Category: ST&I indicators

Policy interactions with research trajectories: The case of cyber-physical convergence in manufacturing and industrials

From the early 2010s, policymakers and firms in advanced industrial economies began introducing approaches to systemically exploit manufacturing and industrial data using the notion of cyber-physical convergence. Three innovation concepts have been especially highlighted: Smart Manufacturing, the Industrial Internet and Industrie 4.0. In parallel, academics have employed these concepts in numerous ways to advance their…
A methodology for identifying breakthrough topics using structural entropy

This research uses link prediction and structural-entropy methods to predict scientific breakthrough topics. Temporal changes in the structural entropy of a knowledge network can be used to identify potential breakthrough topics. This has been done by tracking and monitoring a network’s critical transition points, also known as tipping points. The moment at which a significant…
Determination of factors driving the genome editing field in the CRISPR era using bibliometrics (full-text)

Over the past two decades, the discovery of CRISPR-Cas immune systems and the repurposing of their effector nucleases as biotechnological tools have revolutionized genome editing. The corresponding work has been captured by 90,000 authors representing 7,600 affiliations in 126 countries, who have published more than 19,000 papers spanning medicine, agriculture, and biotechnology. Here, we use…
A text mining-based approach for the evaluation of patenting trends on nanomaterials

Technological developments in nanomaterials can be tracked using patent indicators. However, the traditional International Patent Classification indicators cannot be considered conclusive, since nanotechnology is not easily defined as a field of research as well as there are different types of nanomaterials not well delineated into hierarchical codes. Therefore, text mining approaches can be used to…
The contribution of academic genealogy to construction of bibliometric indicators (FULL-TEXT in Portuguese) A contribuição da genealogia acadêmica para a construção de indicadores bibliométricos

The measurement of scientific production through bibliometrics, which allows you to assess the performance of researchers and the impacts of their productions, is a much explored object of study in Information Science. The academic genealogy, on the other hand, allows us to study the intellectual heritage that it results from the relationships between advisors and…
Combining tech mining and semantic TRIZ for technology assessment: Dye-sensitized solar cell as a case (FULL-TEXT)

In a competitive business environment, an early understanding of the dynamics of technological change is crucial to help policymakers and managers make better-informed decisions. Bibliometric analyses help in studying trends and technological evolution. Tech mining (text analyses of science and technology information resources) enhances Bibliometric analyses. However, more often than not, such analyses focus on…
The nature of rapid response to COVID-19 in Latin America: an examination of Argentina, Brazil, Chile, Colombia and Mexico (FULL-TEXT)

The coronavirus-19 (COVID-19) pandemic mobilized the international scientific community in the search for its cure and containment. The purpose of this paper is to examine the nature of the rapid response to the COVID-19 of the scientific community in selected Latin American countries (Argentina, Brazil, Chile, Colombia and Mexico) in the period running from January…
Understanding the long-term emergence of autonomous vehicles technologies

Identifying emerging technologies has been of long-standing interest to many scholars and practitioners. Previous studies have introduced methods to capture the concept of emergence from bibliographic records, including the recently proposed Technology Emergence Indicator (Carley et al. 2018). This indicator method has shown to be applicable to various technological fields. However, the indicator uses a…
Corporate Engagement with Nanotechnology through Research Publications (FULL-TEXT)

Assessing corporate engagement with an emerging technology is essential for understanding the development of research and innovation systems. Corporate publishing is used as a system-level knowledge transfer indicator, but prior literature suggests that publishing can run counter to private sector needs for management of dissemination to ensure appropriability of research benefits. We examine the extent of corporate…
Tracking developments in artificial intelligence research: constructing and applying a new search strategy (FULL-TEXT)

Artificial intelligence, as an emerging and multidisciplinary domain of research and innovation, has attracted growing attention in recent years. Delineating the domain composition of artificial intelligence is central to profiling and tracking its development and trajectories. This paper puts forward a bibliometric definition for artificial intelligence which can be readily applied, including by researchers, managers,…