Line of Research: Management, Analysis and Information Technology

Technological change is a fundamental driver of innovation, and the past decade has witnessed a profound transformation marked by substantial advances in Artificial Intelligence (AI) and its organizational applications. Often characterized as an emerging general-purpose technology, AI is distinguished by its fast development, pervasive use and influence across diverse industrial sectors. This course offers a critical examination of the role of AI in shaping innovations at the organizational level, with particular emphasis on its strategic, technological, ethical, economic, and managerial implications. It investigates the conditions underpinning organizational readiness for AI and the processes through which AI technologies are adopted. It further explores the emergence and diffusion of AI-based innovations within firms and ecosystems, and analyzes novel forms of AI-driven entrepreneurship and innovative business models. In addition, students will analyze and discuss the organizational outcomes and implications of AI adoption. These include benefits such as productivity gains, value creation, work redesign, and shifts in competitive and collaborative dynamics, as well as potential risks and dark sides, including algorithmic bias, data privacy risks, workforce displacement, and broader ethical issues. Through the analyses of theoretical frameworks, empirical research and cases, along with the production of an academic paper, the course aims to develop students' critical thinking, analytical skills, and research competences