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

Zenkić, J., Kobe Millet, and Nicole L. Mead (2023). "Fairness is Based on Quality, Not Just Quantity", Judgment and Decision Making, 18(e22), 1-10.

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Abstract According to decades of research, whether negotiations succeed depends on how much of the stake each person will get. Yet, real-world stakes often consist of resources that vary on quality, not just quantity. While it may appear obvious that people should reject qualitatively inferior offers, just as they reject quantitatively unequal offers, it is less clear why. Across three incentive-compatible studies (N = 1,303) using the ultimatum game, we evaluate three possible reasons for why people reject qualitatively unequal negotiation offers (that are 50% of the stake): fairness, mere inequality, or badness. Data across the three studies are consistent with the fairness account. Casting doubt on the possibility that people reject qualitatively unequal offers merely because they are ‘bad’, Studies 1 and 2 found that participants were more likely to reject the same coins when these were inferior (e.g., 200 × 5¢ coins) to the negotiation partner’s coins (e.g., 5 × $2 coins) than when both parties received the same undesirable coins (e.g., both received 200 × 5¢ coins). Supporting a fairness explanation, rejection rates of the qualitatively inferior offer were higher when the proposal came from a human (vs. a computer), suggesting that rejection stemmed in part from a desire to punish the negotiation partner for unfair treatment (Study 3). Nevertheless, some participants still rejected the unequal offer from a computer, suggesting that mere inequality matters as well. In sum, the findings highlight that quality, not just quantity, is important for attaining fair negotiation outcomes.

Bell, C., Celani, A. and Tasa, K. (2013). "Goals in Negotiation Revisited: The Impact of Goal Setting and Implicit Negotiation Beliefs", Negotiation and Conflict Management Research, 6(2), 114-132.

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Abstract In two studies, we investigated whether learning goals, which focus attention on task strategies rather than outcomes, affect negotiator behavior and results differently than performance goals. In Study 1, negotiators with learning goals had lower rates of impasse and were judged to be most cooperative. Study 2 replicated these results using a different task and also compared the impact of learning and performance goals to dispositional goal orientation. We found that implicit negotiation beliefs, derived from theories of dispositional goal orientation, were associated with value claiming and interacted with goal type such that the relationship was strongest in the learning goal condition. In addition, negotiators with learning goals developed greater understanding about their counterpart's interests and created more integrative deals. These results show that negotiated outcomes are influenced by both goal type and the extent to which negotiators view their skills as malleable.