تحلیل نقش و جایگاه ذی‌نفعان اکوسیستم هوش‌مصنوعی در صنعت خودروسازی ایران

The automotive industry, as the forefront of the technological revolution, is undergoing a profound transformation with the integration of artificial intelligence (AI) technology. AI and its application in this industry have evolved into a complex technological ecosystem that encompasses numerous stakeholders. The objective of this research is to identify and analyze the position and role of stakeholders within the AI ecosystem in Iran's automotive industry. To this end, a list of stakeholders in the AI ecosystem was initially compiled. Subsequently, the position and role of these stakeholders were analyzed. Data regarding the stakeholders' positions were collected using an interest-power matrix, for which a questionnaire comprising 48 items was designed and completed by 36 experts and specialists. Based on the findings, the stakeholders in this ecosystem were categorized at both macro and micro levels and classified into four groups using the interest-power matrix: key stakeholders (with high interest and high power), contextual stakeholders (with high power and low interest), dependent stakeholders (with low power and high interest), and marginal stakeholders (with low power and low interest). The results indicate that governmental institutions, research centers, and automakers are among the key stakeholders, while financial institutions and some suppliers fall into the contextual stakeholder group. End-users, including consumers and drivers, are considered dependent stakeholders, whereas media and some regulatory organizations are categorized as marginal stakeholders. This classification can assist policymakers and industry players in optimizing interactions and fostering the sustainable development of the AI ecosystem in the automotive industry.