Category Archives: Research Examples

Overlapping Community Discovery for Identifying Key Research Themes

Identifying key research themes is an effective way to chart knowledge structures in a field of research and, in turn, stimulate new ideas and innovation. Most thematic analyses of a research field are based on some form of network analysis, e.g., citations and cowords, and most of these networks are made up of cohesive, highly overlapping groups of nodes. Based on the suggestion that the “universal features” of networks are to be found in these overlapping communities, we argue that these same communities in a keyword network should reveal the key research themes in a field of study. With no traditional method with which to test our theory, we combined a cluster percolation algorithm with a Word2Vec model, and in a case study on information science, we were not only able to detect the overlapping communities in a keyword similarity network, but we also found a new perspective on the importance of overlapping communities as a way to identify a field’s key research themes.

Author(s): Lu Huang, Fangyan Liu, Yi Zhang
Organization(s): Beijing Institute of Technology, University of Technology Sydney
Source: IEEE Transactions on Engineering Management
Year: 2020

A Multi-match Approach to the Author Uncertainty Problem (Full-Text)

The ability to identify the scholarship of individual authors is essential for performance evaluation. A number of factors hinder this endeavor. Common and similarly spelled surnames make it difficult to isolate the scholarship of individual authors indexed on large databases. Variations in name spelling of individual scholars further complicates matters. Common family names in scientific powerhouses like China make it problematic to distinguish between authors possessing ubiquitous and/or anglicized surnames (as well as the same or similar first names). The assignment of unique author identifiers provides a major step toward resolving these difficulties. We maintain, however, that in and of themselves, author identifiers are not sufficient to fully address the author uncertainty problem. In this study we build on the author identifier approach by considering commonalities in fielded data between authors containing the same surname and first initial of their first name. We illustrate our approach using three case studies.

For FULL-TEXT see 

Author(s): Stephen F. Carley, Alan L. Porter, Jan L. Youtie
Organization(s): Georgia Institute of Technology
Source: Journal of Data and Information Science
Year: 2019 (online. 2017 print)

Tech mining to validate and refine a technology roadmap

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.

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

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.

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

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.

For source 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, University of Technology Sydney, China University of Political Science and Law
Source: IEEE Transactions on Engineering Management
Year: 2020

Robotic Bureaucracy and Administrative Burden: What Are the Effects of Universities’ Computer Automated Research Grants Management Systems?

Our paper seeks to understand effects of computerized approaches to university research grants and contracts management, especially impacts on administrative burden. Ours is a multi-method paper, including interviews with academic researchers but focuses chiefly on participant-observer research, using hundreds of our own emails from two projects located at two different universities. We find that robotic emails have complex effects and that their utility pertains to researchers’ familiarity with the systems and compliance requirements, the clarity of administrative requests, the extent and location of staff support, and the interaction of personal work habits with system requirements. We provide suggestions for improving automated research administration.

Author(s): Barry Bozeman, Jan Youtie, Jiwon Jung
Organization(s): Arizona State University, Georgia Institute of Technology
Source: Research Policy
Year: 2020

Foresight through Strategic Technology Intelligence for Collaboration and Innovation Pathways (FULL-TEXT)

Formulating a strategic direction for long-term growth is critical to address the challenges of technological competitiveness in the globalisation era. This article presents a case study of the technology of shelf life extension for agricultural foods. We propose strategic technology intelligence (STI) as an approach that combines quantitative tools with a qualitative technique using technological experts to judge and strengthen the findings. Cases from the patents database were extracted for analysis using the text mining software. The results illustrate that this particular technology has potential for growth and related research has been increasing. In addition, collaboration among researchers and organisations is essential to foster the speed of R&D and boost knowledge exchange. The findings can be useful for policymakers, managers, and researchers as a decision-making tool for further implementation and execution.


Author(s): Jakkrit Thavorn, Nongnuj Muangsin, Chupun Gowanit, Veera Muangsin
Organization: Chulalongkorn University
Source: Proceedings: 2020 ISPIM Connects Bangkok – Partnering for an Innovative Community
Year: 2020

Technological Convergence: The Analysis of Emergent Topics on Chitosan (FULL-TEXT)

This research identifies emergent topical trends of chitosan technology and its applications and constructs technological directions for business strategy in a hyper-competitive environment. A total of 2,612 scientific papers on chitosan technology published between 2010 and 2019 was retrieved from Web of Science (WoS) using various search queries. Results from ibliometric predictive intelligence (BPI) modelling highlight four major emergent topics related to technology convergence, namely shelf life, regenerative medicine, therapeutic agents, and antioxidant capacities. Four potential industries for chitosan application were identified: healthcare; cosmetics; agriculture; and food and beverages. The findings reveal a 75% increase in research publications since 2016 compared with previous years, which in turn illustrates the potential of technological goals to stimulate socially responsible research in the future.


Author(s): Worasak Klongthong, Nongnuj Muangsin, Chupun Gowanit, Veera Muangsin
Organization: Chulalongkorn University
Source: Proceedings: 2020 ISPIM Connects Bangkok – Partnering for an Innovative Community
Year: 2020

Study on Worldwide Development and Trends of Quantum Technologies Based on Patent Data (FULL-TEXT)

Quantum technologies attracted much attention for their disruptive potential in last two decades. The article analyzes the worldwide patent landscape for quantum technologies based on data extracted from Derwent Innovation and Web of Science. The quantum technologies were grouped
into three distinct technology areas of quantum computing, quantum communication and quantum sensing, to demonstrate detailed development and trends respectively. It shows that quantum technology is a highly competitive research field, and United States, China and Japan are the most prominent countries, in particular China made a great progress in recent years. United States has a significant advantage in the field of quantum computing, which is the most promising field, meanwhile China has a significant advantage in the field of quantum communication and succeeds in launching a quantum satellite.


Author(s): Juan Zhang, Qianfei Tian, Chuan Tang, Lina Wang, Jing Xu, and Junmin Fang
Organization(s): Chengdu Library and Information Center
Source: International Journal of Information and Education Technology
Year: 2020

Fuel-Cell Electric Vehicles: Plotting a Scientific and Technological Knowledge Map (FULL-TEXT)

The fuel-cell electric vehicle (FCEV) has been defined as a promising way to avoid road transport greenhouse emissions, but nowadays, they are not commercially available. However, few studies have attempted to monitor the global scientific research and technological profile of FCEVs. For this reason, scientific research and technological development in the field of FCEV from 1999 to 2019 have been researched using bibliometric and patent data analysis, including network analysis. Based on reports, the current status indicates that FCEV research topics have reached maturity. In
addition, the analysis reveals other important findings: (1) The USA is the most productive in science and patent jurisdiction; (2) both Chinese universities and their authors are the most productive in science; however, technological development is led by Japanese car manufacturers; (3) in scientific research, collaboration is located within the tri-polar world (North America–Europe–Asia-Pacific); nonetheless, technological development is isolated to collaborations between companies of the same
automotive group; (4) science is currently directing its efforts towards hydrogen production and storage, energy management systems related to battery and hydrogen energy, Life Cycle Assessment, and greenhouse gas (GHG) emissions. The technological development focuses on technologies related to electrically propelled vehicles; (5) the International Journal of Hydrogen Energy and SAE Technical Papers are the two most important sources of knowledge diffusion. This study concludes by outlining the knowledge map and directions for further research. for FULL-TEXT

Author(s): Izaskun Alvarez-Meaza, Enara Zarrabeitia-Bilbao, Rosa Maria Rio-Belver, and Gaizka Garechana-Anacabe
Organization(s): University of the Basque Country
Source: Sustainability
Year: 2020