Abstract Technological Forecasting and Social Change (TFSC) is one of the most prominent
journals to focus on the methodologies and practices of technological forecasting and …

Large Language Models (LLMs) recently demonstrated extraordinary capability in various
natural language processing (NLP) tasks including language translation, text generation …

Technology opportunity analysis using network analysis and link prediction has attracted the
interest of both academia and industry. However, there are several unresolved issues with …

abstract Research Summary Researchers increasingly use unstructured text data to
construct quantitative variables for analysis. This goal has traditionally been achieved using …

Identifying technologies is a key element for mapping a domain and its evolution. It allows
managers and decision makers to anticipate trends for an accurate forecast and effective …

Cars and the transportation industry are undergoing a radical transformation. In the past,
cars were independent means of transportation, and motor vehicles could not communicate …

This study presents an efficient approach for utilizing text data to calculate patent-to-patent
(p2p) technological similarity and proposes a hybrid framework for leveraging the resulting …

Under the background of double carbon target and digital intelligence era, the innovation
resources and innovation environment that manufacturing enterprises rely on have shown …

As novelty is a core value in science, a reliable approach to measuring the novelty of
scientific documents is critical. Previous novelty measures however had a few limitations …

To obtain patent protection, a patent must fulfill statutory patentability requirements
examined by a patent office. Such examinations are mostly performed manually and are …