چکیده مقاله
Small and medium sized enterprises SMEs face a persistent competitive disadvantage in the digital marketplace, where consistent, high quality content across text, image, and video formats is essential yet resource intensive to produce The advent of generative artificial intelligence AI tools promises a solution, posited as a great democratizer that can level the playing field against larger competitors This paper critically investigates this promise, asking whether AI generated content truly serves as an equitable field leveler for SMEs or constitutes a strategic hype trap replete with hidden costs and risks Through a comparative analysis of AI tool capabilities and a synthesis of emerging literature on ethics, quality, and strategy, we develop a practical framework for SME adoption Our findings indicate that AI is not an automatic equalizer but a potent amplifier; it efficiently scales content production but introduces significant challenges related to authenticity, strategic oversight, and ethical compliance We conclude that successful navigation—avoiding the trap and harnessing the leveling potential—requires a deliberate human in the loop strategy where AI augments, rather than replaces, human creativity and brand stewardship This paper provides SMEs and researchers with a critical lens and actionable guidance for integrating generative AI into content workflows responsibly and effectively
کلیدواژهها
نویسندگان
Mahdiyar Abdollahi
National University of Skills NUS
Mehrdad Hamidzadeh
National University of Skills NUS
رزومه علمی کاربران
درباره سیویلیکاتبلیغات در سیویلیکاآمار علمی ایرانتقویم علمی ایرانداده کاوی مقالاتطرح های پژوهشی
شیوه ارجاع
در صورتی که می خواهید در اثر پژوهشی خود به این مقاله ارجاع دهید، به سادگی می توانید از عبارت زیر در بخش منابع و مراجع استفاده نمایید: Abdollahi، Mahdiyar و Hamidzadeh، Mehrdad،1404،AI-Generated Content for SMEs: Leveling the Field or Navigating a Hype Trap?،اولین کنفرانس بین المللی مدیریت، علوم کامپیوتر و هوش مصنوعی،تهران،https://civilica.com/doc/2600103
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی مدیریت، علوم کامپیوتر و هوش مصنوعی30 بهمن 1404 · تهران