Category Archives: Research Examples

An approach to identify emergent topics of technological convergence: A case study for 3D printing

Research Examples, Research Type, ST&I indicators

Technological Convergence (TC) reflects developmental processes that overlap different technological fields. It holds promise to yield outcomes that exceed the sum of its subparts. Measuring emergence for a TC environment can inform innovation management. This paper suggests a novel approach to identify Emergent Topics (ETopics) of the TC environment within a target technology domain using patent information. A non-TC environment is constructed as a comparison group. First, TC is operationalized as a co-classification of a given patent into multiple 4-digit IPC codes (≥2-IPC). We take a set of patents and parse those into three sub-datasets based on the number of IPC codes assigned 1-IPC (Non-TC), 2-IPC and ≥3-IPC. Second, a method is applied to identify emergent terms (ETs) and calculate emergence score for each term in each sub-dataset. Finally, we cluster those ETs using Principal Components Analysis (PCA) to generate a factor map with ETopics. A convergent domain – 3D printing – is selected to present the illustrative results. Results affirm that for 3D printing, emergent topics in TC patents are distinctly different from those in non-TC patents. The number of ETs in the TC environment is increasing annually.

https://doi.org/10.1016/j.techfore.2018.12.015

Author(s): Zhinan Wang, Alan L.Porter, Xuefeng Wang, Stephen Carley
Organization(s): Beijing Institute of Technology, Georgia Institute of Technology
Source: Technological Forecasting and Social Change
Year: 2019

UNIVERSITY-INDUSTRY COOPERATION NETWORK IN ACADEMIC AND TECHNOLOGICAL PRODUCTIVITY (full-text)

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

Knowing the gear of the triple-helix is fundamental to analyze the impact of public policies in the scenario of a country, especially when the variables linked to innovation refer to the chronological production of the facts. In this perspective, an analysis was assembled from intentional samples per regions of Brazil linked to the engineering areas, identifying indices that could demonstrate this evolutionary line, highlighting mainly in their numbers, the quantitative of patents of engineering deposited with and without the relation university-enterprise partnership (EU), with state mapping of the federation, public and private investments in P&D, patents with their respective classifications and scientific production of Engineering indexed to Scopus .It was concluded that from the years of 2005 with the Innovation Law there was a boost in these indices making It possible to understand that the numbers of articles began to scale a greater use for the production of patents, with emphasis on the South and Southeast universities of the country, although It is still a number that needs greater expressiveness for the country’s future.

http://www.revistageintec.net/index.php/revista/article/view/1331

Author(s): Carlos Tadeu Santana Tatum, Flávio Ferreira da Conceição Franceschi, Letícia-Maria Macedo Tatum, Jonas Pedro Fabris, Suzana Leitão Russo
Organization(s): Federal University of Sergipe
Source: Revista GEINTEC
Year: 2019

Characterization of strategic emerging technologies: the case of big data

Research Examples, Research Type, ST&I indicators

Current enterprises face organizational and cultural barriers to adopt and harness the potential of strategic emerging technologies. Late adoption of these technologies will affect competitiveness from which it will be hard to recover. Within the frame of technology analysis field, the present work aims at introducing an approach to obtain the characterization of emerging technologies, which facilitates understanding and identifies their potential. This characterization is based on the analysis of scientific activity, to which a set of quantitative methods is applied, namely bibliometrics, text mining, principal component analysis and time series analysis. The outcome is based on obtaining a set of dominant sub-technologies, which are described by means of individual time series, which also allow evolution of the technology as a whole to be forecasted. The approach is applied to the Big Data technology field and the results suggest that sub-technologies such as Mobile Telecommunications and Internet of things will lead this field in the near future.

https://doi.org/10.1007/s10100-018-0597-9

Author(s): Iñaki Bildosola, Gaizka Garechana Enara Zarrabeitia, Ernesto Cilleruelo
Organizations(s): University of the Basque Country (UPV/EHU)
Source: Central European Journal of Operations Research
Year: 2018

Trends on rapid detection technology of food microorganisms based on web of science database (full-text)

