All posts by VPInstitute

Changes in the Intellectual Structure of Service Innovation and Service System in The Digital Age: An Interdisciplinary Analysis From 1986 To 2015 (full-text)

In the past thirty years, growth in all service sectors and rapid advances in
information and communication technologies (ICT) have revealed new
challenges for improving service systems through service innovation. Although,
these areas of researches are closely related, few studies have
investigated the relationship between these areas. This study aims to analyse
the changes in the intellectual structure of service innovation and service
system research in the digital age in order to a better understand its
origins, current state, and future directions. Drawing on bibliometric methods,
our proposed methodological approach combines the co-words, cocitation
analysis with the qualitative thematic analysis. We perform an extensive
co-words and co-citation analysis using multidimensional scaling
(MDS), as well as factor analysis and principal component analysis (PCA)
to examine 20.950 key terms. These key terms, extracted from 796 articles,
published in 277 journals over three decades (1986-2015), indexed in ISI
Web of Science and/or Scopus. Subsequently, we examine topics of the
recent studies, over the period of the last 5 years, through a thematic
analysis. Results provide a ‘comprehensive view’ of the intellectual structure
of service innovation and service system in the digital age, how they
both are evolved and their related topics over time; Moreover, it clarifies
the main players in bridging conceptual domains of research.

Full-text paper

https://www.iris.unina.it/retrieve/handle/11588/655196/84709/PROCEEDINGS%20%2026%20th%20Reser%20Conference-%202016%20Naples.pdf#page=115

Author: Milena J. Silva-Morales
Organization: Grenoble Alps University
Source: 26th Annual RESER Conference
Year: 2016

Evidences in Scientific Knowledge Management of Biotechnology in Brazil (full-text)

This paper presents a study on scientific knowledge management of Biotechnology area through analysis of scientific Biotechnology trends in Brazil, providing an overview of the science profile as well as regional development and its relation to issues of topics based on the analysis of scientific publications for the period of last 10 years. Given these promising prospects, the monitoring and searching of scientific advances and trends in this area of knowledge have become essential for searching opportunities in R&D and also for potential innovations and business opportunities, both in developed countries as well as in countries of emerging economies such as Brazil. The survey was accomplished in database Web of Science using 60 terms selected in Biotechnology area and 72,187 documents has been organized. Scientific indicators were produced using data/text mining tools. It was possible to find a greater number of scientific publications in areas such as Biochemistry & Molecular Biology and Genetics & Heredity. Results pointed out The USA as the main foreign partner-country of scientific publications followed by UK, France and Germany. It was possible to verify cooperation network with others Latin American countries.

Full-text paper

Author(s): Maria de Fátima Ebole Santana, Nei Pereira Jr, Adelaide Maria de Souza Antunes, Marcio Sacramento de Oliveira
Organization(s): Polytechnic School of Health Joaquim Venancio (EPSJV)/ Oswaldo Cruz Foundation (Fiocruz),  Federal University of Rio de Janeiro (UFRJ), National Institute of Industrial Property (INPI)
Source: International Journal of Managerial Studies and Research (IJMSR)
Year: 2016

Relational Governance and Modularity of Japanese Automotive Industry: Effects and Dynamic of Strategic Action FIELD (full-text)

