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.
Kozlova, M. and Yeomans, J.S. (Forthcoming). "Extending Simulation Decomposition Analysis into Systemic Risk Planning for Domino-Like Cascading Effects in Environmental Systems", Journal of Environmental Informatics Letters .
AbstractIn interconnected environmental systems, the innocuous failure of one component can sometimes trigger a subsequent domino-like effect resulting in a cascading collapse of the entire system. Risk analysis in “real world” contexts frequently requires the need to simultaneously contrast numerous uncertain factors and difficult-to-capture dimensions. Monte Carlo simulation modelling has often been employed to integrate uncertain inputs and to construct probability distributions of the resulting outputs. Visual analytics and data visualization can be used to support the processing, analyzing, and communicating of the influence of multi-variable uncertainties on the decision-making process. In this paper, the novel Simulation Decomposition (SimDec) analytical technique is extended into complex assessments of cascading risk analysis and used to quantitatively examine situations involving potentially catastrophic, domino-like collapses of an entire system. SimDec analysis proves to be beneficial due to its ability to reveal interdependencies in complex models, its ease of decision-maker perception, its visualizable analytic capabilities, and its significantly lower computational burdens. The case example visually demonstrates that when a system collapse is a low-probability/high-impact event, more expensive, reactive policies minimize the overall value loss under conditions of system survival, while more proactive policies enable better loss prevention under system survival. However, proactive approaches significantly decrease the likelihoods and magnitudes of losses for scenarios resulting from the collapse of the system. Such findings would not have been revealed without the visualization provided by SimDec.
Pan, M., A. Chandrasekaran, J. Hill, and M. Rungtusanatham (Forthcoming). "Multi-Disciplinary Project Success in Small Firms: The Role of Multi-Project and Project Management Experience", Production and Operations Management.
Cho, C.H., Kajüter, P. and Stacchezzini, R. (Forthcoming). "The Future of Corporate Reporting", Accounting in Europe, 19(1).
S. Buchanan, C. Zietsma, D. Matten (Forthcoming). "Settlement Constellations and the Dynamics of Fields Formed Around Social and Environmental Issues", Organization Science.
Charles McMillan with Junyi Yang (Forthcoming). "Prometheus Unbound: Enhancing The Future of Hong Kong As a Global Financial Center", International Organization.
Charles McMillan with George Stalk (Forthcoming). "Deep Collaboration – Attaining Unassailable Competitive Advantage", Journal of Organizational Design.
King, D.D., Lyons, B.J. and Phetmisy, C. (Forthcoming). "Perceived Resiliency: The Influence of Resilience Narratives on Attribution Processes in Selection", Journal of Vocational Behavior, Vol 131.
AbstractResilience narratives (stories of encountering and overcoming adversity) are often solicited in pre-interview (e.g., application) and interview selection contexts. In this work, we examine the effectiveness of resilience narratives in pre-interview and interview selection contexts where applicants share personal narratives about themselves. Drawing on Attribution Theory (Heider, 1958; Kelley, 1967) we make hypotheses about how perceived resiliency is shaped by resilience narratives and how this perception influences the hiring recommendations and emotional reactions of organizational decision-makers. Specifically, we examine the effects of two key elements of resilience narratives (locus of adversity and locus of support) on attribution processes and decision-making. To test the hypothesized model, we conducted a set of in-depth interviews and three experiments. Preliminary interview data demonstrated that hiring personnel consciously seek to assess perceived resiliency and resilience narrative loci in selection. In Study 1 we tested proposed effects with 178 working adults in a university application pre-interview context, Study 2 included a parallel experiment in an organizational interview context with 194 participants who had hiring experience, and Study 3 involved quantitative experimental assessments of job interviewees conducted with 124 working adults with hiring experience. Across two selection contexts (pre-interview applications, interviews) and three samples, results revealed that: (a) resilience narrative loci affect perceived trait resiliency attributions formed about applicants, and (b) perceived resiliency directly relates to emotional reactions and hiring recommendations, incrementally beyond competence perceptions. We detail theoretical and practical implications for the extension of Attribution Theory by integrating resilience narratives, perceived resiliency, and selection processes.
Devine, A. and Yonder, E. (Forthcoming). "How Environmental Investment Impacts Firm Performance: Decomposing Valuation and Cash Flow Effects", Real Estate Finance and Economics .
Ting Cao, Wade Cook, Murat Kristal (Forthcoming). "Has the Technological Investment Been Worth It? Assessing the Aggregate Efficiency of Non-Homogeneous Bank Holding Companies in the Digital Age", Technological Forecasting and Social Change.
Using panel data from 2010 to 2016, this study investigates how well banking institutions perform in investing in digital technologies and utilizing their resources in the digital age. A conventional data envelopment (DEA) analysis model is first applied, followed by a Malmquist index analysis. Results suggest that bank holding companies (BHCs) have failed to benefit from technological progress due to inefficient resource management. As such, we propose a novel resource-allocation model to address the issues, particularly allowing non-homogeneous BHCs to be compared with their true peers and highlighting practical insights into the allocation and reallocation of shared resources. Aggregate efficiency scores are measured and then regressed against selected explanatory variables. The empirical findings indicate that BHCs should strengthen their innovation capabilities and improve their diversification levels to gain better performance in utilizing resources. The results also offer novel managerial implications for collaboration with financial technology (FinTech) firms. Specifically, the explanatory variable, partnership, is shown to have a moderating effect on the relationship between the size and aggregate efficiency of BHCs. Larger BHCs could benefit from collaborating with FinTech, while smaller BHCs appear to be better off acting alone.
Lévesque, M. and A. Subramanian (Forthcoming). "Invited Article: Family Firm Succession Through the Lens of Technology Intelligence", Journal of Family Business Strategy.