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

Allen, T.D., Jang, S., Shen, W. and Zhang, H. (2018). "Societal Individualism-collectivism and Uncertainty Avoidance as Cultural Moderators of Relationships Between Job Resources and Strain", Journal of Organizational Behavior, 39, 507-524.

Open Access Download

Abstract The job demands–resources model is a dominant theoretical framework that describes the influence of job demands and job resources on employee strain. Recent research has highlighted that the effects of job demands on strain vary across cultures, but similar work has not explored whether this is true for job resources. Given that societal characteristics can influence individuals' cognitive structures and, to a lesser extent, values in a culture, we address this gap in the literature and argue that individuals' strain in reaction to job resources may differ across cultures. Specifically, we theorize that the societal cultural dimensions of individualism–collectivism and uncertainty avoidance shape individual‐level job resource–strain relationships, as they dictate which types of resources (i.e., individual vs. group preference‐oriented and uncertainty‐reducing vs. not) are more likely to be valued, used, or effective in combating strain within a culture. Results revealed that societal individualism–collectivism and uncertainty avoidance independently moderated the relationships between certain job resources (i.e., job control, participation in decision making, and clear goals and performance feedback) and strain (i.e., job satisfaction and turnover intentions). This study expands our understanding of the cross‐cultural specificity versus generalizability of the job demands–resources model.

Koh, C.W., Lee, T. and Shen, W. (2016). "Black-White Differences in Job Satisfaction: A Meta-analysis", Journal of Vocational Behavior, 94, 131-143.

View Paper

Abstract Studies examining Black–White mean differences in job satisfaction have provided little clarity regarding whether there are meaningful differences between the two racial/ethnic groups on this job attitude. The present study sought to reconcile prior inconsistent findings via a meta-analytic synthesis of this literature (N = 753,791; K = 63 independent samples from 55 studies) and examined whether moderators explained the observed variability in effects. Using Hedges and Vevea's (1998) random-effects meta-analytic approach, we found that, on average, White workers were slightly more satisfied with their jobs than Black workers (gcorrected = .09; 95% credibility interval = −.21 to .39) and this effect was larger in more nationally representative samples (gcorrected = .24). The substantial true variability around this effect suggests the presence of moderators and the need for caution in interpreting the overall effect as it likely does not generalize across all work settings. Data collection year, geographic location within the U.S., job sector, and measure type were not found to moderate Black–White mean differences in job satisfaction. However, job complexity and sample demographic composition did significantly moderate this relationship. Our results show that the magnitude and direction of Black–White mean differences in job satisfaction are influenced by the context.