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The Value of Intangibles

Value of Intangibles

Measuring What Matters › Article 09
MWM

Measuring What Matters · Article 09

The Value of Intangibles

Why 92 Percent of Organizational Value Is Invisible to Most Measurement Systems

Published: April 23, 2026
Reading time: 12 min
Author: Kevin Novak

There is a quote that has been attributed to Peter Drucker for decades: ” What gets measured gets managed. It appears in leadership books, consulting presentations, and executive offsite agendas with such regularity that it has become one of the foundational assumptions of modern management. There is just one problem. Drucker never said it. The attribution is false, and the irony of an unverified quote becoming the cornerstone of measurement philosophy should not be lost on anyone who cares about organizational rigor. The phrase actually traces to a 1956 article by V.F. Ridgway in Administrative Science Quarterly, and Ridgway’s original argument was not an endorsement of measurement. It was a warning about the dysfunctional consequences of measuring the wrong things. What Drucker actually wrote, in The Effective Executive, was far more nuanced: because knowledge work cannot be measured the way manual work can, one cannot tell a knowledge worker in a few simple words whether he is doing the right job and how well he is doing it. Drucker understood, more than half a century ago, that the most important dimensions of organizational performance are often the ones least amenable to measurement. We have spent the intervening decades largely ignoring that insight.

This is the central tension of the entire Measuring What Matters series. Each article has traced a different dimension of the same underlying failure: we measure what is easy to count and assume it represents what actually matters. In most organizations, what actually matters most, the things that determine whether change and transformation succeed, whether talent stays, whether innovation flourishes, whether organizational culture sustains performance through disruption, are intangible. And intangible, in the language of organizational measurement, has become a synonym for unmeasured. This article examines why that equation is wrong, what it costs, and what a serious approach to measuring intangibles actually requires.

The Ninety Percent Problem

Ocean Tomo’s Intangible Asset Market Value Study, which has tracked the composition of S&P 500 value for fifty years, reports that intangible assets now represent 92 percent of total market value. In 1975, that figure was 17 percent. The inversion is complete. The overwhelming majority of what makes a modern organization valuable cannot be found on a balance sheet, in a warehouse, or on a factory floor. It lives in the knowledge, relationships, culture, reputation, and institutional capability that accountants classify as goodwill and executives refer to in annual reports without ever precisely defining them.

And yet the measurement systems most organizations rely on were designed for the 8 percent. They were built to track physical assets, financial flows, and operational outputs with precision and rigor. When those same systems are applied to the 92 percent, they do not produce clarity. They produce distortion. They count what is countable and call it measurement. They assign numbers to proxies and treat the proxies as truth. They build dashboards around the visible surface of organizational performance while the invisible drivers of that performance remain unexamined, unquantified, and unmanaged. The World Intellectual Property Organization’s 2025 World Intangible Investment Highlights report confirmed that this trend is accelerating rather than stabilizing. Intangible investment now exceeds tangible investment in the majority of advanced economies. We are running twenty-first century organizations on twentieth century measurement systems, and the gap between what we track and what drives value widens with every passing year.

I have spent decades working with organizations navigating transformation, and I can say with confidence that the single most consistent predictor of transformation failure is not inadequate strategy, insufficient technology, or poor project management. It is the gap between what an organization values and what it measures. When leaders say that people are their greatest asset and then measure only headcount and labor cost, the measurement system tells the organization what leadership actually prioritizes, regardless of what the mission statement claims. When a company espouses innovation as a core value and then evaluates every initiative by its first quarter return on investment, the measurement system is teaching the organization that innovation means something different from what leadership says it means. The measurement system always wins this argument because it is the one connected to consequences.

