Tag Archives: Dynamic Business Ecosystems

How organizations shift from static models to continuously adapting systems driven by real-time sensing, learning, and dynamic capabilities.

Novartis Has Built Two Ecosystems. It Hasn’t Connected Them Yet. They Should.

Posted on by
The Converging Forces We Need To Connect Up

Vas Narasimhan (the CEO, Novartis) has named it directly: becoming the number one partner in the technology ecosystem is one of Novartis’s four digital strategic pillars. That is not aspirational language dropped into an investor deck. It is explicit ecosystem intent at CEO level, and it is rare in global pharma.

Novartis has acted on it. Two remarkable architectures now exist inside the company, each sophisticated enough to be a case study on its own.

I took a look at Novatis and its intent though a different approach here, exploring the results from the Intelligent Integrated Business Ecosystem (IIBE) and raising some fairly important Ecosystem building questions on Novartis, based on my analysis as part of the Healthcare research undertaken

So these two remarkable architectures seem to have so much value left on the table. There seems much to do on taking these to a very different level

Continue reading →

Evaluating Bayer and Roche for their future Ecosystem potential

Posted on by
Starting here in any Diagnostic for Building Ecosystems

Within my work on Ecosystems a significant amount of this is through Diagnostics that leads to Discovery.

Over the past month or so I have been focusing on the Healthcare section and through a number of my diagnostic tools assessed GE Healthcare, Siemens Healthineers, Royal Philips, Novartis, Bayer and Roche.

Why Healthcare? If ever the potential for applying Ecosystem thinking and design it would be in Healthcare. Yet there is so much fragmentation, current relationship constraints and design obstacles to. resolve.

I have posted observations on Siemens Healthineers (post here) and Royal Philips recently. Specifically for Royal Philips I did a very extensive Business Case outline over four posts as I took a broader range of my diagnostic tools to apply to them

Here I am focusing on Bayer and Roche, specially through my Nine-dimensional diagnostic. They aim to offer structural truths. They exist whether the organization acknowledges them. The diagnostic does not create them, it makes them visible. The ones outlined here are not part of the total evaluation undertaken, they are an initial snapshot that needs some more detailed input to gain a more definitive result.

The importance within the IIBE is the sequence, handoff, linkage and movements. In this case the nine components shown are here in these results more “stand alone”, indicative of opportunities for organizations to focus and evaluate each component, to recognise the needs to improve or spot the constraints.

The results for Bayer and Roche offered surprising and different results in the stages they are at in Ecosystem design progress

Continue reading →

The Siemens Evolution: three very different Ecosystem building stories hitting limits

Posted on by
Billions invested in components are yielding linear returns. Think Ecosystems

Siemens offers three distinct IIBE stories related to Ecosystem building – each is within the expansion of ecosystem thinking and design. Different arguments applied to three related entities at different stages of the same structural transition. AI is only part of their solutions.

The need here is all about hitting ecosystem buttons across all of them with a fully developed evaluation, analysis and emerging proposition can offer the move that transforms individual conversations into something structurally compelling. This post outlines part of this and focuses on Ecosystem Architecture..

My work operates at the intersection of ecosystem architecture and AI strategy — specifically on how organisations principally design the governance and orchestration layer, that allows intelligence to compound across a multi-actor network rather than accumulate within a single node.

I see the architectural question as the “golden thread” that runs through these individual Siemens entities and their future direction each oif them can travel, if they recognize it as their essential next step.

Continue reading →

The Dual-Force Model of AI and Ecosystems

Posted on by

The Dual-Force Model of AI + Intelligent Integrated Business Ecosystem (IIBE)

AI Isn’t the Strategy: Why Ecosystems Are the Real Moat (and AI Is the Accelerator)

What this gives — above and beyond internal AI

Why an “AI-only” strategy plateaus

Continue reading →

Germany’s industrial memory loss: Why an engineering engine is losing the ecosystem play

Posted on by
Germany’s Industrial Memory Loss

Germany may be about to do something few believed possible: lose not just industrial output, but the industrial memory that made it Europe’s most admired manufacturing power. Since the pandemic, the country has lost nearly a quarter of a million manufacturing jobs, industrial production has fallen every year since 2022, and more than 31 per cent of industrial firms now say they are less competitive globally. Paul Hobcraft’s Intelligent Integrated Business Ecosystem (IIBE) offers a sharp way to read this. It helps explain how a country can still have world-class firms, skills and institutions, yet begin to lose the architecture that allows them to learn, align and adapt together.

