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The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
arXiv: Computers and SocietyInternationalModerate confidence1 min
What changed
Recent research syntheses and agendas highlight the transformative impact of Generative AI (GenAI), particularly post-ChatGPT, on information systems (IS) research and practice. A systematic review of 28 papers from 2023 onwards synthesizes current knowledge on GenAI's benefits and challenges, identifying critical future research directions. The analysis underscores the rapid evolution of this field and the need for structured inquiry into its adoption and implications.
Why it matters
The rapid integration of Generative AI technologies necessitates a clear understanding of both their potential advantages and inherent challenges. This research synthesizes the current state of knowledge, providing a foundational perspective for organizations to strategically navigate the adoption and development of GenAI capabilities. Identifying future research directions helps ensure that strategic decisions are informed by an evolving and robust evidence base.
What to watch
The advent of Generative AI, exemplified by ChatGPT, has significantly altered the landscape of Information Systems research and practice.
Forward consideration, not a verified fact.
Reported by arXiv: Computers and Society, International. The document itself is not reproduced here.
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