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

Sengupta, Ushnish and Henry M. Kim (2021). "Meeting Changing Customer Requirements in Food and Agriculture Through the Application of Blockchain Technology", Frontiers in Blockchain.

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Abstract This research summarizes the implementation of blockchain technology in the food and agriculture industry in Canada. Our research indicates that blockchain solutions are an existing and proven set of technologies. We also describe how blockchain based supply chain traceability information has many more benefits than its current use for food safety and product recalls. We recommend that costs for development of blockchain based solutions should also be distributed across stakeholders, and apportioned by the relevant industry associations. Our research indicates that adoption of blockchain technology in agriculture will achieve critical mass earlier when the industry applies a consortium approach, in a regulatory environment that is supported by government. This report also makes recommendations relevant to the integration of blockchain for end consumers of food.

Ahmed, F., El Morr, C., Ritvo, P., Othman, N., Moineddin, R., Ashfaq, I., Bohr, Y., Ferrari, M., Fung, A., Hartley, L., Maule, C., Mawani, A., McKenzie, K., Williams, S. (2020). "Effectiveness of an 8-Week Web-Based Mindfulness Virtual Community Intervention for University Students on Symptoms of Stress, Anxiety, and Depression: A Randomized Controlled Trial", JMIR Mental Health, 7(2).

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Abstract Background: A student mental health crisis is increasingly acknowledged and will only intensify with the COVID-19 crisis. Given accessibility of methods with demonstrated efficacy in reducing depression and anxiety (eg, mindfulness meditation and cognitive behavioral therapy [CBT]) and limitations imposed by geographic obstructions and localized expertise, web-based alternatives have become vehicles for scaled-up delivery of benefits at modest cost. Mindfulness Virtual Community (MVC), a web-based program informed by CBT constructs and featuring online videos, discussion forums, and videoconferencing, was developed to target depression, anxiety, and experiences of excess stress among university students. Objective: The aim of this study was to assess the effectiveness of an 8-week web-based mindfulness and CBT program in reducing symptoms of depression, anxiety, and stress (primary outcomes) and increasing mindfulness (secondary outcome) within a randomized controlled trial (RCT) with undergraduate students at a large Canadian university. Methods: An RCT was designed to assess undergraduate students (n=160) who were randomly allocated to a web-based guided mindfulness–CBT condition (n=80) or to a waitlist control (WLC) condition (n=80). The 8-week intervention consisted of a web-based platform comprising (1) 12 video-based modules with psychoeducation on students’ preidentified life challenges and applied mindfulness practice; (2) anonymous peer-to-peer discussion forums; and (3) anonymous, group-based, professionally guided 20-minute live videoconferences. The outcomes (depression, anxiety, stress, and mindfulness) were measured via an online survey at baseline and at 8 weeks postintervention using the Patient Health Questionnaire-9 (PHQ9), the Beck Anxiety Inventory (BAI), the Perceived Stress Scale (PSS), and the Five Facets Mindfulness Questionnaire Short Form (FFMQ-SF). Analyses employed generalized estimation equation methods with AR(1) covariance structures and were adjusted for possible covariates (gender, age, country of birth, ethnicity, English as first language, paid work, unpaid work, relationship status, physical exercise, self-rated health, and access to private mental health counseling). Results: Of the 159 students who provided T1 data, 32 were males and 125 were females with a mean age of 22.55 years. Participants in the MVC (n=79) and WLC (n=80) groups were similar in sociodemographic characteristics at T1 with the exception of gender and weekly hours of unpaid volunteer work. At postintervention follow-up, according to the adjusted comparisons, there were statistically significant between-group reductions in depression scores (β=–2.21, P=.01) and anxiety scores (β=–4.82, P=.006), and a significant increase in mindfulness scores (β=4.84, P=.02) compared with the WLC group. There were no statistically significant differences in perceived stress for MVC (β=.64, P=.48) compared with WLC. Conclusions: With the MVC intervention, there were significantly reduced depression and anxiety symptoms but no significant effect on perceived stress. Online mindfulness interventions can be effective in addressing common mental health conditions among postsecondary populations on a large scale, simultaneously reducing the current burden on traditional counseling services.  

Liu, Y., Chen, S., Bell, C. and Tan, J. (2020). "How Do Power and Status Differ in Predicting Unethical Decisions? A Cross-national Comparison of China and Canada", Journal of Business Ethics, 167(4), 745-760.

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Abstract This study examines the varying roles of power, status, and national culture in unethical decision-making. Most research on unethical behavior in organizations is grounded in Western societies; empirical comparative studies of the antecedents of unethical behavior across nations are rare. The authors conduct this comparative study using scenario studies with four conditions (high power vs. low power × high status vs. low status) in both China and Canada. The results demonstrate that power is positively related to unethical decision-making in both countries. Status has a positive effect on unethical decision-making and facilitates the unethical decisions of Canadian participants who have high power but not Chinese participants who have high power. To explicate participants’ unethical decision-making rationales, the authors ask participants to justify their unethical decisions; the results reveal that Chinese participants are more likely to cite position differences, whereas Canadian participants are more likely to cite work effort and personal abilities. These findings expand theoretical research on the relationship between social hierarchy and unethical decision-making and provide practical insights on unethical behavior in organizations.

