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.
Dolbec, P., Fischer, E. and Canniford, R. (2021). "Something Old, Something New: Enabled Theory Building in Qualitative Marketing Research", Marketing Theory, 21(4).
Abstract“Enabled theorizing” is a common practice in marketing scholarship. Nevertheless, this practice has recently been criticized for constraining the creation of novel theory. To advance this conversation, we conduct a grounded analysis of papers that feature enabled theorizing with the aim of describing and analyzing how enabled theorizing is practiced. Our analysis suggests that enabled theorizing marries data with analytical tools and ontological perspectives in ways that advance ongoing conversations in marketing theory and practice, as well as informing policy and methods. Based on interviews with marketing and consumer research scholars who practice enabled theorizing, we explain how researchers use enabling theories to shape research projects, how researchers select enabling lenses, and how they negotiate the review process. We discuss the implications of our analyses for theory-building in our field, and we question the notion of originality in relation to theory more generally.
Lévesque, M. and N. Joglekar (2018). "Guest Editorial: Resource, Routine, Reputation or Regulation Shortages: Can Data- and Analytics-driven Capabilities Inform Tech Entrepreneur Decisions?", IEEE Transactions on Engineering Management, 65(4), 537-544.