نوع مقاله : مقاله مروری
نویسندگان
1 گروه مدیریت بازرگانی (مدیریت راهبردی)، دانشکده اقتصاد و مدیریت، دانشگاه تربیت مدرس، تهران، ایران.
2 گروه مدیریت بازرگانی، دانشکده اقتصاد و مدیریت، دانشگاه تربیت مدرس، تهران، ایران.
3 گروه علوم تصمیم و سیستمهای پیچیده، دانشکده معارف اسلامی و مدیریت، دانشگاه امام صادق علیه السلام، تهران، ایران.
کلیدواژهها
عنوان مقاله English
نویسندگان English
The aim of this study is to explore artificial intelligence in the automotive industry through a bibliometric analysis, a systematic review, and future research directions. In this study, 179 international articles indexed in the Web of Science and Scopus databases were analyzed. The research methodology consisted of two stages: first, a bibliometric analysis was conducted using VOSviewer software to identify thematic clusters in the literature related to artificial intelligence and the automotive industry. Subsequently, a qualitative systematic review was carried out to provide deeper insights into these clusters.The findings revealed a significant focus on autonomous vehicles, deep learning, and machine learning as key AI technologies. Four thematic clusters were identified, including AI-driven automotive ecosystems, core AI technologies and security, connectivity and resource management, and advanced vehicle technologies. In particular, safety, resource optimization, and regulatory frameworks emerged as key areas within these clusters. The study also identified four emerging research domains that are expected to play a major role in shaping the future of artificial intelligence in the automotive industry, while offering transformative opportunities to address existing knowledge gaps.
کلیدواژهها English
