A hybrid framework for creating artificial intelligence-augmented systematic literature reviews

Management Review Quarterly, Год журнала: 2025, Номер unknown

Опубликована: Апрель 29, 2025

Abstract The integration of artificial intelligence (AI), particularly generative AI (GenAI) and large language models (LLMs), into systematic literature reviews (SLRs) represents a transformative advancement in research methodologies. This paper proposes hybrid framework combining AI’s computational power with the epistemological rigor human expertise, anchored transparency, validity, reliability, comprehensiveness, reflective agency. Through three interconnected phases—design, study collection, interpretation—the employs model selection, knowledge base curation, iterative prompt engineering to enhance scalability, uncover interdisciplinary connections, ensure methodological integrity through robust oversight. It addresses key SLR challenges, including handling vast datasets, ensuring reproducibility, maintaining epistemic while leveraging advanced capabilities. Key innovations include cyclical validation, inter-model comparisons, sensitivity testing trustworthiness mitigate biases. aligns processes ethical standards objectives by emphasizing domain-specific LLMs, reliability metrics, standardized reporting protocols. establishes SLRs as foundation for advancing complex, landscapes, harmonizing efficiency expertise.

Язык: Английский

Codes of ethics and conduct in information systems: towards a unified framework

Management Review Quarterly, Год журнала: 2025, Номер unknown

Опубликована: Июнь 2, 2025

Язык: Английский