Archive for category evolving economic entities
Innovation Obstacle: Bureaucracy?
Posted by Tim in book riffs, evolving economic entities, innovation on 21 September 2011
What is the innovation that led to civilization?
There are some interesting answers to this question in Why the West Rules, For Now by Ian Morris. As part of his research, Morris has developed a Social Development Index, which he uses to track the progress of civilizations from 14000 BC to present. The index tracks improvements in areas such as energy capture (both as food and as fuel), organizational capability, technology development, and information sharing capacity.
Here is what the graph shows (taken from this .pdf that summarizes the research):
The first big jump happened between 2000 and 1000 BC, indicated by the very crude arrow that I’ve added. What was the innovation that caused that jump?
The invention of Bureaucracy.
Morris (and many other historians) argue that it was the invention of bureaucracy that actually triggered the development of agriculture, written communication, and other tools that are necessary for people to undertake complex tasks.
Bureaucracy is one of the most important innovations in human history – without it, we’d still be in caves. So why does it get such a bad rap whenever we talk about innovation? It’s nearly impossible to discuss innovation within organisations without hearing complaints about bureaucracy and bureaucrats.
The problem isn’t actually with bureaucracy. Bureaucracy makes systems, supports the development of routines, and gives us some constraints – which are actually essential to innovation (see here and here for examples). We need all of these things to innovate.
The problem with bureaucracy is when we follow rules simply for the sake of following rules. This is another form of path dependence, which leads to lock-in on sub-optimal systems. The problem is with bureaucratic systems that don’t support strategy – these stifle innovation.
Bureaucracy is actually a neutral term, like aerodynamics. To call a car “aerodynamically designed” is a nonsense – all cars have aerodynamics. It’s just that Teslas and Porsches have excellent aerodynamics, while minivans and SUVs have terrible aerodynamics.
In the same way we can have excellent bureaucracy, which supports innovation, and terrible bureaucracy, which obstructs innovation.
Bureaucracy isn’t actually an innovation obstacle, but bad bureaucracy is.
Innovation Makes Everything Amazing
Posted by Tim in evolving economic entities on 25 August 2011
One of my friends reminded me today about Louis CK’s great discussion of the benefits of innovation:
That might not seem like an innovation discussion, but it sure is.
One of the difficulties with innovating is that it takes so long to get an idea into circulation, but once it’s there, it gets taken for granted incredibly quickly.
On the other hand, this animated GIF shows why people can resist innovation – it makes everything amazing for us the consumers, but it can major disruptions within industries:
(Rob Paterson has some interesting things to say about this as well)
That’s the two sides of innovation – when we innovate we have the chance to make everything amazing, but we do this by changing things. We need to be aware of both outcomes.
Carmageddon – Change is Hard, Except When It’s Not
Posted by Tim in complex systems, evolving economic entities on 20 July 2011
The world failed to end over the weekend. In Los Angeles, at least, this was a bit surprising, as there were many dire predictions made about the impact of closing down the 405 Freeway for a weekend of construction.
Many of the key issues are summarised in this remix from Downfall (which is funny, but NSFW, and probably not politically correct). There are also more straightforward discussions of the event dubbed “Carmageddon” on the LA Times website.
Even on weekends, the 405 carries a staggering amount of traffic, so it stands to reason that shutting it completely would have a major cascading effect on traffic throughout the rest of LA.
And yet, it didn’t. Why?
Because people changed their behaviour for the weekend. They stayed home, or walked place, or travelled in the opposite direction of where the traffic was supposed to be.
In the end, Carmageddon was a complete non-event.
This is actually the second time that this has happened in LA. The first time, it was supposed to be even worse. That was during the 1984 Olympic Games. Most of the events took place around the LA Coliseum, which is right next to downtown. Traffic from people going to see the games was supposed to shut down the entire city – this time for two weeks.
The fact that this didn’t happened has been referred to as the “LA Traffic Miracle“.
