تحول مدیریت دانش با هوش مصنوعی: سنتز الزامات، چالش‌ها و فناوری‌های هوش مصنوعی در مدیرت دانش

نوع مقاله : مقاله پژوهشی با اصالت

نویسندگان

1 دانشجوی کارشناسی ارشد مدیریت آموزشی، دانشکده ادبیات و علوم انسانی، دانشگاه ملایر، ملایر، ایران، Hadise.soofi@stu.malayeru.ac.ir

2 دانشیار، گروه علوم تربیتی، دانشکده ادبیات و علوم انسانی، دانشگاه ملایر، ملایر، ایران، Khakpour@malayeru.ac.ir

3 استادیار، گروه علوم تربیتی، دانشکده ادبیات و علوم انسانی، دانشگاه ملایر، ملایر، ایران، S.gharloghi@malayeru.ac.ir

10.47176/SMOK.2026.1987

چکیده

هدف: ادغام هوش مصنوعی و مدیریت دانش به ضرورتی راهبردی در اقتصاد دیجیتال تبدیل شده است، اما پژوهش‌های پیشین فاقد چارچوبی جامع برای تبیین تحول نظام‌مند مدیریت دانش مبتنی بر هوش مصنوعی بوده‌اند. این پژوهش با هدف ارائه یک مدل یکپارچه از عوامل مؤثر بر این تحول و روابط متقابل میان آن‌ها انجام شد.
روش پژوهش: این مطالعه کیفی با استفاده از روش فراترکیب و بر اساس الگوی هفت‌مرحله‌ای سندلوسکی و باروسو، انجام شد. جامعه پژوهش شامل آثار علمی منتشرشده در حوزه هوش مصنوعی و مدیریت دانش طی سال‌های 2010 تا 2025 بود. داده‌ها از طریق کدگذاری، طبقه‌بندی و تلفیق مضامین تحلیل شدند.
یافته‌ها: در مجموع، 371 کد اولیه در قالب 24 کد محوری و چهار بُعد اصلی شامل الزامات، موانع، مزایا و کاربردها سازمان‌دهی شدند. نتایج نشان داد که موفقیت مدیریت دانش مبتنی بر هوش مصنوعی به تعامل عوامل فناورانه، انسانی، سازمانی و فرهنگی وابسته است و الزامات زیرساختی و انسانی نقش مهمی در رفع موانع پیاده‌سازی دارند.
بحث: یافته‌ها بیانگر آن است که تحول اثربخش مدیریت دانش مستلزم همسویی قابلیت‌های فناورانه، شایستگی‌های انسانی و فرهنگ سازمانی است و چارچوبی پویا برای تبیین ارتباط میان الزامات، چالش‌ها و مزایای ناشی از هوش مصنوعی ارائه می‌کند.
نتیجه‌گیری: هوش مصنوعی، مدیریت دانش را به نظامی هوشمند و پویا تبدیل کرده است. تحقق پایدار این تحول مستلزم زیرساخت مناسب، منابع انسانی توانمند، فرهنگ سازمانی حمایتی و حکمرانی اخلاقی است و می‌تواند مزیت رقابتی مبتنی بر دانش را در اقتصاد دیجیتال تقویت کند.

چکیده تصویری

تحول مدیریت دانش با هوش مصنوعی: سنتز الزامات، چالش‌ها و فناوری‌های هوش مصنوعی در مدیرت دانش

تازه های تحقیق

  1. چارچوب یکپارچه تحول مدیریت دانش مبتنی بر هوش مصنوعی ارائه شد.
  2. الزامات، چالش‌ها، کاربردها و مزایای هوش مصنوعی یکپارچه شد.
  3. موفقیت مدیریت دانش به هم‌سویی فناوری، انسان و فرهنگ وابسته است.
  4. ۳۷۱ کد در چهار بعد اصلی مدیریت دانش هوشمند تلفیق شد.
  5. مدل پیشنهادی راهنمای استقرار مدیریت دانش هوشمند در سازمان‌هاست.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

The transformation of knowledge management with artificial intelligence: A synthesis of requirements, challenges and AI technologies in knowledge management

نویسندگان [English]

  • Hadise Soofi 1
  • Abbas Khakpour 2
  • Sajad Gharloghi 3
1 Master's degree student in educational management , Faculty of Literature and Humanities, Malayer University, Malayer, Iran, Hadise.soofi@stu.malayeru.ac.ir
2 Associate professor, Faculty of Literature and Humanities, Malayer University, Malayer, Iran, Khakpour@malayeru.ac.ir
3 Assistant professor, Faculty of Literature and Humanities, Malayer University, Malayer, Iran, s.gharloghi@malayeru.ac.ir
چکیده [English]

Purpose: The integration of Artificial Intelligence and Knowledge Management  has become a strategic necessity in the digital economy. However, previous studies have lacked a comprehensive framework for explaining the systematic transformation of  KM through AI. This study aimed to develop an integrated model of the factors influencing this transformation and their interrelationships.
Methodology: This qualitative study employed a meta-synthesis approach based on the seven-step model proposed by Sandelowski and Barroso. The research population comprised scientific publications on AI and KM published between 2010 and 2025. The data were analyzed through coding, categorization, and thematic synthesis.
Results: A total of 371 initial codes were organized into 24 core codes and four main dimensions, namely requirements, barriers, benefits, and applications. The findings indicated that the success of AI-based KM depends on the interaction of technological, human, organizational, and cultural factors, while infrastructural and human requirements play a significant role in overcoming implementation barriers.
Discussion: The findings suggest that effective KM transformation requires alignment among technological capabilities, human competencies, and organizational culture. They also provide a dynamic framework for explaining the relationships among organizational requirements, challenges, and AI-driven benefits.
Conclusion: AI has transformed KM into an intelligent and dynamic cognitive system. The sustainable implementation of this transformation requires adequate infrastructure, skilled human resources, a supportive organizational culture, and ethical governance, thereby strengthening knowledge-based competitive advantage in the digital economy.

کلیدواژه‌ها [English]

  • Knowledge management
  • Artificial Intelligence
  • Meta-synthesis Study
  • Challenges and Opportunities

Copyright ©, Hadise Soofi; Abbas Khakpour; Sajad Gharloghi

License

Published by Imam Hossein University. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode  

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