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
Majid Abdi, Preet S. Aulakh, Zicheng Ma (2024). "Exploratory Search and International Performance: When Do Local Alliances Matter?", Journal of International Marketing, 32(4), 1-20.
Abstract
Firms are often encouraged to collaborate to draw on local partners’ expertise and insider status during internationalization. Appropriateness of alliances during international expansion depends on the type of exploratory search a firm pursues. During internationalization, firms engage with novelty in two distinct, yet often conflated, domains: institutional and product. Firms’ novelty-seeking in these two domains engages homegrown knowledge structures in contrasting capacities, which alters the conduciveness of local partnerships as a mechanism of internationalization. While reliance on local partnerships enhances the performance outcomes of institutional exploration, performance-enhancing product exploration requires internalized governance arrangements. Based on the export operations of firms from three emerging economies, the empirical results support the theorized relationships.Morris S., Carlos, C., Kistruck, G., Lount, R., & Tumsifu, E. (2023). "The Impact of Growth Mindset Training on Entrepreneurial Action Among Necessity Entrepreneurs: Evidence from a Randomized Controlled Trial", Strategic Entrepreneurship Journal, 17(3), 671–692.
Abstract
Although entrepreneurship training programs are designed to help necessity entrepreneurs acquire skills and capabilities to take entrepreneurial action, participants in these programs often fail to do so. In partnership with a local government agency, we conducted a randomized field experiment involving 165 entrepreneurs in rural Tanzania where in addition to providing technical-skills training, approximately half of the participants also received “growth mindset” psychological training. Those who received the growth mindset training displayed more entrepreneurial action in their business than those in the control group. Importantly, higher levels of entrepreneurial self-efficacy mediated the positive impact on entrepreneurial action displayed by participants who received the growth mindset training. We discuss how complementing traditional technical-based training with growth mindset training can improve the efficacy of entrepreneurship training programs. Managerial Summary Entrepreneurship training programs often fall short in translating knowledge into action. To address this issue, we conducted an experiment with 165 entrepreneurs in rural Tanzania. All participants received technical-skills training, but half were also exposed to “growth mindset” training. Those who received the growth mindset training displayed greater initiative in business growth. The newfound confidence and grit they gained empowered them to apply learned principles effectively, ultimately enhancing the effectiveness of entrepreneurship training programs.Bai, X., Fang, X., Li, Z. and Sheng, O. (2017). "Utility-Based Link Recommendation for Online Social Networks", Management Science, 63(6), 1938-1952.
Keywords
Abstract
Link recommendation, which suggests links to connect currently unlinked users, is a key functionality offered by major online social networks. Salient examples of link recommendation include “People You May Know” on Facebook and LinkedIn as well as “You May Know” on Google+. The main stakeholders of an online social network include users (e.g., Facebook users) who use the network to socialize with other users and an operator (e.g., Facebook Inc.) that establishes and operates the network for its own benefit (e.g., revenue). Existing link recommendation methods recommend links that are likely to be established by users but overlook the benefit a recommended link could bring to an operator. To address this gap, we define the utility of recommending a link and formulate a new research problem—the utility-based link recommendation problem. We then propose a novel utility-based link recommendation method that recommends links based on the value, cost, and linkage likelihood of a link, in contrast to existing link recommendation methods that focus solely on linkage likelihood. Specifically, our method models the dependency relationship between the value, cost, linkage likelihood, and utility-based link recommendation decision using a Bayesian network; predicts the probability of recommending a link with the Bayesian network; and recommends links with the highest probabilities. Using data obtained from a major U.S. online social network, we demonstrate significant performance improvement achieved by our method compared with prevalent link recommendation methods from representative prior research.Johnston, D., Knoppen, D. and Sáenz, M. (2015). "Supply Chain Relationships as a Context for Learning Leading to Innovation", International Journal of Logistics Management, 26(3), 543-567.