Research
Our research is positioned at an interface between studies of Information Systems and Innovation, AI/digital technology, and data science. We are committed to developing cutting-edge research that leads debate and deepens our understanding of business and management practices. Our research active faculty holds editorial positions in top-tier academic journals, including MIS Quarterly, Information Systems Research, and Organization Science. The group has an active group of doctoral students (over 15) at various stages of their PhD research.
Analytics
Analytics transforms data into insights, helping organizations make informed decisions. Our research spans descriptive analytics, predictive analytics (AI/machine learning), prescriptive analytics, and decision-making under uncertainty. We specialize in fintech, revenue management, social media, transportation, and healthcare.
FinTech
Fintech is transforming the financial industry through cloud computing, machine learning, blockchain, data science, and AI, driving innovation and automation. Our Fintech research hub fosters interdisciplinary collaboration among academics, startups, and industry professionals to develop insights and innovations.
AI & Digital Innovation
AI and digital innovation are revolutionising industries by automating tasks and unlocking new business models. While generative AI provides powerful tools, it requires strategic approaches for sustainable growth. Our AI & digital innovation research promotes collaboration among academics and industries to drive insights and innovations.