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

Justin Tan, Yuanjing Guo, Shuxin Zhong (2026). "Greedy or Desperate? Performance Feedback and App Data Misconduct", Journal of Management Science and Engineering, 11(1), 149–168.

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Keywords
Abstract In the digital economy, personal data has materialized as new assets that not only engender value for organizations but also render them susceptible to security risks. Instances of unauthorized user information exploitation by mobile applications for economic benefits have become conventional, and outperforming apps are no exception. What is the motivation for app data misconduct? Based on the behavioral theory, we discuss the performance motivation of app data misconduct and find that performance feedback intensity, regardless of whether it is positive or negative, can motivate apps to take such deviant risks. Furthermore, we scrutinize the roles of app user scale, category competition, and regional legal development in shaping data misconduct decisions. Using a sample of apps operating in China's domestic market, we empirically substantiate these arguments and contribute insights that bear both theoretical significance and pragmatic pertinence in the spheres of behavioral theory, organizational misconduct and corporate data responsibility.

Bin Chen, Yue Zhang, Chris M. Bell, (2025). "Economic Growth Target Setting Under Environmental Constraints: A Spatial Autoregressive Model Analysis of Chinese Prefectures", Journal of Environmental Management, 376, 124473.

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Keywords
Abstract
We collected data on environmental protection and economic growth targets in Chinese prefectures during the 11th, 12th, and 13th Five-Year Plan periods and applied spatial autoregressive models to investigate the impact of mandatory environmental targets on local governments' economic growth targets. We found that comprehensive mandatory environmental targets allocated by provincial governments lowered prefectural governments' aspirations for economic growth. But this negative relationship was weakened by relative pollutant emissions efficiency. Additionally, economic growth targets set by prefectural governments were positively affected by their past goals, past performance discrepancies, the goal levels set by their geographically and strategically proximate peers, and the goal levels set by provincial governments. Mayors nearing retirement exhibited a significantly negative impact on economic growth targets, while the education level of Communist Party secretaries demonstrated a significantly positive influence. Further analysis showed that these environmental targets not only negatively affected local governments' aspirations for economic growth but also suppressed actual economic development to a certain extent. Our findings offer empirical insights into understanding local governments’ strategic decision-making in balancing economic development and environmental protection.