The objective of this study was to analyze the modularity in the networks of Japanese automakers from 2007 to 2014 and its association to the dynamics of strategic action fields. The metric of modularity (Q) (Clauset, Newman, & Moore, 2004; Newman, 2006) indicates the best partition in groups of a particular network. As a global metric longitudinal network modularity indicates changes in the composition of the groups. Variano, McCoy & Lipson (2004) showed that the presence of a hierarchy of modules (groups) confers increased robustness and stability of a structure in networks where this is expose to external disturbances. With this in mind we sought time events that have caused disturbances to the Japanese industry and combine them to variations in modularity (Q). Finally, we associate this level of analysis to the dynamics of a meso level arrangement or field according to Fligstein & McAdam (2012). There may be a relationship between modularity and structure of a field. For Fligstein & McAdam (2012), actors in a stable field will try to maintain their position and arrangement; the changes are due to the changes and actions of other actors, so field is intersubjective (Fligstein & McAdam, 2012; Nooy, 2003). So in a stable field the transformation is progressive, as there is this idea of defending the arrangement and relational and structural positions. If the field of Japanese automakers is stable, so their responses to disturbances will attempt to maintain the status quo.
In this paper we consider two secondary sources, (i) the annual journal The Motor Industry of Japan from JAMA, and (ii) production statistics of OICA. Were raised 670 contractual relationships between 82 legal entities grouped by Japan, China, Europe and USA and by Ownership, Joint Ventures, Assembly Contracts and Technology Alliances, in order to analyze the modularity associatively to disturbances.

The results revealed three times, the first resulting from the financial crisis of 2008 which boosted the strengthening of the Japanese domestic market by assembly contracts. The second in 2011 caused by the tsunami, when Toyota introduced answers celebrating Technology Alliances with Japan and US automakers. Finally the third in 2013, when apparently pressured by rising demand for alternative energy sources Japanese automakers began a demobilization process of Assembly Contracts in Europe and mobilization of domestic Assembly Contracts, also initiates a mobilization of Technological Alliances with European and US automakers. So the main results reveal that modularity (Q) was sensitive to identify strategic action fields dynamics. These results are combined with clustering technique of data offers rich detail analysis. Also showed great effort into keeping the local market despite the gains in strengthens relations with China. The paper finally contributes to understand the relationship between networks and fields through the Q sensibility to disturbances. Studies correlating network and fields are central to the study of institutions.
Full-text paper

Author(s): Paulo Cesar Matui, Mário Sacomano Neto
Organization(s): Federal University of Sao Carlos
Source: Moral Economies, Economic Moralities – June 24 – 26, 2016
https://sase.confex.com/sase/2016am/webprogram/Paper4709.html
Year: 2016

Study on main delivery actors in Technology Delivery System (TDS) based on multi-data sources

As innovation becomes important and complex, researchers started to explore innovation process under the background of Big Data. Technology Delivery System (TDS), a systematic method dynamically showing innovation process, has caused the extensive concern worldwide. As an essential step to construct TDS better, this study aims to identify main delivery actors in TDS based on multi-data sources, then analyze the delivery relationships between actors and evaluate various actors’ delivery capacity. We hope to improve current technology management and opportunity identification for complex innovations. Firstly, we divide TDS into four phases and apply different matched data sources to identify actors in corresponding phases. Secondly, we try to find technology relationships between actors. Finally, we conduct three indicators to calculate delivery capacity of main actors. With the development of intelligent manufacturing, we choose its new mode, Cloud Manufacturing in China, as a case to verify the feasibility of the approach.

http://ieeexplore.ieee.org/abstract/document/7797958/

Author(s): Ying Guo, Ganlu Sun, Ying Huang, Yun Fu, Yue Qian
Organization(s): Beijing Institute of Technology
Source: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Year: 2016

Forecasting Cloud Computing: Producing a Technological Profile

Migrating to cloud computing is one of the current enterprise challenges. In this sense, the small and medium enterprise should be the most interested, given that initial investments are avoided and the technology offers gradual implementation. However, 54.9 % of SMEs confess that they have no knowledge of cloud technology. Accordingly, this paper aims at generating a relevant profile of cloud computing technology, as the first part of a novel approach based on four families of technological forecasting methods to gather and structure information concerning an emerging technology, generating a relevant profile, identifying its past development, forecasting the short and medium-term evolution and integrating all of the elements graphically into a hybrid roadmap. The outcome of the approach will raise the awareness of such technology as well as facilitate its implementation.

