مدیریت استراتژیک هوشمند

مدیریت استراتژیک هوشمند

طراحی مدل یکپارچه مدیریت استراتژیک منابع انسانی و هوش مصنوعی برای تعیین چابکی و انعطاف‌پذیری شرکت‌های تولیدی

نوع مقاله : مقاله پژوهشی

نویسنده
استادیار، گروه مدیریت دولتی، واحد رامهرمز، دانشگاه آزاد اسلامی، رامهرمز، ایران.
چکیده
هدف از این تحقیق بررسی عوامل موثر بر چابکی و تاب آوری زنجیره تامین در شرکت های تولیدی می باشد. بنابراین، یک مدل تحقیق یکپارچه مبتنی بر مدیریت استراتژیک منابع انسانی و هوش مصنوعی برای تعیین چابکی و انعطاف‌پذیری شرکت‌های تولیدی توسعه داده شد. داده های تجربی از 221 کارمند شاغل در شرکت های تولیدی در خوزستان جمع آوری شدند. برای تجزیه و تحلیل داده ها از روش مدل سازی معادلات ساختاری استفاده شد. نتایج نشان داد که رهبری مشترک، مهارت‌های کارمند، فرهنگ سازمانی، شدت رقابت، توسعه سرمایه انسانی و هوش مصنوعی 80 درصد از واریانسR2) ) چابکی زنجیره تامین را توضیح داده‌اند. به طور مشابه، تحلیل عملکرد اهمیت نشان داد که در مدل یکپارچه چابکی زنجیره تامین، فاکتورهای رهبری، توسعه سرمایه انسانی و انعطاف‌پذیری سازمانی اهمیت بیشتری در تعیین تاب آوری زنجیره تامین دارند. در عمل، این تحقیق نشان می‌دهد که عواملی مانند رهبری، مهارت‌های کارکنان، فرهنگ سازمانی، شدت رقابت، توسعه سرمایه انسانی و هوش مصنوعی با چابکی زنجیره تامین ارتباط مثبت دارند و از این رو نیاز به توجه سیاست‌گذاران دارند. ارزش این تحقیق در ادغام هوش مصنوعی، انعطاف‌پذیری سازمانی و مدیریت استراتژیک منابع انسانی برای بررسی چابکی زنجیره تامین و بررسی تاثیر این عوامل بر تاب آوری زنجیره تامین نهفته است.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Designing an integrated model of strategic human resource management and artificial intelligence to determine the agility and flexibility of manufacturing companies

نویسنده English

Ali Raeis Poor
Assistant Prof., Department of Public Administration,Ramh.C,Islamic Azad University,Ramhormoz,Iran.
چکیده English

The aim of this study is to investigate the factors affecting supply chain agility and resilience in manufacturing companies. Therefore, an integrated research model based on strategic human resource management and artificial intelligence was developed to determine the agility and resilience of manufacturing companies. Empirical data were collected from 221 employees working in manufacturing companies in Iran. Structural equation modeling was used to analyze the data. The results showed that shared leadership, employee skills, organizational culture, competitive intensity, human capital development, and artificial intelligence explained 80% of the variance (R2) of supply chain agility. Similarly, importance function analysis showed that in the integrated model of supply chain agility, leadership factors, human capital development, and organizational flexibility are more important in determining supply chain resilience. In practice, this study shows that factors such as leadership, employee skills, organizational culture, competitive intensity, human capital development, and artificial intelligence are positively related to supply chain agility and therefore need the attention of policymakers. The value of this research lies in integrating artificial intelligence, organizational flexibility, and strategic human resource management to examine supply chain agility and examine the impact of these factors on supply chain resilience.

کلیدواژه‌ها English

Strategic human resource management
artificial intelligence
human capital development
organizational flexibility
supply chain agility
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