fa تبیین نقش میانجی اشتراک دانش در ارتباط بین هوش مصنوعی و خلاقیت سازمانی (مطالعه موردی: کتابداران کتابخانه‌های علوم پزشکی شهر تهران) تخصصي Special پژوهشي Research <div style="text-align: justify;"><span style="font-size:12pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><b><span lang="FA" style="font-size:11.0pt"><span b="" nazanin="" style="font-family:">مقدمه: </span></span></b><span lang="FA" style="font-size:11.0pt"><span b="" nazanin="" style="font-family:">این پژوهش با هدف بررسی تأثیر قابلیت‌های هوش مصنوعی بر خلاقیت سازمانی، با تأکید بر نقش میانجی تسهیم دانش، در میان کتابداران کتابخانه‌های دانشگاه‌های علوم پزشکی مستقر در تهران انجام شده است</span></span><span dir="LTR" style="font-size:11.0pt">.</span><span lang="FA" style="font-size:11.0pt"><span style="font-family:"B Nazanin""></span></span></span></span></span></span><br> <span style="font-size:12pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><b><span lang="FA" style="font-size:11.0pt"><span b="" nazanin="" style="font-family:">روش‌ پژوهش:</span></span></b><span lang="FA" style="font-size:11.0pt"><span b="" nazanin="" style="font-family:"> روش تحقیق از نوع توصیفی-پیمایشی و از منظر هدف، کاربردی است. جامعه آماری پژوهش شامل کلیه کتابداران شاغل در کتابخانه‌های دانشگاه‌های علوم پزشکی شهر تهران بود. با توجه به محدود بودن حجم جامعه، روش سرشماری برای گردآوری داده‌ها مورد استفاده قرار گرفت و در مجموع ۲۱۴ پرسشنامه تکمیل و وارد تحلیل شد. برای سنجش متغیرهای پژوهش از ابزارهای معتبر و استاندارد بهره گرفته شد. میزان استفاده از هوش مصنوعی از طریق پرسشنامه‌ای ۲۲‌گویه‌ای در پنج بعد (مدیریت هوش مصنوعی، تصمیم‌گیری مبتنی بر هوش مصنوعی، زیرساخت هوش مصنوعی، آمادگی برای هوش مصنوعی، و مهارت‌های مرتبط با هوش مصنوعی) که از مطالعه چن و همکاران (۲۰۲۲) اقتباس شده بود، ارزیابی گردید. خلاقیت سازمانی با ابزار 15‌گویه‌ای طراحی‌شده توسط لیائو و وو (2013) سنجیده شد. شاخص تسهیم دانش نیز با استفاده از پرسشنامه داماج و همکاران (۲۰۱۶) شامل ۱۲ گویه ارزیابی گردید. تمامی ابزارها بر اساس طیف پنج‌درجه‌ای لیکرت طراحی شدند. روایی ابزارها از طریق تحلیل روایی همگرا و واگرا و پایایی آن‌ها با محاسبه آلفای کرونباخ تأیید شد</span></span><span dir="LTR" style="font-size:11.0pt">.</span><span lang="FA" style="font-size:11.0pt"><span style="font-family:"B Nazanin""></span></span></span></span></span></span><br> <span style="font-size:12pt"><span style="direction:rtl"><span style="unicode-bidi:embed"><span new="" roman="" style="font-family:" times=""><b><span lang="FA" style="font-size:11.0pt"><span b="" nazanin="" style="font-family:">یافته‌ها: </span></span></b><span lang="FA" style="font-size:11.0pt"><span b="" nazanin="" style="font-family:">نتایج نشان داد که بین هوش مصنوعی و خلاقیت سازمانی رابطه مثبت و معناداری وجود دارد. همچنین، هوش مصنوعی اثر مثبت و معناداری بر تسهیم دانش دارد. از سوی دیگر، تسهیم دانش با خلاقیت سازمانی رابطه مثبت و معناداری برقرار می‌سازد</span></span><span dir="LTR" style="font-size:11.0pt">.</span><span lang="FA" style="font-size:11.0pt"><span style="font-family:"B Nazanin""></span></span></span></span></span></span><br> <b><span dir="RTL" lang="FA" style="font-size:11.0pt"><span b="" nazanin="" style="font-family:">نتیجه‌گیری:</span></span></b><span dir="RTL" lang="FA" style="font-size:11.0pt"><span b="" nazanin="" style="font-family:"> تحلیل‌ها بیانگر آن است که تسهیم دانش به‌عنوان یک متغیر میانجی کامل، نقش مهمی در پیوند میان قابلیت‌های هوش مصنوعی و خلاقیت سازمانی ایفا می‌کند. </span></span></div> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><b><span new="" roman="" style="font-family:" times="">Introduction</span></b></span></span></span></span></span><br> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><span new="" roman="" style="font-family:" times="">This study examines the relationship between artificial intelligence (AI) utilization and organizational creativity, with knowledge sharing as a mediating variable, among librarians working in medical sciences university libraries in Tehran. AI, as a transformative technology of the Fourth Industrial Revolution, plays a growing role in enhancing organizational performance through automation, decision support, and improved information management. Literature indicates that AI positively influences creativity and that knowledge sharing reinforces this effect by facilitating exchange, collaboration, and innovative behaviors. Despite increasing global attention to AI capabilities, research in knowledge-intensive environments such as academic libraries remains limited. Addressing this gap, the present study uses a structural equation modeling approach to explore how AI adoption contributes to creativity and how knowledge sharing fully mediates this relationship within library settings.