http://link.springer.com/chapter/10.1007/978-3-319-45748-2_3

Author(s): Iñaki Bildosola, Rosa Rio-Bélver, Ernesto Cilleruelo, Javier Gavilanes
Organization(s): University of the Basque Country UPV/EHU
Source: Engineering Systems and Networks:The Way Ahead for Industrial Engineering and Operations Management (Springer International Publishing)
Year: 2017

Retraction: The Other Face of Research Collaboration

There is an increasing amount of research investigating retractions. Yet little attention has been paid to the relationship between retractions and collaboration. This study draws upon two notions from the social psychological literature on group interaction – diffusion of responsibility and internal auditing – to examine the effect of collaboration size on retraction. We test our hypotheses regarding the relationship between retractions and collaboration on a unique publication dataset of retractions and its control group constructed by the nearest-neighbor-matching approach. Our analysis does not support the diffusion of responsibility as no significant evidence indicates that collaboration suffers from producing flawed research, at least in the form of retraction. We also find that ceteris paribus publications with authors from elite universities are less likely but quickly to be retracted. There also is no significant impact of collaboration size on the speed of retraction of Chinese articles, although China stands out with the fastest retracting speed. Our findings have policy implications for the governance of global science, especially that involves collaboration.

Full-text paper

Author(s): Li Tang, Guangyuan Hu, Yang Sui, Cong Cao
Organization(s):  Fudan University, Shanghai University of Finance Economics, University of Nottingham
Source: The 7th International Conference on “Public Management in 21st Century: Opportunities and Challenges”
Year: 2016

2016 Global TechMining Conference

In conjunction with the 21st International Conference on Science and Technology Indicators, the VP Institute is sponsored the 6th  Global TechMining Conference on September 13, 2016 at the Universitat Politècnica de València.

09:40-10:40 Session 1A: TECHMINING METHODS
09:40

Wolfgang Glänzel, Sarah Heeffer and Bart Thijs
Lexical analysis of scientific publications for nano-level scientometrics
abstract  | presentation
10:00

Ying Huang, Qi Lv, Donghua Zhu, Alan Porter and Xuefeng Wang
Early insights of Emerging Sources Citation Index (ESCI): a bibliometrics analysis and overlap mapping method
abstract | presentation
10
Lexi White
Mapping Sugar Sweetened Beverage Policy: TechMining Across SCOPUS and LexisNexis
abstract
09:40-10:40 Session 1B: TECHMINING INDICATORS
09:40

Giorgio Triulzi and Chris Magee
Knowledge discontinuities, obsolescence and the rate of technology performance improvements
abstract
10:00

Jan Youtie, Gregg Solomon, Stephen Carley, Seokbeom Kwon and Alan Porter
Disciplinary Integration and the Role of Border Fields
abstract
10:20

Konstantin Fursov and Alina Kadyrova
How the analysis of structural holes in academic discussions helps in understanding genesis of advanced technology
11:05-12:05 Session 2A: TECHNICAL EMERGENCE
11:05

Jos Winnink, Robert Tijssen and Ton Van Raan
Finding factors behind potential breakthrough papers
11:25

Stephen Carley, Nils Newman, Alan Porter and Jon Garner
A Measure of Staying Power: Does the Persistence of Emergent Concepts Significantly Vary by Technology Space?
11:45

Daniele Rotolo
Networks dynamics in the case of emerging technologies
11:05-12:05 Session 2B: TECHMINING FOR INNOVATION STRATEGY
11:05

Yi Zhang, Ying Huang, Qian Yue and Ying Guo
Rejecting Moderation: An Entropy-based Indicator System for Measuring Patent Technological Innovation Potential
11:25

Nadezhda Mikova
Integration of tech mining into technology roadmapping: advanced tools for creating, validating and updating technology roadmaps
11:45

Chunjuan Luan
The evolution of the disciplinary structure of Nanoscience & Nanotechology
abstract | presentation
13:45-15:00 Session 3A: METHODS IN RESEARCHER DISAMBIGUATION & CLASSIFICATION
13:45

Hongqi Han
Research on Author Name Disambiguation Based on Semantic Fingerprint
abstract
14:05

