Document Type : Research Paper
Author
دکتری تخصصی مدیریت دولتی، پژوهشگر آزاد، تبریز، ایران
Abstract
Purpose:
In the era of digital transformation, knowledge management is a vital organizational resource for enhancing decision-making, organizational agility, and intellectual capital. This study aims to design a localized framework for applying Generative Artificial Intelligence (GenAI) in knowledge management within Iranian government organizations.
Method:
The research is applied–developmental, conducted through a qualitative approach using the Grounded Theory method. Data were collected via semi-structured interviews with 15 experts in knowledge management, information technology, and digital transformation from governmental agencies. Data analysis followed three coding stages—open, axial, and selective—using MAXQDA software.
Findings:
The analysis identified five core categories: (1) technological infrastructure, (2) generative knowledge quality management, (3) learning organizational culture, (4) data governance and AI ethics, and (5) feedback and continuous improvement systems. These categories form the proposed conceptual framework for GenAI-based knowledge management in government organizations.
Conclusion:
The proposed framework can help policymakers redesign knowledge management systems in public sector organizations by leveraging GenAI capabilities. Implementing this framework may enhance decision-making quality, increase organizational agility, and strengthen transparency.
Keywords
- Knowledge management
- generative artificial intelligence
- government organizations
- data-driven theory
- large language models
Main Subjects
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