Research
My research follows generative AI into organisations: how it is interpreted, where it enters operations, who sets the boundaries and how those choices change work.
Organisations do not adopt generative AI in one coherent move. People experiment locally, leaders define guardrails and teams work out where the technology is useful. I study how these interpretations become organisational decisions, routines and performance.
Current focus: the relationship between local experimentation, organisational control and operational value.
AI systems arrive with promises, fears and assumptions already attached. Through qualitative and ethnographic work, I examine how groups develop shared ideas about what AI is, what it should do and how its outputs deserve to be evaluated.
Published in 2026: an ethnographic approach to “AI culture” that moves the analysis beyond individual bias.
Supply chains are shaped by more than efficiency. Geopolitical conflict, climate ambitions and new technologies change how organisations coordinate across borders. I study how actors navigate these competing pressures in practice.
The common thread is organisational choice under uncertainty: how people turn broad external change into concrete action.
Selected outputs
Recent work spans organisation studies, AI in higher education and practical guidance for organisations. The list below is drawn from my CBS Research Portal profile.
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For the complete and authoritative record, visit the CBS Research Portal .
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