Christopher Harrison and Rich Corken
Gender profiles in patenting: analysing female inventorship
abstract  presentation
14:25

Maria Karaulova, Abdullah Gök and Philip Shapira
Identifying Author Heritage Using Surname Data
abstract
14:45

Mehmet Ali Abdulhayoglu and Bart Thijs
Leveraging ResearchGate for the purpose of Author Name Disambiguation
abstract | presentation
13:45-15:00 Session 3B: TECHMINING APPLICATIONS: Biomedical
13:45

Philippe Gorry
Pharma Competitive Intelligence using open source data and visualization tool: towards metrics for drug R&D milestones
abstract
14:05

Alfonso Avila Robinson, Nazrul Islam and Shintaro Sengoku
What’s behind the curtain? – Dissecting the dynamics of evolution of emerging stem cell-based therapies
abstract
14:25

Ricardo Barros Sampaio, Bruna de Paula Fonseca E Fonseca, Bethania de Araujo Almeida and Erika Aragão
Applying Network Analysis Method to Aid Public Policy on Health: A Case Study in Brazil
abstract 
14:45

Jose M. Vicente-Gomila, Anna Palli, Begoña De La Calle, Miguel Angel Artacho and Sara Jimenez
Discovering competitive strategies, accelerated with TechMining
abstract
15:25-16:25 Session 4A: TECHMINING CLUSTERING METHODS
15:25

Patricia Helmich, Rainer Frietsch and Peter Neuhäusler
From patents to technologies – A new level of analysis? abstract  presentation
15:45

Jorge Mario Carrasco Ortiz, Jenny Marcela Sanchez Torres and Fabio Augusto Gonzalez Osorio
A very-short-text clustering method based on distributed representation to identifying research capabilities of a Higher Education Institution
abstract  | presentation
16:05

Jianhua Liu, Alan Porter, Zhixiong Zhang, Hongmei Guo, Li Qian and Hongbo Shi
Comparison of different “window-size” key phrase co-occurrence for knowledge representation
abstract

2015 Global TechMining Conference

Proceedings of the 5th Global TechMining Conference – September 16, 2015

DATA SCIENCE AND TECHMINING Session Chair : Arho Suominen

  1. Innovation and business growth in a strategic emerging technology: New methods for real-time intelligence on graphene enterprise development and commercialization Philip Shapira, Abdullah Gok, and Fatemeh Salehi Yazdi
  1. Assessment of entrepreneurial activity in innovative system: Towards measurement models and indicators Arash Hajikhani, Helinä Melkas, and Jari Porras
  1. Under-reporting research relevant to local needs in the global south. Database biases in the representation of knowledge on rice Ismael Rafols, Tommaso Ciarli, and Diego Chavarro

PATENTS AND TECHMINING Session Chair : Rich Corken

  1. Ownership transfer of patents at the State Intellectual Property Office of China Peter Neuhäusler and Rainer Frietsch
  1. Methodology for identifying pharmaceutical key molecules using technology foresight of patent documents Flavia Maria Lins Mendes and Adelaide Antunes
  1. An in depth study of patent thickets: A case study of lithium ion accumulators Jean-Paul Rameshkoumar, Marina Flamand, and Johannes van der Pol

TECHMINING APPLIED Session Chair : Denise Chiavetta

  1. A Scientometric analysis of additive manufacturing in Latin America Marisela Rodriguez Salvador , Ana Marcela Hernández de Menéndez, and David Alfredo Arcos Novillo
  1. Tech mining for monitoring technology trends: related methods, sources and software tools Nadezhda Mikova
  1. Combining scientometrics with patent-metrics analysis for CTI services in R&D decision-making: Practices of the National Science Library of CAS Xiwen Liu, Ping Jia, Yuling Sun, and Huifang Xu

