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

Bamber, M., Elshandidy, T., Omara, H. (2024). "Across the Faultlines: A Multi-Dimensional Index to Measure and Assess Board Diversity", International Review of Financial Analysis, 93, 103231.

Open Access Download

Keywords
Abstract Drawing on faultline theory, this article proposes a multidimensional diversity index (MDI) to measure and assess board diversity. Herein, we contest that diversity needs to be considered across multiple dimensions, or faultlines. Based on the FTSE all-share non-financial firms (2005–2018), the proposed MDI captures the joint effect of differences in director attributes across four faultlines (surface, identity, demographic, and meso-level). After constructing our MDI, we examine how shifts in diversity impact firm risk. Our analysis indicates that moderate levels of diversification (between 0.25 and 0.75) are both typical across our sample and reduce riskiness. At extreme levels of diversification, however, we find that risk increases. We perform further analysis that supports these findings while also showing that, regardless of whether boards are moderately or extremely diversified, their faultline scores are significantly correlated with industry competition and financial risk.