Why were the Olympic weeks actually one of the smoothest traffic periods in memory? Because people changed their behaviour:
But The Times noted back in 1985 that it wasn’t exactly a miracle: ” [It was] no fluke but resulted to a large degree from employer policies during the Games (23% of major employers surveyed used staggered shifts; 33% permitted flextime).”
In both cases, the prediction that was actually being made was:
This event will be catastrophic, if people act as they normally do.
The problem is that no one ever says the second part out lout – it’s just assumed.
We run into this problem a lot when innovating. We introduce a new idea, and people resist it, because it will only work if they change their behaviour. This is a key innovation challenge – how can we make the behaviour change easier?
Scaring people is one method, as they did with Carmageddon and the 1984 Olympics.
However, this approach often only has short-term success.
The other approach that works is to create clear value for people with your innovation.
Peoples’ capacity to effect large-scale change is often surprising. Major changes in behaviour are often shocking, because we always assume that change is hard. However, if you create value for people with innovation, you can make it easier for them to change.
Once again, change will occur, and it won’t be the end of the world.
(photo from the LA Times)
Innovation Must Create Value, not Novelty
Posted by Tim in business models, evolving economic entities on 15 July 2011
Is it possible to be too innovative?
Helen Walters points to an interesting post by Jens Martin Skibsted and Rasmus Bech Hansen called Over-Innovation Makes U.S. Firms Suck At Sustainability, which argues that it is.
They argue that the high levels of US carbon emissions are due to too much innovation:
The heart of the problem is that American brands push more and more products on the consumer without mechanisms for re-usage. With ever-shortening product life cycles, the problem is only getting worse.
…
Our experience tells us that it is exactly because American companies are so amazingly innovative, entrepreneurial, and intensely competitive that they can’t find ways to deal with the global challenges. Finding sustainable solutions isn’t about discovering new, ever-more disruptive ideas. It requires the opposite, something very un-American: standardization, slowness, and centralization. To most, more ideas are always better. But in this case, the more green solutions we have, the less effective and efficient processes become.
Reading the whole article is worthwhile, so you can make your own opinion. As for me, I’m with Enrique Garibay, who tweeted this in response:
This was followed up by bbhor, who said:
Both are correct.
Here’s the thing: innovation is executing new ideas to create value, it’s not just making more stuff. It’s not about about ideas. It’s not about novelty.
Skibsted and Hansen have an example of kind of thinking that can support sustainability:
In theory, you can grow in two ways: You can produce more, or you can add extra value to what you already produce. The latter is the way toward sustainability.
Take Starbucks: Despite the company’s impressive growth, it has hardly increased the amount of coffee beans the world consumes. Instead, it has grown by finding numerous clever ways to create value in all parts of the value chain — everything from interior design, product innovation, marketing, and services. More American brands must learn that they can minimize the consumption of goods but increase total consumption at the same time.
All of those value creation strategies that they are talking about are innovations.
The problem isn’t too much innovation – it’s bad innovation. Innovation that is divorced from a strong focus on creating genuine value is bad inovation.
Umair Haque’s great blog consistently tries to address this issue. Innovation is no good if it doesn’t create deep value. Here’s what he says in his latest post:
The pursuit of more, bigger, faster, cheaper, nastier too often seems to demand putting what, why, and who we love at the end of the list, the underworld of the inbox, the bottom of the heap. That’s a recipe for stagnation, whether for people, communities, cities, countries, or the globe. But the converse might just hold, too: if nations and corporations want to punch past the glass ceiling of mere opulence, to what I call eudaimonic prosperity — lives that are meaningfully well lived — well, then people might just have to begin by making if not radically, then at least marginally more meaningful choices themselves.
The problem isn’t over-innovation – it’s under-innovation in terms of creating value. To be successful, innovation must support strategy. To be sustainable, innovation must create value.
How Can We Break Out of Our Thinking Ruts?
