Sao Carlos
Source: International Journal of Hydrogen Energy
Year: 2016

Collaboration in science and technology organizations of the public sector: A network perspective

Network analysis, Research Examples, Research Type

Engaging in collaborative networks can be an important facilitator of innovation for public sector science and technology (S&T) organizations. It is also an important component of S&T policies that require indicators that can assess the networks through which these organizations innovate. In this study, we apply network indicators to two S&T organizations that are part of the Brazilian public health sector. The indicators cover two complementary perspectives: one that considers the organizations’ scientific networks and the other that considers their technological networks. The indicators allowed the analysis of the networks in which the organizations were engaged and the understanding of important aspects of their collaboration patterns that can support strategic decisions. The method employed in this paper proved to be a valuable diagnostic tool and a useful mechanism for evaluating the performance and supporting the development of S&T institutions.

http://spp.oxfordjournals.org/content/early/2016/04/25/scipol.scw013.abstract

Author(s): Bruna P. F. Fonseca, Elton Fernandes and Marcus V. A. Fonseca
Organization(s): Federal University of Rio de Janeiro, Oswaldo Cruz Foundation, (Fiocruz)
Source: Science and Public Policy
Year: 2016

Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data

Research Examples

This paper proposes technical keyword-based analysis of patents to monitor emerging technologies, and uses a keyword-based model in contents-based patent analysis. This study also presents methods to automatically select keywords and to identify the relatedness among them. After using text-mining tools and techniques to identify technical keywords, a technical keyword-context matrix is constructed. The relatedness between pairs of keywords is then identified in a transformation of this matrix. Patent documents are clustered by using a hierarchical clustering algorithm based on patent document vectors. As a result, emerging technologies can be monitored by identifying clusters composed of technical keywords. A case study of mechanisms of electron transfer in electrochemical glucose biosensors is given to demonstrate how the proposed method can monitor emerging technologies.

http://www.sciencedirect.com/science/article/pii/S0040162516302256

Author(s): Junegak Joung, Kwangsoo Kim
Organization(s): Pohang University of Science and Technology
Source: Technological Forecasting and Social Change
Year: 2016

Research topics and implementation trends on automotive head-up display systems

CTI, Research Examples, Research Type

For about 5 years, production of automobiles equipped with head-up display (HUD) systems has continuously grown and this trend will remain for at least three years more from 2014 [7, 19]. Therefore, looking for clarifying how to orientate future efforts in developing these systems, a systematic analysis approach has been implemented for identifying best design practises, common characteristics, gaps, implementation trends and research topics on automotive HUD systems. The proposed approach is conducted on two areas, firstly exploring the current scientific literature to find the most relevant research topics and understanding how these are evolving. Secondly, a competitive intelligence analysis was conducted compiling patents related to automotive HUD systems. This analysis was specially oriented towards determining, currently and in the near future, basic product design implementation trends in automotive HUD systems. Finally, the results obtained from both scientific and technological points of view were compared and commented, looking for determining common, converging or diverging, evolution parameters in automotive HUD systems. In this way, the results exposed the distraction as an outstanding research topic for these systems, becoming even more crucial if they are mixed with augmented reality projections, advanced driver assistance systems (ADAS) or infotainment systems.

http://link.springer.com/article/10.1007/s12008-016-0350-3

Author(s): J. Alejandro Betancur, Jesús Villa-Espinal, Gilberto Osorio-Gómez, Sergio Cuéllar, Daniel Suárez
Organization(s): Pontificia Universidad Javeriana, Universidad EAFIT
Source: International Journal on Interactive Design and Manufacturing (IJIDeM)
Year: 2016

A bibliometric analysis of the development of next generation active nanotechnologies

Research Examples, Research profiling, Research Type

Delineating the emergence of nanotechnologies that offer new functionalities is an important element in an anticipatory approach to the governance of nanotechnology and its potential impacts. This paper examines the transition to next generation active nanotechnologies which incorporate functions that respond to the environment or systems concepts that combine devices and structures that are dynamic and which may change their states in use. We develop an approach to identifying these active nanotechnologies and then use bibliometric analysis to examine the extent of research papers and patents involving these concepts. We also examine references to environmental, health, and safety concepts in these papers, given that these next generation nanotechnologies are likely to have risk profiles that are different from those of first-generation passive nanomaterials. Our results show a steady growth overall in focus on active nanotechnologies in the research literature and in patents over the study period of 1990–2010. We also find an increase in consideration given to environmental, health, and safety topics. While gaps are highlighted in our understanding of research and innovation in active nanotechnologies, the results suggest that there is beginning to be a shift to active nanotechnologies, with the implication that governance processes need to be conscious of this shift and to prepare for it.

http://link.springer.com/article/10.1007/s11051-016-3578-8

Author(s): Arho Suominen, Yin Li, Jan Youtie, Philip Shapira
Organization(s): Georgia Institute of Technology, University of Manchester, VTT Technical Research Centre of Finland
Source: Journal of Nanoparticle Research
Year: 2016