</span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><span style="font-family:"Times New Roman","serif""></span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><b><span new="" roman="" style="font-family:" times="">Methods and Materoal</span></b></span></span></span></span></span><br> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><span new="" roman="" style="font-family:" times="">This applied and quantitative study examines the relationship between artificial intelligence and organizational creativity, considering the mediating role of knowledge sharing among librarians in medical sciences universities in Tehran. Using a census sampling approach, data were collected from 214 librarians between October and December 2024. Validated instruments were employed to assess AI utilization, organizational creativity, and knowledge sharing. Reliability and validity were confirmed through Cronbach&rsquo;s alpha and convergent/discriminant validity analyses. Structural equation modeling (SEM) using SmartPLS was applied to test the conceptual model and hypotheses, enabling simultaneous evaluation of latent variables, path coefficients, and model fit indices.</span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><span style="font-family:"Times New Roman","serif""></span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><b><span new="" roman="" style="font-family:" times="">Resultss and Discussion</span></b></span></span></span></span></span><br> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><span new="" roman="" style="font-family:" times="">Based on the statistical evidence, the Z-value exceeded the threshold of 1.96, confirming with 95% confidence that knowledge sharing plays a significant mediating role between artificial intelligence (AI) and organizational creativity (P &le; 0.05). The Variance Accounted For (VAF) index, used to assess the strength of the mediation effect, was calculated as 0.894, indicating full mediation. Structural Equation Modeling (SEM) results further demonstrated that AI has a positive and significant effect on organizational creativity (&beta; = 0.501, t = 11.909, P &le; 0.05), meaning that a one-unit increase in AI utilization results in an average increase of 0.501 standard deviations in creativity. Additionally, AI positively influences knowledge sharing (&beta; = 0.537, t = 9.672, P &le; 0.05), implying that higher AI adoption leads to improved knowledge sharing. Finally, knowledge sharing itself positively and significantly impacts organizational creativity (&beta; = 0.618, t = 9.853, P &le; 0.05), suggesting that a one-unit increase in knowledge sharing contributes to a 0.618 standard deviation growth in creativity.</span><span lang="FA" dir="RTL" style="font-family:"B Nazanin""></span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><span lang="FA" dir="RTL" style="font-family:"B Nazanin""></span></span></span></span></span></span><br> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><b><span new="" roman="" style="font-family:" times="">Conclusion</span></b></span></span></span></span></span><br> <span style="font-size:11pt"><span style="tab-stops:70.4pt"><span style="unicode-bidi:embed"><span style="line-height:115%"><span calibri="" style="font-family:"><span new="" roman="" style="font-family:" times="">The study highlights the strategic role of artificial intelligence (AI) in enhancing organizational creativity through the mediating effect of knowledge sharing among librarians in medical sciences university libraries. The findings indicate that AI capabilities positively influence both knowledge sharing and organizational creativity, reinforcing previous research and demonstrating that AI functions not only as a technological tool but also as a cognitive and cultural infrastructure that strengthens communication, decision-making, and innovation. Knowledge sharing also significantly promotes creativity by fostering the exchange of experiences, ideas, and expertise, thereby enabling collaborative problem-solving and the generation of novel solutions. Despite its contributions, the research is limited by its focus on a specific population, the use of self-reported data, and its cross-sectional design. The study recommends investing in AI infrastructure, cultivating a strong knowledge-sharing culture, and implementing supportive managerial practices to promote innovation, enhance learning, and achieve sustainable organizational competitiveness.</span></span></span></span></span></span><br> &nbsp; هوش مصنوعی, خلاقیت سازمانی, تسهیم دانش, کتابداران, اشتراک‌گذاری دانش. Artificial Intelligence, Organizational Creativity, Knowledge Sharing, Librarians 114 128 http://hii.khu.ac.ir/browse.php?a_code=A-10-494-2&slc_lang=fa&sid=1 Seifallah Andayesh سیف اله اندایش andayesh.s@pgu.ac.ir 10031947532846006149 10031947532846006149 Yes Knowledge and Information Science, Persian Gulf University, Bushehr, Iran. گروه علم اطلاعات و دانش شناسی، دانشگاه خلیج فارس، بوشهر، ایران. zahra kianrad زهرا کیان راد kianrad.zahra@gmail.com 10031947532846006150 10031947532846006150 No PhD Knowledge and Information Science, University of Tehran, Tehran, Iran. گروه علم اطلاعات و دانش‌شناسی، دانشکده مدیریت، دانشگاه تهران، تهران، ایران