بهبود مدیریت

بهبود مدیریت

بهبود مدیریت تغییر در استقرار بازاریابی محتوایی مبتنی بر هوش مصنوعی در استارتاپ‌های ایرانی با رویکرد توسعه صنعتی و تحول دیجیتال

نوع مقاله : مقاله پژوهشی

نویسندگان
1 گروه ارتباطات، روزنامه‌نگاری و رسانه، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
2 گروه مدیریت رسانه و فرهنگی، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
3 گروه مطالعات فرهنگی و رسانه، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران
چکیده
این پژوهش با هدف «تدوین و اعتبارسنجی مدل بازاریابی محتوایی مبتنی بر هوش مصنوعی در استارتاپ‌ها» و در چارچوب رویکردی کلان مبتنی بر بهبود مدیریت تغییر و توسعه صنعتی در بستر تحول دیجیتال انجام شد. در مرحله کیفی، داده‌ها از طریق روش نتنوگرافی گردآوری شد و تحلیل آن‌ها با رویکرد شبکه تماتیک در سه سطح مؤلفه، بُعد و مفهوم اصلی سامان‌دهی گردید. خروجی این مرحله استخراج پنج مفهوم محوری شامل تولید محتوا، استفاده از ابزارهای اتوماسیون، کارایی تحلیل داده‌ها، تعامل و توزیع مؤثر محتوا، و بهبود تصمیم‌گیری بود. روایی محتوایی گویه‌ها بر اساس قضاوت ۱۰ متخصص و شاخص نسبت روایی محتوا با آستانه 0.62 تأیید شد. در مرحله کمی، پرسشنامه نهایی به‌صورت برخط توزیع و 489 پاسخ معتبر گردآوری شد. تحلیل عاملی تأییدی اجرا شد. شاخص‌های برازش مدل اندازه‌گیری بسیار مطلوب بود. برونداد نهایی پژوهش، چارچوبی یکپارچه، مدیریت‌محور و پیوندخورده با نیازهای تحول دیجیتال و توسعه صنعتی ارائه می‌دهد که نحوه به‌کارگیری ظرفیت‌های فنی هوش مصنوعی در بهبود کیفیت محتوا، استقرار اتوماسیون، بهینه‌سازی توزیع و ارتقای تصمیم‌سازی داده‌محور در استارتاپ‌ها را روشن می‌سازد و می‌تواند مبنایی برای هدایت سیاست‌گذاری و مدیریت تغییر در زیست‌بوم استارتاپی ایران باشد.
کلیدواژه‌ها

عنوان مقاله English

Enhancing Change Management in the Deployment of AI‑Driven Content Marketing in Iranian Startups: An Industrial Development and Digital Transformation Approach

نویسندگان English

maryam modiri 1
Nasim Majidi Ghahrudi 1
Ataollah Abtahi 2
Mohammadreza Rasouli 3
1 Department of Communication, Journalism and Media, Ct.C, Islamic Azad University, Tehran, Iran
2 Department of Media & Culture management, science and research branch, Islamic Azad University, Tehran, Iran
3 Department of Cultural Studies and Media, Ct.C, Islamic Azad University, Tehran, Iran
چکیده English

This study was conducted with the aim of “developing and validating a model of AI based content marketing in startups” within a macro level framework centered on improving change management and industrial development in the context of digital transformation. The research design followed a sequential exploratory mixed methods approach. In the qualitative phase, data were collected through netnography and analyzed using a thematic network approach organized at three levels: component, dimension, and core concept. The output of this phase was the extraction of five core concepts: content production, use of automation tools, data analysis efficiency, effective content interaction and distribution, and decision making improvement, which formed the basis for developing the quantitative instrument. The content validity of the items was confirmed based on the judgment of 10 experts and the content validity ratio (CVR) with a threshold of 0.62. In the quantitative phase, the final questionnaire was distributed online, and 489 valid responses were collected. Confirmatory factor analysis (CFA) was performed. The model fit indices were highly satisfactory. The final output of the research presents an integrated, management oriented framework that is aligned with the needs of digital transformation and industrial development. This framework clarifies how to leverage the technical capabilities of artificial intelligence to improve content quality, deploy automation, optimize distribution, and enhance data driven decision making in startups, and can serve as a basis for guiding policy making and change management in Iran’s startup ecosystem.

کلیدواژه‌ها English

Content marketing
Artificial intelligence
Marketing automation
Startups
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  • تاریخ دریافت 12 مهر 1404
  • تاریخ بازنگری 03 خرداد 1405
  • تاریخ پذیرش 08 خرداد 1405