Heike Bruch is Professor of Leadership at the University of St.Gallen and director of its Institute for Leadership and Human Resource Management. Her research concerns organisational energy, healthy high performance and new forms of leadership and work. She examines how organisations mobilise people’s emotional, cognitive and behavioural resources towards shared goals.
Bruch has held her professorship at St.Gallen since 2001 and the institute’s managing directorship since 2013. Her earlier academic work included research and teaching at the University of Hannover and visiting and research roles at London Business School. This career connects organisational research with executive education and the questions leaders face in practice.
Her research on organisational energy distinguishes intensity from quality. An organisation can be busy without being productively directed; equally, a comfortable atmosphere may conceal a lack of movement. The framework examines productive energy, pleasant energy, resignative inertia and corrosive energy, helping make different collective conditions more discussable than a single engagement score or a general appeal for enthusiasm.
With Sumantra Ghoshal, Bruch wrote A Bias for Action, examining purposeful managerial action and the use of attention and willpower. Her subsequent research extends into leadership, employer attractiveness, demographic management and sustainable performance. Recent St.Gallen discussions of her work address the acceleration trap: the relationship between increasing activity, leadership demands and organisational exhaustion.
For executive audiences, Bruch offers a way to connect the human experience of change with the organisation’s priorities and capacity. A useful brief might concern initiative overload, an apparently engaged workforce that struggles to execute or a leadership team unsure how to sustain performance. Her perspective asks where energy is directed and what leaders should stop, focus or change—not simply how to persuade people to work harder inside an overloaded system.