METHODS IN UNSUPERVISED LEARNING Session Chair : John Chase

  1. A patent search strategy based on machine learning for the emerging field of service robotics Vladimir Korzinov and Florian Keuhauff
  1. Overlay of science and technology patterns with unsupervised learning: Case of thermal management system Samira Ranaei, Arho Suominen, Mika Lohtander, and Tuomo Kassi
  1. Map of Technology: Topic modeling full-text patent data Arho Suominen and Hannes Toivanen

TECHMINING FOR TECHNOLOGY PLANNING Session Chair : Jan Youtie

  1. Technology mining for emerging S&T trends and developments: Dynamic term clustering and semantic analysis Pavel Bakhtin and Ozcan Saritas
  1. Tech Mining to validate and refine a technology roadmap Geet Lahoti, Alan L. Porter, Chuck Zhang, Jan Youtie, Ben Wang, and Diana M. Hicks
  1. Leveraging tech mining for revealing and forecasting innovation pathways: What now and what next? Douglas Robinson

INTERDISCIPLINARY RESEARCH AND CITATION ANALYSIS Session Chair : Ismael Rafols

  1. Machine learning based classification of research grant award records Jeffrey Alexander, John Byrnes , and Christina Freyman
  1. Tech Mining cited references to understand the influence of journal articles on reports of the US national research council Jan Youtie, Barry Bozeman, Andrew Kao, and Sahra Jabbehdari

MAPPING FOR TECHMINING Session Chair : Luciano Kay

  1. Funding proposal overlap mapping: A tool for science and technology management Ying Huang, Yi Zhang, Alan Porter, Jan Youtie, Luciano Kay, and Donghua Zhu
  1. Classifying biomedical text for mining keyword correlations and technology opportunities analysis Jing Ma, Donghua Zhu, Alan Porter, and Ying Huang

5-MINUTE POWER LUNCH TALKS

  • Testing technology-industry concordances using linked micro-level data on patents and firms Qifeng Weng and Zachary Brown
  • Identifying hotspots: assessing when the use of heat maps is preferable to more conventional cartography Stephen Carley
  • Text mining non-technical terms for technology mining Cherie Trumbach
  • Nanotechnology landscape in Brazil: a value chain framework analysis Daniel Giacometti Amaral, Adelaide Antunes and Maria Simone de Menezes Alencar
  • Building a patent search strategy of an emerging technology using citation information Seokbeom Kwon

2014 Global TechMining Conference

DEVELOPMENTS IN METHODS

A Comparison of Social Science Research on Nanotechnology and Synthetic Biology
Jan Youtie, Philip Shapira
Presentation PowerPoint Slides

Intellectual property search methods and innovation impact therewith beyond expectations 
Damien Lapray and Serge Rebouillat
Presentation PowerPoint Slides

How can a word be disambiguated in a set of documents: using recursive Lesk to select relevant records
Diego Chavarro  and Yuxian Liu
Presentation PowerPoint Slides

TOPIC MODELING 

Automatic classification of patents oriented to problems and solutions: a case study on large aperture optical elements
Zhengyin Hu, Shu Fang and Tian Liang
Presentation PowerPoint Slides

Garbage in, garbage out: Impact of sequence matching based text cleaning and phrase identification on unsupervised text mining
Arho Suominen and Hannes Toivanen

Emerging Topic Detection based on LDA Combined with Bibliometrics Indices 
Jianxia Ma

PATENTS 

A multidimensional approach to visualising and analysing patent portfolios
Edwin Horlings
Presentation PowerPoint Slides

The Flow of Ideas from the Non-Patent Literature to the Patent Literature
Jevin  West

Common misconceptions of interpreting patent data and what they actually mean 
Peter Evans, Rich Corken and Christopher Harrison
Presentation PowerPoint Slides     

IMPACTS OF COLLABORATION IN S,T & I

Community Detection in a Large Collaboration Network of Nanotechnology Researchers
Scott Cunningham and Jan Kwakkel
Presentation PowerPoint Slides

Recommending potential research collaborations based on science map using link prediction 
Xiaomei Wang, Tao Han and Ting Chen