Posted by Tim in design, evolving economic entities on 13 July 2011
Nancy and I just got back from an excellent trip to Italy. We each had presentations at different events there, and we also had a chance to take some time to see the sights. One of the things that we got to see in Rome was the Colosseum. Here’s a shot of us while we were there:
One of things that is really striking about the Colosseum is how much it looks like modern sports stadiums. Building on ideas from naturally occurring amphitheatres, which were then used to make small performance venues, the Romans solved a number of problems in stadium construction in ways that we’ve continued to use for 2000 years now.
How can we get 50,000 people close enough to see human-scale action? The Colosseum solves this – steep tiers in a round stadium.
How can we get these people in and out of the stadium efficiently? Multiple entrances leading to numbered seats in sections.
How do we generate the maximum amount of revenue from wealthy patrons? Luxury boxes – something that modern stadium builders forgot until the 1990s.
What kind of surface should we use? The Colosseum invented the ancient equivalent of astroturf – artificially constructed surfaces meant to replicate a natural playing field. You can also see behind us that underneath this surface they built the locker rooms and other facilities needed to support events in the stadium.
Remarkably, the Colosseum really isn’t that different from the places we go these days to see sporting events.
In many respects, stadium building has been pretty innovation free for the past two millenia.
I wonder if we build stadiums that look like the Colosseum because the Romans solved the problems of stadium building perfectly, or because we’re stuck in a rut in the way we think that stadiums should be built. Jeffrey Phillips makes a point about how we can stuck in these ruts (the whole post is worth reading):
Most businesses are about identifying a few important patterns, determining that the patterns are viable and sustainable, and reducing the patterns to an algorithm which can be improved and made more efficient.
If you consider most large businesses today, they work to specific patterns. Within an industry, the vast majority of competitors in an industry have the same business models and make money in the same ways. The patterns are repeated – the same customer needs are met by a range of competitors using many of the same channels, offerings and features. Over time the patterns and algorithms become more important than the market, which build walls and silos which dictate how businesses provide services to customers. These patterns and algorithms create blind spots. Businesses forget that patterns aren’t permanent, and build monolithic structures to provide ever more efficient pattern matching solutions.
Is that where we are in stadium building? It might be. Jeffrey’s post is building on another excellent post by James Gardner, thinking about innovation in classical music. He watched a string quartet perform a modern composition, which initially he didn’t like. Then he started to think about it more deeply, and realised that this is often the way that people respond to innovation.
There’s a paradox here – how do we avoid the ruts that pattern recognition and reinforcement can lead to? On the one hand, we have to know the subject intimately to have enough expertise to break out of the box. Here is how Gardner describes it:
They start playing. An original, world premiere original composition.
It is modern. It is chaos. It is terrible.
Except, it isn’t so terrible, once you begin to listen. There is order, but it is hidden away under the discords. There is harmony, but it isn’t the harmony you expect, so you don’t hear it.
In particular, there is extraordinary skill in the musicians. The whole thing sounds like a mess, but every bow is going the same direction. The timing of each note is perfect. The silences between the notes precise.
The innovation wouldn’t be possible without the technical skill. The paradox, however, is how expertise can often also prevent us from using our skill to find new ways. Glenn Wiebe makes this point nicely with a quote from the Heath Brothers in Made to Stick:
Your conversations with others in the field are peppered with catch phrases and jargon that are foreign to the uninitiated. When it’s time to accomplish a task — open a store, build a house, sell insurance — those in the know get it done the way it has always been done, stifling innovation as they barrel along the well-worn path.
How can we get around this problem?
The first step is to be aware of it. The second is to find ways to identify these basic assumptions. Finally, we then need to discover ways to work around them.
One way to do this is to find new angles from which we view the problems that we’re trying to solve. John Hagel and John Seely Brown provide a great example of doing in this an article addressing how to design work spaces more effectively. They suggest that if you focus on increasing flow, you will end up making spaces that are radically different. The shift in focus to flow, instead of efficiency is the key to innovation:
…we might apply a key principle of nature’s “constructal” design as discovered by Duke University engineers and authors of “Design with Constructal Theory”, Adrian Bejan and Sylvie Lorente. In order to survive, all systems must evolve by providing greater and greater access to the currents that flow through them. This applies to all physical, biological and social systems that survive and thrive. Whether we are talking about river basins, trees, lung design or our cities, it turns out they all obey this constructal law.
