Max Chipulu is a research professor of operations and analytics at Edinburgh Napier University. His research focuses on data analytics adoption (including AI) in complex operations management environments, particularly projects, and its intersections with organisational culture, ethics, and sustainability. He is also interested in pedagogy for quantitative business courses, emphasising learning analytics and AI.
He serves as Associate Dean, Research and Innovation for The Business School, lead of the Napier Applied Business Research for Society (NABRS) research group and thematic lead for enterprise data at the Centre for Business Innovations and Sustainable Solutions (CBISS).
Max holds a PhD in Management Sciences and Statistics, an MSc in Management Sciences, and a BEng in Mechanical Engineering, all from the University of Southampton, United Kingdom.
He has published over 80 peer-reviewed articles in reputable international journals such as IEEE Transactions on Engineering Management, Supply Chain Analytics, International Journal of Operations & Production Management, Journal of Business Ethics, International Journal of Forecasting, and others. He also presents at conferences and contributes to research books and reports.
Max contributes regularly and consistently to the peer review process. He is a member of the British Academy of Management Peer Review College and co-chair of the Operations Logistics and Supply Chain Management SIG at British Academy of Management conference; and has guest-edited special issues in several journals. He is a regular ad hoc reviewer for a range of international journals and conferences, including CABS 3/4*, e.g., International Journal of Operations and Production Management, IEEE Transactions on Engineering Management, and Production Planning and Control.
Max regards teaching, learning and the student experience extremely importantly. Recognised as a senior fellow of Advance HE, Max was a two-time nominee of the Vice Chancellor’s Award in the Teaching Innovation category at Southampton (2017 and 2021), and a winner of the Advance HE Collaborative Award for Teaching Excellence (CATE, 2018). He leads core modules in Prescriptive Analytics and the Analytics Final Project within the MSc Business Analytics program. He also teaches undergraduate and professional development courses in Data Analytics and AI adoption.
Research Interests
Data Analytics (particularly prescriptive and predictive modelling and statistical modelling & programming);
Sustainability analytics
Operations Management (particularly projects)
Organisational culture and cultural challenges in business analytics
Business ethics and ethical data use
Teaching and Learning
Max lead the development and validation of the MSc Business Analytics program and currently serves as module lead for SOE11168 Prescriptive Analytics and SOE11170 Analytics Final Project on the program.
ResearcherID
C-2308-2013
Scopus Author ID
23468411600
PhD Supervision Availability
Yes
PhD Topics
Max welcomes research proposals from aspiring PhD students in Operations Analytics, particularly in the following areas:
- Complexity modelling and its impact on projects
- Data analytics for sustainable project/operational outcomes
- Societal impact of data-enabled technologies (esp. AI)
- Ethical and pro-social behaviour in operations (supply chains, mining)
- Cultural influence on performance of operations, analytics, and AI
End hunger, achieve food security and improved nutrition and promote sustainable agriculture
Build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation
Reduce inequality within and among countries
Ensure sustainable consumption and production patterns
Take urgent action to combat climate change and its impacts
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
