The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas

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.

Key insights

• The advent of Generative AI, exemplified by ChatGPT, has significantly altered the landscape of Information Systems research and practice.
• A growing body of secondary studies and research roadmaps is emerging to consolidate early evidence and guide future investigations into GenAI.
• A systematic review of 28 papers published from 2023 onwards synthesizes existing knowledge regarding the benefits and challenges of GenAI within IS.
• The study employed bibliometric mapping and thematic analysis to analyze the selected papers and identify future research directions.
• A quality assessment was conducted on all source materials to evaluate their rigor.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2603.11842