Cho, C.H. and Kurpierz, J. (2020). "Stretching the Public Purse: Budgetary Responses to COVID-19 in Canada", Journal of Public Budgeting, Accounting and Financial Management, 32(5), 771-783.

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Abstract Purpose This paper summarizes the emergency measures taken by Canada in response to the COVID-19 pandemic, and discusses the key political, economic, and social factors that influenced the design of these measures. Design/methodology/approach This paper collects the announcement of emergency measures in the Canadian provincial and federal governments between March 18 and May 30, 2020 in response to the COVID-19 pandemic and categorizes them by type of emergency response. Findings Canada has a diversified response of emergency measures mediated by its various provinces. This suggests that Canada may be more robust to biological and economic threats than nations that have less policy diversity. Originality/value Canada's diversity of emergency measures allows for several different avenues for future research, including countercyclical spending by subnational polities, organizational diversity's effect on resilience, the effect of tax breaks versus direct or indirect payments, effectiveness of public-private partnerships, and the effect of transparency on citizen satisfaction.

Cho, C.H., Bohr, K., Choi, T.J., Partridge, K. Shah, J.M. and Swierszcz, A. (2020). "Advancing Sustainability Reporting in Canada: 2019 Report on Progress.", Accounting Perspectives, 19(3), 181-204.

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Abstract This study examines the progress Canada's largest companies are making in their environmental, social, and governance (ESG) disclosures. Given the introduction of the Global Reporting Initiative (GRI) Standards and the United Nations Sustainable Development Goals (UN SDGs) as well as the issuance of the Task Force on Climate‐Related Financial Disclosures (TCFD) recommendations, our research reflects the uptake of these guidance documents by both mature and new reporters. Our analysis suggests that challenges persist—processes and progress often fail to reach investors as they are “lost in translation” when issued through third‐party ESG information providers, and reporters are also pressured to respond to a myriad of requests for information from rating and reporting agencies. Nevertheless, we note that Canada has new reporting sectors that must mature to survive the scrutiny of the markets and also hope that stock markets will respond to the recent announcement by the 181 CEOs of the U.S. Business Roundtable, who committed to lead their companies for the benefit of all stakeholders—customers, employees, suppliers, communities, and shareholders. Overall, we believe that our research will provide food for thought for companies interested in continuous improvement.

Graham, C. and Grisard, C. (2019). "Rich Man, Poor Man, Beggar Man, Thief: Accounting and the Stigma of Poverty", Critical Perspectives on Accounting, 59, 32-51.

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Abstract In this paper, we examine the roles of accounting in two institutions dealing with poverty in Toronto during the 1920s. We draw on Georg Simmel’s influential insights on poverty to explore how accounting for poverty alleviation programs helps structure the relationship between rich and poor in society. We argue that accounting serves to bridge the social distance between rich and poor while insulating the rich from the stigma of the poor. This enables the rich to benefit from their efforts to assist the poor, ensuring the legitimation of wealth and the continued existence of poverty. Our analysis of these two historical institutions helps us comprehend some of the roles of accounting in poverty alleviation today.

Gunalay, Y. and Yeomans, J.S. (2012). "Addressing Unmodelled Objectives and Generating Alternatives in Municipal Solid Waste Management Planning Using a Simulation-Optimization Approach Combined with Niching", Journal of Applied Operational Research, 4(2), 52-68.

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Abstract Public sector decision-making typically involves complex problems that are riddled with incompatible performance objectives and possess competing design requirements which are very difficult-if not impossible-to quantify and capture when supporting decision models need to be constructed. There are invariably unmodelled design issues, not apparent at the time of model creation, which can greatly impact the acceptability of the solutions proposed by the model. Consequently, it is generally preferable to create several quantifiably good alternatives that provide multiple, disparate perspectives and very different approaches to the particular problem. These alternatives should possess near-optimal objective measures with respect to the known modelled objectives, but be fundamentally different from each other in terms of the system structures characterized by their decision variables. By generating a set of very different solutions, it is hoped that some of the dissimilar alternatives can provide very different perspectives that may serve to satisfy the unmodelled objectives. This study shows how simulation-optimization SO modelling can be combined with niching operators to efficiently generate multiple policy alternatives that satisfy required system performance criteria in stochastically uncertain environments and yet are maximally different in the decision space. This new stochastic approach is very computationally efficient, since it permits the simultaneous generation of good solution alternatives in a single computational run of the SO algorithm. The efficacy and efficiency of this modelling-to-generate-alternatives MGA method is specifically demonstrated on a municipal solid waste management facility expansion case.