Knowledge-Based Smart Business

This research stream focuses on supporting businesses to improve their knowledge competencies and capabilities through applied workplace learning and research.

As technology increases its presence within the workplace and, everyday life, there is a growing awareness that businesses and organisations need to be better prepared to exploit sectoral efficiencies and organisational performance that knowledge, when combined with technology, can deliver.

In order to take advantage of the benefits, knowledge-based smart businesses often look to manage all aspects of their operations simultaneously. Current research areas include, but are not limited to, digital finance and marketing, forecasting, data management, blockchain and supply chain, as well as employee and social engagement with technology.

Research stream leader

Professor Andrew O'Loughlin

andrew.oloughlin@federation.edu.au

Name

Expertise

Dr Mehmood Chadhar

Blockchain adoption, enterprise systems, machine learning

Dr Madhu Chetty

Blockchain, machine learning

Associate Professor Sisira Colombage

IT in corporate finance, business intelligence

Dr Sally Firmin

Blockchain adoption

Dr Suryani Lim

Blockchain for energy trading

Dr Daniel Nguyen

Algorithmic trading, financial forecasting, asset pricing

Professor Andrew O'Loughlin (Leader)

IT impact on business and supply chain

Dr Giles Oatley

Big data and analytics

Dr Taiwo Oseni

Enterprise systems, information systems deployment

Associate Professor Paul Pang

Blockchain, applied big-data integration and analytics

Dr Vaughan Reimers

Digital marketing, data analytics

Dr Ben Wills

Blockchain use in businesses

Associate Professor Feng Xia

Data science, knowledge management, social computing

For queries about CSA’s research, or to discuss collaborating or researching with us, get in touch with the Centre Directors via the Contact page.