). 机器的觉醒: 生成式 AI 溯源, 演进与展望. (The Rise of the Machine: Generative AI Traceability, Evolution, and Future Prospects)

Article (Faculty180)

cited authors

  • Fang, Jiaming; Huiying, Yang; George, Benjamin T; Yuehuan, Ma; Lu, Liu; Lintong, Han

description

  • <p><span><span><span style="font:7pt 'Times New Roman';"> </span></span></span><strong>ABDC</strong>: NA | <strong>SJR 2025</strong>: Q2 | <strong>1-Year IF</strong>: 2.6 | <strong>5-Year IF</strong>: 2.2</p> <p><br>Since the release of GPT-1 in 2018, the rapid advancement of generative artificial intelligence (AI) has significantly impacted global corporate and organizational management practices. The study of AI-generated content (AIGC) has quickly become a focal point for scholars worldwide. Previous research on AIGC has primarily concentrated on core technological breakthroughs, integration with application scenarios, and data security, resulting in a fragmented landscape without a unified research framework. This study addresses this gap by defining the AIGC concept and analyzing 407 papers published in leading domestic and international journals. Utilizing the Latent Dirichlet Allocation (LDA) model and manual coding, the analysis identifies eight sub-themes and three overarching themes, providing a systematic review of AIGC research. The study begins by tracing the origins, foundational pillars, and driving forces behind AIGC's emergence. Subsequently, it employs the "Technology-Organization-Environment" (TOE) framework to distill a knowledge framework for the evolution of AIGC research, exploring its implications across three dimensions: technological and commercial value, management practice and theory, and negative impacts within organizational environments. The study concludes by discussing how the intersection of AIGC technology and management will influence management practices, research theories, and methodologies, offering prospective research directions and recommendations to broaden the scope of future investigations. The findings of this study contribute to clarifying the developmental trajectory of AIGC and hold significant implications for advancing research in this emerging field.</p> <p></p>

authors

publication date

  • 2024

published in

start page

  • 1

end page

  • 10

volume

  • 27