So after working through the values of the Innovation Ecosystem over a series of three posts I asked Chat GPT to help me in making a pitch for the change from existing internal orientated innovation processes and structures.

I wanted to go way beyond just “open innovation” here, I wanted to provide a compelling set of reasons to make this move or accelerate this into reality.

Does this resonate with you? Are you moving along this journey of change seeing the reasons and lasting potential?

Unlocking the Full Potential of Innovation: Why an Innovation Ecosystem Outperforms Traditional Internal Innovation Structures and Systems

In today’s rapidly evolving market landscape, relying solely on internal innovation systems can limit your organization’s ability to stay ahead of the curve.

Firstly, a great podcast based on this post, its worth listening through.

I asked Google Notebook LM to discuss this pitch through their own AI research assistants to do a deep dive on this and they gave this their perspective, in a 17 minute podcast on this Innovation Ecosystem value.

The podcast gives a good perspective of why Innovation Ecosystems are important today and what you need to do. It further covers aspects discussed within the series of posts in drawing out benefits and challenges and the relevancy and why you should care. Finally going about applying Innovation Ecosystems, looking to possibly get external help and how and where to apply this thinking.

This is my pitch outline

“While internal structures have their strengths, they often operate in silos, restricted by limited perspectives, resources, and risk appetite. An innovation ecosystem, on the other hand, opens the door to a world of opportunities that can supercharge your innovation capabilities and deliver sustainable, long-term growth.

Here’s why you should consider transitioning from a closed internal system to a vibrant, interconnected innovation ecosystem:

1. Access to a Wealth of Diverse Expertise

Innovation ecosystems bring together a rich tapestry of talents and expertise from diverse sectors, industries, and disciplines. Unlike internal teams, which may be constrained by their specific knowledge and experience, ecosystems allow you to tap into cutting-edge research, emerging technologies, and fresh perspectives from a broad network of participants. This diversity fosters creativity, accelerates problem-solving, and leads to more groundbreaking and market-ready innovations.

2. Accelerated Innovation and Speed to Market

In an innovation ecosystem, shared resources, collaborative platforms, and agile development processes dramatically reduce the time it takes to move from idea to implementation. This accelerated pace means you can outmaneuver competitors, seize market opportunities more quickly, and capture first-mover advantages that are critical in today’s fast-paced environment. Your internal system may excel at refinement, but ecosystems excel at speed and agility.

3. Risk Mitigation and Shared Investment

Innovation is inherently risky, and bearing that risk entirely within your organization can stifle bold, transformative ideas. In an ecosystem, risks are shared among various stakeholders, enabling your organization to pursue more ambitious projects without the fear of jeopardizing your core business. Additionally, ecosystems attract diverse funding sources, from venture capital to public grants, further spreading risk and increasing the likelihood of success.

4. Enhanced Market Connectivity and Scalability

Traditional internal structures may struggle to quickly adapt innovations to new markets or scale them effectively. Ecosystems, however, provide direct access to vast networks of partners, customers, and distribution channels, enabling you to scale innovations rapidly and efficiently. Whether it’s entering a new geographic market or reaching a broader customer base, ecosystems provide the connectivity needed to expand your innovation’s impact.

5. Continuous Learning and Adaptive Innovation

An innovation ecosystem fosters a culture of continuous learning, where insights, feedback, and new knowledge flow freely among participants. This environment not only helps you stay at the forefront of emerging trends and technologies but also makes your organization more adaptable to change. In contrast, internal systems can become rigid over time, potentially missing out on disruptive innovations or shifts in the market.

6. Holistic Value Creation and Sustainability

Innovation ecosystems are designed to create value that goes beyond short-term financial gains. By aligning innovation efforts with broader societal goals—such as sustainability, social impact, and ethical responsibility—ecosystems ensure that your innovations are not only profitable but also contribute positively to the world. This holistic approach to value creation enhances your brand reputation, builds long-term customer loyalty, and positions your organization as a leader in responsible innovation.

7. Strategic Advantage in a Competitive Landscape

In a world where competitive advantage is increasingly defined by the ability to innovate, joining or creating an innovation ecosystem positions your organization at the heart of industry-wide advancements. It allows you to shape the future direction of your market, influence emerging standards, and stay ahead of disruptive forces. While internal innovation systems focus on incremental improvements, ecosystems empower you to lead transformative change.

Summing up the pitch

By embracing an innovation ecosystem, you’re not just enhancing your existing capabilities—you’re transforming your entire approach to innovation. This shift opens up new avenues for growth, mitigates risks, and ensures that your organization remains agile, competitive, and relevant in an ever-changing world.

In contrast to the limitations of internal structures, an innovation ecosystem offers a dynamic, interconnected, and resource-rich environment that’s essential for driving meaningful, sustainable innovation.

Making this transition could be the key to unlocking your organization’s full innovation potential and securing its future success.”

**End of pitch.

I have written three posts so far on building this argument of moving towards an Innovation Ecosystem in mindset, approach, value and reasons

The first was providing examples of the move from open innovation to innovation ecosystems in “Moving from Open Innovation to Innovation Ecosystems , the second was “Recognizing the distinguishing points of Innovation Ecosystems” and following on with “Innovation Ecosystems need you to engage and openly embrace?” I followed up with this pitch proposal outlined here: “Pitch me on why Innovation Ecosystems are better than my present innovation approach”

This is the final post in a four-part Innovation Ecosystem series moving beyond “just” open innovation into recognizing the value and potential in adopting this Innovation Ecosystem thinking and design, outlining the benefits.

*** I was supported by Chat GPT in helping in the structuring and validating of this thinking within the series build and also in the discussion generated from Googles AI research assistants and their podcast.

The post Pitch me on why Innovation Ecosystems are better than my present open innovation approach first appeared on Building Your Innovation & Ecosystem Intelligence.

Within a short series about Innovation Ecosystems this post asks what really are the distinct differences within innovation ecosystem thinking and design, to provide a set of common distinguishing points to move from “just” open innovation.

What distinguishes an innovation ecosystem and makes it a must-have, is its ability to create a highly interconnected, dynamic, and supportive environment where innovation can flourish.

Is it access to knowledge, markets, opinions or is it spreading risk and resource sharing or enabling the flows in knowledge, ideas, capital- what else really distinguishes it and makes it a must to have. What sets an innovation ecosystem apart?

What truly distinguishes an innovation ecosystem and makes it essential are several interrelated factors that together create a unique environment where innovation can thrive.

Here’s a deeper dive into what sets an innovation ecosystem apart:

1. Access to Diverse Knowledge and Expertise

• Collective Intelligence: Innovation ecosystems bring together diverse participants with different expertise, experiences, and perspectives. This collective intelligence fuels creativity and problem-solving by enabling the cross-pollination of ideas across disciplines and industries.
• Knowledge Flows: Ecosystems facilitate the free flow of knowledge and ideas among participants, which accelerates learning and the development of new concepts. The ability to access cutting-edge research, market insights, and technical know-how from a wide network is a key driver of innovation.

