Exploring the Potential of Knowledge Graphs to Support Distant Knowledge Search for Innovation

Abstract

This research aims to investigate how and under what conditions Knowledge Graphs (KGs) can support ideation tasks in the innovation process in new product and service development. Overcoming humans' cognitive limitations of creativity and enhancing their abilities to search and acquire "distant knowledge", i.e., knowledge that exists outside individuals' immediate technological or organizational boundaries, have been long-Term topics in innovation management, motivated by their significance for more substantial innovation which shall guarantee organizations' sustainability and long-Term success. Consequently, many studies have been conducted to develop methods to tackle cognitive limitations and represent relevant knowledge more effectively to individuals. Research into the potential of KGs to support this process, however, has been limited, despite their abilities to represent and structure knowledge. Our research seeks to investigate the potential of KGs to support innovators through efficient and effective exploration of distant knowledge.