Knowledge Resource
Research Summary: The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 7 September 2026
- Last updated
- 21 September 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
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
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- Verification ID
- ASA-EXE-2026-00164
- Version
- v1.0 · r0
- Issued
- 7 September 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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