The innovation lab is not dead. It’s just no longer enough.
For decades, the R&D department was a company’s crown jewel: a dedicated, often secretive team tasked with inventing the future. An “open innovation strategy” wasn’t part of the vocabulary. The formula made sense in an era when proprietary knowledge was the primary source of competitive advantage. You hired the best minds, locked them behind closed doors, and waited for breakthroughs.
That formula is breaking down. Not because internal innovation teams have become less talented, but because the speed, complexity, and cost of modern innovation have fundamentally outpaced what any single team can handle. The problems companies need to solve now, from climate adaptation to AI integration to supply chain resilience, are too multidimensional for a siloed department to crack alone.
What’s replacing the old model isn’t a new type of department. It’s a new architecture altogether: a distributed ecosystem where value is co-created across networks of startups, universities, developers, customers, and communities. Innovation is no longer centralized. It’s networked, collaborative, and increasingly open.
Why the Traditional R&D Model Is Under Pressure
The evidence of strain is hard to ignore. A McKinsey analysis found that despite significant R&D investment, most large companies struggle to translate research into commercial results at the pace the market demands. Meanwhile, the share of transformative innovations originating outside large corporate R&D labs has grown steadily over the past two decades.
Part of this is structural. Traditional R&D departments operate on long timelines, internal priorities, and reward systems that favor incremental improvement over disruptive experimentation. They’re optimized for depth in a world that also demands breadth and speed.
Part of it is also epistemic: the knowledge required to innovate effectively is now distributed across more actors than ever before. A pharmaceutical company developing a new drug-delivery mechanism needs materials scientists, AI researchers, regulatory specialists, patient advocates, and manufacturing partners.
No single team contains all of that expertise. The question is not whether to reach outside; it’s how to build the connective tissue that makes external collaboration productive. That’s precisely what a well-designed open innovation strategy is meant to provide.
BMW launched a Co-Creation Lab to get customer input, and Nissan utilized crowdsourcing to build the “Project Titan” truck.GE has aggressively used crowdsourcing for high-tech R&D, such as the “Ecomagination Challenge,” which generated thousands of ideas for smart grid technology from external contributors.
Startup Partnerships and Co-Creation with SMEs
One of the most visible shifts in corporate open innovation strategy has been the rise of startup partnerships. Large organizations have moved beyond simply acquiring startups and toward structured co-creation models: joint pilot programs, corporate venture arms, accelerator partnerships, and challenge-based competitions that invite startups to solve defined problems.
The logic is sound. Startups bring speed, risk appetite, and domain-specific innovation that large incumbents find hard to generate internally. In return, corporates offer scale, distribution, and market access. When the relationship is well-designed, it’s a genuine exchange of complementary strengths rather than a talent acquisition dressed up as collaboration.
Small and medium-sized enterprises (SMEs) are increasingly part of this picture too. Rather than treating SMEs purely as suppliers, forward-thinking companies are integrating them as genuine innovation partners. Bosch, for example, has developed supplier co-innovation programs that invite SMEs into early-stage product development. The result is a richer pipeline and a more resilient supply ecosystem.
Unilever moved away from a centralized R&D model to a decentralized one, launching “The Foundry” to connect with startups for product development and sustainability solutions.
The challenge is making these partnerships work in practice. Corporate procurement processes, IP ownership debates, and cultural mismatches between large and small organizations can derail even well-intentioned collaborations. Organizations that succeed tend to invest in dedicated partnership infrastructure: relationship managers, streamlined legal frameworks, and protected spaces where co-creation can happen outside the normal corporate rhythm.
University Collaborations and Research Commercialization
Academic institutions are one of the most underutilized assets available to any organization building an open innovation strategy. Universities generate an enormous volume of foundational research, much of which never crosses the bridge into commercial application. The gap between academic output and market-ready innovation is well documented, and closing it has become a strategic priority for both sides.
Leading companies are going well beyond traditional sponsorship arrangements. Deep university partnerships now involve joint research centers, embedded industry fellows, shared IP agreements, and talent pipelines that move people fluidly between academic and commercial environments.
MIT’s Industrial Liaison Program, which connects member companies with faculty expertise across the university, is one long-standing model. More recent examples include the partnerships between pharmaceutical giants and genomics research centers, where the commercial application timelines are long and the underlying science requires academic depth.
Similarly, since 1987, Oxford University Innovation has been responsible for creating spinout companies based on academic research generated within and owned by the UK’s University of Oxford. In recent years it has sometimes spun out 15-20 new companies a year.
What makes these collaborations work is clarity about what each party wants. Universities want research funding, real-world problem exposure for their students, and eventual publication rights. Companies want early access to emerging knowledge, talent, and intellectual property. When those interests are aligned upfront, and when governance structures are designed to respect academic independence while enabling commercial focus, the results can be significant.
