Category Archives: Uncategorized

Tech mining to validate and refine a technology roadmap

Uncategorized

This study uses ‘tech mining’ (extracting intelligence from R&D data) to validate and refine the content of a particular section of a landmark roadmap of nanotechnology for aeronautics. We utilize topical content from publications and patents to analyze the developmental status of nanocomposite coating technologies. This enables us to validate predictions made by specialists, as presented in the target technology roadmap section. Moreover, we augment that roadmap section by providing additional information on nanocomposite-related emerging technologies. This study supports use of tech mining as a means to inform technology roadmapping, both when creating a new roadmap and to check progress.

https://doi.org/10.1016/j.wpi.2018.07.003

Author(s): Geet Lahoti, Alan L. Porter, Chuck Zhang, Jan Youtie, Ben Wang
Organization(s): Georgia Institute of Technology
Source: World Patent Information
Year: 2018

National nanotechnology research prominence

Uncategorized

A new bibliometric technique enables one to distinguish high emergence topical content. This technique can be applied to sets of research publication abstracts reflecting a given technical domain (here, nanotechnology) to score cutting edge research terms. The resulting high emergence terms warrant special consideration in setting R&D priorities. The researchers (individuals, organizations, or countries) whose publications address those emergent terms heavily deserve consideration as possible leaders in that technical domain. This paper studies nanotechnology research publications using the new emergence scoring in conjunction with established bibliometric publication and citation measures. Findings challenge U.S. superiority in cutting edge nanotechnology research. China shows strongest at addressing emergent nanotechnology topics, followed by the U.S., South Korea, India, and, surprisingly, Iran.

https://doi.org/10.1080/09537325.2018.1480013

Author(s): Alan L. Porter, Jon Garner, Nils C. Newman, Stephen F. Carley, Jan Youtie, Seokbeom Kwon, Yin Li
Organization(s): Search Technology, Georgia Institute of Technology, Fudan University
Source: Technology Analysis & Strategic Management
Year: 2018

Exploring Technology Evolution Pathways to Facilitate Technology Management: From a Technology Life Cycle Perspective

Future-oriented technology analysis, Uncategorized

Technological innovation is a dynamic process that spans the life cycle of an idea, from scientific research to production. Within this process, there are often a few key innovations that significantly impact a technology’s development, and the ability to identify and trace the development of these key innovations comes with a great payoff for researchers and technology managers. In this article, we present a framework for identifying the technology’s main evolutionary pathway. What is unique about this framework is that we introduce new indicators that reflect the connectivity and the modularity in the interior citation network to distinguish between the stages of a technology’s development. We also show how information about a family of patents can be used to build a comprehensive patent citation network. Finally, we apply integrated approaches of main path analysis (MPA)—namely global MPA and global key-route main analysis—for extracting technological trajectories at different technological stages. We illustrate this approach with dye-sensitized solar cells (DSSCs), a low-cost solar cell belonging to the group of thin-film solar cells, contributing to the remarkable growth in the renewable energy industry. The results show how this approach can trace the main development trajectory of a research field and distinguish key technologies to help decision makers manage the technological stages of their innovation processes more effectively.

10.1109/TEM.2020.2966171

Author(s): Ying Huang, Fujin Zhu, Alan L. Porter, Yi Zhang, Donghua Zhu, Ying Guo
Organization(s): Wuhan University, Beijing Institute of Technology, Search Technology, University of Technology Sydney, China University of Political Science and Law
Source: IEEE Transactions on Engineering Management
Year: 2020

How to Identify Cooperation Partners based on multisource data

CTI, Strategic planning, Uncategorized

This study aims at identifying potential industry-University-research institution collaborations partners (IURC) efficaciously and analyzes the conditions and dynamics in the IURC process, based on knowledge potential and the knowledge spillover theory. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors. The method utilizes multisource data, combining bibliometric and econometrics analyses to achieve the network core of the existing collaboration network, and institution competitiveness in the innovation chain. Empirical analysis of the genetic engineering vaccine field shows that throughout the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify more complementarities between institutions. Compared to previous studies, this study emulates the real conditions of IURC. The rule of technological innovation can be better revealed, potential partners of IURC can be more easily identified, and the conclusion has a higher value in consultation. In particular, diverse informative indices can assist researchers in deriving appropriate partners for research and development cooperation.

