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
Lassou, P. and Bamber M. (Forthcoming). "The Elite, Corruption, and an Amorality Vortex", Accounting, Organizations and Society.
Matthew Bamber and Pier-Luc Nappert (Forthcoming). "Can we explain managerial non-answers during conference call Q&As?", Contemporary Accounting Research.
Abstract
Management teams often avoid answering questions during conference call question and answer sessions (Q&As). Viewing this as an information asymmetry issue, accounting scholars have suggested that this behavior is ill-advised and that non-answers signal to investors the suppression of bad news. In this article, we demonstrate that this argument lacks nuance. Instead, we argue that answers and non-answers necessarily coexist and are codependent. Our contribution stems from our social interactionist lens, whereby we draw on interdisciplinary perspectives of workplace silence to make sense of our data. We propose three explanations for managerial non-answers, namely that they are used (1) defensively, (2) reflectively, and (3) negotiatively. Despite the seeming complexity, analysts claim they can make sense of what managers are able to say in this forum, and by extension, what they do (or perhaps, can) not. From here, we argue that analysts are socialized to managerial non-answers. Despite this, there is general concern that investors allow an innate fear of “silence” to prejudice their judgment of non-answers. Thus, we highlight a communication gap between management, intermediary, and investor. On the one hand, this implies a source of market inefficiency, but on the other it points toward a source of potential value in sell-side analyst work, specifically, their experience and expertise in social interaction.Yelena Larkin (Forthcoming). "Counterproductive Sustainability Research", Business and Economics Journal.
Hsuan-Che (Brad) Huang, Ruodan Shao, Ann E. Tenbrunsel, Kristina A. Diekmann and Daniel P. Skarlicki (Forthcoming). "The plurality effect: People are more dishonest toward group than individual targets", Journal of Experimental Social Psychology.
Abstract
Prior research on the relationship between group versus individual targets and unethical behavior directed toward those targets is incomplete. Extending this line of research, the present paper examines whether individuals engage in more dishonest behaviors when interacting with a group (vs. an individual). Across six experiments and three supplemental studies (N = 2376), we found that individuals demonstrated more dishonesty toward groups as opposed to individual targets, which we label the plurality effect. This effect was observed across a variety of situations (both low-stakes and high-stakes contexts with real monetary payouts), including when providing advice to others with an incentive to be dishonest, in employment interviews, and in negotiations. Mediation tests revealed that participants experienced lower moral concern when the target was a group versus an individual, and this finding held after testing for alternative explanations. Group membership and collectivism jointly moderated the effect, such that the plurality effect was stronger for targets who are members of the decision makers outgroup (vs. ingroup) among decision makers with high (vs. low) collectivistic values.Fanny Cambier, Peter R. Darke and Ingrid Poncin (Forthcoming). "Promoting crowdsourced new products: Competing co-contributor attractiveness, similarity, and persuasion knowledge processes", Journal of Product Innovation Management.
Abstract
Crowdsourcing has become an increasingly popular way for marketers to conceive of and design new products. Promoting these with “designed by consumers” claims has proven highly effective in boosting innovation appeal and market success. However, beyond the appeal of the perceived similarity between co-contributors and customers (Dahl et al., 2015), little is known about the effectiveness of different communication strategies for crowdsourced products. Central to the current investigation is the crucial creative strategy decision about whether to show the co-contributor in the advertisements and the persuasive role of the co-contributor's level of physical attractiveness. The use of attractive sources is highly prevalent in standard advertisements and is known to have reliable positive effects in persuading consumers (Mello et al., 2020). In contrast, our research suggests that showing attractive co-contributors in advertisements for crowdsourced products undermines their unique appeal and can even backfire. Through a series of qualitative and experimental studies, we found that this effect results from two mechanisms: (1) negative persuasion knowledge, where consumers question whether the attractive source is the genuine co-contributor, and (2) disruption of the similarity appeal that typically makes crowdsourced products well-received. These findings not only advance our understanding of the effectiveness of “designed by consumers” claims but also contribute significantly to the broader communication and persuasion literature. Importantly, our findings provide managers with actionable strategies for maximizing the commercial success of crowdsourced products.Nicole L. Mead, Lawrence E. Williams, Hanieh Naeimi, Yunqian (Fiona) Tian (Forthcoming). "Belief in the Social Contract is a Determinant of Public Policy Support", PNAS Nexus.
Abstract
Public support is necessary for implementing public policies that aim to solve societal challenges such as climate change, unprecedented levels of waste, and the retirement savings gap. However, interventions designed to increase public support seldom work. For this reason, identifying individual differences that determine people’s support for public policies is an important task. Here, we propose that belief in the social contract helps to bridge that gap. Using data from 4,221 respondents from 5 countries across 4 continents (Australia, Canada, South Africa, United Kingdom, United States) we develop a validated measure of people’s belief in the social contract. Using data from 1,555 respondents from those same 5 countries, we find that belief in the social contract predicts support for carbon tax (Studies 1-2), an array of system-level climate policies (Study 2), and public policies spanning 5 issues regardless of policy cost (Study 3). This positive association was unique, predicting support over and above previously identified factors of political ideology, demographics, trust, and social justice orientation. By validating a novel measure of belief in the social contract and showing its predictive value, we offer a new tool for targeting those who are favorably inclined toward costly policies.Carolyn MacTavish, Krista Fiolleau, Errol Osecki and Linda Thorne (Forthcoming). "Technology and its Implication for Staff Auditors", Accounting Horizons.
Francisco Villarroel Ordenes, Grant Packard, Jochen Hartmann and Davide Proserpio (Forthcoming). "Using Traditional Text Analysis and Large Language Models in Service Failure and Recovery", Journal of Service Research.
Abstract
Service failure and recovery (SFR) typically involves one or more people (or machines) talking or writing to each other in a goal-directed conversation. While SFR represents a prime context to understand how language reflects and shapes the service experience, this subfield has only begun to apply text analysis methods and language theories to this context. This tutorial offers a methodological guide for traditional text analysis methods and large language models and suggests some future research paths in SFR. We also provide user-friendly workflow repositories, in Python and KNIME Analytics, that researchers with (and without) coding experience can use. In doing so, we hope to encourage the next wave of text analysis in SFR research.Wang, M.S., Zhang, R., & Voronov, M. (Forthcoming). "Building bridges in the digital age: How online platforms foster trust during a crisis", Organization Studies.
Abstract
Trust has long been studied as a key factor in explaining why an actor is willing to risk vulnerability to others amid uncertainty and potential risks. While various forms and antecedents of trust have been explored, its development between strangers during periods of heightened uncertainty remains underexamined. To address this gap, we conducted a qualitative study of a mutual aid platform launched during the COVID-19 pandemic in China. Our process model identifies three core digital affordances—verifiability, targetability, and protectability—that foster institution-based trust among platform users. Additionally, our findings suggest that institution-based trust acts as a critical precursor to emotional trust. This indicates that digital platforms not only activate impersonal, system-based trust as previously theorized, but also enhance interpersonal and emotional trust. Moreover, we show that positive platform interactions during times of crisis can lead users to extend their trust to a broader range of societal members and social activities beyond platform interactions. Lastly, our study highlights that while uncertainty is essential for trust to emerge, trust building on platforms also depends on the platform provider’s established reputation, which aids trust transfer and facilitates the initial exploration of the platform.Voronov, M., & Jarvis, L. (Forthcoming). "Emotions, Institutions, and Power", Oxford Research Encyclopedia of Business and Management.