What IRF Research Reveals Today and the Next Frontier for Executive Impact
By Bruce Bolger
A History of Accomplishment
Foundational Evidence: IRF Research That Established Credibility for the Field
IRF Case Studies with Strong Methodology—but Limited Executive Verifiability
IRF Research That Informs Strategy
Why Academic, Independently Verified, or Company Named Impact Studies Appeal to the C-Suite and Boards
The Next Frontier: From Established Insight to Executive Impact?
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For more than two decades, the Incentive Research Foundation (IRF) has played a pivotal role in helping the incentive, recognition, and rewards (IRR) industry mature. At a time when incentive programs were often justified primarily through anecdote or intuition, IRF introduced greater rigor, structure, and discipline into how these programs are designed, measured, and evaluated.As one of the founding board members of the IRF, and a multiple-term past president and research director, I am impressed with its accomplishments.
IRF has successfully moved the incentive and recognition field from anecdote to analysis and from intuition to evidence. Some of its foundational research—such as the “Incentives, Motivation and Workplace” performance study (see below)—established from a research meta-analysis that under the right conditions incentives can significantly enhance performance. Case studies like the Cleveland Clinic report show how they can work in practice. Over time, many IRF studies have identified key industry trends, the practices of top performing companies in multiple industries, and other studies identifying effective program design.
The next frontier is helping senior leaders understand what impact to expect in organizations like theirs. By building on the IRF’s strong foundation, relationships with academics and other experts, and with greater transparency, attribution, and financial linkage, IRF has the opportunity to further elevate both its own influence and the strategic credibility of the entire incentives and recognition discipline.
A History of Accomplishment
Through academic research summaries, evidence reviews, trend reports, benchmarking studies, and case-based analyses, IRF has helped practitioners and organizational leaders make better, more informed decisions. Its work has reinforced that incentives and recognition are not simply “nice to have,” but strategic tools that influence behavior, engagement, and performance. In many important respects, that foundational mission has been accomplished: incentives and recognition are broadly accepted as legitimate components of organizational strategy rather than discretionary perks.
As a result, expectations have evolved. Today’s CEOs, CFOs, boards, and investors are no longer asking whether incentives and recognition matter. They are asking how much they matter, under what conditions, and with what measurable impact on enterprise performance. Human capital investments are increasingly evaluated alongside technology platforms, capital projects, and growth initiatives.
This article is written in that context. It is not intended as a critique of IRF’s research—which has significantly advanced the field—but as a constructive assessment of where that research has had the greatest impact and where the next opportunity clearly lies. By examining which IRF studies most closely align with executive decision-making needs, the analysis points toward a natural next frontier: research that not only informs practitioners but meaningfully influences C-suite and board-level investment decisions.
Foundational Evidence: IRF Research That Established Credibility for the Field
Before examining case studies and ROI analyses, it is important to acknowledge one of IRF’s most influential contributions: establishing a credible evidence base demonstrating why and how incentives and recognition work when properly designed.
1. Meta Analysis of Research
Incentives, Motivation, and Workplace Performance — Harold Stolovitch et al, University of Southern California.
What this research accomplishes:
- Synthesizes decades of academic research on incentives, motivation, and performance finding that effectively designed programs can increase performance by 25% to 44%.
- It distinguishes effective incentive design from ineffective or counterproductive approaches, those that address motivational holistically versus those focused on get-this, get that approaches.
- Introduces the PIBI (Performance Improvement by Incentives) framework to guide program design that addresses and aligns all key engagement factors, rather than the typical ad hoc approach.
Where it fits for executives: Stolovitch’s work is foundational evidence, not an impact case study. It helps answer the question: Does independent research find that incentives and recognition work in principle, and what design factors matter most? What it does not attempt to do is quantify enterprise-level financial impact for specific organizations. That distinction is important—and sets the stage for the next level of research executives now expect.
2. Named Case Study: Cleveland Clinic — Engagement and Recognition Case Study
Organization: Cleveland Clinic
Source: Engaged in What? Part 5: Cleveland Clinic Case Study, by Dr. Theresa Welbourne, PhD.
