Recently Published White Papers
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Labour Cost Reduction and the Well-Being of Employees: Achieving Short-Term Cost Savings While Protecting Culture and Trust |
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![]() Dr. Kelsey Matthews, Professor, School of Accounting and Finance, University of Waterloo This paper examines how organizations reduce labour costs during periods of financial pressure and the implications these decisions can have for employees and organizational outcomes. Drawing on academic research and practitioner insights, it reviews common labour cost reduction practices, including downsizing, furloughs, and pay cuts, and discusses how these measures are used to achieve short-term financial savings. The analysis highlights how such actions can affect employees' attitudes and behaviours, often through perceived breaches of the psychological contract between employees and their organization. These responses may include reduced trust in management, lower morale, increased stress, and behaviours such as decreased effort, absenteeism, or turnover. The paper also outlines three guiding principles — building trust, being genuine and authentic, and maintaining flexibility — and five implementation strategies organizations can use to mitigate these effects, spanning leadership involvement, transparent communication, manager coaching and training, employee feedback channels, and ongoing employee support. |
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Unlocking Employee Potential: How Companies Can Leverage AI in Performance Management |
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![]() Dr. Wenquian Hu, Professor, School of Accounting and Finance, University of Waterloo This paper examines how artificial intelligence (AI) can support employee performance management while highlighting the challenges of integrating algorithmic tools with human judgement. Drawing on prior academic research and practitioner insights, it reviews how AI is being used in hiring, performance evaluation, and employee development, and how these tools may influence managerial decision-making. The analysis suggests that AI tools can improve efficiency, support more data-driven decisions, and help mitigate certain forms of bias in recruitment and evaluation processes. At the same time, research shows that employees and managers may resist algorithmic decision-making when AI systems are perceived as lacking transparency or contextual understanding. The paper concludes that AI is most effective when used to complement rather than replace human judgement, with transparency, governance, and human oversight playing key roles in building trust and ensuring responsible use. |
| Aligning Incentives with Sustainability Goals: A Managerial Perspective |
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![]() Dr. Adam Vitalis, Professor, School of Accounting and Finance, University of Waterloo This paper examines how organizations design environmental, social, and governance (ESG) incentives to align managerial decisions with sustainability goals. As ESG metrics become increasingly incorporated into executive compensation and organizational performance systems, the paper highlights the risk that poorly designed incentives can lead to unintended outcomes or behaviours that do not improve overall sustainability performance. Through four thought exercises grounded in prior research, the paper identifies several challenges: the influence of managers' personal norms on ESG investment decisions; the risk that mandated ESG directives trigger retaliatory behaviour among otherwise supportive agents; the tendency for emissions incentives to encourage scope shifting through outsourcing rather than genuine reduction; and the paradox that absolute emissions targets can penalize product innovation even when per-unit efficiency improves. The paper emphasizes the importance of designing ESG incentives that balance accountability, autonomy, and meaningful environmental outcomes. |
| The Future of Work: Generative Artificial Intelligence Use, Employee Performance, and Employee Engagement |
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![]() Dr. Khim Kelly, Kenneth G. Dixon Distinguished Professor of Accounting, University of Central Florida; and Dr. Adam Presslee, Jr. Wadsworth Chair Associate Professor of Accounting, University of Waterloo. This paper examines how employees are using generative artificial intelligence (GenAI) at work and how its use relates to job performance and employee engagement. Based on survey data from 880 employees across industries, the study finds that GenAI adoption has grown rapidly, with 76% of respondents reporting that they use GenAI tools for work and nearly 60% using them weekly. The findings show that GenAI use is associated with higher job performance, job satisfaction, and work engagement. Employees who are already highly engaged or high-performing are more likely to adopt GenAI and benefit from it, suggesting that AI use may reinforce existing performance differences within organizations. The study also identifies three risks GenAI adoption poses to employee engagement — job insecurity, opacity and accountability concerns, and skill erosion — and offers five strategies to address them, including reskilling investment, employee-centric design, building trust, recognizing adoption, and measuring downstream outcomes. Supervisor support and employer-provided training are identified as particularly important levers for encouraging broad-based adoption. |
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Target Setting: Influential Factors and Employee Motivation |
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![]() Dr. Tyler Thomas, Professor, School of Accounting and Finance, University of Waterloo This paper examines how organizations set performance targets for employees and the factors that influence this process. Drawing on prior academic and practitioner research, it reviews several elements that shape target-setting decisions, including target ratcheting based on past performance, managerial discretion in adjusting targets or compensation, employee retention concerns, and the degree of employee participation in the process. The analysis also considers how transparency in targets, variation in target difficulty, and managers' perceptions of employees' tasks can affect the targets that are ultimately established. Notably, while over 70 percent of firms surveyed identified employee motivation as the primary goal of target-setting, almost 70 percent acknowledged they were not highly effective at achieving it. The research shows that various factors can affect target-setting decisions and target difficulty, which can influence employee motivation. Understanding these factors can provide a basis for more effectively managing the target-setting process and motivating greater employee and organizational performance. |
Highlighted
| Adam Presslee's forthcoming publications (all received funding by the CSPM) and forthcoming textbook |
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| Tyler Thomas has a new publication! |
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![]() Workers often struggle to fully appreciate the quality of their performance. Rather, workers use the measure of their performance that is realized from their firm’s measurement system, which is typically imperfect, as a guide to do so. This study by Tyler Thomas examines how workers’ perceptions about their compensation depend on the realized measure of their performance.
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| Strategic Bias in Team Members’ Communication about Relative Contributions: The Effects of Voluntary Communication and Explanation |
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![]() This study, by Kelsey Matthews, Leslie Berger, Lan Guo, and Christopher Wong, uses an experiment to investigate how team members communicate their relative contributions to managers to help with the allocation of team bonuses. We find that low-ability team members are more likely to exaggerate their contributions when the choice to report is voluntary, compared to mandatory. However, requiring explanations for their communication significantly reduces this bias. Our study offers practical advice for managers seeking to strengthen the informativeness of relative contribution communication and foster more favorable team dynamics. Read their paper: Strategic Bias in Team Members’ Communication about Relative Contributions: The Effects of Voluntary Communication and Explanation |















