تحلیل جامع مدل‌های نوظهور تجاری‌سازی فناوری با رویکرد هوش مصنوعی توزیع شده ‌

•   آرشیو : نسخه تابستان 1403
•   کد پذیرش : 12226
•   موضوع : سایر شاخه ها
• نویسنده/گان : | مجتبی ترابی گلسفیدی، الهام مقدم‌نیا
•   زبان : فارسی
•   نوع مقاله : پژوهشی
•   چکیده مقاله به فارسی : در عصر حاضر، شاهد تحولات شگرفی در ابعاد مختلف هستیم که هوش مصنوعی به عنوان ابزاری نوین و قدرتمند، نقشی محوری در دگرگونی صنایع و خلق فرصت‌های جدید برای کسب‌وکارها ایفا می‌کند. این فناوری نوظهور، دریچه‌ای به سوی دنیایی از نوآوری و پیشرفت می‌گشاید و پتانسیل‌های بی‌شماری را برای ارتقای بهره‌وری، کاهش هزینه‌ها، خلق محصولات و خدمات نوآورانه و بهبود تجربه مشتریان به ارمغان می‌آورد. با این حال، تجاری‌سازی هوش مصنوعی، چالش‌ها و ملاحظات خاص خود را نیز دارد. درک عمیق از مدل‌های نوظهور تجاری‌سازی این فناوری و عوامل کلیدی مؤثر بر آن، برای موفقیت در این مسیر ضروری است. هدف از این پژوهش، بررسی مدل‌های نوظهور تجاری‌سازی هوش مصنوعی شناسایی و دسته‌بندی چالش‌ها و عوامل کلیدی مؤثر بر تجاری‌سازی این فناوری نوظهور است. تحقیق حاضر از نظر هدف، کاربردی- توسعه‌ای و از نظر روش از نوع کیفی است. در مرحله اول مصاحبه با خبرگان این حوزه انجام گرفت، نمونه‌گیری به صورت هدفمند انجام شد و تمرکز بر تدوین نظریه بود؛ خبرگان آشنا به تجاری‌سازی فناوری مبتنی بر هوش مصنوعی جامعه آماری این پژوهش را تشکیل می‌دادند. این خبرگان شامل متخصصین و خبرگان حوزه هوش مصنوعی و شاخه‌های مرتبط با آن و مدیران محصول، متخصصان بازاریابی، کارشناسان فروش و متخصصان لجستیک بودند. از آنجایی که مصاحبه با متخصصین این حوزه زمان زیادی احتیاج داشت و این افراد زمان کافی برای مصاحبه در تمامی ابعاد را نداشتند همچنین تمامی اطلاعات لازم در این خصوص از طریق مصاحبه در اختیار محقق قرار نمی‌گرفت لذا علاوه بر مصاحبه اسناد و مدارک و مطالعات پیشین در این زمینه مورد بررسی قرار گرفتند و از آنجایی که تجزیه و تحلیل داده‌های کیفی به روش‌های دستی کار دشواری بود و همچنین این حجم از اسناد و مدارک قابلیت تجزیه و تحلیل به روش‌های قدیمی نداشت با استفاده از نرم‌افزار Atlas.ti به تجزیه و تحلیل داده‌ها پرداخته شد. مطابق با نتایج تحقیق 93 مقوله فرعی (کد باز) شناسایی شدند که در 26 مقوله اصلی (کد محوری) به عنوان عواملی که منجر به تجاری‌سازی فناوری مبتنی بر هوش مصنوعی منجر می‌شوند؛ دسته بندی شدند. در نهایت مدل تحقیق اعتباریابی و پیشنهادهای تحقیق ارائه شده است.
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•   کلمات کلیدی به فارسی : گراندد تئوری؛ هوش مصنوعی؛ تجاری‌سازی؛ مدل‌های نوظهور؛ عوامل کلیدی؛ چالش‌ها؛ موفقیت.
•   چکیده مقاله به انگلیسی : In today's era, we are witnessing tremendous developments in different dimensions, where artificial intelligence plays a central role in transforming industries and creating new opportunities for businesses as a new and powerful tool. This emerging technology opens the door to a world of innovation and advancement and brings countless potential to improve productivity, reduce costs, create innovative products and services, and improve customer experience. However, the commercialization of artificial intelligence also has its own challenges and considerations. A deep understanding of the emerging models of commercialization of this technology and the key factors affecting it is essential for success in this direction. The purpose of this research is to investigate the emerging models of commercialization of artificial intelligence, to identify and categorize the challenges and key factors affecting the commercialization of this emerging technology. The current research is applied-developmental in terms of purpose and qualitative in terms of method. In the first stage, interviews were conducted with experts in this field, sampling was done in a targeted manner, and the focus was on formulating the theory; Experts familiar with the commercialization of technology based on artificial intelligence formed the statistical population of this research. These experts included specialists and experts in the field of artificial intelligence and related branches and product managers, marketing specialists, sales experts and logistics specialists. Since the interview with experts in this field required a lot of time and these people did not have enough time to interview in all dimensions, also all the necessary information in this regard was not provided to the researcher through the interview, so in addition to the interview, documents and previous studies in This field was investigated and since the analysis of qualitative data by manual methods was a difficult task and also this volume of documents could not be analyzed by old methods, the data was analyzed using Atlas.ti software. became. According to the research results, 93 sub-categories (open code) were identified in 26 main categories (core code) as factors that lead to the commercialization of artificial intelligence-based technology; were categorized. Finally, the validation research model and research proposals are presented.
•   کلمات کلیدی به انگلیسی : grounded theory; Artificial intelligence; Commercialization; emerging models; Key factors; Challenges; Success
•  صفحات : 64-91
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