Research
AILAS conducts empirical and field-based research in collaboration with academic and industry partners, investigating how socio- technical systems, knowledge infrastructures, and changing workforce dynamics shape the way AI is adopted, governed, and embedded within organisations.
This page brings together our current studies, research focus areas, and previous field engagement.
Research
An Experimental Vignette Study on Retirees’ Willingness to Share Tacit Knowledge
This study examines how different organisational arrangements influence individuals’ willingness to share knowledge after retirement. Using an experimental vignette methodology, participants are presented with structured scenarios describing how organisations may invite them to contribute their expertise post-retirement. ...
Focus areas
Understanding how technology, people, and organisational structures interact
How individuals engage with AI systems in real work environments
How organisations identify, deploy, and scale AI capabilities
Governance, trust, and responsible system design
Workforce transition, retirement dynamics, and organisational change
Capturing, structuring, and activating organisational knowledge
Previous work
Selected collaborations and research activities that have informed AILAS.
Insights collected from industry professionals to understand practical challenges in AI adoption, governance, and implementation. Interviews and structured feedback from organisations and experts across sectors.
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