How Innovation Happens. Research 2026.

Organizations today operate in a context of continuous transformation. Technologies evolve faster than people can absorb them. Inside companies, this tension rarely appears as a lack of ideas. Instead, it shows up as difficulty moving ideas forward: problems are noticed but not voiced, pilots succeed but are not adopted and promising initiatives fade before becoming everyday practice.

This study addresses a practical question:

How do innovation ideas move from being felt but unspoken to becoming adopted and operational inside real organizations?

To answer this, we conducted 28 in-depth interviews with innovation experts from leading Nordic and European enterprises across multiple industries. Respondents described how innovation unfolds in their everyday work.

A key contribution of this study is that it makes implicit and silent signals explicit. When people do not speak up, disengage or stop working on ideas, the reasons often remain invisible. By tracing how innovation moves across stages, the framework explains how and why silence, fragmentation, or drop-off occur, rather than treating them as individual or cultural issues.

Analytical approach

We apply a social science lens to examine innovation as a flow through the organization. Through qualitative analysis of interview narratives, we identified recurring patterns that explain how ideas progress or stall.

The study distinguishes three stages of innovation, each with different risks and enabling conditions: making ideas speakable (Externalization), making ideas shared and concrete (Objectivation) and making ideas stick (Internalization). This approach makes visible the often-overlooked conditions that enable ideas to move across roles, teams and operational boundaries.

Key concepts and cross-cutting insights

Innovation functions as a flow – an operational process that must be legitimate and predictable for people to engage. One expert described managing this as orchestration: coordinating expectations, timing, and handovers across stages. As ideas progress, the balance between structure and communication shifts: structure provides legitimacy and stability, while communication enables movement and transition.

Innovation capital refers to insight embedded in everyday work, while innovation memory captures the ability to retain and build on prior efforts. Feedback loops and recognition fuel transitions by linking effort to outcomes and reinforcing continued participation.

Main findings

Our findings show that innovation unfolds as a flow shaped by interaction, ownership and operational conditions. Ideas must pass through a sequence of transitions before they become solutions or products. Innovation outcomes are often determined at these transitions rather than by idea quality or execution capability alone.

Each stage of innovation involves a distinct management logic that becomes relevant as ideas move forward. Across the flow, people engage when innovation work is legitimate and when the likely outcomes are predictable. People connectivity and communication plays a crucial role. Concrete meaning of these conditions changes at each transition. When stage-specific conditions are not aligned, innovation capital remains unused, innovation memory is lost and responsibility weakens at handovers. In these situations, innovation stalls even when ideas and motivation are strong.

Across all stages, three enabling conditions recur:

• Legitimacy – clear signals from leaders, that innovation-related work is acceptable;
• Predictability – which allows people to assess whether effort will lead anywhere;
• Connectivity – which enables ideas to travel across organizational boundaries.
• Innovation memory – mechanisms that retain learning from pilots and discussions, keeping ideas visible over time.

These conditions are constant across the innovation flow, but their concrete meaning changes at each stage. The report examines each stage in detail, making explicit the key elements and showing how hierarchical governance and flat communication are balanced across the flow.

The appendices include detailed use cases, concrete practices, and interview citations for readers who want to learn directly from the experiences of innovation leaders.

Practical value

The framework offers a diagnostic lens for understanding where innovation breaks down and why. It helps leaders distinguish between problems of silence, fragmentation and adoption without defaulting to generic cultural explanations.

The framework can also be used in internal interviews and workshops to surface latent innovation capital, clarify expectations and identify weak transitions. In this way, it supports organizations in activating existing knowledge rather than adding new initiatives.

It can help leaders decide where to invest resources and how to run transformation efforts effectively by focusing on the transitions that determine whether ideas progress or stall.

Closing insight

Improving innovation outcomes is not primarily about generating more ideas. It is about enabling ideas to move, accumulate and settle inside organizations. The same logic applies to broader transformation efforts, which depend on the same conditions of legitimacy, predictability and connectivity.

We thank all experts and practitioners who generously shared their time and experience for this study. Their openness and practical insight made this research possible.