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[Purpose] This study explores user knowledge collaboration in open innovation communities, focusing on how interaction characteristics influence knowledge innovation through knowledge exchange. Based on social capital and knowledge creation theories, we analyze user interactions that facilitate knowledge flow and innovation. [Methods] Using Python-based natural language processing, we process 170,000 user interactions from the Huawei Pollen Club. A knowledge synergy model is built, transforming interaction features and knowledge exchange behaviors into measurable indicators. Stepwise regression and mediation analysis are applied. [Results] (1) Network centrality, structural holes, and relationship redundancy impact knowledge exchange and innovation. (2) Relationship redundancy follows an inverted U-shape, where moderate redundancy enhances knowledge creation, but excessive redundancy hinders it. [Innovations] (1) A user knowledge collaboration model is proposed. (2) NLP techniques enable large-scale knowledge extraction and provide strategic insights for managing innovation communities.

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User Interaction, Knowledge Exchange, and Knowledge Innovation: An Empirical Examination of User Knowledge Collaboration Based on Huawei’s Open Innovation Community

  • 会议论文

  • 发表日期：

    2025年

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  • Yueyan Zhao,
  • Feng Yang,
  • Yuexin Cheng,
  • YunYue Ren

摘要

[Purpose] This study explores user knowledge collaboration in open innovation communities, focusing on how interaction characteristics influence knowledge innovation through knowledge exchange. Based on social capital and knowledge creation theories, we analyze user interactions that facilitate knowledge flow and innovation. [Methods] Using Python-based natural language processing, we process 170,000 user interactions from the Huawei Pollen Club. A knowledge synergy model is built, transforming interaction features and knowledge exchange behaviors into measurable indicators. Stepwise regression and mediation analysis are applied. [Results] (1) Network centrality, structural holes, and relationship redundancy impact knowledge exchange and innovation. (2) Relationship redundancy follows an inverted U-shape, where moderate redundancy enhances knowledge creation, but excessive redundancy hinders it. [Innovations] (1) A user knowledge collaboration model is proposed. (2) NLP techniques enable large-scale knowledge extraction and provide strategic insights for managing innovation communities.