نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی کارشناسی ارشد مدیریت فناوری اطلاعات ، دانشگاه شهید بهشتی، تهران، ایران
2 استادیار، گروه سیاست‌گذاری علم و فناوری، پژوهشکده مطالعات بنیادین علم و فناوری، دانشگاه شهید بهشتی، تهران، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Artificial Intelligence (AI) has emerged as one of the most significant transformative technologies in recent years, profoundly impacting various industries. In the oil industry, particularly in the upstream sector, AI has the potential to enhance operational efficiency, improve decision-making, and reduce costs. Given this importance, along with the strategic significance of the oil industry in Iran's economy, this study was conducted to assess the organizational readiness of Iran's upstream oil industry for adopting AI technology.
In this study, a questionnaire was designed based on a selected framework, encompassing five main indicators: strategic alignment, resources, knowledge, culture, and data—each further divided into sub-indicators. These sub-indicators include AI business potential, customer readiness, senior management support, organizational process alignment, financial resources, skilled workforce, IT infrastructure, AI awareness, skill enhancement, AI ethics, innovation, teamwork, change management, data accessibility, data quality, and data flow. The questionnaire was completed by a group of experienced managers and experts in AI and the oil industry.
The results indicate that strategic alignment received the highest score, while the data indicator scored the lowest among the main categories. The findings highlight the necessity of developing strategic programs and strengthening data infrastructure to ensure the successful adoption of AI in the upstream oil sector.
کلیدواژه‌ها [English]
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