92%

Of the S&P 500 market value now resides in intangible assets, up from 17% in 1975

$31.5B

Annual losses at Fortune 500 companies due to failures in sharing and retaining organizational knowledge

21%

Global employee engagement in 2024, with $8.9 trillion in lost productivity worldwide

The Intangibles That Drive Everything

Trust is perhaps the most foundational intangible in organizational life, and the research supporting its importance is overwhelming. Amy Edmondson’s research at Harvard demonstrated that psychological safety, the belief that one can speak up without fear of punishment, is the single strongest predictor of team performance. Google’s Project Aristotle studied 180 teams over two years and concluded that psychological safety was by far the most important dynamic distinguishing high-performing teams from the rest. A 2025 cross-cultural study published in the Journal of International Business Studies examined data from 2,451 employees across 18 societies and confirmed that trust in top management is a pivotal factor in shaping employee psychological safety perceptions across diverse organizational cultures. The evidence is consistent across industries, geographies, and organizational sizes. Trust drives performance. Performance drives results. And yet most organizations have no systematic measurement of trust beyond annual engagement surveys that capture a snapshot of sentiment without revealing the relational dynamics that produce or destroy it.

I worked with a manufacturing company where the engagement survey showed 78 percent satisfaction. Leadership cited the number in every board presentation as evidence of a healthy culture. But when we examined the operational reality, product defects were rising, safety near misses went unreported for weeks, and two entire shifts had stopped raising concerns about equipment maintenance because previous reports had been dismissed. The survey measured whether people said they were satisfied. It did not measure whether people felt safe enough to speak honestly about problems that could cost the organization millions. That gap between the survey number and the behavioral reality is where most organizational dysfunction lives, invisible to the dashboard, obvious to anyone paying attention to what people actually do and think rather than what they say on a structured form.

Organizational culture is another dimension that organizations universally claim to value and almost universally fail to measure with any rigor. Deloitte’s 2024 Global Human Capital Trends report found that 71 percent of respondents identified team-level culture cultivation as very or critically important to organizational success. The same report found that only 8 percent of organizations consider themselves leaders in measuring worker performance and value. That gap between recognizing importance and actually measuring it is not an oversight. It is a structural failure built into the way organizations think about what counts as data. Culture shows up in how meetings are run, how decisions are made when the leader is not in the room, how information flows or does not flow between teams, and whether people treat policies as genuine guides or as artifacts to be worked around. None of those signals appear on a standard organizational dashboard, and so culture remains something leaders talk about in off-site retreats and ignore in operational reviews because it is either not part of the way we work or because it’s too touchy-feely and hard to grasp.

Institutional knowledge, which I explored at length in a variety of other articles, is an intangible with enormous financial implications that compound over time. Fortune 500 companies lose approximately $31.5 billion annually due to failures in sharing and retaining organizational knowledge. Yet the measurement systems governing learning and development in most organizations track training hours and completion rates rather than knowledge retention and application. The intangible, the actual knowledge and its availability for future decision making, goes unmeasured while the tangible proxy, the training event, gets counted and reported as if it were the thing itself.

Employee commitment is another critical intangible that standard metrics systematically miss. Research on job embeddedness identifies three dimensions that determine whether someone stays or leaves: their links to people and projects within the organization, their fit with the role and culture, and the sacrifice they would incur by leaving. Turnover metrics tell you who left but not why, and they tell you nothing about the people who are still present but psychologically disengaged. I call this compliance without conviction: the pattern where people remain physically present while their commitment, creativity, and discretionary effort have already departed. Measuring headcount captures bodies. It does not capture the quality of presence, the willingness to go beyond the minimum, or the institutional knowledge that walks out the door the moment a better opportunity appears.

The Trust Measurement Gap

Most organizations have no systematic measurement of trust beyond annual engagement surveys that capture a snapshot of sentiment without revealing the relational dynamics that produce or destroy it.

Why We Measure the Wrong Things

If the evidence for the value of intangibles is so strong, why do organizations continue to measure primarily tangibles? The answer is not ignorance. Most leaders understand intuitively that trust, culture, and knowledge matter enormously. The problem is structural. It exists at the intersection of incentives, accounting standards, and the human preference for certainty over accuracy.

