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تأثیر قابلیت هوش مصنوعی بر عملکرد سازمانی در شرکتهای دانشبنیان ایران: نقش میانجیگری مکانیسمهای مدیریت دانش سازمانی | ||
| مدیریت راهبردی دانش سازمانی | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 27 خرداد 1405 اصل مقاله (2.19 M) | ||
| نوع مقاله: مقاله پژوهشی با اصالت | ||
| شناسه دیجیتال (DOI): 10.47176/SMOK.2026.1979 | ||
| نویسندگان | ||
| سهیلا خدامی* 1؛ مهسا افشارپور2 | ||
| 1دانشیار، گروه مدیریت بازرگانی، دانشکده مدیریت، دانشگاه خوارزمی، تهران، ایران، s.khoddami@khu.ac.ir | ||
| 2دانشجوی (دکتری) مدیریت بازاریابی، دانشکده مدیریت، دانشگاه خوارزمی، تهران، ایران، std_Mahsaafsharpour@alumni.khu.ac.ir | ||
| تاریخ دریافت: 22 آبان 1404، تاریخ بازنگری: 09 دی 1404، تاریخ پذیرش: 31 اردیبهشت 1405 | ||
| چکیده | ||
| هدف: با وجود سرمایهگذاری در هوش مصنوعی، تنها محدودی از سازمانها به بازده مطلوب دست یافتهاند. این واقعیت هوش مصنوعی را نه صرفاً فناوری خام، بلکه قابلیتی دانشی معرفی میکند که برای عملکرد ملموس، نیازمند فعالسازی مکانیسمهای درونی است. هدف اصلی پژوهش، بررسی تأثیر قابلیت هوش مصنوعی بر عملکرد سازمانی در شرکتهای دانشبنیان ایران با میانجیگری مکانیسمهای مدیریت دانش است. روش پژوهش: این پژوهش کاربردی و توصیفی-پیمایشی است که بر روی شرکتهای دانشبنیان ایران انجام شد. نمونهای متشکل از ۱۰۰ نفر بر اساس توان آماری و به روش نمونهگیری در دسترس انتخاب شدند. دادهها از طریق پرسشنامه استاندارد ۳۴ گویهای گردآوری و با مدلسازی معادلات ساختاری در نرمافزار SmartPLS نسخه ۴ تحلیل شدند. یافتهها: قابلیت هوش مصنوعی، از طریق چهار مکانیسم خلاقیت سازمانی، مدیریت هوش مصنوعی، یادگیری سازمانی و چابکی سازمانی، تأثیری غیرمستقیم بر عملکرد دارد. در این میان، ، چابکی سازمانی قویترین و مدیریت هوش مصنوعی ضعیفترین اثر را داشتند. همچنین، مدل پیشنهادی از برازش و قدرت پیشبینی مطلوبی برخوردار است. بحث: ارزش هوش مصنوعی، تنها از طریق جذب در چرخه دانش محقق میشود. این پژوهش نشان داد که بدون فعالسازی مکانیسمهای درونی مانند چابکی و یادگیری، سرمایهگذاریهای فناورانه به عملکرد ملموس تبدیل نمیشوند و پارادوکس بهرهوری هوش مصنوعی در شرکتهای دانشبنیان تداوم مییابد. نتیجهگیری: موفقیت شرکتهای دانشبنیان در تبدیل سرمایهگذاری فناورانه به مزیت رقابتی پایدار، مستلزم ادغام استراتژیک هوش مصنوعی در چرخه مدیریت دانش است. چابکی سازمانی بهعنوان موتور تبدیل قابلیتها به عملکرد ملموس شناسایی شد که ضرورت توسعه ساختارهای پاسخگو و فرآیندهای یادگیری پویا را آشکار میسازد. | ||
| کلیدواژهها | ||
| چابکی سازمان؛ خلاقیت سازمان؛ عملکرد سازمان؛ قابلیت هوش مصنوعی؛ مدیریت هوش مصنوعی؛ یادگیری سازمانی | ||
| عنوان مقاله [English] | ||
| The impact of artificial intelligence capability on organizational performance in knowledge-based firms in Iran: The mediating role of organizational knowledge management mechanisms | ||
| نویسندگان [English] | ||
| Soheila Khoddami1؛ Mahsa Afsharpour2 | ||
| 1Associate Professor, Department of Business Management, Faculty of management, University of Kharazmi, Tehran, Iran, s.khoddami@khu.ac.ir | ||
| 2PhD Student of Business Management, Faculty of management, University of Kharazmi, Tehran, Iran, std_Mahsaafsharpour@alumni.khu.ac.ir | ||
| چکیده [English] | ||
| Purpose: Despite significant investments in artificial intelligence, only a limited number of organizations achieve desired returns. This reality positions AI not merely as raw technology, but as a knowledge capability requiring the activation of internal mechanisms for tangible performance. Therefore, this study aims to investigate the impact of AI ability on firm performance in Iranian knowledge-based firms, mediated by knowledge management mechanisms. Methodology: This applied, descriptive-survey study was conducted on Iranian knowledge-based firms. A representative sample of 100 senior managers was selected via convenience sampling based on statistical power. Data were collected using a 34-item standard questionnaire and analyzed using structural equation modeling in SmartPLS 4. Results: Results indicate AI ability indirectly influences firm performance through four mechanisms: firm creativity, AI management, organizational learning, and organizational agility. Among these, organizational agility demonstrated the strongest effect, while AI management had the weakest. The proposed structural model exhibited desirable fit and predictive power. Discussion: The value of AI is realized only through its absorption into the knowledge cycle. This research clearly demonstrates that without activating internal mechanisms like agility and learning, technological investments fail to translate into tangible performance, thereby perpetuating the well-known AI productivity paradox Conclusion: Ultimately, the long-term success of knowledge-based firms in converting technological investments into sustainable competitive advantage requires the strategic integration of AI into the knowledge management cycle. Organizational agility was identified as the primary engine converting capabilities into tangible performance, highlighting the critical necessity of developing highly responsive organizational structures and dynamic and continuous learning processes. | ||
| کلیدواژهها [English] | ||
| AI ability, Firm creativity, AI management, Organizational learning, Organizational agility, Firm performance | ||
| مراجع | ||
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