Article
InnovationInnovation Management: Definition, Responsibilities & Organization
What is innovation management? Definition, 4 action fields, innovation vs. R&D, DACH examples (Siemens, Bosch, Telekom) and ISO 56002.
83 percent of all companies call innovation a top-three priority. Only 3 percent are actually “innovation ready.”1 Between aspiration and reality lies a gap — and that gap is called innovation management. Not as a buzzword, but as a discipline.
What Is Innovation Management?
Innovation management is the systematic planning, steering, and execution of innovation within an organization. It encompasses strategy, processes, structures, and culture — everything needed to turn ideas into market-ready products, services, or business models. Since 2019, ISO 56002 provides the first international standard for innovation management systems.2
Peter Drucker put it succinctly: “Innovation is not a flash of genius, but purposeful, systematic work.”3 This work extends far beyond the development lab — it begins with strategy and ends with embedding innovation capability across the organization.
Innovation management does not govern just one type of innovation. It encompasses product innovation, process innovation, service innovation, business model innovation, and organizational innovation. Each type comes with different rules of engagement.
Why Companies Need Innovation Management
Clayton Christensen described in The Innovator’s Dilemma why good management can kill innovation: processes optimized for the current business model systematically filter out everything new.4 Not out of malice — but because the system was built for exactly that purpose.
The consequences: approval cascades dilute radical ideas until they become incremental. Information silos prevent idea synthesis. And career incentives reward conformity over experimentation. If you recognize these patterns, you understand the seven structural innovation killers that keep organizations worldwide from realizing their innovation potential.
Innovation management is the answer to this structural problem. It creates conditions that enable innovation despite — or rather, within — existing organizational structures.
Innovation Management vs. R&D Management
A common conflation: innovation management and research & development (R&D) are treated as synonyms. In reality, R&D is an important component of innovation — but only one part.
| Dimension | R&D Management | Innovation Management |
|---|---|---|
| Focus | Technology and products | Market, technology, organization, and business model |
| Process | Largely linear (research → development → transfer) | Iterative, often cyclical |
| Innovation type | Primarily product and process innovation | All types including service and business model innovation |
| Openness | Tends toward internal (closed innovation) | Internal and external (open innovation) |
| Organizational anchoring | Dedicated department | Cross-functional capability across all units |
| Output | Patents, prototypes, technical solutions | Market-ready products, services, new business models |
Henry Chesbrough demonstrated with the open innovation paradigm that innovation no longer happens in a closed lab. Companies use external ideas, startups, and research partners alongside internal capabilities.5 Innovation management orchestrates this collaboration — R&D management alone cannot.
The Four Action Fields of Innovation Management
Innovation management can be structured into four action fields that work together:
1. Innovation Strategy
Where and why do we innovate? The innovation strategy defines search fields, ambition levels, and resource allocation. Without strategy, innovation becomes a matter of luck.
2. Innovation Organization
Which structures enable innovation? Centralized innovation departments, decentralized teams, or hybrid models — organizational structure determines whether ideas stand a chance. How companies find the right organizational structure for innovation is one of the most important management decisions.
3. Innovation Processes
How do ideas travel from concept to market? From the innovation funnel to stage-gate models to agile sprints — the right process ensures good ideas don’t get lost in approval loops. A detailed guide to managing the innovation process is available in the linked article.
4. Innovation Culture
What environment does innovation need? Psychological safety, failure tolerance, and experimentation budgets are prerequisites — but they don’t emerge from slogans. They emerge from structure. Why culture is always a product of organization and how to systematically establish an innovation culture is covered in the cluster article.
Types of Innovation — What Exactly Is Being Managed?
By Degree of Novelty
- Incremental innovation: Existing products or processes are improved step by step. Lower risk, manageable returns.
- Radical innovation: New technologies or concepts fundamentally change a market. High risk, high potential.
- Disruptive innovation: A simpler, cheaper offering displaces established solutions from below (Christensen).4 Particularly dangerous for established companies that initially underestimate the new offering.
