Intuition in organizations: new research directions

This 15th annual intuition symposium at AoM showcases new research directions in the discipline. The empirical contributions investigate the role of intuition in academic output and organizational forecasting. The conceptual contributions compare and contrast intuition with tacit knowledge and artificial intelligence. Both research streams are bound together through a contribution about a theoretically grounded training method that bears both conceptual and empirical implications. Specifically, Yaakobi et al. investigate the relationship between intuitive vs. analytical cognitive style of scientists and their research output, highlighting the difference between the number of publications and their impact factor, depending on job complexity. Innes illustrates how intuition contributes to individual foresight in organizational context and evaluates the implication for HR management. Culham investigates a non-western view on intuition, used to develop a training method suitable for a western classroom, and introduces a different understanding of intuition from the engineering discipline. Grant explores the similarities and overlaps between tacit knowledge and intuitive expertise, thus further developing the concept and speculating how the distinction might inform the current debate about artificial intelligence (AI). Finally, Bas and Dörfler compare and contrast AI capabilities and intuition functions, as defined by its six necessary features.