2. Resource Sharing and Efficiency

• Shared Infrastructure: Participants in an ecosystem can access shared resources such as research facilities, incubators, digital platforms, and intellectual property. This resource sharing reduces costs, minimizes duplication of efforts, and allows even smaller players to participate in high-stakes innovation.
• Efficient Use of Capital: Ecosystems attract investment by reducing risks associated with innovation. Investors are more willing to fund projects within a thriving ecosystem because they see the support network and collaborative potential as reducing the likelihood of failure.

3. Risk Mitigation Through Collaboration

• Spreading Risk: In an ecosystem, risks associated with innovation are distributed across multiple participants. This shared risk allows for bolder experimentation and innovation, as the potential downsides are not borne by a single entity.
• De-risking Innovation: By involving diverse stakeholders, including regulators and end-users, early in the innovation process, ecosystems help identify and mitigate potential risks before they become critical issues. This makes the path to market smoother and more predictable.

4. Dynamic Interactions and Adaptive Capacity

• Network Effects: The interconnectedness of an ecosystem means that as more participants join, the value of the ecosystem increases. This dynamic interaction fosters a virtuous cycle where innovation begets more innovation, creating a continuously evolving and expanding ecosystem.
• Agility and Adaptability: Ecosystems are naturally adaptive due to their diversity and interconnectedness. They can quickly respond to changes in technology, market conditions, or societal needs, making them more resilient and better equipped to sustain long-term innovation.

5. Market Access and Scalability

• Market Connectivity: Ecosystems provide participants with easier access to markets through established networks and platforms. This connectivity allows innovations to scale more quickly, as ecosystem participants can leverage each other’s distribution channels, customer bases, and partnerships.
• Global Reach: Well-developed ecosystems can extend beyond regional or national borders, enabling innovations to reach global markets. This global connectivity is crucial for scaling innovations and maximizing their impact.

6. Innovation Speed and Efficiency

• Accelerated Development Cycles: The shared resources, knowledge flows, and collaborative environment of an ecosystem significantly speed up the innovation process. Rapid prototyping, testing, and iteration are possible because of the concentrated support and expertise within the ecosystem.
• First-Mover Advantage: Ecosystems often enable faster market entry, allowing participants to capitalize on first-mover advantages in emerging markets or technologies. This speed can be a critical differentiator in competitive industries.

7. Cultural and Behavioral Shifts

• Innovation Culture: Ecosystems foster a culture of innovation where experimentation, collaboration, and continuous learning are valued and encouraged. This culture permeates all participants, leading to more innovative mindsets and behaviors across the board.
• Collaborative Competition (Coopetition): Ecosystems encourage a balance between competition and collaboration. While participants may compete in certain areas, they also collaborate in others, leading to mutual benefits and collective progress that would not be possible in a purely competitive environment.

8. Holistic Value Creation and Impact

• Economic, Social, and Environmental Impact: Ecosystems are uniquely positioned to create value that is not just economic but also social and environmental. By addressing complex global challenges, such as sustainability or healthcare, ecosystems generate innovations that have broad, long-lasting impacts.
• Alignment with Societal Goals: Ecosystems often align innovation efforts with broader societal goals, such as sustainability, equity, or public health. This alignment ensures that the innovations emerging from the ecosystem are not only profitable but also socially responsible and impactful.

9. Institutional Support and Policy Alignment

• Policy and Regulatory Support: Innovation ecosystems often benefit from favorable policies and regulatory environments that encourage experimentation and reduce bureaucratic hurdles. Governments and institutions may provide incentives, grants, and frameworks that further support ecosystem growth.
• Public-Private Partnerships: These partnerships are often a hallmark of innovation ecosystems, where public entities collaborate with private companies to drive innovation in areas that serve the public interest, such as infrastructure, education, or healthcare.

10. Long-Term Sustainability and Resilience

• Sustainable Innovation: By focusing on long-term goals and fostering innovation that addresses pressing global challenges, ecosystems contribute to sustainable development. This focus ensures that the innovations generated are not just viable in the short term but are also sustainable and resilient in the long run.
• Resilience to Disruption: Ecosystems are better equipped to handle disruptions—whether technological, economic, or environmental—because of their adaptability, diversity, and interconnected nature. This resilience is increasingly important in a rapidly changing world.

Conclusion What distinguishes an innovation ecosystem and makes it a must-have is its ability to create a highly interconnected, dynamic, and supportive environment where innovation can flourish.

It is finding the unique combinations that work for you. That unique combination of diverse knowledge, resource sharing, risk mitigation, market access, and a collaborative culture enables ecosystems to drive innovation more effectively than isolated efforts.

Building out your depth of Ecosystem understanding

A depth in understanding ecosystem thinking and design enables the Innovation Ecosystem environment not only to flourish but also accelerates the pace of innovation. You build out its dynamics and interactions needed

It is principled on ensuring that the innovations created are impactful, sustainable, and aligned with broader societal needs. In a world where the complexity of challenges and the pace of change are ever-increasing, innovation ecosystems are essential for driving

This is a second post on Innovation Ecosystems within a short series of four. The first one here “Moving from Open Innovation to Innovation Ecosystems highlight a number of organizations making the move towards their Ecosystem structures.

The next follow-on post to this is “Innovation Ecosystems need you to engage and fully embrace” with a final post of “Come on pitch me, why Innovation Ecosystems are better than my present innovation approaches”

The post Recognizing the distinguishing points of Innovation Ecosystems first appeared on Building Your Innovation & Ecosystem Intelligence.

Navigating complexity within the realm of Dynamic Ecosystems.

We all recognize that markets are changing, complexity is growing, and challenges are more formidable to manage without extended help. This requires all businesses to face rapidly changing business environments to design their response rates and abilities to react differently. How radical will this be?

Recognizing critical aspects provides organizations with a strategic framework that not only recognizes the challenges of complexity but actively leverages the dynamic nature of the ecosystem we need to build, to thrive in the future. To achieve this we need to break down existing complexity.

Complexity matters in recognizing what it inhibits and what needs unbundling so any future design of an organization or process is (attempting) to put into place the right processes, skills, and culture to make them more responsive, or dynamic. In any future design we can’t continue to behave in linear ways.

If you can begin to identify complexity that hampers effectiveness, you can start to remove it. What you have to be very clear upon is having a complete understanding, or a well informed one on all the effects of the complexity part you are removing to enable and find the best route to value and often innovation

It is the connecting up of opportunities with the ability to design the solution in highly exploratory and exploitative ways of learning that begin to break down complexity and see new ways to evolve. This is where Ecosystems in thinking and design come in in the form of Dynamic Ecosystems for unpacking and then managing innovation. These are linkages between navigating complexity and applying dynamic ecosystem approaches.

Here, knowing the critical differences within Dynamic Ecosystems. Dynamic ecosystems can accelerate and leverage growth, shape strategies, and significantly contribute.

Recognizing how to navigate complexity needs its parts to be identified so they can be replaced with the following in a dynamic ecosystem setting.

**1. Agile Organization Structures:

• Clarification: In navigating complexity, an Agile Organization Structure within a Dynamic Ecosystem ensures that the organization can swiftly respond to intricate challenges, adjust strategies, and maintain a nimble approach to ever-changing conditions.

**2. Continuous Learning:

• Clarification: Navigating complexity requires a continuous learning mindset. Dynamic Ecosystems explicitly acknowledge the need for ongoing learning, adaptation, and the incorporation of new insights to navigate through the intricacies of a complex environment.

