[2E4-OS-1a] OS-1 (1)

[2E4-OS-1a-03] Factors affecting user innovation interdependently

Interplay of network structure and neighbour performance in user innovation

〇Kunhao Yang¹, Itsuki Fujisaki^1,2, Kazuhiro Ueda¹ (1. The Univsersity of Tokyo, 2. Japan Society for the Promotion of Science (JSPS))

Keywords:Network Analysis, User Innovation

Previous studies showed that regular users have become an important source of innovation (called user innovation). Previous studies also suggested that two factors have significant impacts on user innovation: the social network structure of the users and neighbours’ innovation performance(neighbours mean users having interactions with the focal user). However, in these studies, the influence of the two factors were only discussed separately, and it remained unclear whether these two factors interdependently affected a focal user’s innovation. To examine the interplay between the network structure and the neighbours’ innovation performance, we harnessed data sets from “Idea Storm”, which collects data on user network and idea submission. Through panel regression analyses, we found that—within an open-network structure—the higher innovation performance of neighbours has a larger positive impact on the focal user’s innovation ability. Conversely, in an enclosed network structure, neighbours’ higher performance has a larger negative impact on the focal user’s innovation ability. Our findings filled an important gap in understanding the interplay between the network structure and the neighbours’ performance in user innovation.