Building out the four main components of Innovation Ecosystems

The interplays and interfaces available from technology and AI applications available to us today can deliver completely different, more compelling innovations. I have been looking at the combination effect of humans, technology and AI in this new interplay on my paul4innovating.com site.

Within this research, I have been questioning how innovation has changed in the last ten years but, more importantly, how design thinking will adapt due to this technology and AI adoption as the avenue of future exploration.

Couple this with Ecosystem thinking and design, and we are moving towards a different, more integrated framework for innovation ecosystems. I provided the story for Innovation Ecosystems as needed to be explained in a previous post.

I see four main components within innovation ecosystems that must be expanded to give this framework meaning. Value creation, knowledge transfer, co-creation and competitive positioning.

Why these four components?

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Technology is the critical enabler of Ecosystems.

I have been spending time arguing for and validating why and how ecosystems in business and applying innovation in their design and thinking are the growing future mechanism for managing new growth, delivering impact and value within Business, and for the final consumer of the goods and services.

The potential within deploying ecosystem thinking can be derived from this highly collaborative approach in finding new ways to design and deliver different options to the existing offerings, offering a different value creation potential, providing for more compelling solutions and finding different ways of solving often complex problems with this co-creating approach.

Yet, I have realized that I have not given the time or attention to the technology issues associated with the move towards adopting an ecosystem approach. So, this post begins to address this.

I believe technology is a vital enabler for building out thriving ecosystems.

Does our technology understanding in organizations and its application to Ecosystem thinking and design fail to be clearly understood as needing a different, perhaps distinctive, structural approach or system?

Building out capability based on a single organization’s needs is a mistake. Understanding the differences in collaborating, co-creating and exchanging across organizations needs a very different design, security and approach mentality.

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The viability of building out sustaining business ecosystems and platforms

The viability of building sustaining business Ecosystems

Ecosystems and platforms are the present way to build your business or so we are advised. Yet there is ahead of us potentially the evolving way we take the Metaverse, this might be on the future horizon to take ecosystem thinking into a new direction.

Let’s see will metaverses take our present ecosystem thinking beyond? A metaverse is all the connections between the financial, virtual, and physical worlds that are becoming increasingly linked.

In many ways, the metaverse will combine all aspects of life in one place and become far more of our future platforms. There are commonalities between existing language and practice and the metaverse can extend this out.

For instance in reality, virtually, immersive, in marketplace offerings, in building a stronger blockchain element, having a greater social or customer participation. Marketplaces can decentralize even further what we have, we can interact differently, having more options to stimulate or be creative, and we will continue to build out interoperability and accessibility.

All of this is a “promise yet to come” but not so far away not to consider where the Metaverse might take ecosystem and platform practice into our present thinking.

Stepping back from the promise of what might yet come Continue reading

Business Innovation Ecosystems

Connected Network or Ecosystem Forming

The growing need to have a deeper understanding of the connections within Ecosystems has taken me into the world of Artificial Intelligence (AI) with the ability to quickly search for connected areas that “make” ecosystems.

So what is the value of AI when you are researching a subject? I have found applying a selected “natural language generation” technique as helpful.  It has accelerated and streamlined my research, making any analysis faster, it has been sometimes fairly puzzling in some of the outputs but I feel you are gaining from “real-time” data and keyword associations that provide new insights. The end results will certainly help shape my thinking into the future of Ecosystem Management. Continue reading