**3. Evolving Change Management:

• Clarification: Dynamic Ecosystems redefine change management as an ongoing, dynamic process rather than a one-time event. Organizations navigating complexity within a dynamic ecosystem proactively manage change, fostering resilience and adaptability.

**4. Responsiveness to Complexity:

• Clarification: Explicitly recognizing and responding to complexity is a core principle of Dynamic Ecosystems. This approach ensures that organizations are equipped to navigate through intricate challenges, leveraging the dynamic nature of the ecosystem to find innovative solutions.

**5. Proactive Risk Management:

• Clarification: Navigating complexity involves anticipating and managing risks proactively. Dynamic Ecosystems encourage a forward-thinking approach to risk management, ensuring that organizations are prepared to address potential challenges before they escalate.

**6. Strategic Flexibility:

• Clarification: Strategic flexibility is a key element in navigating complexity. Dynamic Ecosystems provide a strategic framework where organizations can dynamically adjust their strategies to navigate through the complex and unpredictable business landscape.

**7. Network Thinking:

• Clarification: Navigating complexity requires a shift from linear thinking to network thinking. Dynamic Ecosystems explicitly promote the idea that success is often contingent on interconnected relationships and the leverage of network effects.

**8. Innovation Coherence:

• Clarification: Innovation coherence within a Dynamic Ecosystem ensures that innovation efforts are aligned with the dynamic needs of the ecosystem. This alignment contributes to an organization’s ability to navigate complexity by fostering a culture of innovation that is responsive to changing conditions.

By incorporating these elements through the concept of Dynamic Ecosystems, the approach to navigating complexity becomes more explicit and focused, it gives a framing to recognize where complexity actively leverages the dynamic nature of the ecosystem to thrive in such an environment.

Each of these needs ‘actively’ managing differently, for all the future opportunities it holds, by placing emphasis on building more exceptional innovation capabilities to make it ‘dynamically’ work and embracing dynamic ecosystems can help in this, to specifically address critical aspects of complexity.

The post Breaking Down Complexity to allow Dynamic Ecosystems for Innovation. first appeared on Building Your Innovation & Ecosystem Intelligence.

Designing a Composable Innovation Framework

During May and June 2023, I worked through and concluded my thinking on why we needed to change our Innovation approach. A radical change from far to often a linear one, into a new, more up-to-date, and dynamic solution for managing innovation.

This solution recognises that innovation discovery all the way through to implementation is now so often non-linear and that is causing plenty of problems connecting all the understandings fully up in one manageable place

I have called this the Composable Innovation Framework– here is why and what went into this proposal that I feel should be adopted for managing innovation in the future.

As the investigation, validation, and viewpoints were built up over numerous posts I am summarising the series here

We need to shift our innovative thinking from static to dynamic.

These are the critical reasons we need a radical change in our innovation approaches

1. We have been in very static, traditional approaches to innovation, very segmented and often insular. As so often happens in innovation, it has complexities that seemingly grow and require multiple changes. There are far more rapid changes in the business landscape and our current innovation process often breaks down as it struggles to adjust and adapt to new data, validation and thinking. The ability to regain control across the whole development to delivery lifecycle is time consuming and resource intensive, mistakes happen, updates are missed or misunderstood and the end result is less that optimum.
2. We need systems and processes that are flexible, adaptable, and can enable continuous improvements but are fully connected, transparent, and integrated across the entire business. We need to approach innovation differently through connected agility, have speed and automation more central, and provide roles for a great diverse set of participants.
3. We need a system that encourages forming strategic alliances, partnerships, and knowledge sharing to drive innovation and create shared value in open, thoughtful, and collaborative ways. This is where technology enables these connections and triggers different thinking in the quest for moving toward more extraordinary valuable solutions—the “connected” value of behaviours thinking ecosystems and operating on collaborative platforms.
4. We need to encourage highly collaborative environments and organisations can consistently leverage the collective intelligence of many, find and draw in a variety and diverse set of resources, both inside and outside the organisation, and access different expertise all working within the same ecosystem and platform configuration.

This comes through the power of innovation ecosystem thinking

The principles of this Composable Innovation Framework are the recognition and value of having a building block and innovation stack design.

These blocks and stacks that house the fundamental thinking through elements and capabilities required and enable the interconnected layers of process, technologies, and resources to leverage and support the innovation efforts from concept to commercialisation and beyond on sustainable approaches.

The shift to platform thinking gives the potential for scalable and flexible foundations for collaboration, integration, and value creation. The platform enables organisations to connect different stakeholders, leverage external resources and facilitate the exchange of ideas and solutions.

We need a radically different comprehensive innovation system solution.

Innovation design does need a comprehensive solution to address the complexities of modern innovation. You gain the ability to integrate the principles of dynamic thinking, ecosystem collaboration, building block, and innovation stack thinking in their approaches where technology plays an essential role, and the foundations of a platform design to enable organisations and the individuals involved to navigate challenges and seize the opportunities in a more robust and vigorous innovation management approach.

The Composable Innovation Enterprise framework aims to overcome the limitations of current traditional approaches to innovation (software) design. It focuses on collaboration, interconnectedness, and shared value creation within an innovation ecosystem.

This encourages a significant shift in mindset, culture, and potential within software solutions. It allows organisations to dynamically assemble (and reassemble) and reconfigure their innovation processes and resources constantly to adapt to the knowledge and discovery of innovation as it reveals itself in new insights and potential.

The beauty is that it is designed on a platform that scales, allows scope and flexibility, collaboration and diversity of thought, and encourages speed in knowledge exchanges and activities from its technology design.

The build-up and validation in the Composable Innovation Enterprise Framework.

In my series of posts, I went through the approach and built up in this order towards the conclusion of recommending a Composable Innovation Enterprise Framework so it can be understood in the detailed exploration of this design:

This complete approach and thinking is found in this comprehensive summary post

The final perspective proposes the Composable Innovation Framework as a comprehensive approach to address the complexities of innovation management, and then I went into a new post-launch series.

Visualising Composable Innovation: The final post I wrote visually represents the Composable Innovation Enterprise Framework. This visual aid helps stakeholders grasp the overall structure, flow, and interconnectivity of the innovation building blocks, enabling them to explore potential combinations effectively.

Conclusions and Recommendations to You

The emphasis is its ability to revolutionise traditional innovation practices by providing a dynamic, scalable, and agile approach. Using modular components allows organisations to experiment, learn from failures, and optimise their innovation efforts continuously.

Advocating a radical shift in our designing the way we manage Innovation

Composable Innovation advocates for a radical yet practical change in innovation management. Organisations can unlock their true innovation potential by adopting a Composable Innovation Enterprise Framework.

This approach enables adaptability, scalability, and continuous learning, propelling businesses to stay ahead in today’s fast-paced and ever-changing market landscape. Embracing Composable Innovation is the key to future-proofing innovation efforts and driving sustainable growth in the digital age.

Amended from an earlier post at the end of the series summarized with links above

The post Recommending we change to the Composable Innovation Framework first appeared on Building Your Innovation & Ecosystem Intelligence.

