Prospective research students
Advancing Knowledge,
Reshaping Practice.
I am interested in rigorous, empirically grounded research into digital innovation and the changes it brings to business.
Current Topics of Interest
Questions worth exploring.
- AI use
- Blockchain innovation
- Professional services in the AI era
I value intellectual curiosity, careful engagement with research and practice, and clear, evidence-based arguments. Prospective students should be self-motivated and committed to rigorous, transparent data collection and analysis.
Research approach
Depth, evidence, and explanation.
My expertise centres on digital innovation, design thinking, and qualitative research. I primarily use case study, grounded theory, and process research, complemented by computational approaches such as event structure modelling and topic modelling.
My theoretical interests include assemblage, affordances, institutional facts, sensemaking, hermeneutics, process philosophy, framing, path theory, embodied cognition, and the thesis of line.
Expression of interest
What to include.
In your email, please include the following:
A practical phenomenon of interest
Describe a real-world phenomenon that motivates your research and aligns with your scholarly interests.
Potential access to data
Explain how you could obtain relevant data and why the project is empirically feasible.
A research proposal
Outline your research question, possible methods, and anticipated outcomes, showing originality and analytical thought.
An analytical review of key readings
Write 800–1,000 words engaging critically with the five readings below and connecting them to your proposal.
School admission requirements
Ensure you meet the formal admission criteria specified by the school. An expression of interest does not replace the formal admissions process.
Key readings
A foundation for the conversation.
- Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). The new organizing logic of digital innovation: An agenda for information systems research. Information Systems Research, 21(4), 724–735. https://doi.org/10.1287/isre.1100.0322
- Henfridsson, O., Nandhakumar, J., Scarbrough, H., & Panourgias, N. (2018). Recombination in the open-ended value landscape of digital innovation. Information and Organization, 28(2), 89–100. https://doi.org/10.1016/j.infoandorg.2018.03.001
- Yoo, Y. (2010). Computing in everyday life: A call for research on experiential computing. MIS Quarterly, 34(2), 213–231. https://doi.org/10.2307/20721425
- Christensen, C. M. (1997). The innovator’s dilemma: When new technologies cause great firms to fail. Harvard Business School Press.
- Verganti, R. (2017). Overcrowded: Designing meaningful products in a world awash with ideas. MIT Press.