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 landscape is marked by its dynamism. Here, market trends evolve, new technologies emerge, and consumer preferences shift lightning-fast.
In this environment, success isn’t just about being prepared for change; it’s about actively shaping it. But how can you empower those responsible for innovation to not only navigate this terrain but thrive within it?
We need to navigate a very different terrain that requires a deeper investment in skill development in a culture of continual learning.
During this week, commencing 15th October 2023, I am discussing and explaining a framework for building innovation ecosystems on my ecosystem4innovators.composting site.
I have been exploring for some time a transformative concept to move innovation into the world of ecosystems. I outlined my proposed innovation framework in the building blocks necessary. The extended series of posts over thirteen or so, are all here on this posting site, summarized in this post of “The building out of the Composable Innovation Enterprise Framework.”
The focus was on proposing to single entities, and now I want to extend this into the future need to build innovation ecosystems that enable and connect the essential components required.
The interplay potential in exploring the combination of humans, technology and AI
This interplay between humans, technology, and AI is dynamic and involves continuous interaction, collaboration, and feedback between these elements. The future of innovation, by combining these, offers a very rich promise to provide a fascinating and different future.
Firstly, this interplay needs some higher-level thinking to put some insights into what this interplay might look like and lead to:
Exploring the interplay between Humans, Technology and AI for design thinking
Why is design thinking regarded as so crucial to the future of innovation in a world of accelerating interplays between humans, technology and generative AI?
By embracing Design Thinking principles differently in the future of innovation, organizations can foster a more profound culture of creativity, empathy, collaboration, and user-centricity. This can lead to the development of innovative solutions that address real-world problems while considering the interplays between humans, technology, and generative AI.
Firstly, we have the interconnected global marketplace as our context
The change toward an interconnected and conscious global marketplace has been of significant importance, reshaping business strategies, consumer expectations, and societal values.
Innovation is certainly a complex and dynamic process that involves many factors and actors and I certainly feel it has been shifting in its focus. I have been thinking of where we have been placing the emphasis over the past ten years.
I decided to ask GPT-4 what major shifts have occurred in how we approached innovation ten years ago and today. It was suggested that these were the following.
Do you agree, what do you feel is missing? I like the broad shifts indicated but what has been missed?
“Making something harmonious” often means we have to reconcile differences to balance out the tensions and issues to enable and make them compatible to work.
“Fusing” human engagement with technology enablement involves creating a harmonious integration of human collaboration and technological tools to enable an ecosystem’s successful development and operation. Is that possible?
How do we go about evaluating all the possible needs of customers, as they are mostly our success arbitrators? We must gain insights and refer through multiple information sources- digital data and direct human responses – than ever before; these insights are becoming essential to our businesses.
Calibrating the right way to use technology to create mutual benefit is an increasing theme across businesses, which means we need high levels of interdependence.
Within the Composable Innovation Enterprise Framework lies the core, the different innovation stacks, and the learning components. Here, I want to briefly talk about the importance of the learning components that support the innovation design and especially the different innovation stacks.
The elements of the innovation stack are designed to support innovation’s core tasks, including learning, absorbing, assessing knowledge management, creativity, design, experimentation, and testing. By modularizing these tasks and their interfaces, organizations can assess their innovation progress by having a complete innovation system available to them, designed on specific stack elements to address knowledge operation requirements in the stage of development to commercialization.
The Innovation Stacks are ready to support different steps in the innovation engagement process
Additionally, with the upgrade in technology and platform approach, we can support the rapidly emerging human-AI collaboration needed for each building block and component and provide a step-by-step validation.
Yet it is the sequence of how we learn that becomes vital to “feed” and build the innovation stacks.
I completed a series of posts in April 2023, published on this posting site, on cross-sector needs when considering or working in innovation ecosystems.
To get to a good understanding of cross-sector innovation ecosystems collaborations, you need to take a very considered holistic view of what is needed in any collaboration, let alone cutting across sectors to generate a successful outcome. All the elements of skills, processes, tools, capabilities, and behaviors are essential in supporting an effective collaboration across sectors that need to be involved.
I have summarized the key points of these four posts; click on the links referred to. I have outlined the multiple needs to consider so you are more aware of the differences and needs of managing within an ecosystem of collaborators.
As I mentioned in a previous post, for any innovation enterprise change, I do not recommend a “big bang” solution; it should be phased to validate and grow to understand, build up validation, justify making the changes, bedding in the thinking needed and approaches to provide the level of returns and the growing understanding of cost/ benefit conversion.
The potential returns, including increased agility, improved innovation outcomes, enhanced collaboration, and long-term competitiveness, make this radical change worthwhile for organizations aspiring to thrive in today’s dynamic business environment. The ability to build the context and show its (ongoing) value makes the difference. You need a systematic approach and project staging plan.
The importance here is recognizing the shift in mindset and thinking towards a Building Block approach to build up the Innovation Stacks. Each stack “sits” on a technology platform. Thinking through what this means requires understanding, relating, and putting a clear context of innovation, what you want to achieve, and how to set about this.
I proposed a new Framework for managing innovation this week, called the Final Perspective: A Composable Innovation Enterprise Framework. This is approaching innovation and its management in more of a holistic, technology-enabled way based on the use of a cloud-enabled Platform and Ecosystem thinking and design.
The thrust of the framework is “Organizations can create a more comprehensive and effective innovation ecosystem by utilizing building blocks as components of the innovation stack, guiding platform development using the innovation stack, and supporting the innovation stack with a platform. Equally, components are oriented towards learning, knowledge, creativity, design, and testing—essential tasks in the innovation process“.
I am suggesting a vertical and horizontal design applying innovation stack and building block approaches, which may be new concepts for many. Still, they do have value in enabling a more dynamic environment for innovation to connect to the potential it so often promises but fails to deliver upon.
Much stands in the way of taking an idea or concept and getting it to a successful launch, recognition, and, most importantly, adoption. Innovation management and its process need changing, seriously updating with more of an enterprise framework. I am proposing one.
I wrote a post “Building Up to the Composable Innovation Enterprise Framework Validation“, providing the investigations and subsequent posts I provided to build the argument towards this solution. They are concise synopsises to get this base for my thinking and understanding of why innovation processes and their management need to change.