The commercialization side is where many partnerships still fall short. Translating a promising research finding into a scalable product requires capabilities that neither pure researchers nor traditional R&D teams always have: market insight, regulatory navigation, manufacturing know-how, and customer development skills.
Organizations that treat university collaboration as a beginning rather than an end, and invest in the translation infrastructure to take research towards the market, extract far more value from these relationships.
Developer and Creator Communities as Innovation Partners
Perhaps the most dramatic shift in the innovation landscape over the past decade has been the emergence of developer and creator communities as genuine partners in building new products and capabilities. For organizations serious about open innovation strategy, these communities represent a vast, largely self-organizing source of expertise and creative energy.
Open-source software development demonstrated the model first. Linux, Apache, Python, and countless other foundational technologies were built through distributed contribution, not centralized R&D. The quality and pace of innovation produced by large open-source communities has consistently rivaled and often surpassed what proprietary development teams could achieve.
The lesson has spread. Platforms like Salesforce, Shopify, and Apple have built entire innovation ecosystems around developer communities. When Salesforce launched its AppExchange, it effectively turned its customer base into a product development engine, with thousands of developers building applications on top of its platform. The company didn’t need to imagine every use case: the community did it, and the platform became exponentially more valuable as a result.
Creator communities are extending this principle beyond software. In hardware, Arduino and Raspberry Pi communities have driven innovation in embedded systems and IoT that no single company could have generated. In content and media, creator platforms have transformed distribution and format innovation in ways that traditional studios missed entirely.
For organizations looking to tap into these communities, the design of the relationship matters enormously. The most successful developer and creator ecosystems are not extraction engines: they create genuine value for contributors through revenue sharing, recognition, access, and influence over the direction of the platform. Developers who feel like partners, rather than contractors, produce higher-quality and more innovative output. The community needs to win for the platform to win.
Designing and Managing Network-Based Innovation Pipelines
Recognizing the value of an open innovation strategy is one thing. Building the organizational capability to execute it is another challenge entirely.
A network-based innovation pipeline looks different from a traditional stage-gate R&D process. Instead of a linear flow from research to development to launch, it involves multiple simultaneous inputs from different ecosystem partners, each operating at different speeds and with different incentive structures. Managing that complexity requires new roles, new processes, and new metrics.
Some organizations have responded by creating dedicated open innovation or ecosystem functions: teams whose explicit purpose is to identify, cultivate, and manage external innovation relationships. These teams act as brokers between the external ecosystem and the internal organization, translating external insights into internal action and ensuring that promising collaborations don’t die in the gap between a business unit’s quarterly priorities and a partner’s long-term research agenda.
Technology platforms play an increasingly important role in managing network-based pipelines. Innovation management platforms like Hype, IdeaScale and Brightidea help organizations capture and evaluate ideas from distributed contributors. Collaboration tools, virtual co-creation environments, and shared data infrastructure reduce the friction of working across organizational boundaries.
Metrics need to evolve too. Traditional R&D measurement focuses on inputs (headcount, spend) and long-term outputs (patents, product launches). Ecosystem-based innovation requires tracking a richer set of signals: the quality of the partner network, the speed of the collaboration pipeline, the rate at which external ideas progress into internal development, and the commercial outcomes generated by partnership. Without the right measurement framework, it’s easy to invest in ecosystem activity without knowing whether it’s actually working.
Building Your Open Innovation Strategy: What to Do Next
The shift toward ecosystem-based innovation does not mean dismantling your internal capabilities. Deep expertise, proprietary knowledge, and internal R&D still matter, particularly for core technology development and the refinement of existing product lines. The question is what sits around those internal capabilities.
The organizations gaining the most from distributed innovation are those that have made a conscious architectural choice: they’ve decided that their competitive advantage lies not only in what they know internally, but in the quality of the network they can convene and the speed with which they can translate collective intelligence into commercial output.
That requires investment in areas most organizations have historically undervalued: relationship management, partnership design, open platform development, and the governance structures that make cross-boundary collaboration trustworthy and productive. It also requires a culture shift.
Internal teams need to see external partners as genuine contributors to innovation rather than threats to their relevance, and leadership needs to reward collaborative innovation rather than just internal invention.
The companies that will lead in their sectors over the next decade are unlikely to be those with the largest R&D departments. They’ll be the ones with the most vibrant, well-designed innovation ecosystems: networks of partners who bring complementary capabilities, diverse perspectives, and distributed intelligence to the shared challenge of building what comes next.
Innovation has always been a collective human achievement. We’re simply building the organizational structures to reflect that reality.
Is your organization actively developing an open innovation strategy, or still relying primarily on internal R&D? We’d love to hear where you are in that journey — and what has surprised you along the way. Please share your thoughts with us.
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