https://doi.org/10.1145/3110025.3110142

Author(s): Haiyun Xu, Kun Dong, Ling Wei, Chao Wang, Shu Fang
Organization(s): Chengdu Documentation and Information Center, CAS; University of Chinese Academy of Sciences
Source: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Year: 2017

Application of Text-Analytics in Quantitative Study of Science and Technology

Uncategorized

The quantitative study of science, technology and innovation (ST&I ) has experienced significant growth with advancements in disciplines such as mathematics, computer science and information sciences. From the early studies utilizing the statistics method, graph theory, to citations or co-authorship, the state of the art in quantitative methods leverages natural language processing and machine learning. However, there is no unified methodological approach within the research community or a comprehensive understanding of how to exploit text-mining potentials to address ST&I research objectives. Therefore, this chapter intends to present the state of the art of text mining within the framework of ST&I. The major contribution of the chapter is twofold; first, it provides a review of the literature on how text mining extended the quantitative methods applied in ST&I and highlights major methodological challenges. Second, it discusses two hands-on detailed case studies on how to implement the text analytics routine.

https://link.springer.com/chapter/10.1007/978-3-030-02511-3_39

Author(s): Samira Ranaei, Arho Suominen, Alan Porter, Tuomo Kässi

Organization(s): Lappeenranta University of Technology (LUT), VTT Technical Research Centre of Finland

Source: Springer Handbook of Science and Technology Indicators

Year: 2019

Does deep learning help topic extraction? A kernel k-means clustering method with word embedding

Uncategorized,

Topic extraction presents challenges for the bibliometric community, and its performance still depends on human intervention and its practical areas. This paper proposes a novel kernel k-means clustering method incorporated with a word embedding model to create a solution that effectively extracts topics from bibliometric data. The experimental results of a comparison of this method with four clustering baselines (i.e., k-means, fuzzy c-mean as,principal component analysis, and topic models) on two bibliometric datasets demonstrate its effectiveness across either a relatively broad range of disciplines or a given domain. An empirical study on bibliometric topic extraction from articles published by three top-tier bibliometric journals between 2000 and 2017, supported by expert knowledge-based evaluations, provides supplemental evidence of the method’s ability on topic extraction. Additionally, this empirical analysis reveals insights into both overlapping and diverse research interests among the three journals that would benefit journal publishers, editorial boards, and research communities.

https://doi.org/10.1016/j.joi.2018.09.004

Author(s): Yi Zhang, Jie Lu, Feng Liu, Qian Liu, Alan Porter, Hongshu Chen, Guangquan Zhang
Organization(s): University of Technology Sydney, Beijing Institute of Technology, Georgia Institute of Technology
Source: Journal of Informetrics
Year: 2018

Chapter 2 – Lessons From 10 Years of Nanotechnology Bibliometric Analysis

Uncategorized

This chapter summarizes the 10-year experiences of the Program in Science, Technology, and Innovation Policy (STIP) at Georgia Institute of Technology (Georgia Tech) in support of the Center for Nanotechnology in Society at Arizona State University (CNS-ASU) in understanding, characterizing, and conveying the development of nanotechnology research and application. This work was labeled “Research and Innovation Systems Assessment” or (RISA) by CNS-ASU. CNS-ASU was designed to implement a set of methods to anticipate societal impacts (including environmental, health, and safety impacts) and lay the foundation for making changes to emerging technologies at an early stage in their development.

