The sustainable development of the new energy industry is crucial and needs support from
collaborative innovation networks (CINs). However, CINs may face hindrances or …

The growing developments in general semantic networks, knowledge graphs and ontology
databases have motivated us to build a large-scale comprehensive semantic network of …

This paper describes an efficiently scaleable approach to measuring technological similarity
between patents by combining embedding techniques from natural language processing …

The aim of this study is to investigate technological diversity in the knowledge search and
the knowledge output stages of the green inventive process. Exploiting a large sample of …

Data-driven conceptual design methods and tools aim to inspire human ideation for new
design concepts by providing external inspirational stimuli. In prior studies, the stimuli have …

Artificial intelligence (AI) is spreading rapidly in many technology areas, and AI inventions
may help climate change mitigation and adaptation. Previous studies of climate-related AI …

There are growing efforts to mine public and common-sense semantic network databases
for engineering design ideation stimuli. However, there is still a lack of design ideation aids …

We investigate in the context of crowdsourcing how seekers can increase open innovation
performance, measured as received solver attention, by making two strategic decisions …

In traditional industries, such as the automotive industry, incumbents must draw on big data
and artificial intelligence (AI) technologies by designing AI-embedded systems integrated …

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 …