Link:
What’s measured:
- Multi-year employee engagement trends
- Recognition participation and frequency
- Cultural and organizational alignment indicators
- “Received recognition” engagement scores increased meaningfully over time
- Overall engagement scores improved steadily
- Recognition activity expanded dramatically across the enterprise
- Cleveland Clinic is a globally recognized healthcare institution
- The organizational context, scale, and timeline are transparent
- The study credibly links recognition practices to enterprise-wide engagement outcomes
- Financial outcomes (revenue, margin, cost savings) are not quantified
- Engagement is used as a proxy rather than a direct financial metric
3. ROI Measurement Tool: The Master Measurement Model: A Blueprint for Measuring ROI in Employee Incentives
Publisher: Incentive Research Foundation based on the work of the American Productivity and Quality Center.
Purpose: To provide a practical framework for defining, measuring, and monetizing employee performance so incentive and recognition programs can be evaluated using credible ROI metrics.
Author/Development: Developed by researchers and practitioners at the American Productivity and Quality Center (APQC) under a grant from the SITE Foundation, later republished and promoted by the Incentive Research Foundation.
Key Findings Related to ROI Measurement: The research demonstrates that employee performance is not inherently “intangible.” By breaking jobs into measurable outputs, assigning financial value to performance improvements, and weighting results based on business priorities, organizations can quantify the financial return of incentive and recognition programs. The model shows how to link behavior change to business outcomes, establish defensible incentive budgets, and calculate ROI in terms that resonate with senior leadership and finance.
Why this matters: The Master Measurement Model laid the groundwork for treating incentives and recognition as strategic investments, not discretionary costs—providing a repeatable, finance-friendly approach to impact measurement that remains relevant today. While it is used daily in probably over one million companies that follow total quality management around the world, there is little evidence it is used in incentive or recognition program design.
IRF Case Studies with Strong Methodology—but Limited Executive Verifiability
IRF has published several ROI-oriented case studies that demonstrate solid analytical thinking and report positive outcomes. However, most do not disclose the participating company or provide independently or academically verified documentation.
ROI of Incentive Programs: Channel Sales Case Study
- Incentive program for a Fortune 500 manufacturer’s channel partners
- Reports revenue growth, ROI improvement, and working-capital impact
- The organization not named, limiting benchmarking and validation
- Reports sales and margin improvements or independently verified data.
- No company or industry context disclosed
- Anonymized with no independent academic verification.
- Multi-year longitudinal analysis
- Strong methodology
- Company anonymized as “XYZ Corporation”
IRF Research That Informs Strategy
IRF also produces research intended to inform strategic thinking rather than validate ROI for a specific organization.
IRF Top Performer Studies
See IRF research library for multiple studies outlining the practices of top performing companies.
- Aggregated and anonymized
- Useful for understanding best practices and trends
The IRF produces extensive academic research on effective practices design.
IRF Trends Reports (e.g., IRF 2025 Trends Report)
These reports provide directional insight into evolving practices
Why Academic, Independently Verified, or Company Named Impact Studies Appeal to the C-Suite and Boards
Senior leaders routinely evaluate investments in technology, capital projects, mergers and acquisitions, marketing, and human capital initiatives. In nearly every other domain, credible case studies name the company or provide academic or independent verification; disclose context, and allow for benchmarking.
When incentive research relies primarily on anonymous organizations:
- Assumptions cannot be validated
- Industry and scale effects are unclear
- Peer comparison is impossible
- Confidence in ROI claims is reduced
The Next Frontier: From Established Insight to Executive Impact?
IRF’s research has already helped the industry establish legitimacy. The next opportunity is extending that impact into consistent C-suite and boardroom influence. Key opportunities include:
1. Expanding the portfolio of named-company case studies
2. Clearly separating conceptual evidence from executive-grade proof
3. Strengthening linkage between engagement, behavior, and financial outcomes
4. Providing concise, board-ready methodology summaries
5. Positioning IRF as the bridge between academic rigor and executive decision-making
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