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

Saurabh, A., S. Ramaswami, J. Blackhurst, and M. Rungtusanatham (Forthcoming). "Supply Chain Disruption Risk: An Unintended Consequence of Product Innovation", International Journal of Production Research.

Schwieterman, M., M. Rungtusanatham, T. Goldsby, W.C. Benton, M.C. Cooper, and E. Andiç-Morton (Forthcoming). "Supply Chain Integration for Middle-Market Firms: A Qualitative Investigation", International Journal of Logistics Management.

Subramanian, A., Lévesque, M. and V. van de Vrande. (Forthcoming). "Are Biopharma Firms Discontinuing Doomed Drug Discovery Projects Fast Enough?", Production and Operations Management.

Liu, A. and M. Lévesque. (Forthcoming). "Interorganizational Knowledge Flows in Academia-Industry Collaboration: The Economic Impacts of Science-Based Firm Innovation?", IEEE Transactions on Engineering Management.

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Abstract We investigate the double-edged impacts of interorganizational knowledge flows in academia–industry collaboration on the innovation economic impacts of science-based firms. When a firm receives knowledge directly from more research institutes, its innovation economic impact improves subsequently. In contrast, when a firm receives knowledge indirectly from other firms through a research institute, its innovation economic impact declines subsequently. We also explore the moderation effects of firm technological originality and generality. We report empirical findings from a panel data of science-based firms in the United States. Our analysis yields theoretical implications for academia–industry collaborations in the science-based entrepreneurship literature and practical implications for management practitioners and policymakers in science-based firm creation and development.

Keyhani, M., Deutsch, Y., Madhok, A. and M. Lévesque (Forthcoming). "Exploration-Exploitation and Acquisition Likelihood in New Ventures", Small Business Economic.

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Abstract The market for acquisitions has been a blind spot in exploration-exploitation research in the new venture context. The introduction of the acquisition exit outcome as a performance dimension for new ventures, especially among high-tech ventures, shifts the traditional temporal logic of exploration-exploitation theory by introducing previously unacknowledged short-term benefits of exploration. We bring the acquisition outcome into the picture and investigate the relationship between the exploration-exploitation continuum and profitability, survival, and acquisition likelihood simultaneously. Using the Kauffman Firm Survey data, we provide evidence for a link between exploration and the likelihood of acquisition (defined as the business being sold to or merged with another business), although industry technology level poses a boundary condition such that the association is not observed in low- and medium-technology firms. An inverse U-shaped relationship that is monotone negative for most of the data range was found between exploration and the profitability of low- and medium-tech firms, and a negatively linear relationship was found for exploration and the profitability of high-tech firms. Our findings lend some support to the viability of “born to flip” strategies involving comparatively higher exploration levels in high-tech start-ups and sacrifice of short-term profitability.

Lévesque, M., Obschonka, M. and S. Nambisan (Forthcoming). "Pursuing Impactful Entrepreneurship Research Using Artificial Intelligence", Entrepreneurship Theory and Practice.

Open Access Download

Abstract It is time for the entrepreneurship field to come to terms with leading-edge artificial intelligence (AI). AI holds great promise to transform entrepreneurship into a more relevant and impactful field, but it must overcome conflicts between the AI-driven research approach and that of the traditional, theory-based research process. We explore these opportunities and challenges and suggest concrete approaches that entrepreneurship researchers can use to harness the power of AI with rigor and enhance research relevance. We conclude that incorporating the power of AI in entrepreneurship research and managing the associated risks offer a new and “grand challenge” for the field.

Shao, R., He, L., Chang, C. H., Wang, M., *Baker, N., Pan, J. and Jin, Y. (Forthcoming). "Employees’ Reactions Towards COVID-19 Information Exposure: Insights From Terror Management Theory and Generativity Theory", Journal of Applied Psychology.

Onder, O., Cook, W., Kristal, M.M. (Forthcoming). "Does Quality Help the Financial Viability of Hospitals? A Data Envelopment Analysis Approach", Socio-Economic Planning Sciences.

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Abstract In this work, we analyze the financial viability of U.S. hospitals by investigating the impact of clinical and experiential quality as its determinants. We adopt Simar and Wilson's two-stage bootstrapped truncated regression approach. Specifically, we use data envelopment analysis (DEA) in the first stage to estimate efficiency scores. Then, we use truncated regression estimation with the double-bootstrap method to test the significance of the quality variables. Given the financial problems recently experienced by U.S. hospitals, we use readmission rates and costs as our outputs to investigate how well hospitals can lower readmission rates while minimizing their costs, since recent policy changes have tied a portion of hospital reimbursements to their readmission rates, making both variables crucial outcome goals. We find that both clinical and experiential quality are significantly associated with the higher financial viability of hospitals. Further, focusing on these two quality dimensions together has additional benefits.

Colbourne, R., Henriques, I. Peredo, A. M., Schneider, B. and Anderson, R. (Forthcoming). "Indigenous Economic Development", Oxford Bibliographies in Anthropology.

Voronov, M., Glynn, M.A., and Weber, K. (Forthcoming). "Under the Radar: Institutional Drift and Non-Strategic Institutional Change", Journal of Management Studies.