Relevant AOM Divisions/Interest Groups: RM, NEUB, MED, MOC, OMT
This track invites contributions that advance methodological and analytical frontiers in the study of organizations, work, and service ecosystems. We welcome research that strengthens theory-building by innovating research designs, data sources, and analytical logics.
Illustrative Sub-Themes
- Longitudinal, processual, and ethnographic research designs, including real-time fieldwork and historical process tracing.
- Mixed-methods and multimodal analytics, combining qualitative, quantitative, visual, and digital trace data.
- AI-assisted modelling and science mapping, including machine learning, bibliometrics, and computational social science approaches.
- Neuroscientific and physiological measures in organizational research, such as biometrics, affective computing, and embodied cognition.
Indicative Research Questions
- How can complex, dynamic, and multi-level service ecosystems be studied with greater methodological rigour and sensitivity.
- What new forms of data and analytical logics are reshaping knowledge production in management research?
- How can methodological innovation strengthen theory development, not merely technical sophistication?
What ethical, epistemological, and practical challenges accompany emerging research methods?