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نقش و جایگاه هوشمصنوعی و یادگیری ماشینی در بهسازی منابع انسانی: کاربردها و چالشها | ||
| مطالعات نوین در علوم تربیتی | ||
| مقاله 2، دوره 1، شماره 2، آذر 1404، صفحه 27-43 اصل مقاله (701.79 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.30473/ns.2026.77083.1036 | ||
| نویسندگان | ||
| اکبر جدیدی محمد آبادی1؛ فروزان آموسی* 2؛ مریم حسین زاده3 | ||
| 1دانشیار گروه علوم تربیتی، دانشگاه پیام نور، تهران، ایران | ||
| 2علوم تربیتی، ادبیات و علوم انسانی، دانشگاه پیام نور،تهران، ایران | ||
| 3دانشجوی دکتری اقتصاد، گروه اقتصاد، دانشکده مدیریت و اقتصاد، دانشگاه شهید باهنر کرمان، کرمان، ایران | ||
| چکیده | ||
| تغییر دنیای کسبوکار تحتتأثیر دادهها، فناوریهای دیجیتال و نیازهای پیچیده سازمانها، باعث ناکارآمدی روشهای سنتی مدیریت منابع انسانی شدهاست. هوشمصنوعی (AI) و یادگیری ماشینی (ML) بهعنوان دو ابزار تحولآفرین در مدیریت منابع انسانی شناخته میشوند. چگونگی بهرهبرداری مؤثر رهبران سازمانها از این تحولات مهم میباشد. این فناوریها فرآیندهایی مانند جذب و استخدام، آموزش و توسعه، ارزیابی عملکرد، مدیریت استعداد، و برنامهریزی جانشینپروری را دگرگون کردهاند. هدف پژوهش حاضر، تبیین نقش و جایگاه هوشمصنوعی و یادگیری ماشینی در مدیریت منابع انسانی بر اساس شواهد پژوهشی موجود است. این مطالعه با روش مرور نظاممند و بر اساس چارچوبهای معتبر مرور پژوهش انجام شده و مقالات مرتبط پس از غربالگری و تحلیل، بهصورت نظاممند بررسی و طبقهبندی شدهاند. یافتههای پژوهش نشانمیدهد که بهکارگیری AI و ML میتواند به بهبود کیفیت تصمیمگیری، افزایش بهرهوری، کاهش سوگیریهای انسانی و ارتقای رضایت و تعهد کارکنان منجر شود. همچنین تحلیل دادههای گسترده و چندبعدی از طریق الگوریتمهای هوشمند، امکان شخصیسازی فرایندهای منابع انسانی، بهبود ارزیابی عملکرد، مدیریت استعداد و پیشبینی رفتارهای سازمانی را فراهم میسازد. در مجموع، استفاده اخلاقمحور و نظارتشده از هوشمصنوعی و یادگیری ماشینی میتواند زمینهساز مدیریت راهبردی و پیشدستانه منابع انسانی باشد و یافتههای این پژوهش میتواند بهعنوان مبنایی برای سیاستگذاری سازمانی و طراحی نظامهای نوین منابع انسانی مورد استفاده قرار گیرد. | ||
| کلیدواژهها | ||
| هوشمصنوعی؛ یادگیری ماشینی؛ بهسازی؛ منابع انسانی | ||
| عنوان مقاله [English] | ||
| The Role and Place of Artificial Intelligence and Machine Learning in Improving Human Resources: Applications and Challenges | ||
| نویسندگان [English] | ||
| Akbar Jadidi Mohammad abadi1؛ Fooroozan Amoosa2؛ Maryam Hosseinzadeh3 | ||
| 1Associate Professor, Department of Educational Sciences, Payam Noor University, Tehran, Iran | ||
| 2Educational Sciences, Literature and Humanities, Payam Noor University, Tehran, Iran | ||
| 3PhD student in Economics, Department of Economics, Faculty of Management and Economics, Shahid Bahonar University of Kerman, Kerman, Iran | ||
| چکیده [English] | ||
| The changing business world, influenced by data, digital technologies, and the complex needs of organizations, has made traditional human resource management methods ineffective. Artificial intelligence (AI) and machine learning (ML) are recognized as two transformative tools in human resource management. How organizational leaders effectively utilize these developments is important. These technologies have transformed processes such as recruitment and hiring, training and development, performance appraisal, talent management, and succession planning. The purpose of the present study is to explain the role and position of artificial intelligence and machine learning in human resource management based on existing research evidence. This study was conducted using a systematic review method and based on valid research review frameworks, and related articles were systematically reviewed and classified after screening and analysis. The research findings show that the use of AI and ML can lead to improved decision-making quality, increased productivity, reduced human biases, and enhanced employee satisfaction and commitment. Also, analyzing extensive and multidimensional data through intelligent algorithms allows for personalization of human resources processes, improvement of performance appraisal, talent management, and prediction of organizational behaviors. In summary, the ethical and supervised use of artificial intelligence and machine learning can pave the way for strategic and proactive human resources management, and the findings of this research can be used as a basis for organizational policy-making and the design of modern human resources systems. | ||
| کلیدواژهها [English] | ||
| Artificial Intelligence, Machine Learning, Improvement, Human Resources | ||
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