Bridging different worlds…

john bessant
8 min readOct 21, 2024

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How to unlock the power of recombinant innovation….

Image: Dall-E via Chat-GPT

Wandering around Chicago in 1912 William Klann was a man on a mission. He was part of a team set up to explore ways in which they could reduce the costs of manufacturing a car to fulfil Henry Ford’s vision of ‘a motor car for the great multitude’. They had already developed many of the ideas behind mass production — standardized and interchangeable parts, short task cycle work, specialist machinery — but what Klann saw while walking past the Swift Meat Packing Company’s factory gave him an insight into a key piece of the puzzle.

The workers were effectively disassembling meat carcasses, stripping off various joints and cuts as the animals were led past them on a moving overhead conveyor. In a classic moment of insight, he saw the possibility of reversing this process — and within a short space of time, the Ford factory boasted the world’s first moving assembly line. Productivity rocketed as the new idea was implemented and refined; using the new approach Ford was able to cut the assembly time for a Model T to just 93 minutes.

(Not that the meat packers had invented something new — back in the early sixteenth century the Venetians had already developed an impressive line in mobile assembly. By moving ships along canals in order to fit them out for battle they were able to produce, arm, and provision a new galley at a rate of one per day!)

Forty years later the McDonald brothers pioneered a hamburger business based on fast service and quality food available at a competitive price. They’d been looking for ways to improve productivity and began applying Ford’s assembly line techniques to making hamburgers. Their partner, Ray Croc, helped develop their ideas further and pushed them to extend their reach beyond California. The rest is fast food history, with the company now selling more than 75 hamburgers every second and feeding 68 million people every day!

Image: Dall-E via Chat-GPT

A little later, and in another part of the world, Dr Govindappa Venkataswamy retired. He’d worked for many years as Head of Opthalmology in the main hospital in Madurai, India, and decided to use his expertise and new-found free time to try and help prevent blindness in rural communities in his home state of Tamil Nadu. This was not an insignificant problem — whilst the treatment itself is well-developed it comes at a price; in an Indian hospital, the cost works out to around $300, and in a country where most people, especially in rural environments, earn less than $2/day such a price tag puts treatment out of reach.

In order to achieve his dream he had to search outside the conventional health sector, seeking ideas from other worlds with similar challenges. Specifically, he looked for low-cost ways of carrying out activities systematically, reproducibly, and to a high-quality standard — and eventually found inspiration in McDonald’s. He saw the underlying similarities in the core processes they used and adapted their principles of assembly line manufacturing to the context of eye surgery!

Developing and refining what became known as the Aravind system has meant that the average cost of a cataract operation is now $25, and over 60% of patients are treated for free. This isn’t done by compromising on quality — Aravind has better performance than many Western hospitals. It has become the world’s largest and most productive eye-care service group, responsible for treating over 35 million patients with its low-cost/high-quality model.

Cross-Context Problem Solving

What these stories have in common is that they are working on the same problem, just in a different context. This is a powerful resource in innovation — answers don’t always have to be new to the world, they can also be adapted from different contexts. Recombinant innovation.

It’s not a new idea. Thomas Edison was an early and active exponent, seeing the possibilities in drawing on many examples of proven technology and reapplying them in different fields. His ‘invention factory’ in New Jersey offered the world ‘…a minor invention every ten days, and a big one every six months or so….’ and it largely succeeded.

Image: Dall-E via Chat-GPT

Think about the problem of turnaround time. In the low-cost airline world much depends on being able to land a plane, disembark the passengers, clean and refuel it, load new passengers, and take off again in as short a time as possible. Southwest Airlines holds the record for this, regularly managing turnarounds in less than 20 minutes. But this isn’t just an issue for the airline industry — it’s a version of a problem facing many others. For example in hospitals it’s the challenge of using an expensive resource like an operating theatre as efficiently as possible — swiftly moving out post-operative patients, cleaning, sterilizing, preparing, and getting started on the next patient as fast as possible. That has a lot in common with a very different world — fans of Formula 1 will know that a slow pit stop can ruin a driver’s chances in the unforgiving world of Grand Prix motor racing.

