Introduction
In today’s organizations, algorithms play a transformative role in decision-making, influencing workflows and employee experiences. This course equips students with the theoretical and practical tools to understand, evaluate, and innovate within the rapidly evolving field of technology-driven decision-making. Students will explore how decision support systems reshape organizational processes and employee outcomes, using a multi-level perspective that includes individual, team, and organizational contexts. At the individual level, students will analyze the impact of algorithmic decisions on employee motivation, performance, and meaningfulness of work. At the team level, they will evaluate how collaborative decision-making with algorithms affects team dynamics and outcomes. At the organizational level, students will explore the opportunities and challenges of becoming data-driven, including the integration of decision support tools in organizational decision making processes.
By the end of the course, students will have gained advanced knowledge of organizational psychology and leadership theories in the context of intelligent decision-making systems. They will develop critical skills to analyze and evaluate these systems, propose innovative frameworks for their implementation, and demonstrate competence in leading organizations through data-driven transformations.