RISA concentrates on identifying and documenting quantifiable aspects of nanotechnology, including academic, commercial/industrial, and government nanoscience and nanotechnology (nanotechnologies) activity, research, and projects. RISA at CNS-ASU engaged in the first systematic attempt of its kind to define, characterize, and track a field of science and technology. A key element to RISA was the creation of a replicable approach to bibliometrically defining nanotechnology. Researchers in STIP, and beyond, could then query the resulting datasets to address topical areas ranging from basic country and regional concentrations of publications and patents to findings about social science literature, environmental, health, and safety research and usage, to study corporate entry into nanotechnology and to explore application areas as special interests arose. Key features of the success of the program include the following:

  • Having access to “large-scale” R&D abstract datasets
  • Analytical software
  • A portfolio that balances innovative long-term projects, such as webscraping to understand nanotechnology developments in small and medium-sized companies, with research characterizing the emergence of nanotechnology that more readily produces articles
  • Relationships with diverse networks of scholars and companies working in the nanotechnology science and social science domains
  • An influx of visiting researchers
  • A strong core of students with social science, as well as some programming background
  • A well-equipped facility and management by the principals through weekly problem-solving meetings, mini-deadlines, and the production journal articles rather than thick final reports.

https://doi.org/10.1016/B978-0-12-813588-4.00002-6

Author(s): Jan Youtie, Alan L.Porter, Philip Shapira, Nils Newman
Organization(s): Georgia Institute of Technology, Search Technology
Source: Nanotechnology Environmental Health and Safety (Third Edition)
Year: 2018

Scientific and technological contributions of Latin America and Caribbean countries to the Zika virus outbreak (Full-Text)

Uncategorized

The recent Zika virus (ZIKAV) epidemics disclosed a major public health threat and a scientific and technological (S&T) challenge. The lessons learned from the S&T response of Latin America and the Caribbean (LAC) countries are critical to inform further research and guide scientific investments. The present study aimed to assess how new S&T knowledge produced and disseminated regionally can contribute to address global health challenges. We retrieved 5421 ZIKAV-related publications, revealing a sharp increase from 2015 onwards. LAC countries accounted for 20% of all publications and Brazil was among the top three most central countries in the global network for ZIKAV research. A total of 274 patent families backed up by experimental evidence were retrieved. Only 5% were filed by LAC assignees, all of them based in Brazil. The largest contribution of LAC research was on the clinical manifestations of the ZIKAV infection, along with vector control, which was also the main focus of patents. Our analysis offered a comprehensive overview of ZIKAV’s research and development and showed that (i) LAC countries had a key role in generating and disseminating scientific knowledge on ZIKAV; (ii) LAC countries have expressively contributed to research on ZIKAV clinical manifestations; (iii) the Brazilian scientific community was potentially very effective in knowledge sharing and diffusion in the ZIKAV research network; (iv) Brazil was the single LAC country filing patents, mostly represented by independent inventors and low-tech patents. The paper advocates the need for a continued interdisciplinary approach to improve LAC countries ability to prevent, prepare for and control future outbreaks.

For Full-Text https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-019-6842-x

Author(s): Alice Machado-Silva, Camila Guindalini, Fernanda Lopes Fonseca, Marcus Vinicius Pereira-Silva, Bruna de Paula Fonseca
Organization(s): FIOCRUZ
Source: BMC Public Health
Year: 2019

Price framing literature: Past, present, and future

Uncategorized

Price framing helps businesses communicate utility and price to consumers in an attractive manner. The extant research shows that the price framing greatly impacts consumers’ choices of price. Various scholars have analysed it with varying perspectives. This review revisits and analyses each research work on price framing in the marketing domain from the time when the price framing concept was formally introduced in academic literature. The purpose of this review is to set a future research agenda for academicians and practitioners based on the gaps in the literature. This review applies a systematic review approach to achieve the objectives. It uses a funnel approach for arriving at the review time period, inclusion and exclusion criteria, and keywords of the study. This review conducts a co-word analysis using bibliometric software to categorise the major literature on price framing from 1980 to 2015 into major themes and subthemes. Twelve distinct categories of price framing research emerge after the analysis. The findings highlight how price framing was understood as a concept, discipline, and practice in the past and the present business world.

http://www.ingentaconnect.com/contentone/westburn/tmr/2017/00000017/00000003/art00004

Author(s): Avinash Tripathi; Neeraj Pandey
Organization(s): National Institute of Industrial Engineering (NITIE)
Source: The Marketing Review
Year: 2017