By Object (ISO 56002)
ISO 56002 distinguishes five innovation objects:2
- Product innovation — new or improved goods and services
- Process innovation — more efficient manufacturing or delivery methods
- Service innovation — new service concepts and customer experiences
- Business model innovation — new value creation logic (e.g., platform instead of product)
- Organizational innovation — new ways of working, structures, or decision processes
Each type requires different management approaches. Incremental product improvements can be managed through classical stage-gate processes. Disruptive business model innovations need autonomous teams with their own budget and governance.
How Companies Organize Innovation — Three Models
Centralized
A dedicated innovation department or innovation lab manages all innovation activities. Easy to start and steer, but limited in reach — innovation remains a special function rather than a core competency.
Decentralized
Every business unit innovates independently. Highest reach and proximity to practice, but difficult to coordinate. Duplication of effort and lack of synergies are typical risks.
Hybrid / Ambidextrous
Charles O’Reilly and Michael Tushman have shown that the most successful companies simultaneously exploit (optimize existing business) and explore (build new business).6 This organizational ambidexterity is not an either-or — it is the capability to run both modes in parallel.
In practice, this means: a central innovation team defines strategy and processes, while decentralized teams in business units execute specific innovation projects. This model is the most common among large DACH enterprises.
The Innovation Process — From Funnel to Portfolio
The Classic Innovation Funnel
The innovation funnel is the most widely used process model: many ideas are collected, filtered through phases, and the most promising ones are developed to market readiness. Robert Cooper’s stage-gate model formalizes this funnel with defined milestones and decision points.
Limitation: The stage-gate process works well for incremental innovation but often filters out radical and disruptive ideas too early — because their market potential cannot be quantified in early phases.
From Funnel to Portfolio
Bansi Nagji and Geoff Tuff demonstrated that outperformers manage innovation as a portfolio.7 Their 70-20-10 rule:
- 70% of innovation resources for core innovation (existing products, existing markets)
- 20% for adjacent innovation (neighboring markets or technologies)
- 10% for transformational innovation (new markets, new technologies)
The return expectation inverts: the 10% transformation budget should deliver 70% of long-term value creation. McKinsey’s Three Horizons model complements this portfolio structure with a time dimension: Horizon 1 (core business), Horizon 2 (emerging businesses), Horizon 3 (future bets).8
Innovation Culture — Why Culture Is a Product of Structure
“We need an innovation culture” is one of the most common sentences in boardrooms. And one of the least effective — when it is not accompanied by structural change.
Culture does not emerge from posters, workshops, or innovation days. It emerges from the daily experiences employees have in their organization: Are experiments rewarded or punished? Is there budget for prototypes? Can teams make their own decisions?
Google’s Project Aristotle showed that psychological safety is the strongest predictor of team effectiveness. And psychological safety is not a trait of people — it is a trait of structures.
The trend toward Employee-Driven Innovation reinforces this: innovation is no longer the task of a department, but of all employees. The prerequisite is structures that enable and protect individual initiative.
Case Studies — How DACH Enterprises Organize Innovation
Siemens next47
In 2016, Siemens founded the autonomous venture unit next47 with offices in Berkeley, Shanghai, and Munich. The distinctive feature: next47 has complete investment autonomy — without the typical approval cascades of a large corporation. This eliminates the most common innovation killer in large enterprises: the long decision path.
Bosch Innovation Framework (BIF)
Bosch pursues a “Dual Innovation” model: exploitation (optimizing existing business) and exploration (building new business fields) run in parallel. The Bosch Innovation Framework encompasses eight phases from idea scouting to market launch. Additionally, Bosch operates its own innovation consultancy and the Bosch Business Innovations unit.
Audi Denkwerkstatt / inCampus
Audi’s Denkwerkstatt in Berlin operates as a “speedboat” — a small, agile unit that develops new mobility business models, separate from the corporate structure. At the Ingolstadt site, the inCampus technology park consolidates research and development across 75 hectares.
