Research

Research interests #

I study how digital and AI technologies change organizations and the people inside them. The work splits into two questions.

The first is how small and medium-sized enterprises can actually pull off digital and AI transformation. Most SMEs have limited resources, low digital maturity, and not much patience for theory that doesn’t translate into something they can run on a Tuesday. I work on accessible, practical approaches that fit those constraints.

The second is what happens when generative AI starts simulating personhood: empathy it doesn’t feel, care it can’t return, encouragement it has no stake in. That covers anthropomorphism, synthetic emotions, and the ethics of AI systems that adapt their persuasion in real time to whatever a user reveals. The interesting questions are about trust, autonomy, and the asymmetry that opens up when an AI is allowed to be emotionally fluent and the user is not.

Both streams come back to the same thing: how new technology actually lands in human and organizational settings, and who pays when the design gets it wrong.

Current projects #

AI transformation for SMEs #

My SME research runs as an open-source project. The point is to give small and medium-sized enterprises a way to approach digital and AI transformation that fits their reality: limited resources, low digital maturity, and not much idea of where to begin.

The work asks what these organizations actually need to learn, how technology choices can be made without specialist headcount, and what a transformation path looks like when it has to be cheap to run and easy to course-correct.

Publications & patents #

For the complete list of published papers, book chapters, and patents, see the Publications page.

You can also browse my full record on Google Scholar or ORCID 0009-0009-9965-4269.