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

Lili Dai, Rui Dai, Lilian Ng, Zihang Peng (2024). "Global Outsourcing and Voluntary Disclosure", Journal of Business Finance & Accounting, 51(3-4), 846–879.

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Keywords
Abstract Reliance on global outsourcing has become an economic imperative for many major corporations worldwide, but at the same time, it has brought substantial risks and complexities to these firms. This study employs novel international supply chain data to examine whether global outsourcing of goods or services shapes US corporate disclosure policies. Our main results suggest a negative impact of global outsourcing exposure on voluntary disclosure, and several identification tests further support this baseline evidence. We find that the adverse effect on disclosure is more pronounced when institutional differences are more significant between the United States and foreign suppliers' countries and when US firms face higher litigation risks. However, the effect weakens when investors and stakeholders demand more information. Collectively, our study provides new insights into the economic implications of outsourcing globally from an information disclosure perspective.

Day, J., Kristal, M., Pathak, S. and Sawaya, W. (2015). "Sensing Abnormal Resource Flow Using Adaptive Limit Process Charts in a Complex Supply Network", Decision Sciences, 46(5), 961–979.

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Keywords
Abstract Supply networks are becoming increasingly complex with multiple overlapping relationships between firms that may span across industries. Consequently, inventory management is becoming more difficult as managers have to cope with variability in the supply flows that originate from different parts of the network. Managers that quickly sense abnormal flows may intervene and adapt their inventory policies in response to system changes. In this article, we present a framework for sensing abnormal flows originating within the upstream supply network of a focal organization. Our framework combines time series modeling with process charts to identify abnormal flow patterns in the incoming supply streams. It is a flexible framework that uses off‐the‐shelf technology to provide managers with a process that can be employed for monitoring multiple individual or aggregated data streams originating within any complex system such as complex adaptive supply networks. We illustrate our framework on four years of longitudinal supply data from the second largest food bank in the United States. We identify multiple instances of abnormal supply flows and validate our results through rigorous inventory analysis as well as field‐based expert interviews. We discuss the implications of our findings for inventory management in complex supply networks, both from academic and practitioner points of view.