Paper Type
Short
Paper Number
1647
Description
Collaborative creation is one of the most important commercial modes for online video platforms. As content creation becomes increasingly competitive, both platforms and creators are keen to understand the impact of collaborative creation on performance. This paper takes a network perspective to explore how a creator’s positional embeddedness--or the nature of an individual's position in the collaboration network, influences their performance. We particularly examine two dimensions of positional embeddedness of a creator (or a co-creation team): (1) peripheral density, measuring the density of surrounding connections, and (2) peripheral diversity, assessing the diversity of other creators around the creator's position in the network. Utilizing large-scale collaborative creation data from Bilibili, a leading online video platform in China, we uncover the heterogeneous impact of these two dimensions on creators. Moreover, this study provides preliminary insights into the optimal positional embeddedness for creators across various career stages.
Recommended Citation
Lin, Hao; Wu, Ziyue; and Chen, Xi, "How Positional Embeddedness Affects Video Creator’s Performance in Collaboration Networks" (2024). PACIS 2024 Proceedings. 4.
https://aisel.aisnet.org/pacis2024/track17_socmedia/track17_socmedia/4
How Positional Embeddedness Affects Video Creator’s Performance in Collaboration Networks
Collaborative creation is one of the most important commercial modes for online video platforms. As content creation becomes increasingly competitive, both platforms and creators are keen to understand the impact of collaborative creation on performance. This paper takes a network perspective to explore how a creator’s positional embeddedness--or the nature of an individual's position in the collaboration network, influences their performance. We particularly examine two dimensions of positional embeddedness of a creator (or a co-creation team): (1) peripheral density, measuring the density of surrounding connections, and (2) peripheral diversity, assessing the diversity of other creators around the creator's position in the network. Utilizing large-scale collaborative creation data from Bilibili, a leading online video platform in China, we uncover the heterogeneous impact of these two dimensions on creators. Moreover, this study provides preliminary insights into the optimal positional embeddedness for creators across various career stages.
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