More Than Innovation: How Averdas Looks at Productivity Across Four Dimensions

Invest in Productivity: An Overview of the Averdas Approach

What makes a company a productivity leader? Is it an exceptionally high margin, an efficient production system, or the ability to remain profitable in difficult conditions? The answer depends on which aspect of corporate performance is being considered. This is where the Averdas approach begins: productivity is not reduced to a single factor but understood as the interaction of several corporate capabilities.

For institutional investors and asset managers, this perspective matters because corporate quality cannot always be captured by one isolated financial metric. Productivity is created in the way a company operates—in how it uses its assets, designs its processes, responds to change, and deploys scarce resources. The Averdas framework makes these relationships the starting point for systematic analysis.

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Productivity is more than cost efficiency

In its conventional sense, productivity describes the relationship between resources used and results achieved. This definition is useful, but it is too narrow for a comprehensive corporate analysis. For example, it does not fully explain why two companies with similar cost structures may respond very differently to supply-chain disruptions, technological change, or new regulatory requirements.

A broader productivity perspective, therefore, asks several questions:

• How effectively does a company use its assets?
• How efficient and scalable are its processes?
• How well can it maintain performance and value creation under changing conditions?
• How effectively and responsibly does it use the resources available to it?

The four Averdas factors address these questions. They should not be viewed as isolated metrics, but as distinct perspectives on a company’s operational and structural quality.

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The four productivity factors in the Averdas approach

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1. Asset Productivity: Using assets effectively

Asset productivity describes how productively a company uses its assets. Depending on the business model, these may include production facilities, technological infrastructure, or other assets that are central to value creation.

The key issue is not simply the size of a company’s asset base. The more relevant question is what contribution those assets make to value creation. A company may have extensive infrastructure and still use it inefficiently. Conversely, a focused business model with a comparatively lean asset base may achieve a high level of operational effectiveness.

For analytical purposes, the quality and utilization of assets should therefore be considered in the context of the relevant business model. Industries differ in capital intensity, technology cycles, and utilization patterns. A meaningful comparison needs to take these differences into account.

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2. Process Productivity: Turning operations into better outcomes

Process productivity focuses on how a company organizes and executes its operations. Processes connect resources and assets with outcomes: they influence how quickly, reliably, and scalably a company can deliver products or services.

Productivity can improve through fewer friction points, better information flows, automation, or clearer organizational structures. Technologies such as advanced analytics, artificial intelligence, software, and intelligent automation may support these developments. Technology alone, however, is not evidence of higher productivity. The key question is whether it is translated into better processes and more reliable outcomes.

This process perspective helps to look beyond the surface of investments in technology or digitalization. It asks not only which systems a company uses, but also how those systems are embedded in its operating model.

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3. Resilience Productivity: Maintaining performance through change

Resilience productivity describes a company’s ability to remain productive under changing or demanding conditions. These conditions may include shifts in demand, supply-chain interruptions, technological disruption, or other external shocks.

Resilience should not be confused with simply maintaining the status quo. A resilient productivity leader does not merely preserve existing structures. It can adapt processes, reallocate resources, and turn changing conditions into opportunities for action. Resilience, therefore, combines stability with adaptability.

For investors, this perspective provides an additional way to consider corporate quality. Historical efficiency alone says little about how a business model will respond to new conditions. Analysis should therefore also consider how a company deals with uncertainty and whether its operating structure allows for adaptation.

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4. Resource Productivity: Making effective use of scarce resources

Resource productivity concerns the use of scarce resources. Depending on the business model, these may include materials, energy, labor, time, capital, and data.

Higher resource productivity can result from reduced waste, more efficient use of energy and materials, better planning, or more effective connections between data and decisions. Here too, context is essential. A company should not be assessed solely based on a single consumption figure. What matters is how resource use relates to performance, quality, and long-term competitiveness.

This dimension connects operational efficiency and sustainability without treating the two concepts as identical. It focuses attention on how companies can create lasting value while working within finite constraints.

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From four factors to a coherent investment perspective

The four factors are most useful when considered together. A company may use its assets very efficiently while remaining vulnerable because its processes are fragile. Another company may have robust operations but use its resources ineffectively. A multidimensional perspective helps make these differences visible.

The Averdas approach follows a straightforward analytical logic:

1. Define productivity: First, identify which dimensions are relevant to the analysis.
2. Make companies comparable: Assess productivity characteristics in the context of the business model and industry.
3. Identify relationships: Interpret the factors not in isolation, but as parts of a broader performance profile.
4. Develop investment perspectives: Use the analysis as a basis for systematic consideration of companies and their structural characteristics.

This does not mean that one individual signal should automatically lead to an investment decision. Productivity is an analytical perspective—not a promise of a specific return and not a substitute for a comprehensive investment assessment.

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Why innovation is only part of the story

Innovation can support productivity in important ways. New technologies, more efficient methods, or improved products may change how a company creates value. Innovation alone, however, does not answer whether a company can implement these opportunities effectively.

It is the combination of capable processes, effectively used assets, resilient structures, and responsible resource use that indicates how durable an innovation may be in day-to-day operations. This is why the Averdas approach expands the perspective from "innovation" to "productivity."

This shift moves the focus from the idea itself to its impact within the wider corporate system. For corporate analysis, this means that technological or scientific progress is only one part of the picture. The ability to turn that progress into repeatable and robust value creation is equally relevant.

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The limits of productivity analysis

A careful productivity analysis requires clear definitions and reliable data. Not every relevant corporate capability can be measured directly. In addition, industries, business models, and value chains differ substantially. Comparisons are meaningful only when the respective operating conditions are considered.

Quantitative metrics should also not be interpreted in isolation. Data quality, time horizon, accounting treatment, company size, and exceptional events can affect their significance. The four factors provide a structured framework, but they do not replace the expert assessment of individual companies or the evaluation of valuation, risks, and portfolio context.

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Conclusion: Productivity as a systematic view of corporate quality

The Averdas approach understands productivity as more than efficiency or cost reduction. Asset productivity, process productivity, resilience productivity, and resource productivity offer four perspectives on how companies deploy their means, organize their operations, respond to change, and create value over time.

For institutional investors and asset managers, this framework can support a more differentiated view of corporate quality. It directs attention to the operational foundations of value creation—and to a company’s ability to use those foundations effectively under changing conditions.

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