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.
Shiu-Yik Au, Ming Dong, and Xinyao Zhou (Forthcoming). "Does Social Interaction Spread Fear among Institutional Investors? Evidence from COVID-19", Management Science.
AbstractWe study how social connectedness affected mutual fund manager trading behavior in the first half of 2020. In the first quarter during which the COVID outbreak occurred, fund managers located in or socially connected to COVID hotspots sold more stock holdings compared to a control group of unconnected managers. The economic impact of social connectedness on stock holdings was comparable to that of COVID hotspots and was elevated among “epicenter” stocks most susceptible to the pandemic shock. In the second quarter, social interaction had an overall negative effect on fund performance, but this effect depended on manager skill; unskilled managers who were connected to the hotspots underperformed, while skillful managers suffered no deleterious effect. Our evidence suggests that social connections can intensify salience bias for all but the most skilled institutional investors, and policy makers should be wary of the destabilizing role of social networks during market downturns.
Li, Y., Pan, Y., Tian, L., Tse, C. and Xiang, X. (2021). "Social Movements and International Business Activities of Firms", Journal of International Business Studies, 52, 1200-1214.
AbstractWe examine social movements that arise from tensions between countries. From a neo-institutional view, we posit that social movements targeting another country generate powerful pressures on firms doing business with the targeted country. Although informal and non-governmental, these pressures may coerce firms into curtailing their business activities with the targeted country. Empirically, we analyzed the 2012 anti-Japanese social movement in China using a panel dataset of Chinese-listed firms from 2006 to 2017. Through a quasi-experimental design and difference-in-difference method, we found that this social movement was associated with a significant reduction in Chinese firms’ import from Japan, as well as export and FDI activities. Furthermore, we found that animosity against the targeted country and firms’ network connectivity exacerbated this effect, while firms’ political capital weakened it. We also found that the impact of this social movement existed for four years after the movement subsided. We contribute by showing that social movements have significant impacts on firms’ international business activities. Firms need to pay attention to informal pressures from social movements, and proactively adapt their cross-border business activities. In today’s digital era, opinions and sentiments can quickly snowball into massive collective forces in the virtual and actual worlds.
Guo, C. and Saxton, G. (2020). "Social Media Capital: Conceptualizing the Nature, Acquisition, and Expenditure of Social Media-Based Organizational Resources", International Journal of Accounting Information Systems, 36, 100443.
AbstractThe near-universal organizational participation in social media is predicated on the belief there are some tangible or intangible new resources to be had through tweeting, pinning, posting, friending, and sharing. We argue the linchpin of any payoff from engagement in social media is a special form of social capital we refer to as social media capital, and offer a conceptual framework for understanding its nature, acquisition, and expenditure. This paper contributes to existing literature by elaborating a new type of organizational resource and then synthesizing and extending research on the processes through which organizations can translate social media efforts into meaningful organizational outcomes. Understanding this causal chain is critical not only for measuring the return on investment from social media use but also for developing accounting information systems that are both adaptable to social resources and better able to exploit the data analytic and forecasting capabilities of real-time social media data.
Brown, D.J., Hanig, S., Kwok, N. and Shen, W. (2018). "How Leader Role Identity Influences the Process of Leader Emergence: A Social Network Analysis", The Leadership Quarterly, 29, 648-662.
AbstractContemporary theories on leadership development emphasize the importance of having a leader identity in building leadership skills and functioning effectively as leaders. We build on this approach by unpacking the role leader identity plays in the leader emergence process. Taking the perspective that leadership is a dynamic social process between group members, we propose a social network-based process model whereby leader role identity predicts network centrality (i.e., betweenness and indegree), which then contributes to leader emergence. We test our model using a sample of 88 cadets participating in a leadership development training course. In support of our model, cadets who possess a stronger leader role identity at the beginning of the course were more likely to emerge as leaders. However this relationship was only mediated by one form of network centrality, indegree centrality, reflecting one's ability to build relationships within one's group. Implications for research and practice are discussed.
Chen, W. and Tan, J. (2015). "Minding the Gender Gap: Social Network and Internet Correlates of Business Performance among Chinese Immigrant Entrepreneurs", American Behavioral Scientist, 59(8), 977-991.
AbstractExisting studies have been inconclusive on whether and the extent to which gendered social networks contribute to the gender gap in business performance. Drawing on a random sample of Chinese Canadian entrepreneurs, this research examines the nexus of social networks, Internet use, and the gender gap in business performance. Results reveal a marked gender difference in firm size, which becomes narrowed after social networks, voluntary association participation, Internet use, and business characteristics are controlled. More important, network composition and structural position have different implications for men and women entrepreneurs. Men are more effective in converting relational advantages into business advantages. Interaction effects suggest that kin homophily hurts women’s business performance but not men’s. Yet, women gain more from participating in transnational entrepreneurship.
Marchanda, P., Packard, G. and Pattabhiramaiah, A. (2015). "Social Dollars: The Economic Impact of Consumer Participation in a Firm-Sponsored Online Customer Community", Marketing Science, 34(3), 367-387.
AbstractMany firms operate customer communities online. This is motivated by the belief that customers who join the community become more engaged with the firm and/or its products, and as a result, increase their economic activity with the firm. We describe this potential economic benefit as “social dollars.” This paper contributes evidence for the existence and source of social dollars using data from a multichannel entertainment products retailer that launched a customer community online. We find a significant increase in customer expenditures attributable to customers joining the firm’s community. While self-selection is a concern with field data, we rule out multiple alternative explanations. Social dollars persist over the time period observed and arose primarily in the online channel. To assess the source of the social dollar, we hypothesize and test whether it is moderated by participation behaviors conceptually linked to common attributes of customer communities. Our results reveal that posters (versus lurkers) of community content and those with more (versus fewer) social ties in the community generated more (fewer) social dollars. We found a null effect for our measure of the informational advantage expected to accrue to products that differentially benefit from content posted by like-minded community members. This overall pattern of results suggests a stronger social than informational source of economic benefits for firm operators of customer communities. Several implications for firms considering investments in and/or managing online customer communities are discussed.
Fang, X., Hu, P., Li, Z. and Tsai, W. (2013). "Predicting Adoption Probabilities in Social Networks", Information Systems Research, 24(1).
AbstractIn a social network, adoption probability refers to the probability that a social entity will adopt a product, service, or opinion in the foreseeable future. Such probabilities are central to fundamental issues in social network analysis, including the influence maximization problem. In practice, adoption probabilities have significant implications for applications ranging from social network-based target marketing to political campaigns; yet, predicting adoption probabilities has not received sufficient research attention. Building on relevant social network theories, we identify and operationalize key factors that affect adoption decisions: social influence, structural equivalence, entity similarity, and confounding factors. We then develop the locally-weighted expectation-maximization method for Naïve Bayesian learning to predict adoption probabilities on the basis of these factors. The principal challenge addressed in this study is how to predict adoption probabilities in the presence of confounding factors that are generally unobserved. Using data from two large-scale social networks, we demonstrate the effectiveness of the proposed method. The empirical results also suggest that cascade methods primarily using social influence to predict adoption probabilities offer limited predictive power, and that confounding factors are critical to adoption probability predictions.
Lyons, B, and Scott, B.A. (2012). "Integrating Social Exchange and Emotion Centered Explanations for the Receipt of Help and Harm: A Social Network Approach", Organizational Behavior and Human Decision Processes, 117, 66-79.