Publications Database

Welcome to the new Schulich Peer-Reviewed Publication Database!

The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:

  • Faculty Member’s Name;
  • Area of Expertise;
  • Whether the Publication is Open-Access (free for public download);
  • Journal Name; and
  • Date Range.

At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.

If you have any questions or input, please don’t hesitate to get in touch.

 

Search Results

Massimo Sargiacomo, Jeff Everett, Luca Ianni, Antonio D'Andreamatteo (2024). "Auditing for Fraud and Corruption: A Public-Interest-Based Definition and Analysis", The British Accounting Review, 56(2), 101355.

Open Access Download

Abstract To better understand how the practice of auditing can be more effectively enrolled in the fight against fraud and corruption, this study (1) examines how these problems are viewed and defined by the public and (2) contrasts this view and definition with that of professional auditors. The examination is informed by the dispositive theory of Foucault and an inductive analysis of a large (90,000+) multi-year sample of news stories related to fraud and corruption in the Italian health sector. While auditors define these problems in relatively narrow terms and consign them to ‘a form of risk, a threat to reputation and revenue, and a cost of doing business,’ the study finds that the public has a broader definition and a greater concern with problematic acts and actors ‘in and of themselves’. These findings have important implications for the audit expectations gap and how it might be addressed. The study also provides a useful analytical method for locating and better understanding fraud and corruption in other large, institutional settings.