فصلنامه علوم مدیریت ایران

فصلنامه علوم مدیریت ایران

ارائه مدل هوش‌مصنوعی در جهت تعیین راهبردهای منابع‌انسانی (مطالعه موردی: بانک ملّی ایران)

نوع مقاله : مقاله استخراج شده از پایان نامه

نویسندگان
1 دکتری تخصصی، گروه مدیریت دولتی، واحد بین الملل کیش، دانشگاه آزاد اسلامی، جزیره کیش، ایران
2 دانشیار، گروه مدیریت بازرگانی، واحد شهرقدس، دانشگاه آزاد اسلامی، تهران، ایران
3 استادیار، گروه مدیریت بازرگانی، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران
100/jiams.2026.8928.7797
چکیده
این پژوهش با هدف طراحی مدل هوش مصنوعی برای تعیین راهبردهای منابع انسانی در بانک ملّی ایران، از روش ترکیبی (کیفی و کمّی) استفاده کرد. در بخش کیفی، ۱۴ صاحب نظر دانشگاهی در حوزه‌های مدیریت منابع انسانی و کامپیوتر با نمونه‌گیری گلوله برفی انتخاب شدند و داده‌ها از طریق مصاحبه نیمه‌ساختاریافته و تحلیل نظریه داده‌بنیاد جمع‌آوری گردید. در بخش کمّی، پرسشنامه‌ای مبتنی بر یافته‌های کیفی پس از تأیید روایی و پایایی توزیع شد. تحلیل داده‌ها در سه مرحله کدگذاری منجر به استخراج ۱۵۱ کد و شش مقوله اصلی شد. یافته‌ها نشان داد که عوامل علّی مانند کیفیت مدیریت داده‌ها، رهبری دیجیتال، و هوشمندسازی فرآیندهای استخدام، همراه با زمینه‌هایی چون فرهنگ‌سازی خدمات مالی نوآورانه و مدیریت مهارت‌های دیجیتال، بر موفقیت مدل تأثیرگذارند. موانع اصلی شامل نگرش مثبت به هوش مصنوعی و ارتقای آگاهی از فواید آن بود. راهبردهای پیشنهادی بر تعامل هوش مصنوعی با فناوری اطلاعات، تحول‌آفرینی استراتژیک، و تمرکز بر بازارهای الکترونیک تأکید داشتند. پیامدهای اجرای مدل شامل افزایش مزیت رقابتی، کاهش هزینه‌ها، اتوماسیون عملیات، بهبود گزینش کارکنان، و تصمیم‌گیری داده‌محور بود. در نهایت، این پژوهش نشان داد که هوش مصنوعی می‌تواند با تحول در راهبردهای منابع انسانی، بهینه‌سازی فرآیندها، و ارتقای تصمیم‌گیری، نقش کلیدی در صنعت بانکداری ایفا کند.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Developing an Artificial Intelligence Model for Human Resource Strategy Formulation (Case Study: Bank Melli Iran)

نویسندگان English

Hamid Momeni 1
Alireza Rousta 2
Majid Ahmadi 3
1 Ph.D, Department of Governmental Management, Kish International Branch, Islamic Azad University, Kish Island, Iran
2 Associate Professor, Department of Business Management, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran
3 Assistant Professor, Department of Business Management, South Tehran Branch, Islamic Azad University, Tehran, Iran
چکیده English

This research employed a mixed-methods approach (qualitative and quantitative) to design an artificial intelligence (AI) model for determining human resource (HR) strategies at Bank Melli Iran. In the qualitative phase, 14 academic experts in human resource management and computer science were selected using snowball sampling, and data were collected through semi-structured interviews and analyzed using grounded theory. In the quantitative phase, a questionnaire based on the qualitative findings was distributed after confirming its validity and reliability. Data analysis through three stages of coding resulted in the extraction of 151 codes and six main categories. The findings indicated that causal factors such as data management quality, digital leadership, and the smartization of recruitment processes, along with contextual conditions such as fostering a culture of innovative financial services and managing digital skills, influence the success of the model. The main barriers included fostering a positive attitude toward AI and raising awareness of its benefits. The proposed strategies emphasized the interaction of AI with information technology, strategic transformation, and a focus on electronic markets. The implications of implementing the model included increased competitive advantage, cost reduction, operations automation, improved employee selection, and data-driven decision-making. Ultimately, this study demonstrated that AI can play a key role in the banking industry by transforming HR strategies, optimizing processes, and enhancing decision-making.

کلیدواژه‌ها English

Human Resource Strategies
Banking Industry
Artificial Intelligence Technology
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