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

Barnett, M.L., Henriques, I. and Husted, B.W. (2020). "Beyond Good Intentions: Designing CSR Initiatives for Greater Social Impact", Journal of Management, 46(6), 937-964.

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Abstract Are corporate social responsibility (CSR) initiatives providing the societal good that they promise? After decades of CSR studies, we do not have an answer. In this review, we analyze progression of the CSR literature toward assessing the performance of CSR initiatives, identify factors that have limited the literature’s progress, and suggest a new approach to the study of CSR that can overcome these limits. We begin with comprehensive bibliometric mapping illustrating that although social impact has infrequently been its explicit focus, the CSR literature has measured outcomes other than firm performance, especially in the current decade. Thereafter, we conduct a more fine-grained analysis of recent CSR studies. Adapting a logic model framework, we show that even the most highly cited studies have stopped short of assessing social impact, often measuring CSR activities rather than impacts and focusing on benefits to specific stakeholders rather than to wider society. In combination, our analyses suggest that assessment of the performance of CSR initiatives has been driven by the availability of large, public secondary data sources. However, creating more such databases and turning to “big data” analyses are inadequate solutions. Drawing from the impact evaluation literature of development economics, we argue that the CSR field should reconceive itself as a science of design in which researchers formulate CSR initiatives that seek to achieve specific social and environmental objectives. In accordance with this pursuit, CSR researchers should move toward “small data” research designs, which will enable studies to better determine causation rather than just identify correlation.

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.

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Abstract Purpose The purpose of this paper is to integrate the literature on learning in the context of boundary spanning innovation in supply chains. A two-dimensional framework is proposed: the learning stage (exploration, assimilation, exploitation) and the learning facet (structural, cultural, psychological and policy). Supply chain management (SCM) practices are examined in light of this framework and propositions for further empirical research are developed. Design/methodology/approach In total, 60 empirical papers from the major journals on supply chain relationships published over an 11-year time span (2000-2010) were systematically analyzed. Findings The paper reveals a comprehensive set of best practices and identifies four gaps for future research. First, assimilation and exploitation are largely ignored as mediating learning stages between exploration and performance. Second, knowledge brokers and reputation management are key mechanisms that foster assimilation. Third, the iteration from exploitation back to exploration is critical though underdeveloped in efficiency seeking supply chains. Fourth, the literature stresses structural mechanisms of learning, at the expense of a more holistic view of structural, cultural, psychological and policy mechanisms. Research limitations/implications The search could be extended to other journals that report on joint learning and innovation. Practical implications The framework provides guidelines for practitioners to develop learning capabilities and leverage the knowledge from supply chain partners in order to continuously or radically improve boundary spanning processes and products. Originality/value The study is multi-disciplinary; it applies a model developed by learning scholars to the field of SCM.