Financial reporting standards were designed for an era when organizational value resided primarily in physical and financial assets. The accounting frameworks that govern how organizations report their performance to investors, regulators, and boards handle property, inventory, and cash flows with elegant precision. They handle intellectual capital, cultural health, and institutional capability with what can only be described as studied avoidance. Goodwill, the accounting category where most intangible value ends up, is not measured. It is imputed, calculated as the residual difference between what someone paid for an organization and the book value of its measurable assets. The most valuable dimensions of organizational performance are literally defined as what is left over after you have counted everything else. This is not a minor accounting convention. It is a philosophical statement about what organizations consider real, and that statement has shaped how generations of leaders think about value, priority, and investment as if the past remains the present and the future.

The incentive structures that govern executive behavior compound the problem. Leaders are evaluated on metrics that appear in financial reports and quarterly reviews. Revenue growth, margin improvement, cost reduction, and return on investment are all measurable, comparable, and directly tied to compensation. Trust, psychological safety, cultural resilience, and institutional learning are none of those things. When a leader must choose between investing in something that will show up on next quarter’s dashboard and investing in something that will produce better decisions five years from now, the measurement system makes the choice for them. Not because the leader lacks vision, but because the system rewards what it can see and ignores what it cannot, and ensures short-term thinking and benefits remain the primary focus. I have watched this dynamic play out in dozens of organizations where leaders who invested in culture, trust, and knowledge development were passed over for promotion in favor of leaders who delivered short-term metric improvements that came at the expense of long-term growth-focused changes as well as organizational capability. The measurement system selected for the wrong behavior, and the organization paid for it years later when the accumulated intangible deficit became impossible to ignore.

There is also a deeper psychological dimension. Precise numbers create an illusion of control. A revenue figure reported to the nearest dollar feels knowable and manageable in a way that a qualitative assessment of organizational trust does not. The discomfort most leaders feel with ambiguity drives them toward metrics that offer certainty, even when that certainty is about the wrong things. I call this the precision trap: “the tendency to prefer a precise answer to the wrong question over an approximate answer to the right one.” An organization that can tell you its training completion rate to two decimal places but cannot tell you whether anyone applied what they learned is not rigorous. It is precisely wrong and ensures the needle remains stuck in its place.

The precision trap: “the tendency to prefer a precise answer to the wrong question over an approximate answer to the right one.”

What Measuring Intangibles Actually Requires

The first thing it requires is an honest acknowledgment that precision and importance are different things. We have been trained to equate rigor with numerical precision, and that equation has led us to measure precisely what matters least while ignoring what matters most because it resists precise quantification. The most important organizational intangibles can be measured. They cannot be measured with the decimal point precision of a financial statement. But they can be assessed, tracked, and compared over time with sufficient accuracy to inform better decisions, and informing better decisions is what measurement is actually for.

Measuring trust requires systematic observation of behavioral indicators over time rather than periodic sentiment snapshots.

Do people raise problems early or wait until problems become crises?

Do teams share information across boundaries or hoard it?

Do leaders respond to bad news with curiosity or defensiveness?

When someone admits a mistake, does the organizational response encourage future honesty or suppress it?

These behaviors can be observed, tracked, and correlated with outcomes. They will never produce a figure precise to two decimal places. They will produce something far more valuable: an honest picture of the relational foundation on which all organizational performance depends. The CIPD’s 2024 evidence review on trust and psychological safety concluded that behavioral observation over time provides a far more reliable indicator of team trust than any single survey instrument, precisely because trust is not a state but a pattern that reveals itself through accumulated interactions. We simply overlook by default the necessity to add up the cumulative interactions.