All of these are variations on the same basic theme — and importantly the solutions developed in one world can be adapted and applied elsewhere. Turnaround time was a major challenge in the car industry where the concern to reduce the set-up and changeover time of huge body presses led engineers at Toyota, under the direction of Shigeo Shingo, to develop the ‘single minute exchange of die’ (SMED) approach, which enabled reductions from several hours to less than five minutes. SMED principles underpin the turnaround revolution in the airline industry and the success of Ferrari’s record-breaking team which can carry out a complete pitstop in less than six seconds!

It’s not a one-way process; part of the power of recombinant innovation is cross-over learning through sharing different experiences of dealing with the same basic problem. In a recent visit to the Great Ormond Street Children’s Hospital in London the Ferrari team not only delivered some important insights for UK hospitals, they also took back some new ideas to apply on the racetracks of the world.

Advantages of Recombinant Innovation

In today’s open innovation landscape, ‘recombinant innovation’ of this kind is a powerful opportunity. Why waste time developing solutions from scratch when you could adapt and modify a proven model from elsewhere? The approach offers a number of advantages:

  • It reduces learning costs since much of the original development of an innovation has been undertaken in a different context. While there is still a need for local adaptation there is a chance to adopt an innovation further up the learning curve and thus with lower risk.
  • It opens up new and different innovation space; by moving the search focus to outside a particular sector ‘box’ we can establish a new trajectory for further innovation. (For example, the Aravind model of safe low-cost healthcare has been applied to perinatal care, other elective surgery, and even heart bypass operations — all with similarly dramatic results).
  • It opens connections to new networks, effectively enriching the ‘gene pool’ of ideas with which both organizations can work and enabling further open innovation opportunities.
Image: Dall-E via Chat-GPT

Requirements for Recombinant Innovation

But recombinant innovation doesn’t just happen — exploiting these opportunities requires building new capabilities. In particular, we need:

  • Abstract-driven search (ADS) — to find analogous solutions in different worlds we first need to climb a ‘ladder of abstraction’, so that we can see the same problem being solved in different contexts. This is essentially about translating or reframing the problem. When Wolfgang Dierichs, a research chemist at the German company Henkel, boarded a plane in 1967 he didn’t expect to be getting off with a radical innovation in the stationery business. But when he saw a woman applying lipstick he began to see a connection between this and the possibility of selling glue not in messy pots or tins but as a stick. Pritt Stick was the result of that flash of inspiration and has since sold over 2.5 billion units in over 120 countries around the world.
  • Brokerage — finding ways to link different worlds. The danger in ADS is that the level of specification can be so abstract that potential connections are not spotted. We need both the ability to make connections across very different fields and to see a fit between needs and means. (This is a role that Thomas Allen in his pioneering work on innovation in the US space program called the ‘technological gatekeeper’ and which Procter and Gamble in their ‘Connect and develop’ open innovation journey have called ‘technological entrepreneur’).
  • Cyclic adaptationjumping between two worlds offers new insights about innovation solutions but it’s not simply a matter of ‘Plug’n’Play’. Significant adaptation is needed to turn the principles from one world into practices in another, and involves a series of prototyping cycles, configuring to local circumstances. It’s effectively the reverse of the ADS process, moving from a high level of abstraction to a particular application in a specific operating environment. James Dyson famously saw a link between industrial cyclone technology and a new design for the domestic vacuum cleaner — but it took him over 5,000 prototypes and five years to come up with one that worked.

Organizations grow through what they know — using external knowledge is a critical capability. But it doesn’t just happen — organizations need to develop their ‘absorptive capacity’ to find, assimilate and deploy new knowledge. Learning to reframe and recombine is a key skill in this process, and one rich with possibilities.

Image: Dall-E via Chat-GPT

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john bessant

Innovation teacher/coach/researcher and these days trying to write songs, sketches and explore other ways to tell stories