Research Examples, Research profiling, Research Type

Rapid detection technology of food microorganisms is more and more a hot research topic in the field of agricultural, food safety and environmental sciences. In order to understand the current status of world-wide research on rapid detection technology of food microorganisms, research literature during the period of 1925-2018 was retrieved from the Science Citation Index Expanded (SCIE) database and analyzed using bibliometrics. Results showed that rapid microbial detection has entered the rapid growth phase after its forming phase and the initial phase. America enjoys absolute advantages in this field. China, Germany and Spain are also countries with relatively strong competitiveness. CSIC has the largest number of relevant published papers, while the papers from CNRS and INRA are the most influential ones. International Journal of Food Microbiology is the core journal that published the largest number of relevant papers, while Biosensors & Bioelectronics is the most influential relevant journal. Food Science and Technology is the subject of the most importance in this field. Biotechnology & Applied Microbiology and Microbiology are also significantly relevant. Researches in this field focus the most on relevant technologies on Molecular Biology, second on the technologies on Immune method and biosensors rank second, and the least on the technologies on metabolic methods. Sustainability has been seen in a part of the hot research topics, and new hot topics have also emerged. These results provide important insights to the development of rapid detection technology of food microorganisms in our country.

For full-text https://iopscience.iop.org/article/10.1088/1757-899X/439/3/032125/pdf

Author(s): Xiaojing Zhang, L Y Zhou, H G Zheng
Organization(s): Beijing Academy of Agriculture and Forestry Sciences
Source: IOP Conference Series: Materials Science and Engineering
Year: 2018

Mapping the Brazilian microscopy landscape: A bibliometric and network analysis

Network analysis, Research Examples, Research Type, ST&I policy

Understanding how a technology is introduced and shared in a society has a strategic value for the planning of technological development and assessing new market opportunities. Among other technologies, microscopy has had a significant role in advancing different fields of science. In Brazil, its use spans from biomedical to engineering areas. Here, we used social network analysis (SNA) to map and quantify the flow of interaction between Brazilian researchers involved in microscopy techniques. The analysis examines co-occurrence of thematic networks and scientific co-authorship in articles published in a ten years window, as retrieved from Scopus database. The results showed an increasing volume of publications using microscopy in Brazil. The two major areas of interest are material and life sciences, which present significant intra-regional interaction. USA, Spain, Germany, Portugal and the United Kingdom are the main partner countries for international scientific collaborations. The share of Brazilian publications applying microscopy follows the global trends, with a slight predominance in health and life sciences. Our results provide a context of the strengths and gaps of the field in Brazil and may help to inform researchers and policy makers for further advancing the field.

https://doi.org/10.1016/j.micron.2018.10.005

Author(s): Priscila C. Albuquerque, Brunade Paula Fonseca e Fonseca, Wendell Girard-Dias, Fabio Zicker, Wanderley de Souza, Kildare Miranda
Organization(s): Fundação Oswaldo Cruz, Universidade Federal do Rio de Janeiro
Source: Micron
Year: 2018

How is Data Science Involved in Policy Analysis?: A Bibliometric Perspective

Research Examples, ST&I indicators

What are the implications of big data in terms of big impacts? Our research focuses on the question, “How are data analytics involved in policy analysis to create complementary values?” We address this from the perspective of bibliometrics. We initially investigate a set of articles published in Nature and Science, seeking cutting-edge knowledge to sharpen research hypotheses on what data science offers policy analysis. Based on a set of bibliometric models (e.g., topic analysis, scientific evolutionary pathways, and social network analysis), we follow up with studies addressing two aspects: (1) we examine the engagement of data science (including statistical, econometric, and computing approaches) in current policy analyses by analyzing articles published in top-level journals in the areas of political science and public administration; and (2) we examine the development of policy analysis-oriented data analytic models in top-level journals associated with computer science (including both artificial intelligence and information systems). Observations indicate that data science contribution to policy analysis is still an emerging area. Data scientists are moving further than policy analysts, due to technical difficulties in exploiting data analytic models. Integrating artificial intelligence with econometrics is identified as a particularly promising direction.

https://ieeexplore.ieee.org/abstract/document/8481979

Author(s): Yi Zhang, Alan L. Porter, Scott Cunningham, Denise Chiavetta, Nils Newman
Organization(s): University of Technology, Georgia Institute of Technology, Delft University of Technology
Source: 2018 Portland International Conference on Management of Engineering and Technology (PICMET)
Year: 2018

A Link Prediction-Based Method for Identifying Potential Cooperation Partners: A Case Study on Four Journals of Informetrics