Open up your CEO’s innovating thinking to make the jump

Innovation must rely increasingly on interconnected organizations organized around a central focal point of value and impact. An ecosystem design should be in thought and design so that organizations can act differently on strategies, business models, leadership, and customer engagement to build new value and worth.

If we fail to recognize that innovation is vital to our business, to sustain it, and to enable it to grow, we eventually die. Today, more than ever, it is becoming an evolving collective endeavour. Increasingly, we are faced with growing complexities and challenges to resolve.

We need to foster collaboration between individuals, organizations, and institutions, creating a symphony of ideas that resonate far beyond the boundaries of any single actor.

I recommend thinking around innovation ecosystems as this has many advantages;

1. Greater access to a broader range of resources and expertise through the bringing together of a diverse set of organizations that can bring together technologies and customer insights from different perspectives. Also drawing in different resources not usually available to one organization offers a more significant potential to innovate more effectively, in choice, options, shared thinking and risk.
2. Increased collaborations and co-creation through innovation ecosystems can foster the more significant potential for collaborations and co-creations between associated parties that can “trigger” innovations that feed from these growing cooperations forming between the parties.
3. Greater scalability and speed. By leveraging the resources and capabilities of other organizations, the potential to scale the innovation efforts in new ways, across different channels, not open to one organization. It provides different levels of speed from the established one existing in the single organisation and capitalizes on the diversity of different reputations the partners have built up in their respective markets.
4. Greater flexibility and adaptability in different, more collective and imaginative ways. Multiple alerts to market changes, conditions and customers’ needs can stimulate a growing adaptability and solution design, more modular or progressive in response.
5. Greater potential for sustainability and social impact. Innovation ecosystems increasingly need to be designed to offer more sustainable and socially responsible solutions. Having partners who manage different parts of the lifecycle can create opportunities in designing redundancy and ease of replacement that extends and expands a product’s solution, giving an ongoing positive impact while achieving reoccurring business success.

So why do open innovation strategies have real potential to take innovation into business ecosystems? The CEO needs to understand innovation ecosystems:

• Expand Innovation Horizons:
  • Rationale: Open Innovation Strategies broaden the scope of innovation by tapping into diverse external sources. This expansion enhances the potential for breakthrough ideas and disruptive innovations.
• Leverage External Expertise:
  • Rationale: Embracing external collaborators, whether individuals or organizations, brings diverse expertise. This collective knowledge enhances problem-solving capabilities and fosters creative solutions.
• Accelerate Time-to-Market:
  • Rationale: Open Innovation allows for faster access to new technologies and ideas. By leveraging external resources, companies can reduce time-to-market for innovative products and services.
• Enhance Competitiveness:
  • Rationale: Staying ahead in the competitive landscape requires constant innovation. Open Innovation Strategies provide a competitive edge by harnessing external intelligence and staying attuned to industry trends.
• Adaptability and Resilience:
  • Rationale: In a rapidly changing business environment, organizations must be adaptable. Open Innovation fosters adaptability by facilitating access to a diverse pool of external resources that can help navigate uncertainties.

Open collaboration must be at the forefront of the CEO’s mind when opening up to innovation ecosystems.

Innovation must rely increasingly on interconnected organizations organized around a central focal point of value and impact. An ecosystem design so organizations can act differently on strategies, business models, leadership, and customer engagement to build new value and worth.

The result has the potential to be so much better than the sum of all the existing parts, often siloed and not connected up—it magnifies the sum significantly!

The post Where does open collaboration figure at the top of the CEO’s thinking today? first appeared on Building Your Innovation & Ecosystem Intelligence.

I have been undertaking a significant revamp of two pivotal frameworks I have been building in the past twelve months that move towards Ecosystem thinking and design.

Part of this has been a renaming. I explained the Composable Innovation Enterprise concept in several posts last year. I have now shortened it to the Composable Innovation frame within its new positioning role, which is more central to applying the thinking towards Innovation Ecosystems.

The other has been the Hierarchy of Business Ecosystems, renamed the Interconnected Business Ecosystem framework. The shift in terminology reflects a more modern, network-centric view of business operations and strategy. I will outline this change more on my Ecosystem posting site.

This post explores the Composable Innovation Framework specifically

The purpose of the Composable Innovation Framework is to provide a comprehensive and dynamic approach to innovation management. ​

It addresses the limitations of traditional innovation and management approaches, emphasizing collaboration, interconnectedness, and shared value creation within an innovation ecosystem. ​

The post “Visualizing the Composable Innovation Framework” provides the series summary and complete explanation of the framework at the time of this framework launch.

The framework focuses on flexibility, adaptability, and modularity, breaking down complex innovation processes into smaller building blocks that can be combined and reconfigured. ​ It leverages technology, design thinking, and collaboration to drive innovation and achieve sustainable value and impact in the rapidly changing business landscape. ​

The emphasis is on applying Stacks and Building block thinking.

The Innovation Stack comprises modular building blocks that support different stages of the innovation process. ​

This post explains the differences between the two, “Identifying Key Component Relationships of Innovation Stacks and Building Blocks.“

These building blocks include the different layers or processes we go through. These are the Discovery Layer, Idea or Concept Layer, Problem Validation Layer, Solution Development Layer, Business Model Design Layer, and Execution Layer. ​

These layers and elements address various tasks and challenges in the innovation process, such as identifying opportunities, generating ideas, validating problems, developing solutions, designing business models, and executing the innovation. ​

Designing for maximum flexibility

The Innovation Stack is flexible and can be customized to meet an organisation’s specific needs. ​Its flexibility is one of its key strengths, allowing it to be adapted to various organizational needs and contexts.

The key to best using this innovation stack is to view it as a flexible guide rather than a rigid process. It should be adapted to fit your organization’s specific needs, culture, and goals. Regular review and refinement of how you’re using the stack will ensure it continues to add value to your innovation efforts over time.

Here’s how it can be flexible and how it can best be used:

Flexible Modular Approach: Each layer can be treated as a module that can be emphasized or de-emphasized based on specific needs. Organizations can focus more on certain layers depending on their strengths or current challenges.

Non-Linear Application: While the layers suggest a logical progression, they don’t have to be strictly sequential. Teams can move back and forth between layers as needed, allowing for iteration and refinement.

Scalability: The stack can be applied to both small, incremental innovations and large, disruptive projects. Depending on the scope and resources available, it can be scaled up or down.

Customization: Organizations can add sub-layers or specific tools within each layer to suit their unique processes. The terminology and focus of each layer can be adjusted to align with an organization’s culture and language.

Integration with Existing Processes: It can be integrated with other methodologies, such as Agile, Design Thinking, or Lean Startup principles.

The aim of this Composable Innovation Framework

In my view, its design and focus on Innovation Stacks and Building Blocks organized into specific layers show real potential improvements over existing frameworks.