A preliminary analysis of Knowledge transfer: the case of structural composite material in aeronautics.               
Johannes Van Der Pol, Jean-Paul Rameshkoumar, David Virapin and Bernard Zozime
Presentation PowerPoint Slides

5-MINUTE POWER TALK PRESENTATIONS 

Strategic Analysis of Main Research Fronts in Waste Recycling Science: Evolution from 2002 to 2012
Gaizka Garechana, Rosa Rio-Belver, Ernesto Cilleruelo-Carrasco and Jaso Larruscain-Sarasola

Comparing Trends of World’s Most Cited Scientific Studies with Turkish Scientific Nanotechnology Study using the Technology Mining Concept
Serhat Burmaoglu and Akif Tabak
Presentation PowerPoint Slides

A Scientometric Analysis of Knowledge Output Performance of NSFC Supported Projects: A Case Study of Oceanography
Jianxia Ma

Research on  Commercial Potential Evaluation of Emerging Technology 
Ying Huang, Ying Guo, Alan Porter, Xiao Zhou and Donghua Zhu
Presentation PowerPoint Slides

The Tech-Mining: A Key Capability to Support Growth
Khairul Ridzwan Ibrahim and Mohd. Mazran Md Saari-Ibrahim
Presentation PowerPoint Slides

Measuring invention cooperation using patent information in Colombia
Marcela Galvis Restrepo and Carolina Rivera Torres
Presentation PowerPoint Slides

Assessing Patented Technologies within the Brazilian “Green” Patent Applications Program 2012-2014
Douglas Alves Santos, Fernando Palop, Angela Mochado, Patricia Reis

NOVEL DATA

Identifying Social Media Content as a High Potential Indicator  for Measuring Innovation
Arash Hajikhani

Indicators for the emergence of potentially disruptive technologies by opinion mining in social scientific networks
Gillian Strong

Funding Data: Collection, Coding, and Caveats. Cancer Research Funding in the UK
Nicola Grassano, Michael Hopkins and Daniele Rotolo

Identifying the Technology Profiles of R&D Performing Firms – A Matching of R&D and Patent Data
Peter Neuhäusler, Rainer Frietsch, Carolin Michels and Verena Eckl
Presentation PowerPoint Slides    

EVALUATING THE EVOLUTION OF S & T

Integrated Methodology for Finding Emerging Technologies Using Roadmaps, Patents and Publications
Geet Lahoti, Alan L. Porter, Jan Youtie, Ben Wang, Chuck Zhang and Diana M. Hicks
Presentation PowerPoint Slides

Analyzing systemic evolution of technologies by combining tech mining and semantic TRIZ
Jose M. Vicente-Gomila,  Miguel Angel Artacho and Ting Ting Ma

Aiding by Text Mining Approach to Gauge Innovation Pathways for two Solid Lipid Nanoparticles (SLNs) Applications.
Xiao Zhou, Alan L. Porter and Donghua Zhu

Analysing funding patterns and their evolution for two medical research topics 
Blanca De-Miguel-Molina, Fernando Palop and Scott W Cunningham
Presentation PowerPoint Slides

SPECIAL WORKSHOP: Patent Mapping

NOVEL METHODS 

Peaks, Slopes, Canyons, Plateaus: Identifying Technology Trends throughout the Life Cycle
Irina Efimenko, Vladimir Khoroshevsky and Oleg Ena
Presentation PowerPoint Slides

Exploring Potential Patent Portfolios: An Integrated Approach Based on Topic Identification and Correlation Analysis 
Xian Zhang, Hai-Yun Xu and Shu Fang
Presentation PowerPoint Slides

Future of Sustainable Military Operations under Emerging Energy and Security Considerations
Ozcan Saritas and Serhat Burmaoglu
Presentation PowerPoint Slides

POSTER SESSION AND RECEPTION

Strategic Analysis of Main Research Fronts in Waste Recycling Science: Evolution from 2002 to 2012 
Gaizka Garechana, Rosa Rio-Belver, Ernesto Cilleruelo-Carrasco and Jaso Larruscain-Sarasola