Network analysis, Research Examples, Research Type, ST&I indicators

Global academic exchange and cooperation have become an increasing trend in both academia and industry, but how to quickly and effectively identify potential partners is becoming an urgent problem. This paper proposes a link prediction-based model to help researchers identify partners from a large collection of academic articles in a given technological area. We initially construct a co-authorship network, and take a series of indices based on network and similarity of researchers into consideration. A fitting model of link prediction is then established, in which logistic regression analysis is involved. An empirical study on four journals of informetrics is conducted to demonstrate the reliability of the proposed method.

https://ieeexplore.ieee.org/document/8481974

Author(s): Lu Huang, Yihe Zhu, Yi Zhang, Xiao Zhou, Xiang Jia
Organization(s): Beijing Institute of Technology
Source: 2018 Portland International Conference on Management of Engineering and Technology (PICMET)
Year: 2018

RESOURCES AND CAPABILITIES, THE INVESTIGATION OF THEIR RELATIONS: A BIBLIOMETRIC ANALYSIS

Research Examples, Research profiling

The objective of this article is to record the trends of study regarding the relationships between resources and capabilities, according to the Resourced Based View of the Firm. This document presents a review of the literature in its definitions and typologies from 1984 to 2016, followed by a bibliometric analysis of the investigations that evaluate relationships between resources and capabilities in themselves, during the period 2001-2016. For this analysis, we used records of the Web of Science, and subsequently processed them using VantagePoint®. The bibliometric analysis includes 5 indicators: annual productivity, productivity by countries, most influential authors, most productive magazines and most cited articles. A general low productivity was identified, being 2010 the year with the largest number of articles written and published. United States is the country with the highest academic activity related to the topic. The most cited articles were published in 2003 and the most productive authors have 3 publications each. Thus, important academic gaps are evident in this topic. Likewise, in the literature, no bibliometric reviews were found about the impact that certain resources can have on the development of entrepreneurial capabilities, which is why study paths related to this particular topic are suggested.

https://econpapers.repec.org/paper/halwpaper/hal-01744010.htm

Author(s): Mileidy Alvarez-Melgarejo, Martha Torres-Barreto
Organization(s): Universidad de Investigación y Desarrollo, Universidad Industrial de Santander
Source: EconPapers
Year: 2018

Analysis of publications in ISI and Scopus about Energy Policies in Wind Energy (full-text)

Research Examples, Research profiling

The energy planning of the countries has taken relevance for the governments, they must guarantee a stable supply avoiding the emissions of greenhouse gases. Therefore, the development of public policies that allow investment in clean energy has become a topic of discussion among the scientific community. To contribute to the analysis of this issue, this paper shows the status of WoS and Scopus publications on energy and wind power policies. A bibliometric analysis is carried out with 121 WoS documents and 225 Scopus documents between 1992 and 2017. The number of publications, journals, issues and authors with the greatest impact are analyzed and it conclude that policy issues are divided between acceptance public of technology and penetration costs.

For full-text http://www.ripublication.com/ijaer18/ijaerv13n17_31.pdf

Author(s): Natalia M. Acevedo-Prins, Luis M. Jiménez-Gómez, Miguel D. Rojas-Lopez
Organization(s): Instituto Tecnológico Metropolitano, Universidad Nacional de Colombia
Source: International Journal of Applied Engineering Research
Year: 2018

Laser Additive Manufacturing: A Patent Overview

Research Examples, Research profiling

Additive manufacturing technologies have the potential to change the paradigm of manufacturing. In this scenario, the main objective of this research work is to gain, through a patent study, an overall view of the trends of laser-based additive manufacturing technologies. The database used in order to retrieve patent information is Patseer and the data have been analyzed through the text mining and analytics package called VantagePoint. From the data obtained it can be concluded that, Laser-based additive manufacturing is an emerging technology with huge market potential. Undoubtedly, China is the prime mover of basic research in this technology development. However, Germany and the United States are the ones who are developing the market applications.

DOI
https://doi.org/10.1007/978-3-319-96005-0_23

Author(s): Enara Zarrabeitia, Iñaki Bildosola, Rosa María Río Belver, Izaskun Alvarez, Ernesto Cilleruelo-Carrasco
Organization(s): University of the Basque Country
Source: Engineering Digital Transformation. Lecture Notes in Management and Industrial Engineering. Springer, Cham
Year: 2018