This paper systematically reviews the current typical innovation paradigms worldwide and
their shortcomings. Based on eastern wisdom and best innovation practices, this paper …

The importance of data science and big data analytics is growing very fast as organizations
are gearing up to leverage their information assets to gain competitive advantage. The …

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 …

Unstructured data in the form of digitized text is rapidly increasing in volume, accessibility,
and relevance for research on innovation and beyond. While traditional attempts to analyze …

This study develops a new analysis method, the latent Dirichlet allocation topic model, and
uses it to perform technology assessment and roadmap** analysis of the blockchain field …

Forecasting promising technology is a relevant opportunity for management of companies
and countries. Furthermore, researchers in research and development (R&D) have recently …

Technology convergence is extremely important for creating novel value and introducing
new products and services. Recently, a fluctuating and competitive environment has …

In this study, we propose a graph convolution network (GCN)-based patent-link prediction to
predict technology convergence. We address the limitations of previous works, which …

To explore future opportunities for artificial intelligence (AI) in achieving carbon neutrality
goals, this study introduces a forecasting framework that combines link prediction and …