The Impact of AIGC on Organizational Knowledge Creation : From the Perspective of Adaptive Structuration Theory

Xi Zhang, Ziyue Liu, Yihang Cheng,Xuyan Wang

2023 23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW 2023(2023)

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摘要
Artificial Intelligence Generated Content (AIGC), as an emerging content generation method, possesses creative generation characteristics that inherently facilitate the knowledge creation process. However, the specific impact of AIGC technology on the knowledge creation process remains unclear. Based on the Adaptive Structuration Theory, this paper delves into how AIGC influences the process of knowledge creation within organizations, while also shedding light on the far-reaching implications of AIGC technology at both the organizational and individual levels. This study offers a fresh perspective for understanding the potential and challenges posed by AIGC technology, providing valuable insights for organizations seeking to optimize the knowledge creation processes and advance the field of career science in response to the new challenges presented by the era of generative artificial intelligence.
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关键词
Artificial Intelligence Generated Content (AIGC),Adaptive Structuration Theory (AST),Organizational Knowledge,Creation
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