Deutsche Telekom T-Labs
Telekom Innovation Laboratories (T-Labs) have existed since 2004 as a public-private partnership with TU Berlin. Over 20 years: one patent every four days on average. The OECD recognized T-Labs as a benchmark example of innovation management in an industry report.
What These Examples Share
Four patterns run through all examples:
- Structural autonomy — innovation units with their own budgets, decision paths, and pace
- Portfolio thinking — parallel work on incremental and transformational innovations
- Ecosystem integration — collaboration with universities, startups, and industry partners
- Ambidexterity — exploitation and exploration as equal organizational modes
Common Mistakes in Innovation Management
1. Innovation Without Strategy
Innovation activities without clear search fields and prioritization lead to fragmentation. When everything is supposed to be innovative, nothing is.
Avoidance: Couple innovation strategy to corporate strategy. Define search fields. Consciously decide where not to innovate.
2. No Portfolio Approach
All resources flow into incremental improvements, nothing into transformational innovation. This feels safe — until a disruptor changes the market.
Avoidance: Use the 70-20-10 rule as orientation. Explicitly reserve budget for Horizon 3 projects.
3. Innovation Labs Without Authority
An innovation lab that develops ideas but has no decision-making power produces PowerPoint slides instead of products.
Avoidance: Equip innovation units with decision autonomy — as Siemens demonstrates with next47.
4. No Measurement
What isn’t measured isn’t managed. Without innovation KPIs, there is no foundation for learning loops.
Avoidance: Introduce innovation accounting — different metrics than for the core business (time-to-learn instead of time-to-market, hypotheses validated instead of revenue).
5. No Process for Killing Bad Ideas
A full innovation funnel is not a sign of creativity, but of missing prioritization. Whoever pursues everything completes nothing.
Avoidance: Define clear kill criteria per gate. Terminating an idea is not failure — it is a management decision.
Frequently Asked Questions
What is innovation management in simple terms?
Innovation management is the systematic planning, steering, and execution of innovation in companies. It encompasses strategy, organization, processes, and culture — everything needed to turn ideas into market-ready offerings.
What are the responsibilities of an innovation manager?
The core responsibilities span four action fields: defining innovation strategy, creating organizational structures that foster innovation, steering innovation processes, and cultivating an innovation-friendly culture.
What is the difference between innovation and R&D?
R&D (Research and Development) focuses on technological solutions — patents, prototypes, products. Innovation management is broader: beyond technology, it encompasses service, business model, and organizational innovation and orchestrates collaboration across departmental boundaries.
What types of innovation exist?
By degree of novelty: incremental, radical, and disruptive. By object (ISO 56002): product, process, service, business model, and organizational innovation.
What is ISO 56002?
ISO 56002:2019 is the first international standard for innovation management systems. It defines seven action fields (context, leadership, planning, support, operations, performance evaluation, improvement) and is based on a PDCA cycle.
Sources
Footnotes
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BCG, “Innovation Systems Need a Reboot,” Most Innovative Companies Report (2024). ↩
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ISO 56002:2019, Innovation Management — Innovation Management System — Guidance (Geneva: International Organization for Standardization, 2019). ↩ ↩2
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Drucker, Peter F. Innovation and Entrepreneurship: Practice and Principles (New York: Harper & Row, 1985), 30. ↩
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Christensen, Clayton M. The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail (Boston: Harvard Business School Press, 1997). ↩ ↩2
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Chesbrough, Henry W. “The Logic of Open Innovation: Managing Intellectual Property.” California Management Review 45, no. 3 (2003): 33—58. ↩
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O’Reilly, Charles A. and Michael L. Tushman. “Organizational Ambidexterity: Past, Present, and Future.” Academy of Management Perspectives 27, no. 4 (2013): 324—338. ↩
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Nagji, Bansi and Geoff Tuff. “Managing Your Innovation Portfolio.” Harvard Business Review 90, no. 5 (May 2012): 66—74. ↩
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Baghai, Mehrdad, Stephen Coley, and David White. The Alchemy of Growth: Practical Insights for Building the Enduring Enterprise (New York: Perseus Books, 1999). ↩