Briefly, here’s an analysis of its strengths and potential advantages:

1. Comprehensive Coverage: The framework covers the entire innovation process from discovery to execution, which is more comprehensive than some existing models that might focus more on creativity and ideation or, separately, implementation alone.
2. Flexibility and Adaptability: The modular nature of the building blocks and layers allows for greater flexibility than more rigid, linear models. This adaptability is crucial in today’s fast-changing business environment.
3. Alignment with Modern Business Practices: The composable approach aligns well with current trends in business and technology, such as agile methodologies and microservices architecture.
4. Balance of Structure and Creativity: It provides a structured approach without stifling creativity, which can be challenging in some traditional innovation frameworks.
5. Scalability: The framework appears scalable and applicable to both small projects and large-scale innovations, which is an improvement over one-size-fits-all approaches.
6. Integration of Business Model Design: Including a Business Model Design layer addresses a standard gap in many innovation frameworks that focus solely on product or service development.
7. Problem-Centric Approach: Including a Problem Validation layer emphasizes the importance of solving real, validated problems, which can lead to more impactful innovations.
8. Focuses on Ecosystem Thinking: If it incorporates ecosystem thinking, as mentioned earlier, this would be a significant improvement over frameworks that focus solely on internal processes.
9. Potential for Better Resource Allocation: The layered approach could allow for more efficient resource allocation across different stages of innovation.
10. Improved Communication: A clear structure and terminology could facilitate better communication about innovation across an organization.

While this framework shows promise, its actual value would be determined by its ease of adoption and integration, its to drive tangible improvements in innovation outcomes and its adaptability to different industries, challenges and organizational sizes

Additionally, as with any new framework, there might be a learning curve and potential resistance to change that organizations would need to manage.

The framework’s central role in the Interconnected Business Ecosystem

Integration Strategy: Given these new dimensions, we can integrate the Composable Innovation Framework with the Interconnected Business Ecosystem Framework by:

1. Positioning it as the “connective tissue” for innovation across the entire interconnected ecosystem.
2. Emphasizing its role in facilitating innovation flows between different parts of the ecosystem, including external partners and stakeholders and the business, dynamic and enterprise ecosystem layers.
3. Highlights how it enables rapid reconfiguration of innovation capabilities in response to changes in any part of the interconnected ecosystem.
4. It showcases its ability to tap into and leverage diverse resources and capabilities across the ecosystem for innovation.
5. Demonstrate how it supports value co-creation with various ecosystem partners through its flexible and adaptable nature.
6. Illustrates how it contributes to overall ecosystem health by ensuring that innovation efforts are aligned with and responsive to the needs of the entire interconnected system.

This repositioning adds a more dynamic, collaborative, and systemic dimension to how we view and implement the Composable Innovation Framework. It’s no longer just about structuring internal innovation processes but about weaving innovation capabilities throughout the fabric of an interconnected business ecosystem.

This new perspective aligns well with contemporary business thinking about ecosystems, networks, and collaborative value creation. It positions the Composable Innovation Framework as a key enabler of innovation in a more open, collaborative, and interconnected business world.

Here’s a powerful narrative to justify this framework shift to senior leadership:

“In today’s rapidly evolving business landscape, innovation is no longer just a function—it’s the lifeblood of our organization’s future. The Composable Innovation Framework isn’t merely a new approach to innovation; it’s a fundamental reimagining of how we create value and maintain competitiveness in an increasingly complex and unpredictable world.

“This framework shift is about more than improving our innovation processes. It’s about transforming our business ecosystem to become more adaptive, resilient, and future-ready. By embracing this composable, ecosystem-driven approach, we’re not just preparing for the future—we’re positioning ourselves to shape it.”

“Consider the challenges we face: disruptive technologies emerging at an unprecedented pace, global crises reshaping markets overnight, and customer expectations evolving faster than ever. Our current innovation models, while they have served us well, simply are not designed for this level of complexity and change we face today and in the future.”

The Composable Innovation Framework addresses these challenges head-on. It allows us to:

• *Rapidly reconfigure our innovation capabilities in response to market shifts.
• *Tap into a broader ecosystem of partners, technologies, and ideas.
• *Dramatically reduce time-to-market for innovations.
• *Improve our ROI on innovation investments.
• *Attract and retain top talent in a competitive market.
• *Better align our innovation efforts with our overall business strategy.

But perhaps most importantly, this framework positions us to lead rather than follow. In an era where adaptability is the new competitive advantage, we can set the standard in our industry.

Offering the Composable Innovation Framework

I set out to offer this Composable Innovation Framework as a fresh, flexible, and comprehensive approach to innovation management. It is intended to address several limitations of existing innovation frameworks and significantly update them to meet modern connected business needs.

The shift requires significant change, but the cost of inaction is far greater as we rely upon and invest in Business Ecosystems in design and thînking.

If you want to explore this further, contact me through my contact Paul in the tabs.

The post We need to transform Innovation for the entire Business Ecosystem. first appeared on Building Your Innovation & Ecosystem Intelligence.

Thinking Partner Ecosystems in design and delivery. There is a need to resolve immediate, mid-term, and long-term issues to show progressive thinking on how to grow collaboratively. How to collaborate to deliver impact, and create value when building your thinking in products, services, or new business models on any Partner Ecosystem design and thinking. One methodology stands out for me: the three-horizon framework

Partner ecosystems are highly valuable for delivering on these ambitions. Partner Ecosystems enable you to go beyond addressing immediate and surface-level issues to tackle deeper, systemic challenges and position clients at the forefront of collaborative and co-creative approaches.

In my view, this requires a progressive mindset that considers growth, impact, and value across various time horizons. This mindset lends itself really well to applying the three-horizon methodology.

The concept of three-horizon modelling, which considers short-term resolutions, mid-term growth, and long-term impact and value creation, is particularly relevant in this context.

Immediate Needs / Short-Term Resolutions (Horizon 1):

• Partner ecosystems should address immediate challenges and resolve pressing issues, such as supply chain disruptions, resource shortages, or regulatory changes and compliance.

• However, these short-term solutions should be designed with a broader vision in mind, laying the foundation for more sustainable and scalable approaches in the future.

• The searching for underlying root causes or systemic issues that need to be recognized and addressed later as partner ecosystems can develop short-term solutions that address the immediate problem and lay the foundation for more sustainable and long-term solutions.

• Collaborations within the ecosystem should prioritize knowledge sharing and data transparency, enabling a deeper understanding of the power of openly collaborating and sharing insights,

Mid-term Strategies / Growth (Horizon 2):

• Partner ecosystems should focus on mid-term strategies that enable growth, innovation, and competitive advantage. This involves co-creating new products, services, or business models that leverage the collective expertise and resources of the ecosystem partners.
• Building on the insights from short-term collaborations, partner ecosystems should drive growth and innovation by co-creating new products, services, or business models that significantly increase competitive advantage.
• By extracting and exploiting ecosystem partners’ collective expertise, resources, and diverse perspectives to anticipate and respond to evolving market trends, customer needs, and technological advancements more effectively.
• Mid-term strategies should also consider the potential impact on various stakeholders, including employees, communities, and the environment, ensuring responsible and sustainable growth.

Long-term Vision, Impact and New Value Creation (Horizon 3):

• Partner ecosystems should develop a long-term vision that transcends immediate commercial interests and addresses broader societal and environmental challenges, often contributing to underlying causes.

• Initiatives on this horizon should focus on broader areas of concern and contribution to solving, such as climate change mitigation, social equality, public health, and sustainable development, ultimately contributing to preserving human life and well-being. This involves collaborating with diverse stakeholders, such as academia, government agencies, non-profit organizations, and local communities, to co-create solutions that have a lasting positive impact.

