Portrait of Menghan Cui

Menghan Cui

Research Student

Bayes Business School

Contact

About

Overview

Menghan Cui is an ethnographer of work and technology whose research examines how professional expertise, occupational identities, and organisational life evolve amid technological change. She recently completed her PhD at Bayes Business School and is currently a UKRI-funded Postdoctoral Research Fellow at the UCL School of Management, where she collaborates with Dr Angela Aristidou and partners including the Stanford Digital Economy Lab, and the Alan Turing Institute, alongside a wider network of academic, policy, and industry partners.

Her doctoral thesis, Navigating the Dawn of Organisational AI: Data Professionals and the Making of Emergent Expertise, draws on 18 months of ethnographic fieldwork, interviews, and a decade of archival data to examine how new roles and forms of expertise emerge amid technological change. This research is being developed into papers for leading management journals, addressing AI implementation, the boundaries of expert work, and workforce reconfiguration under automation.

Before academia, Menghan was a management consultant at KPMG China, advising Fortune Global 500 companies entering and scaling within the healthcare sector. She has presented at the Academy of Management and EGOS, and her collaborative research on AI in NHS radiology is published in Frontiers in Digital Health. She is an Associate Fellow of Higher Education Academy. 

Qualifications

  • Associate Fellow, Higher Education Academy, United Kingdom
  • PhD, City, University of London, United Kingdom
  • MSc Management, University College London, United Kingdom
  • BA Translation, Beihang University, China

Employment

  • Graduate Teaching Assistant, City, University London, United Kingdom, September 2020 - present
  • Management Consultant, KPMG China, February 2018 - July 2019

Fellowships

  • UKRI research fellow, UCL School of Management, October 2025 - present

Memberships of professional organisations

  • Academy of Management, January 2021 - present

Languages

Chinese (Mandarin) (can read, write, speak, understand spoken, peer review) and English (can read, write, speak, understand spoken, peer review)

Expertise

Primary topics

  • Organization Theory
  • Technology Management
  • Organizational Behaviour

Industries

  • Data strategy
  • AI strategy
  • Healthcare
  • Management Consulting

Geographic Areas

  • Asia
  • Europe
  • Americas - North

Research students

1stsupervisor

2ndsupervisor

Publications

Conference papers and proceedings (4)

  1. Cui, M., Nigam, A. and Banerjee, A. Dual-Position Brokerage in Organizational Jurisdiction - The Case of Data Professionals. .doi:10.5465/amproc.2025.22478abstract
  2. Cui, M., Nigam, A. and Banerjee, A. “How do nascent occupations address the misalignment between public and workplace jurisdiction: Insights from data professionals across organisations”. .
  3. Cui, M. and Nigam, A. “When Does Work Become Expert Work? Recognition, Disowned Emergent Work, and Occupational (Non-)Emergence ". 42nd EGOS online Colloquium, Bergamo 2026.
  4. Cui, M., Aristidou, A., Pollock, N., Ozcan, P., Waardenburg, L. and Spencer, B. Tracing Emergence Beyond the Hype: Theorizing Data-driven Technologies through Qualitative Approaches. 86th Annual Meeting of the Academy of Management.

Journal article