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

Blair, C.W., Elliot, R., Hwang, Y., Money, R.B. and Rungtusanatham, M. (2020). "Managing Critical Spare Parts Supply Within a Buyer-Supplier Dyad: Buyer Preferences for Ownership and Placement", Journal of Business Logistics, 41(2), 111-128.

View Paper

Keywords
Abstract Despite the criticality and expense of spare parts, many firms lack a coherent strategy for ensuring needed supply of spare parts. Moreover, scientific research regarding a comprehensive spare parts strategy is sparse in comparison with direct material. Our research identifies and tests three literature‐based, theoretically anchored attributes that influence a buyer's preference for inventory ownership and inventory placement when managing the stock of a critical spare part. Our findings indicate that item specificity and item supply uncertainty are useful in predicting a buyer's preference for managing the inventory of a critical spare part. Furthermore, we find that buyers have (1) a strong preference for consignment‐based inventory management approaches, (2) a bias against inventory speculation despite its use in practice and analytical models, and (3) a strong preference for inventory postponement when the level of supply uncertainty is low.