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

Chen, Y.S., Goldstein, S.M. and Rungtusanatham, M. (2019). "Historical Supplier Performance and Strategic Relationship Dissolution: Unintentional but Serious Supplier Error as a Moderator", Decision Sciences, 50(6), 1224-1258.

Open Access Download

Keywords
Abstract How and why is the association between historical supplier performance and strategic relationship dissolution moderated by an unintentional but serious supplier error? Adopting Assimilation‐Contrast Theory, we propose that this moderation effect can be either negative or positive. As an empirical test, we collected and analyzed data from 256 sourcing professionals participating in a scenario‐based role‐playing experiment. After confirming experimental checks, we fitted a general linear mixed effects model to the data with appropriate controls. We find, ceteris paribus, that a critical‐component supplier with stellar historical performance is less likely to be terminated by the manufacturer than one with marginally‐acceptable historical performance. However, when a critical‐component supplier with stellar historical performance errs, its likelihood of being terminated by the manufacturer increases by a greater extent than when a supplier with marginally‐acceptable historical performance commits the same mistake. This positive supplier performance penalty effect contributes to the buyer‐supplier relationship dissolution literature by identifying how and why the deterrence to relationship dissolution typically engendered by stellar historical supplier performance does not hold. Our results have implications for how manufacturers should evaluate critical‐component suppliers and how critical‐component suppliers should manage ongoing strategic relationships with manufacturers.

Miller, J.W., Tenhiälä, A. and Rungtusanatham, M. (2018). "ERP System Versus Stand‐Alone Enterprise Applications in the Mitigation of Operational Glitches", Decision Sciences, 49(3), 407-444.

Open Access Download

Keywords
Abstract Business function‐specific stand‐alone enterprise applications (SEAs) are displacing functionally integrated enterprise resource planning (ERP) systems, despite strong empirical support for the business benefits of the latter. This study explores the conditions under which it may be more effective to use a set of SEAs instead of a single‐suite ERP system, and vice versa. Based on Organizational Information Processing Theory, we expect differences in effectiveness to grow in prominence when the uncertainty of the operating environment increases, that is, when operational glitches in production processes become more frequent. Extending the existing literature, we postulate that high functional differentiation is a precondition for SEAs to be more effective than an ERP system, hypothesizing that the level of functional interdependence ultimately determines which type of software is superior for a given production process. We test our hypotheses using data collected from 163 make‐to‐order (MTO) production processes nested within 73 manufacturing plants and seven supply chains of complex, high‐tech machinery. Results show that when functional interdependence is low, the negative effect of operational glitches on delivery performance is effectively mitigated in MTO production processes wherein process‐related information is managed predominantly using SEAs; conversely, when functional interdependence is high, using an ERP system is more effective. Our findings offer practical guidelines as to when to use SEAs versus an ERP system while also integrating and updating the findings of earlier empirical research, in which each has been analyzed separately.