Measuring organizational culture requires what I think of as gap analysis: the systematic comparison of what the organization says it values with what its behavior reveals it actually values. If the stated value is innovation but the actual behavior is punishing failure, that gap is measurable. If the stated value is collaboration but the actual reward system incentivizes individual achievement, that gap is measurable. If the stated value is transparency but the actual practice is filtering bad news before it reaches senior leadership, that gap is measurable. The measurement does not produce a culture score. It produces a map of the distance between aspiration and reality, and that map is far more useful than any single metric because it tells leadership specifically where the organizational rhetoric and the organizational reality have diverged and by how much.

Measuring institutional knowledge requires tracking decision quality over time rather than knowledge capture events. It requires asking not how many lessons were documented but how many documented lessons actually influenced subsequent decisions. It requires tracking what I call the rediscovery rate, a measure of how often teams invest time solving problems that have already been solved elsewhere in the organization. One technology company I worked with discovered through a systematic audit that three separate engineering teams had independently built nearly identical authentication modules over an eighteen-month period. None of them knew the others existed. The redundant development cost was substantial, but the deeper signal was about the organization’s connective tissue. Knowledge existed in pockets but did not flow. The rediscovery rate made that failure visible in a way that no traditional metric could.

What connects all of these measurement approaches is that they prioritize behavioral evidence over self-reported data and longitudinal patterns over point-in-time snapshots. A single engagement survey tells you what people said on one day. A year of behavioral observation tells you what people actually do. The first is easy and familiar. The second requires more investment but produces genuinely useful intelligence about the intangible assets that drive organizational performance.

The Leadership Imperative

Gallup’s 2025 State of the Global Workplace report found that global employee engagement fell to 21 percent in 2024, and the United States hit a 10-year low of 31 percent. The estimated cost of that disengagement in the United States alone is $1.9 trillion in lost productivity. Gallup estimates that if every organization reached the engagement levels of best practice companies, the world economy could grow by an additional $9.6 trillion, a 9 percent boost in global GDP. These are not soft numbers about soft skills. There are hard economic consequences of the failure to measure and manage the intangible dimensions of organizational performance.

The organizations that get this right are not the ones that have found a way to reduce trust to a number or culture to a dashboard metric. They are the ones where leadership has accepted that some of the most important things they manage will never fit neatly into a spreadsheet, and that the absence of precise measurement does not excuse the absence of rigorous attention. One organization I consulted with began every quarterly strategy review with what they called a capability audit: a structured assessment of trust levels across key teams, knowledge retention from the previous quarter, and the gap between stated cultural values and observed behavioral patterns. The first two audits were uncomfortable because they surfaced realities that the standard dashboard had concealed. By the fourth, they had become the most valuable part of the strategy process because they forced leadership to confront the intangible conditions that would determine whether any strategic initiative could actually succeed.

The question this entire series has been attempting to answer is whether organizations are willing to measure what matters even when what matters resists easy measurement and runs in contrast to our very human defaults. Across this series, we have asked whether we can detect resistance before the dashboard catches it, whether our measurement systems reveal truth or confirm assumptions, and whether we are measuring learning or merely counting learning events. Today, we are asking the broadest version of the question: are we willing to invest the same rigor in measuring trust, culture, knowledge, and human capability that we invest in measuring revenue, cost, and return?

The answer, for most organizations, is not yet. But the 92 percent figure from Ocean Tomo should give every leader pause. When the overwhelming majority of your organization’s value resides in intangible assets, and your measurement system is designed primarily for tangible ones, you are not managing your most valuable resources. You are managing the least valuable ones with great precision, while the most valuable ones operate on hope, intuition, and neglect. That is not a measurement strategy. It is a measurement failure with consequences that compound with every quarter it goes unaddressed. The organizations that will thrive through the next decade of disruption will not be the ones with the most sophisticated financial dashboards. They will be the ones who learned to see, assess, and invest in the intangible assets that financial dashboards were never designed to capture. Measuring what matters has always required the courage to look beyond what is easy to count. In an economy where 92 percent of value is intangible, that courage is no longer optional. It is a strategic imperative.

