دانش سرمایه‌گذاری

دانش سرمایه‌گذاری

ارائه الگوی ترکیبی هوش مصنوعی و مدیریت دانش در حکمرانی شرکتی (مورد مطالعه؛ بررسی کیفی در شرکت مپنا)

نوع مقاله : مقاله پژوهشی

نویسندگان
سمیه طحان پور 1
وحید آرایی 2
علی اصغر پورعزت 3
1 دانشجوی دکتری گروه مدیریت دولتی و خط مشی گذاری عمومی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
2 گروه مدیریت دولتی و خط مشی گذاری عمومی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
3 دانشکده مدیریت دولتی و علوم سازمانی، دانشکدگان مدیریت، دانشگاه تهران، تهران، ایران
10.22034/jik.2025.78965.4868
چکیده
این پژوهش با رویکردی ترکیبی (کمی و کیفی) انجام شده است. در بخش کیفی، از روش تحلیل مضمون بهره گرفته شده و داده‌ها از طریق مطالعات کتابخانه‌ای، مطالعات میدانی، و مصاحبه‌های عمیق و نیمه‌ساختاریافته با خبرگان گردآوری گردیده‌اند. در بخش کمی، از ابزارهایی همچون پرسشنامه‌های ساخت‌یافته به‌منظور سنجش و اعتبارسنجی مدل پیشنهادی استفاده‌شده است. مدت‌زمان انجام مطالعات میدانی و طراحی، توزیع، جمع‌آوری و تحلیل داده‌های کیفی و کمی در بازه زمانی اسفند ۱۴۰۲ تا اسفند ۱۴۰۳ صورت گرفته است.بر اساس روش تحلیل مضمون، ابعاد و مؤلفه‌های مؤثر در مدیریت دانش در شرکت مپنا شامل بعد فردی، بعد سازمانی و بعد محیطی هستند. ابعاد و مؤلفه‌های مؤثر در هوش مصنوعی در شرکت مپنا شامل بعد زمینه-ای، استراتژی‌های سازمان، بعد سازمانی، بعد بازاریابی بعد ساختاری و بعد محیطی می‌باشد. نتایج نشان می‌دهد که مدیریت دانش تأثیر قابل‌توجهی بر حکمرانی شرکتی در شرکت مپنا دارد. همچنین، هوش مصنوعی با ابعاد زمینه‌ای، استراتژی‌های سازمان، ابعاد سازمانی، بازاریابی، ساختاری و محیطی نیز بر حکمرانی شرکتی در این شرکت تأثیرگذار است. حکمرانی شرکتی می‌تواند مزایای قابل‌توجهی برای یک ساختار تجاری یا گروهی به ارمغان آورد. این نوع حکمرانی فرهنگ سازمانی را قوی‌تری و شفافیت را در تمامی سطوح سازمان فراهم می‌آورد و تضمین می‌کند که همه بازیگران نقش شخصی خود را در عملیات درک می‌کنند. با این رویکرد حکمرانی شرکتی تضمین می‌کند که تمامی اطلاعات واحد تجاری به‌روز و دقیق هستند و به هیئت‌مدیره این امکان را می‌دهد تا تصمیمات استراتژیک روشن و دقیقی را بر اساس داده‌های معتبر اتخاذ کند.
کلیدواژه‌ها
حکمرانی شرکتی
شرکت مپنا
مدیریت دانش
هوش مصنوعی

عنوان مقاله English

Presenting a Hybrid Model of Artificial Intelligence and Knowledge Management in Corporate Governance A Qualitative Study (Case Study; In MAPNA Company)

نویسندگان English

Somayeh Tahanpour 1
Vahid Araei 2
Aliasghar Pourezzat 3
1 PhD student, Department of Public Administration and Public Policy, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2 Department of Public Administration and Public Policy, Central Tehran Branch, Islamic Azad University, Tehran, Iran
3 School of Public Administration and Organizational Sciences, School of Management, University of Tehran, Tehran, Iran
چکیده English

The aim of the present study is to design a comprehensive model for the combined use of knowledge management and artificial intelligence in order to improve corporate governance in MAPNA Company, which can lead to optimizing decision-making and increasing its efficiency. This study was conducted with a mixed approach (quantitative and qualitative). In the qualitative section, the content analysis method was used and data were collected through library studies, field studies, and in-depth and semi-structured interviews with experts. In the quantitative part, tools such as structured questionnaires were used to measure and validate the proposed model. The duration of field studies and the design, distribution, collection, and analysis of qualitative and quantitative data was carried out in the period from March 1402 to March 1403. Based on the content analysis method, the effective dimensions and components in knowledge management in MAPNA Company include the individual dimension, organizational dimension, and environmental dimension. The effective dimensions and components in artificial intelligence in MAPNA Company include the contextual dimension, organizational strategies, organizational dimension, marketing dimension, structural dimension, and environmental dimension. The results show that knowledge management has a significant impact on corporate governance in MAPNA Company. Also, artificial intelligence with contextual dimensions, organizational strategies, organizational, marketing, structural, and environmental dimensions also has an impact on corporate governance in this company. Corporate governance can bring significant benefits to a business or group structure. This type of governance provides a stronger organizational culture and transparency at all levels of the organization and ensures that all actors understand their personal role in the operation. With this approach, corporate governance ensures that all information of the business unit is up-to-date and accurate, and allows the board of directors to make clear and precise strategic decisions based on reliable data. The model proposed in this study also shows that the simultaneous use of knowledge management and artificial intelligence can provide a suitable platform for improving corporate governance. This model not only leads to more accurate and data-based decision-making, but also provides the basis for reducing administrative corruption, increasing productivity and enhancing competitive advantage.

کلیدواژه‌ها English

Corporate governance
MAPNA Company
Knowledge Management
Artificial Intelligence
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