The Information Systems & Management (ISM) group conducts research on the transformative potential of digital technology as it pervades modern business, entrepreneurship, and society. Our distinctive research focus is cross-disciplinary, encompassing the interactions between people, organisations and information technologies which are an increasingly important feature of advanced societies.
We have an active group of doctoral students in different stages of their PhD research. Our research agenda reflects its positioning at the interface between conventional studies of IS, organisation studies, and economics and markets, and includes close links with the Gillmore Centre for Financial Technology and the Innovation, Knowledge & Organisational Networks research unit (IKON).
Digital innovation and platforms
Financial technology (FinTech) and artificial intelligence (AI)
Business analytics
We run the highly successful MSc in Information Systems Management & Innovation which has around 70 students. We also offer a portfolio of modules for Undergraduate courses, Postgraduate courses, the MBA, and Executive Education.
Head of group: Professor Joe Nandhakumar.
Kalina Staykova and her colleagues used their studies of MobilePay to create a competition grid advising firms how to defeat multiple rivals online.
To avoid the risks of artificial intelligence, we must understand them. But the technology can remain a force for a good, argues Shweta Singh.
John Colley and Dimitrios Spyridonidis warn that leadership is crucial in uncertain times, but few bosses have experience of coping in a crisis.
Hila Lifshitz-Assaf reveals the lessons after studying how doctors discovered the AI they were using was not as reliable as they thought.
Shweta Singh and her team have been shortlisted for Social Impact Project of the Year at the Women in IT awards.
WBS staff and alumni who have been directly affected by the war in Ukraine share their stories and what they are doing to help.
Stablecoins could be backed by central banks as a short cut to a Central Bank Digital Currency, the Gillmore Centre Policy Forum heard.
Ram Gopal, Professor of Information Systems and Management, reveals how his team has developed a new algorithmic model to hunt down fake reviews.
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