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

Harris, E. E., Neely, D. G., and Saxton, G. D. (2021). "Social Media, Signaling, and Donations: Testing the Financial Returns on Nonprofits’ Social Media Investment", Review of Accounting Studies.

Open Access Download

Abstract Social media outlets provide nonprofit organizations the opportunity of opening new communication and disclosure channels. Organizations must decide whether to set up these channels. They – and in turn their target audiences – must also decide how much to use social media. In this study we test a novel multi-level signaling theory framework to examine the relationship between social media investments and financial returns. Employing both cross-sectional and cross-temporal samples of 427 of the largest US non-hospital charities, we look at the association between donations and three dimensions of organizations’ social media efforts: 1) whether the organization has a social media presence, 2) how much the organization uses social media, and 3) the level of engagement of the organization’s audience. The findings support our conjecture that financial returns result from establishing a particular communication channel, from using that channel, and from having channel-specific audience engagement. We also consider how our three social media signaling dimensions condition the core donations demand variables, finding that social media substitutes for traditional fundraising expenditures. These results carry implications for the signaling and donation demand literatures and further our understanding of how these new media are changing the rules of donor engagement.

Neely, D.G. and Saxton, G. (2019). "The Relationship Between Sarbanes–Oxley Policies and Donor Advisories in Nonprofit Organizations", Journal of Business Ethics, 158(2), 333-351.

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Abstract This study examines the impact of Sarbanes–Oxley (SOX) on the nonprofit sector. Focusing on three key SOX policies applicable to charities—conflict-of-interest policies, records retention policies, and whistleblower policies—this study tests the relationship between the existence and addition of these policies on subsequent ethical and governance lapses as reflected in the issuance of “donor advisories” by the large third-party ratings agency Charity Navigator. The findings suggest that, controlling for other relevant organizational factors, the three SOX-inspired written policies are related to a reduced likelihood of donor advisories in the organizations rated by Charity Navigator.

Guo, C., Niyirora, J., Saxton, G. and Waters, R. (2015). "#AdvocatingForChange: The Strategic Use of Hashtags in Social Media Advocacy", Advances in Social Work, 16, 154-169.

Open Access Download

Abstract Social media continues to change how advocacy organizations mobilize, educate, and connect with their constituents. One of the most unique yet understudied tools available on social media platforms is the hashtag. Little research exists on how social work and advocacy organizations use hashtags, much less on how such use can be effective. This study examines the hashtag use by 105 constituent members of the National Health Council, a national US-based patient/health advocacy coalition. The study presents an inductive coding scheme of the types of hashtags employed, analyzes inter-sectoral differences in hashtag usage, and examines the relationship between hashtag use and measures of the effectiveness of social media messages.