The Tech-Mining: A Key Capability to Support Growth
Khairul Ridzwan Ibrahim and Mohd. Mazran Md Saari-Ibrahim

A Scientometric Analysis of Knowledge Output Performance of NSFC Supported Projects: A Case Study of Oceanography
Jianxia Ma

Comparing Trends of World’s Most Cited Scientific Studies with Turkish Scientific Nanotechnology Study using the Technology Mining Concept
Serhat Burmaoglu and Akif Tabak

Measuring invention cooperation using patent information in Colombia
Marcela Galvis Restrepo and Carolina Rivera Torres

Research on  Commercial Potential Evaluation of Emerging Technology 
Ying Huang, Ying Guo, Alan Porter, Xiao Zhou and Donghua Zhu

An Empirical Study on the Patent Early Warning Service System Using Patent Map
Fan Yang, Ying Guo and Junfang Guo, Alan Porter, Xiao Zhou

Exploring the Interdependencies of Research Funders in the UK
Daniele Rotolo , Michael Hopkins and Nicola Grassano

Mapping HRM Research: A Bibliometric Analysis of the HRM Field
Maria Markoulli, Colin Lee, and Will Felps

Corporate address thesaurus building using text clustering
Nick Kemp

Improving automatic patent classification system with language processing approach: Case of fuel cell vehicle
Samira Ranaei, Matti Karvonen, Arho Suominen, and Tuomo Kassi

Thematic change and technological progress – a mapping approach
Victoria Kayser

Technology Trends for Low-Density Polyethylene (LDPE) 
Khairul Ridzwan Ibrahim and Mohd. Mazran Md Saari-Ibrahim

Scientific Collaboration of Turkey with the EU Member States:  The Case of Nanotechnology
Zeynep Kaplan

Normalized cross-disciplinary article impact evaluation
Levente Varga, Ferenc Járai-Szabó, Dávid Deritei, Zsolt I. Lázár, István Papp, Mária Ercsey-Ravasz and Răzvan Valentin Florian

Defining Lines of Research and Curricula Via Correlation and Factorial Analysis Techniques
Ana Maria Luque Clavijo and Fernando Palop Marro

Bibliometrics in Academic Libraries as an emergent trend: Experiences in South America 
Fernando Palop, Elisabeth A. Dudziak, Sibele Fausto, Alba N. Alzate-Tabares, Diana P. Arboleda-Carmona, Paola A. Restrepo-Mazo, Diana C. Martínez-Santos, César Acevedo-Argüello and Martha Cervantes-Diaz

Structural analysis of European renewable energy R&D Network from 2000 to 2013 
Jaso Larruscain-Sarasola, Rosa Río-Belver, Ernesto Cilleruelo-Carrasco and Gaizka Garechana

International Collaboration Patterns and Effecting Factors of Emerging Technologies

With the globalization of the world economy, international innovation collaboration has taken place all over the world. This study selects three emerging technologies (3D printing, big data and carbon nanotubes and graphene technology) among 20 countries as the research objects, using three patent-based indicators and network relationship analysis to reflect international collaboration patterns. Then we integrate empirical analyses to show effecting factors of international collaboration degrees by using panel data. The results indicate that while 3D printing technology is associated with a “balanced collaboration” mode, big data technology is more accurately described by a radial pattern, centered on the United States, and carbon nanotubes and graphene technology exhibits “small-world” characteristics in this respect. It also shows that the factors GDP per capita (GPC), R&D expenditure (RDE) and the export of global trade value (ETV) negatively affect the level of international collaboration. It could be useful for China and other developing countries to make international scientific and technological collaboration strategies and policies in the future.

For FULL-TEXT go to http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0167772#sec020

Author(s): Xu Bai, Yun Liu
Organization(s): Beijing Institute of Technology
Source: PLoS ONE
Year: 2016