Some will argue that Germany is simply going through the same shift every mature economy faces. Lower-value production moves elsewhere; higher-value engineering, design and coordination stay at home. In that reading, Germany is not declining. It is upgrading.

It is a neat story. It is also too easy.

Continue reading →

Treating Ecosystems as a new asset class

Posted on by
Appreciating Assets as a new Ecosystem accounting class

Current accounting fails ecosystems. Traditional accounting assumes assets wear out, value declines with use and treats relationships as expense, knowledge is seen as overheads, coordination is a cost and trust is intangible and is left untracked.

Ecosystem assets are the capital class that becomes more valuable every time it is used. Investing in them is not a cost – it is the foundation of compounding advantage. In some ways applying this logic offers a real breakthrough, it reframes the entire investment conversation in ecosystems – and you can turn compounding from a metaphor into a management system.

It is time for us to consider treating Ecosystem assets as an appreciating capital asset class – because they grow stronger through use – and our accounting must shift from measuring cost/return to measuring what is being built and how fast it appreciates.

*** Depreciation logic was built for assets to die.

Continue reading →

The Business Ecosystem Architecture needs to be Executive-Ready

Posted on by
Accelerating inside our existing system is increasingly hard

Most organisations today are trying to move faster than the system they sit inside.
The slowdown isn’t execution. It’s structural.

They are operating inside ecosystems —
but without an ecosystem architecture.

And that missing architecture is now one of the most important, least recognised constraints on growth, innovation, and transformation.

Continue reading →

Underestimating what ecosystems really need

Posted on by
Underestimating what Ecosystems really need

Most companies still underestimate what “ecosystem” really means and why they need to go deeper into the causes of their Ecosystems not delivering what they would want. .

They think it’s a partner program. Or a platform. Or a digital initiative. Or a slide with circles and arrows.

But here’s the shift that’s already happening — quietly, structurally, and faster than most leaders realise:

Your business is no longer operating in a market. It’s operating in an ecosystem.

And that changes everything.

Continue reading →

The Compound Value and Growth Logic Of Business Ecosystems

Posted on by

Recognising We Have A Problem with ‘Scale’

What scale logic assumes

Scale logic rests on a clear set of assumptions: inputs are replicable, processes are stable, and growth comes from doing more of a proven thing with greater efficiency. These assumptions are well-suited to manufacturing, standardised service delivery, and transactional platforms with high volume and low variance. They have produced enormous value in those contexts.

But they embed a hidden constraint: the system produces more output without necessarily becoming more capable. A scaled organisation is a bigger version of itself. It is not a structurally different one. The growth is additive. The returns are, at best, linear — and increasingly sub-linear as competitive imitation narrows differentiation and regulatory, environmental, and labour costs compress margins.

Where scale logic fails ecosystems

Ecosystems are not linear value chains with more participants. They are systems in which the primary assets — relationships, knowledge, trust, combinatorial capability — behave differently from physical or transactional assets. They appreciate through use. They generate network effects. They produce emergent value that no single participant designed or controls.

Continue reading →

Ecosystem Architecture in Practice: Turning the Blueprint Into Action and Visable

Posted on by
Applying the Ecosystem Architecture enables the IIBE to unleash its dynamic forces

Last week, I outlined the structural blueprint of ecosystem architecture — the logic that explains how multiple actors align, coordinate, and create value together across interconnected systems. If you missed that foundation, you can read it here: → Ecosystem Architecture: The Blueprint for How Future Value Is Created (link to your P4I post)

That post provided the contextual marker of what is provided. This one shifts into the operational reality. Because understanding ecosystem architecture is one thing. Applying it is another. The need is for clarity and visability.

Continue reading →