Further Reading

The topics explored in this article build on themes examined throughout the Ideas and Innovations newsletter. Each of the following offers deeper context on a specific dimension of the intangibles measurement challenge.

How Do You Trust? (Issue 42) — An early exploration of trust as an organizational asset, examining the mechanisms through which trust is built, damaged, and rebuilt, and why most organizations confuse compliance with genuine trust.

Shared Purpose (Issues 37/59) — How shared purpose functions as an intangible that aligns behavior without requiring constant oversight, and why organizations that achieve genuine alignment outperform those that rely on control mechanisms.

How Illusion and Delusion Derail Organizations (Issue 56) — How confirmation bias, optimism bias, and perceptual distortion shape what organizations believe they know versus what they actually know, with direct implications for why intangible measurement is so often avoided.

The Pathway to Continuous Learning (Issue 100) — How iterative learning models outperform single exposure training, with practical implications for designing knowledge retention systems that treat learning as a continuous process rather than an event.

Leading With Courage — Why measuring intangibles requires leadership courage, examining how the discomfort of ambiguous data prevents leaders from investing in the measurements that matter most.

Taking the Pulse of Your Employees — Practical approaches to understanding employee sentiment beyond annual surveys, including behavioral indicators that reveal engagement, trust, and cultural health in real time.

Measuring What Matters (Original Newsletter) — The original exploration of why organizations measure the wrong things and how asking the right questions transforms the entire measurement framework from activity tracking to outcome assessment.

The Organizational Memory Problem (Measuring What Matters Series) — The companion article in this series examining why organizations forget what they learn, with a five-dimensional measurement framework for tracking institutional knowledge retention over time.

The Leading Indicators of Resistance (Measuring What Matters Series) — How behavioral signals reveal compliance without conviction, the pattern where people go through the motions of change without integrating new approaches into their actual work.

Why Transformation Dashboards Lie (Measuring What Matters Series) — How confirmation architecture shapes measurement systems to reflect what leadership wants to see rather than what is actually happening, with strategies for building measurement systems that reveal truth.

Sources

  1. Ridgway, V.F. (1956). “Dysfunctional Consequences of Performance Measurements.” Administrative Science Quarterly, 1(2), 240–247.
  2. Drucker, P.F. (1967). The Effective Executive. Harper & Row.
  3. Mitchell, T.R., Holtom, B.C., Lee, T.W., Sablynski, C.J., & Erez, M. (2001). “Why People Stay: Using Job Embeddedness to Predict Voluntary Turnover.” Academy of Management Journal, 44(6), 1102–1121.
  4. Edmondson, A. (1999). “Psychological Safety and Learning Behavior in Work Teams.” Administrative Science Quarterly, 44(2), 350–383.
  5. Google re:Work (2015). Project Aristotle: Understanding Team Effectiveness.
  6. International Data Corporation (IDC). Fortune 500 Knowledge Sharing Study.
  7. Deloitte (2024). 2024 Global Human Capital Trends: Thriving Beyond Boundaries.
  8. CIPD (2024). Trust and Psychological Safety: An Evidence Review. Chartered Institute of Personnel and Development, London.
  9. Ocean Tomo (2025). Intangible Asset Market Value Study.
  10. World Intellectual Property Organization (2025). World Intangible Investment Highlights 2025.
  11. Gallup (2025). State of the Global Workplace 2025 Report.
  12. Journal of International Business Studies (2025). “Impact of Organizational Culture on Employee Psychological Safety Perception: The Pivotal Role of Trust in Top Management Across 18 Societies.”

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Kevin Novak is the Founder & CEO of 2040 Digital, a professor of digital strategy and organizational transformation, and author of The Truth About Transformation. He is the creator of the Human Factor Method™, a framework that integrates psychology, identity, and behavior into how organizations navigate change. Kevin publishes the long-running Ideas & Innovations newsletter, hosts the Human Factor Podcast, and advises executives, associations, and global organizations on strategy, transformation, and the human dynamics that determine success or failure.