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.
Ivanova, A., Ng, S., Rungtusanatham, M. and Zhao, X. (2015). "TQM and Environmental Uncertainty Levels: Profiles, Fit, and Firm Performance", International Journal of Production Research, 53(14), 4266-4286.
AbstractThat a manufacturer should align its implementation of Total Quality Management (TQM) to the external environment it faces has been indirectly argued for long. Theoretical and empirical evidence for this argument has, unfortunately, been lacking. Our research remedies this knowledge gap. Borrowing structural contingency theory and the concept of fit, we hypothesised and report three findings. First, we found contrasting normative TQM profiles between a high vs. a low level of environmental uncertainty. Second, we identified significant detrimental impact on firm performance when a firm deviates its TQM implementation from the normative TQM profile prescribed for a specific level of environmental uncertainty. Third, we also discovered discernible differences in the deterioration in firm performance between a positive vs. a negative deviation from the normative TQM profile. These robust findings were derived from analysing secondary survey data from 330 Chinese manufacturing firms via profile deviation analysis, MANOVA, MANCOVA and OLS regression. Contrary to the literature, manufacturers operating in a volatile external environment should pursue and benefit from TQM implementation. Manufacturers should, however, not seek to implement TQM to the fullest extent nor implement TQM half-heartedly. Instead, manufacturers should benchmark best performers as to what the normative TQM profile is and pursue their own TQM implementation to minimise deviations from the normative TQM profile.
Fan, X., Ng, S., Rungtusanatham, M. and Zhao, X. (2014). "TQM and Brand-Building by Chinese Original Equipment Manufacturers: Impact on Business Performance", International Journal of Production Research, 52(3), 825-846.