Associate Professor Jane Andrew specialises in the relationship between accounting information and public policy. She is often called upon to contribute to discussions of public policy at the State and Federal Government level. Jane has written extensively on public accountability, carbon accounting, immigration detention, prison privatisation and whistleblowing.
In 2016, she released Prison Privatisation in Australia: The State of the Nation (1.1MB, pdf) providing the first comprehensive review of the costs, performance and accountability of Australian private prisons.
Professor John Roberts has substantial senior executive experience and has been extensively published. He is an expert on the nature of ethics in business, corporate governance and accounting in organisational accountability.
John has worked at some of the world's leading business education institutions including London Business Schol, Judge Business School in Cambridge and Manchester University.
Professor Wai Fong Chua AM is internationally known for her research on management accounting as a social and organisational practice. Wai Fong was recognised in 2016 for her outstanding contributions to research, university administration and mentoring and was appointed a Member of the Order of Australia.
Wai Fong is interested in the impact of big data on organisational control and management, the use of immersive technologies by non-government-organisations and charities as an accountability mechanism, and the connection between passionate interests and accounting in organisations and societies.
Professor Stewart Jones has published over 120 scholarly research pieces in the accounting field. He is primary interests are in corporate financial reporting, credit risk and corporate bankruptcy prediction, accounting regulation, and corporate social responsibility reporting.
Stewart's research has directly impacted practice in a number of ways. He developed a sophisticated early warning system that better predicts distress events. He also developed a risk and bankruptcy dataset so that we could improve the responsiveness of credit risk and corporate banking models.