• By co-creating solutions with a positive and lasting impact, partner ecosystems can position themselves as leaders in their respective industries and contribute to creating a better future for all.

Recognize we need to “cut through” different issues over different time horizons

• To truly “cut through the issues” and position clients ahead in their thinking, partner ecosystems must embrace a holistic and progressive approach that addresses immediate needs while simultaneously working towards mid-term strategies and a long-term vision. This requires open communication, trust, and a shared commitment to collaboration and co-creation among all partners.

• By fostering an ecosystem that values growth, impact, and value across different time horizons, organizations can address current challenges, shape the future of their industries, and contribute to a more sustainable and equitable world.

The value of the three-horizon approach

By adopting a three-horizon approach, partner ecosystems can simultaneously address immediate needs, drive growth and innovation, and create lasting impact and value. This progressive mindset requires a holistic understanding of the interconnectedness of challenges, a commitment to continuous learning and adaptation, and a shared sense of purpose among all ecosystem partners.

This approach recognizes that tackling systemic challenges requires a long-term perspective and a willingness to embrace complexity. It acknowledges that short-term solutions alone are insufficient and that true transformation necessitates a multi-faceted approach considering various time horizons and stakeholder needs.

The power of this Partner Ecosystem approach is that you recognize that in each time horizon, it considers growth, impact, and value across partner thinking and contributions. It breaks down complexity from the diversity of opinions and ideas. The recognition of cause, effect, and systemic issues catalyze the thinking. They provide this collaborative effect, bringing collective intelligence.

Your time to act is now- why not?

If you are curious to find out more, then let’s make the initial contact.

I have entered into a collaborative partnership with SIA Partners on Partner Ecosystems. Combining expertise, connections, methodologies, capabilities, and client work in advising, mentoring, and consulting is exciting; in offering some genuinely unique IP methodology in concept designs, research, and industry and institution connections, a compelling service offering is emerging. We believe the diversity within the proven application and combined strengths offer much.

The time to engage to discuss what this might mean to different businesses, institutions, and societies requires radically new thinking. Partner Ecosystems can solve complex issues, make a real difference in enhancing lives, and, in many cases, save lives through collaborative efforts.

Why not contact SIA Partners or myself to have an opening discussion? Where we, as your forward-thinking partner, are capable of helping you navigate the intricacies of today’s landscape and being your catalyst for the future in driving transformative change through greater collaboration and co-creation.  

Together, we can explore the challenges and possible scenarios that would help you move rapidly forward on your partner ecosystem journey, resolve your challenges and advance your future role in society and the values and impact of what you can offer.

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The Three Horizon Methodology is discussed extensively here

The post The value of applying the Three Horizons to Partner Ecosystem thinking. first appeared on Building Your Innovation & Ecosystem Intelligence.

Dynamism and knowledge insights are crucial to unlocking and stimulating new ideas or thinking. It is all about actively shaping thoughts or insights to navigate the changing terrain.

We do need to actively navigate the rapidly changing business landscape in multiple ways it is not just about reacting to external forces. It’s about proactively shaping the direction and actively participating in the evolution of your industry, your positioning and your own insights.

In today’s rapidly changing business landscape, the ability to build a strong case, stay informed, and think critically is the key to unlocking success and driving innovation.

For me, this focus on the landscape for the future is marked by its dynamism. Here, market trends evolve, new technologies emerge, and consumer preferences shift lightning-fast.

Here for example I am outlining the five value enablers or outcomes this provides to build out a continuous learning approach towards shaping innovation dynamically.

We need to reflect upon how we actively shape our understandings:

1. Proactive vs. Reactive Mindset: Encourage your organization to shift from a reactive mindset to a proactive one. You should drive change and set the pace instead of merely responding to market shifts or industry disruptions. That requires a real dynamism.
2. Innovation as a Guiding Principle: Make innovation a core guiding principle. The most successful organizations embrace innovation as a continuous process, always seeking ways to improve products, services, and processes.
3. The Art of Anticipation: Highlight the importance of anticipating trends. Encourage your clients and customers to become trend-spotters, to give feedback observations and encourage those who can identify emerging opportunities before they become mainstream as essential partners to you
4. Strategic Partnerships: Emphasize the value of strategic partnerships and collaborations. By actively seeking partnerships, organizations can access new resources, markets, and expertise to help shape their industry and influence the future shape and their destiny within this.
5. Iterative Learning: Promote the idea of iterative learning. In a dynamic landscape, no strategy is set in stone. Encourage continuous feedback, challenge continually, adjust what you know, and find out what alters concepts, thinking, or business models. Do not wait; keep evolving to stay ahead of the curve.
6. Risk-Taking with Calculated Risks: Advise your audience on the power of taking calculated risks. Being proactive doesn’t mean being reckless. It means assessing risks, making informed decisions, and consistently stepping outside of comfort zones to make this a constant habit.
7. Storytelling for Inspiration: Encourage storytelling as a tool for inspiring action. A compelling narrative about the future and the potential impact of proactive strategies can motivate teams and stakeholders. Constantly share this, and update it when something new and invigorating emerges so the story keeps getting refreshed and updated.
8. Investing in Continuous Education: Continuous education should be an investment, not an expense. Highlight the long-term gains of investing in employees’ skills and knowledge. Constantly scan the horizon, dig deep, and keep being curious and excited about what this can bring that is different and adds new thinking and dimensions.
9. Cross-Functional Collaboration: Cross-functional teams can be powerful drivers of proactive change. Promote collaboration among teams with diverse skills and perspectives to tackle complex challenges and unravel tough and complex issues. Don’t avoid this “addressing complexity”. Meet it head-on.
10. Resilience as a Strength: Resilience is a key component of proactive success. Encourage your organization to view setbacks or unexpected changes as opportunities to learn and adapt. Be highly adaptive and determined to explore and exploit new dimensions of knowledge and experiences.

Dynamism and knowledge insights are crucial to proactively unlocking success, actively shaping any business landscape and stimulating innovation activities.

We can learn a fair amount from the Chinese in “dynamism” in how they approach their ecosystems and platforms for example. I wrote this some time ago but it does provide insights into how dynamism can actively shape what we do and think in approaching challenges. For me, the whole of Asia is highly dynamic.

Ultimately, being proactive and actively shaping the business landscape is about having a clear vision, being agile, and leading confidently and purposefully.

It’s a journey of continual growth, adaptability, and a commitment to staying ahead in a world where change is the only constant. Make it the “joy” of participating in shaping the future.

The post Actively shaping the innovation future with Dynamism and Knowledge first appeared on Building Your Innovation & Ecosystem Intelligence.

I have been asking Google’s Gemini a series of questions about innovation, how it has evolved in the past twenty-five years, and where it seems to be heading.

This is the third and final part of my questioning on looking towards the future and how innovation will evolve, starting from the original thread of looking over the evolution of innovation in the past twenty-five years, since 1999.

This post is about what has evolved and then what will evolve. There is a very different innovation pathway ahead of us, and then I touch upon a vastly different future at the end of this post.

Innovation will evolve very differently, linked tightly to the organization’s future design, no more cutting it loose, housed separately or outside the core.

Then, my question here is asking Gemini to go deeper into what has changed since 1999, more specifically, looking at the impact of Ecosystems, technology, and platforms.

