Multi-Self Presentation and Knowledge Contribution in Platform Operations: Evidence from a Natural Experiment
Prof. Yingpeng ZHU
Assistant Professor in
Business Intelligence and Analytics
FBA, UM
Date: 15 October 2024 (Tuesday)
Time: 13:00 to 14:00
Venue: FBA Lobby
Abstract
We examine a novel design deployed by user-generated content (UGC) platforms to address underprovision, an important issue encountered by managers in platform operations. This design involves the implementation of an additional supplementary free-form content tool that allows users to share diverse content types and thus build additional selves apart from the standard one on the platform. Leveraging a quasi-experiment on a large Chinese online knowledge-sharing platform, we assess the effects of introducing a supplementary free-form content tool on users’ formal knowledge activity (i.e., writing answers to others’ questions) on the platform in a difference-in-differences framework. We find that if users adopted and more frequently used the tool to post content, they also showed a stronger incentive to contribute answers without compromising the quality of each answer. Further analyses suggest that such a complementary effect might be because of two mechanisms related to the new content tool’s multi-self presentation function: First, the new tool increased adopters’ engagement on the platform and led them to consume more knowledge content, which in turn facilitated knowledge contribution; Second, adopters attracted the attention of a larger audience by building a more complete self with the new tool. We also find the complementary effect to be more pronounced for adopters who posted a more balanced composition of serious and casual content using the new tool. Our results have novel implications for platform design and operations to motivate users to contribute valuable content.
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