مطالعات رفتار سازمانی

مطالعات رفتار سازمانی

بررسی عوامل مؤثر بر پذیرش هوش مصنوعی در شرکت‌های دانش‌بنیان براساس مدل ثانویۀ نظریۀ یکپارچۀ پذیرش و استفاده از فناوری (UTAUT2)

نوع مقاله : مقاله پژوهشی

نویسندگان
1 استادیارگروه مدیریت، دانشکده مدیریت و حسابداری، دانشگاه حضرت معصومه(س)، قم، ایران
2 استاد گروه مدیریت و برنامه ریزی، دانشکده مدیریت و حسابداری، دانشکدگان فارابی دانشگاه تهران، قم، ایران
3 گروه مدیریت، دانشکده مدیریت و حسابداری، دانشگاه جامع انقلاب اسلامی، تهران، ایران
10.22034/obs.2026.2066401.3579
چکیده
شرکت‌های دانش‌بنیان به‌عنوان بازیگران کلیدی در اقتصاد دانش‌محور، نقشی حیاتی در توسعۀ فناوری، نوآوری و رشد اقتصادی ایفا می‌کنند. در‌این‌میان، هوش مصنوعی (AI) به‌عنوان یکی از تحولات بنیادین عصر دیجیتال، فرصت‌های بی‌نظیری را برای ارتقای بهره‌وری و خلق ارزش در این شرکت‌ها فراهم آورده است. باتوجه‌به اهمیت روزافزون هوش مصنوعی، شناسایی عوامل مؤثر بر پذیرش این فناوری توسط کارکنان شرکت‌های دانش‌بنیان ازمنظر نظریه‌های رفتار فناورانه همچون UTAUT2، ضروری به‌نظر می‌رسد. این پژوهش با هدف بررسی چگونگی پذیرش فناوری هوش مصنوعی و نقش فناوری مذکور در قصد به‌کارگیری و رفتار کارکنان، از چارچوب نظری مدل توسعه‌یافتۀ یکپارچۀ پذیرش و استفاده از فناوری (UTAUT2) بهره گرفته است. پژوهش حاضر ازلحاظ هدف، کاربردی و ازنظر روش، توصیفی- همبستگی است. داده‌ها از نمونه‌ای شامل 183 نفر از کارکنان شرکت‌های دانش‌بنیان استان بوشهر که به‌صورت دردسترس انتخاب شدند، جمع‌آوری و با استفاده از روش مدل‌سازی معادلات ساختاری و نرم‌افزار Smart PLS تحلیل شدند. نتایج نشان می‌دهد که تمامی متغیرهای مدل UTAUT2 شامل انتظار عملکرد، انتظار تلاش، تأثیر اجتماعی، شرایط تسهیل‌کننده، ارزشمندی هزینه، عادت و انگیزۀ لذت‌گرایانه تأثیر مثبت و معناداری بر قصد پذیرش هوش مصنوعی توسط کارکنان شرکت‌های دانش‌بنیان دارند. این یافته‌ها ضمن فراهم‌سازی بینش روشنی از رفتار کاربران سازمانی، می‌توانند راهگشای سیاست‌گذاران، مدیران و تصمیم‌گیرندگان شرکت‌های مذکور در مسیر پیاده‌سازی مؤثر فناوری‌های هوشمند باشند.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Investigating the Factors Affecting the Adoption of Artificial Intelligence in Knowledge-Based Companies Based on the Secondary Model of the Unified Theory of Acceptance and Use of Technology (UTAUT2)

نویسندگان English

reza kohanhooshnejad 1
Hossein Khanifar 2
razieh Kolali 3
1 Department of management, Faculty of Management and Accounting, Hazrat-e Masoumeh University, Qom, Iran
2 Department of management, Faculty of Management and Accounting, University of Tehran, College of Farabi, Qom, Iran
3 Department of management, Faculty of Management and Accounting, Islamic Revolution Comprehensive University, Tehran, Iran
چکیده English

Knowledge-based companies as key players in the knowledge-based economy, play a vital role in technological development, innovation, and economic growth. Meanwhile, artificial intelligence (AI), as one of the fundamental developments of the digital age, has provided Unique opportunities to improve productivity and create value in these companies. Given the increasing importance of artificial intelligence, it seems necessary to identify the factors affecting the acceptance of this technology by employees of knowledge-based companies from the perspective of technological behavior theories such as UTAUT2. The present study is applied in terms of purpose and descriptive-correlational in terms of method. Data were collected from a sample of 183 employees of knowledge-based companies in Bushehr province, who were selected through convenience sampling, and analyzed using structural equation modeling and Smart PLS software. The results show that all variables of the UTAUT2 model, including performance expectation, effort expectation, social influence, facilitating conditions, price value, habit, and hedonic motivation, have a positive and significant effect on the intention to adopt artificial intelligence by employees of knowledge-based companies. These findings, while providing clear insight into the behavior of organizational users, can guide policymakers, managers, and decision-makers of the aforementioned companies towards the effective implementation of smart technologies.

کلیدواژه‌ها English

Knowledge-based companies
artificial intelligence
secondary model
technology adoption
technological behavior.
منابع
آذر، عادل و غلام‌زاده، رسول (1395)، مدل‌سازی معادلات ساختاری: کمترین مربعات جزئی (PLS-SEM)، نگاه دانش.
داوری، علی و رضازاده، آرش (1393)، مدل‌سازی معادلات ساختاری با رویکرد حداقل مربعات جزئی، سازمان انتشارات جهاد دانشگاهی.
روشن، س. ع. ؛ یعقوبی، ن. م. و مؤمنی، ا. ر. (۱۴۰۰)، کاربست هوش مصنوعی در بخش دولتی (مطالعه‌ای فراترکیب)، فصلنامه انجمن علوم مدیریت ایران، ۱۶(۶۱): ۱۱۷ ـ ۱۴۵.
محمودی، تیناسادات؛ رونقی، محمد و امینی، علی (۱۴۰۴)، تأثیر پذیرش هوش مصنوعی بر پایداری اجتماعی (موردمطالعه: شرکت‌های دانش‌بنیان استان اصفهان)، فصلنامه علمی ـ پژوهشی توسعه کارآفرینی، ۱۷(۴):۱ ـ ۳۱.
ملکی، ا.، و نیلفروشان، ح. (۱۴۰۳)، نقش واسطه‌های نوآوری در پذیرش فناوری‌های نوظهور در صنعت خودروی ایران، مدیریت صنعتی، ۱۶(۱): ۱ ـ ۳۶.
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