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My research is aimed at developing decision support tools for modeling performance and identifying best practice in organizations. This area of research is particularly applicable in analyzing organizations in service-sector settings such as health care, education and financial services, where both quantitative and qualitative data may be present. The central construct used is a mathematical programming structure referred to as data envelopment analysis. The tools are designed to aid in the identification of those organizations or units that make up the efficient frontiers of best performance, and to set improvement targets for inefficient or non-frontier units.
Honours
2012 Best paper prize
2010 York University Honorific Professorship - University Professor
Recent Publications
Cao, T., Cook, W., Kristal, M.M. (2022), "Has the Technological Investment Been Worth It? Assessing the Aggregate Efficiency of Non-Homogeneous Bank Holding Companies in the Digital Age", Technological Forecasting and Social Change, 178: 121576.
Abstract
Using panel data from 2010 to 2016, this study investigates how well banking institutions perform in investing in digital technologies and utilizing their resources in the digital age. A conventional data envelopment (DEA) analysis model is first applied, followed by a Malmquist index analysis. Results suggest that bank holding companies (BHCs) have failed to benefit from technological progress due to inefficient resource management. As such, we propose a novel resource-allocation model to address the issues, particularly allowing non-homogeneous BHCs to be compared with their true peers and highlighting practical insights into the allocation and reallocation of shared resources. Aggregate efficiency scores are measured and then regressed against selected explanatory variables. The empirical findings indicate that BHCs should strengthen their innovation capabilities and improve their diversification levels to gain better performance in utilizing resources. The results also offer novel managerial implications for collaboration with financial technology (FinTech) firms. Specifically, the explanatory variable, partnership, is shown to have a moderating effect on the relationship between the size and aggregate efficiency of BHCs. Larger BHCs could benefit from collaborating with FinTech, while smaller BHCs appear to be better off acting alone.
Grants
Project Title Role Award Amount Year Awarded Granting Agency Project TitleModelling performance measurement in organizations RolePrincipal Investigator Award Amount$120,000.00 Year Awarded2009-2014 Granting AgencyNatural Sciences and Engineering Research Council - Discovery Grant Project Title RolePrincipal Investigator Award Amount$90,000.00 Year Awarded2006-2009 Granting AgencyNatural Sciences and Engineering Research Council - Discovery Grant Project Title RolePrincipal Investigator Award Amount$275,000.00 Year Awarded2001-2006 Granting AgencyNatural Sciences and Engineering Research Council - Discovery Grant Project Title RolePrincipal Investigator Award Amount$160,000.00 Year Awarded1996-2001 Granting AgencyNatural Sciences and Engineering Research Council - Discovery Grant
Wade D. Cook
University Professor Emeritus of Operations Management and Information Systems; Gordon Charlton Shaw Professor of Management Science