I have shifted my thinking about innovation to Innovation and Business Ecosystem applications. I wanted to understand how this has evolved.

“Going deeper since 2019, innovation has certainly become more complex, interconnected, and driven by a diverse range of factors. Organizations must embrace a continuous learning, collaboration, and experimentation culture to thrive in this dynamic landscape. Ecosystems, Technology, Platforms, Cross-collaborations- how?”

“Sure, here is a breakdown of how ecosystems, technology, platforms, and cross-collaboration have changed since 2019:

Ecosystems

• From Closed to Open Ecosystems: Historically, innovation ecosystems were often closed, with companies operating within their own silos and collaborating with a limited set of partners. However, there has been a shift towards open ecosystems, where companies collaborate more openly with a wider range of stakeholders, including startups, research institutions, and even competitors. This openness fosters innovation by bringing together diverse perspectives and expertise.
• From Hierarchical to Decentralized Ecosystems: Traditional ecosystems were often hierarchical, with a few dominant players controlling the flow of information and resources. However, there is a trend towards decentralized ecosystems, where power is distributed more evenly among participants. This decentralization creates a more agile and responsive ecosystem that can adapt quickly to changing market conditions.
• From Linear to Interlinked Ecosystems: In the past, innovation ecosystems were often linear, with ideas flowing in a single direction from research to development to commercialization. However, there is a growing trend towards interlinked ecosystems, where ideas flow in multiple directions and cross-pollinate between different industries and disciplines. This interconnectedness accelerates innovation by breaking down traditional boundaries and fostering cross-fertilization of ideas.

Technology

• From Isolated Technologies to Convergent Systems: In the past, different technologies operated in isolation, with little interaction between them. However, there is a trend towards convergent systems, where different technologies are converging to create new and more powerful capabilities. This convergence is driving innovation by enabling the development of more sophisticated and integrated solutions.
• From Programmable Technologies to Data-Driven Technologies: Traditional technologies were often programmable, with limited ability to learn and adapt. However, there is a growing trend towards data-driven technologies, which can continuously learn and improve based on the data they receive. This data-driven approach is driving innovation by enabling the development of more intelligent and personalized solutions.
• From Physical Products to Digital Experiences: Traditional innovation focused on developing physical products, but there is a growing trend towards digital experiences. These experiences are delivered through software, hardware, and data, creating immersive and interactive experiences that are transforming industries such as entertainment, retail, and healthcare.

Platforms

• From Single Platforms to Multi-Platform Ecosystems: Platforms were once standalone entities, but there is a trend towards multi-platform ecosystems. These ecosystems integrate multiple platforms, enabling seamless user experience and cross-platform collaboration. This integration is driving innovation by expanding the reach of platforms and creating new opportunities for collaboration and innovation.
• From Centralized Platforms to Decentralized Platforms: Traditionally, platforms were centralized, with ownership and control concentrated in the hands of a few companies. However, there is a growing trend towards decentralized platforms. These platforms are built on distributed ledger technology, giving users more control over their data and privacy. This decentralization is driving innovation by creating new business models and enabling more secure and transparent transactions.
• From Closed Platforms to Open Platforms: In the past, platforms were often closed, with limited access and proprietary standards. However, there is a trend towards open platforms. These platforms share their data and APIs, enabling developers to create new applications and services. This openness is driving innovation by fostering a community of developers and creating a more vibrant ecosystem of innovation.

Cross-Collaboration

• From Intra-Organizational to Inter-Organizational Collaboration: Traditionally, collaboration was limited within organizations, but there is a growing trend towards inter-organizational collaboration. This collaboration is breaking down silos and fostering innovation by bringing together different perspectives and expertise from across different organizations.
• From Hierarchical Collaboration to Horizontal Collaboration: In the past, collaboration was often hierarchical, with clear lines of authority and decision-making. However, there is a trend towards horizontal collaboration. This collaboration is more egalitarian, with participants working together as equals to solve problems and share knowledge. This egalitarianism is driving innovation by creating a more dynamic and creative environment.
• From Tacit Collaboration to Explicit Collaboration: Historically, collaboration was often tacit, with knowledge and ideas exchanged informally. However, there is a trend towards explicit collaboration. This collaboration is more structured and formalized, with knowledge and ideas shared through documentation, data sharing, and joint projects. This explicitness is driving innovation by making it easier to capture and share knowledge, accelerating the pace of innovation.

I was looking for a validation here and got this summary:

“These changes in ecosystems, technology, platforms, and cross-collaboration are shaping the future of innovation. Organizations that can adapt to these changes and embrace these new approaches will be well-positioned to succeed in an increasingly complex and interconnected world”

Of course AI, immersive technology, the Metaverse are huge in their impact

Perhaps I have guided the answer to the question I asked, but it was asking more about the changes that we are grappling with so as to thrive in innovation in the future and whether it “confirms” my focus shift in the last few years.

As we look towards the future, we need a different perspective

Much of innovation will lie in our effective use of all that technology can provide and how we deal with it in the future. AI is the elephant in the innovator’s room, and we are currently figuring out how to harness it or let it loose. Is this going to be artificial intelligence or augmented intelligence?

Gemini touched on the shifts in human and data that will potentially combine to give us a different ability to visualize, experience, connect and explore a vastly different world of immersive and interactive exploration and experiments. Will ecosystems, platforms and collaborations just fade away in the background, just accepted as what is needed and expected?

I think we are badly positioned today to open up and collaborate in sharing environments and going through the orientation and differences is essential. Open innovation, championed by Henry Chesbrough, took years to establish.

We need to leverage the Open Ecosystem Innovation establishment, more interconnected and aligned to collaborative partners all working towards a common aim or solution, using technology and combining resources but this needs more integration with all parts of the business. Innovation is an Innovation Ecosystem play for future prosperity.

We have learnt that innovation cannot stay as the island of internal experts and highly skilled people are not able to deliver the “connected” needs of customers as the solutions are often complex and require multiple players contributing to the solutions needed. It needs to be thrown open” to the diversity of opinions and knowledge and connect to many dynamic strategic and operational interactions through interactions between organizations and individuals.

We can achieve this by enabling technology and platforms to be more central to the collaborating and partnering environment. Yet, the management methods and practices will need this network-type thinking, where value co-creation fosters sustaining growth. Interactions and concurrent collaborations require a different management comprehension.

There is a very different innovation pathway ahead of us

The network effect, collaborating spaces, and how we delineate innovation are all “up for grabs” as we figure out how to solve problems, more complex and challenging ones, that will find technology managing human interactions increasingly.

I need to look forward from today, 2024, and that needs a very different thinking and recognition of the many changes that have occurred but also in earlier stages of understanding their value ( example AI). What you do recognize that we are on a journey to a radically different pathway towards innovation. Still, looking to the past to see future patterns is always good.

One big difference “What gets old is certainly pretty quickly“, and that is why we all need to be interconnected to learn, adapt and respond in a rapidly challenging and complex world to find what is valued and needed. Scale, scope and speed will dominate and we need to master these.

The post Is Innovation evolving in the way I see it going? first appeared on Building Your Innovation & Ecosystem Intelligence.

I have have been looking back at innovation and how it has changed over the last twenty-five years. In a series of three posts, I have asked Google’s Gemini to answer five questions to track and trace the progress innovation has made and where it seems to be heading.

