Category: ST&I indicators

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…
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…
The relation between research priorities and societal demands: The case of rice (FULL-TEXT)

To what extent is scientific research related to societal needs? To answer this crucial question systematically we need to contrast indicators of research priorities with indicators of societal needs. We focus on rice research and technology between 1983 and 2012. We combine quantitative methods that allow investigation of the relation between ‘revealed’ research priorities and…
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…
Evaluating technological emergence using text analytics: two case technologies and three approaches (FULL-TEXT)

Scientometric methods have long been used to identify technological trajectories, but we have seldom seen reproducible methods that allow for the identification of a technological emergence in a set of documents. This study evaluates the use of three different reproducible approaches for identifying the emergence of technological novelties in scientific publications. The selected approaches are…
Application of Text-Analytics in Quantitative Study of Science and Technology

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.…
Learning about learning: patterns of sharing of research knowledge among Education, Border, and Cognitive Science fields

This study explores the patterns of exchange of research knowledge among Education Research, Cognitive Science, and what we call “Border Fields.” We analyze a set of 32,121 articles from 177 selected journals, drawn from five sample years between 1994 and 2014. We profile the references that those articles cite, and the papers that cite them.…
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding

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…
An integrated solution for detecting rising technology stars in co-inventor networks

Online patent databases are powerful resources for tech mining and social network analysis and, especially, identifying rising technology stars in co-inventor networks. However, it’s difficult to detect them to meet the different needs coming from various demand sides. In this paper, we present an unsupervised solution for identifying rising stars in technological fields by mining…
What people learn about how people learn: An analysis of citation behavior and the multidisciplinary flow of knowledge

We explore the contention that the seminal US National Academies consensus report,How People Learn(HPL),played a major role in bridging the flow of knowledge from Cognitive Science to Education. Our paper yielded four important results: First, HPL is, on a number of bibliometric measures, an unusually interdisciplinary work.Focusing on the fields of particular interest here, our…