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

Ashwin W. Joshi (2023). "The Effects of a Manufacturer’s Actions on Supplier Performance: Insights From a Contingent Expectancy Theory-Based Model", Industrial Marketing Management, 109, 106-120.

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Keywords
Abstract Manufacturing firms deploy two actions to enhance supplier performance: (i) they provide rewards, i.e., incentives, and (ii) they provide resources, i.e., investment. In this study, we ask why each of these actions is effective and when it is more (or less) effective. Drawing from expectancy theory, we argue that incentives are effective in enhancing supplier performance because they increase supplier instrumentality, while investment is effective in enhancing supplier performance because it increases supplier expectancy. Having identified two types of technological change—dynamism and diversity—we draw from contingency theory to argue that incentives are less effective when technological dynamism is high, and that they are more effective when technological diversity is high. Conversely, we argue that investment is more effective when technological dynamism is high, and that it is less effective when technological diversity is high. We develop a moderated mediation model in which supplier instrumentality and supplier expectancy mediate the impacts of incentives and investment, respectively, on supplier performance, with technological dynamism and technological diversity serving as moderators of these mediated pathways. The results from a matched dyadic survey of 202 supplier–manufacturer relationships provide support for our moderated mediation model.