Information Technology, Analytics and Operations
The Department of Information Technology, Analytics, & Operations (ITAO) brings together expertise in data science, business analytics, digital innovations, and operations and supply chain management.
We conduct industry-relevant research and help organisations generate business value from digital technologies, make better data-informed decisions, create environmentally sustainable operations, and develop effective supply chain solutions.
We provide excellent research-led teaching to undergraduates, postgraduates and working professionals. Our teaching portfolio covers the application of analytics in core business functions such as marketing and human resources, as well as the development and application of technical skills such as advanced analytics and machine learning and data management.
Queen's Business School has specific expertise in the growing fields of data, analytics, and AI - including cutting-edge academic research expertise, advisory roles and applied practical project experience, and education through our MSc Business Analytics.
The QBS Analytics Lab supports SMEs, government agencies, and social enterprises to leverage business data and analytics to drive innovation, address challenges, and enhance decision making.
Academics within the Department of ITAO contribute regularly to peer-reviewed international conferences and have published original research in competitive scholarly journals including Information Systems Research, Production and Operations Management, Omega, European Journal of Operational Research and the British Journal of Management.
.jpg)
An active community of doctoral students are exploring data science, business analytics, digital innovations, and operations and supply chain management in the Department of ITAO. PhD students benefit from attending courses and tailor-made reading groups, and have access to the School's seminar series, which attracts leading global academics.
Vikram Ramakrishnan is in the final year of his PhD researching the use of advanced analytics to facilitate Industrial Symbiosis in Agri-food networks.
Latest Publications
Advancements in Artificial Intelligence-based prescriptive and cognitive analytics for business performance: a special issue editorial
- Charles Vincent
- Ali Emrouznejad
- Werner Kunz
Advanced fault diagnosis in batteries: insights into fault mechanisms, sensor fusion, and artificial intelligence
- Kailong Liu
- Shiwen Zhao
- Yu Wang
- Kang Li
- Jiayue Wang
- Yaojie Sun
- Qiuwei Wu
- Olivia Peng
A hybrid Fermatean Fuzzy approach based on a novel score function for solid waste management
- Palash Dutta
- Alakananda Konwar
- Rajnish Kumar
- Niladri Palit
Rajiv Banker's lasting impact on data envelopment analysis
- Ali Emrouznejad
- Victor Podinovski
- Charles Vincent
- Chixiao Lu
- Amir Moradi-Motlagh
Enhanced efficiency assessment in manufacturing: leveraging machine learning for improved performance analysis
- Maria D. Guillen
- Charles Vincent
- Juan Aparicio