This is the second post looking more at collaboration and idealization and how and what has helped it evolve in this period. Hopefully, this change has enabled better value creation and learning how to innovate. (First post here)

So this post, in a series of three, looks at the answers given by Google’s Gemini on how collaboration and ideation evolved the organization’s ability to adapt and what helped.

My first question here to Gemini was: “Collaboration, Ideation, Implementation and Value Creation have also changed since 2019- how and what has driven this?“

The reply: “Here are some of the ways in which collaboration, ideation, implementation, and value creation have changed since 2019:

Collaboration

• From siloed to interconnected: Collaboration is no longer confined to departments or companies. Instead, it is happening across the entire innovation ecosystem, including startups, research institutions, and even customers. This interconnectedness is driving innovation by bringing together diverse perspectives and expertise.
• From linear to iterative: Collaboration is no longer a one-way street. Ideas and feedback are flowing back and forth throughout the innovation process. This iterative approach is driving innovation by ensuring that solutions are aligned with user needs and market realities.
• From hierarchical to horizontal: Collaboration is now less hierarchical and more egalitarian. Leaders are not the only ones who have ideas. Everyone in the innovation process can contribute, regardless of their position or role. This inclusivity is driving innovation by tapping into the collective creativity of the entire organization.

Ideation

• From closed to open: The way ideas are generated is changing. Organizations are no longer relying solely on internal sources of innovation. Instead, they are tapping into the global pool of talent and ideas, using tools like crowdsourcing and hackathons. This openness is driving innovation by bringing in fresh perspectives and new ways of thinking.
• From linear to agile: Idea generation is now a continuous process, not a one-time event. Organizations are using agile methodologies to rapidly test and iterate on ideas, keeping up with the pace of change and market demands. This agility is driving innovation by enabling organizations to adapt to new opportunities and challenges quickly.
• From siloed to cross-functional: Ideas are now generated across different functional areas of the organization. This cross-functional collaboration is driving innovation by bringing together different perspectives and expertise to tackle complex problems.

Implementation

• From top-down to bottom-up: The way new ideas are implemented is changing. Organizations are giving more autonomy to teams to implement their own ideas. This bottom-up approach is driving innovation by empowering teams to experiment and take risks.
• From siloed to integrated: Implementation is now more integrated across different functions and teams. This integration is driving innovation by ensuring that new ideas are seamlessly integrated into the organization’s overall operations.
• From linear to iterative: Implementation is now an iterative process, not a one-time event. Organizations are using rapid prototyping and continuous testing to refine and improve new products and services as they are being implemented. This iterative approach is driving innovation by ensuring that new solutions are meeting user needs and market requirements.

Value Creation

• From product-centric to value-centric: The focus of innovation is shifting from creating products to creating value. Organizations are now creating value for customers, partners, and society as a whole. This focus on value is driving innovation by ensuring that new solutions address real-world problems and have a positive impact.
• From short-term to long-term: The time horizon for innovation is expanding. Organizations are investing in long-term innovation initiatives, recognizing that the most transformative ideas take time to develop and mature. This long-term perspective is driving innovation by enabling organizations to develop breakthrough solutions.
• From linear to ecosystem-based: The value created by innovation is now distributed across the entire ecosystem. Organizations are collaborating with partners and stakeholders to share the benefits of innovation, creating a more equitable and sustainable approach. This ecosystem-based approach is driving innovation by enabling organizations and stakeholders to work together towards shared goals.

These changes in collaboration, ideation, implementation, and value creation are fueling a new era of innovation. Organizations that can adapt to these changes and become more open, agile, and collaborative will be well-positioned to succeed in a rapidly changing world.

My second question relating to collaborating over these last 25 years was “How are Organizations adapting differently to these changes so as to become more open, agile, and collaborative? Has the methodology changed? Have the tools differed or is it the acceleration of technology connecting it all up?

Organizations are adapting to the changing landscape of innovation by adopting new methodologies, tools, and technologies. These changes are enabling them to become more open, agile, and collaborative, which is essential for success in today’s fast-paced and interconnected world.

Methodologies

• Agile methodologies: Organizations are increasingly adopting agile methodologies, such as Scrum and Kanban, to manage their innovation processes. These methodologies emphasize iterative development, continuous testing, and customer feedback, allowing organizations to adapt to changing requirements and market conditions quickly.
• Design thinking: Design thinking is another methodology that is gaining traction in innovation. This human-centred approach emphasizes understanding user needs and behaviours, rapid prototyping, and iterative refinement. It helps organizations create products and services that truly resonate with their customers.
• Lean startup: Lean startup is a methodology that helps organizations validate their ideas early and often. By focusing on rapid experimentation and learning, lean startup enables organizations to identify and eliminate waste, reduce risk, and increase the likelihood of success.

Tools

• Cloud-based collaboration tools: Cloud-based collaboration tools, such as Slack, Microsoft Teams, and Asana, are enabling organizations to collaborate more effectively across geographical boundaries and time zones. These tools provide a centralized platform for sharing documents, files, and ideas, as well as real-time communication and discussion.
• Prototyping tools: Prototyping tools, such as Sketch, Figma, and Balsamiq, are making it easier for organizations to create and iterate on prototypes of their products and services. These tools enable teams to visualize and test their ideas early in the development process, identify potential problems, and make improvements before investing significant resources in development.
• Data analytics tools: Data analytics tools are providing organizations with insights into customer behaviour, market trends, and competitor activities. These insights are helping organizations make informed decisions about their innovation strategies, such as which ideas to pursue and how to allocate resources.

Technologies

• Artificial intelligence (AI) and machine learning (ML): AI and ML are being used to automate tasks, identify patterns, and make predictions in the innovation process. For example, AI can be used to analyze customer data to identify potential new products or services, and ML can be used to optimize product development processes.
• Blockchain: Blockchain is a distributed ledger technology that is being used to create secure and transparent ecosystems for innovation. For example, blockchain can be used to track the development of open-source software, manage intellectual property, and share data securely across different organizations.
• Internet of Things (IoT): The IoT is connecting devices and systems in real time, creating a wealth of data that can be used to inform innovation. For example, IoT data can be used to track customer behaviour, optimize supply chains, and develop new products and services.

Summing up this question

“By adopting these new methodologies, tools, and technologies, organizations have been taking steps to become more open, agile, and collaborative. These changes are helping them to innovate faster, create better products and services, and build stronger relationships with their customers and partners”

Over three posts I wanted to look back at innovation and how it has evolved from 1999 to 2024, a period of twenty-five years.

I asked Google Gemini five questions. In my first post, I asked what the main aspects of innovation thinking and design changed from 1999 to 2019. This post looked at how collaboration and ideation evolved, the organization’s ability to adapt, and what helped.

The third post, coming next, looked at the emergence of ecosystems and platforms and began to gaze more into the future of innovation and from this I began to speculate how it will radically change with the fast rise of AI creating disruption and different opportunities. Are we really ready in our structure, system architecture or mindset to be so open, collaborative and willing to co-create? I personally don’t think so.

The post Have organizations become more collaborative over 25 years? What has enabled that? first appeared on Building Your Innovation & Ecosystem Intelligence.