This suggests that maximising flows within and across workspaces should be a key design principle. But let’s take that one step forward. None of the systems just described are static; they are constantly evolving. This suggests another design principle: how to design for evolution rather than creating a static design optimising for the present. What would it mean to design the systems we work in to continually evolve our ability to experience more and more flow, especially the flow of people and ideas?
What kind of stadium would we get if it were designed for flow? I don’t know, but I bet that it might be something that looks quite a bit different from the Colosseum (finally!).
Thinking ruts are dangerous – they make us vulnerable to radical innovations. If you want to break out of these ruts, these are the kinds of questions to start thinking about:
What are the basic assumptions in your field – the patterns that you are trained to reproduce? What happens if you use your expertise to create something different, instead of recreating what you’ve always done? What would your product or service look like if it were designed to maximise flow?
Our Job is to Invent the Future, revisited
Posted by Tim in evolving economic entities on 12 July 2011
If we’re trying to innovate, our job is to invent the future. That’s why I was struck by this quote from Ray Kurzweil from a few years ago:
I’m an inventor, and I started looking at long-term trends because an invention has to make sense in the world in which it was finished, not the world in which it started.
This short quote hits on several important points:
- We have to be thinking about the future because innovation always takes much longer than we expect it to: innovation is a three part process – idea generation, idea selection and execution, and idea diffusion. In particular, idea execution can often take a (very!) long time, as can idea diffusion.
- Innovation requires vision: the first part of the process, idea generation, requires vision. While there is often an overemphasis on ideation, innovation does always start with a great idea.
- We need a methodology for thinking about the future: one way or another, we need to think about where the world is heading. There are many ways to do this. We can make sure that in addition to tending to our core business, we also spend some time finding out what is going on out on the edges. We can use collaborative methods, as outlined in The Open Foresighting project (that link is to Venessa Miemis’ blog – go there and scroll down to the Futures Thinking links in the right column for more great resources in this area). We can use scenario planning – here is a recent version discussed on The Long Now Blog, another good resource. We can extrapolate based on what’s going on today.
In reality, we probably need to undertake a combination of all of these techniques. And just as importantly, we have to combine thinking about the future with a culture of experimentation. It’s experimenting that ensures that we are finding ideas that will actually work.
Our job is to invent the future, and to do that, first we have to formulate a good idea of what the future should be.
What’s Your Skype?
Posted by Tim in business models, complex systems, evolving economic entities on 4 July 2011
In his latest book Macrowikinomics, Don Tapscott (along with Anthony Williams) argues that there are two types of business models in existence today: those that have been disrupted by the internet, and those that are waiting to be disrupted by the internet (summarised in an article from the Wall Street Journal).
I’m not 100% convinced that this is true, but I think that there is great value in acting as though it is.
Here’s an example – take a look at this graph (from TeleGeography):

It shows the annual growth in minutes of international phone calls made over regular phone lines, versus those made on Skype.
Skype was founded in 2003, and almost instantly it was heralded as the death of long distance. It hasn’t been yet (although it has been in my household). However, the graph shows that it took close to eight years for Skype to really start biting into the market share of the traditional telcos.
Like I’ve said before, it takes a lot longer for a new idea to spread than we expect. What happens while this delayed diffusion takes place?
First, there are a lot of inflated claims made about the impact of the new idea. Then it takes longer to diffuse than expected, and everyone that should be worried about it is able to decide that it isn’t a threat after all. Eventually, the new idea either dies out (think Friendfeed), or takes off (think Skype) – but usually much later than expected. When these new ideas do take off, they often seem to take by surprise those operating business models that are disrupted by these ideas.
That’s why I think that it is very important for you to think about your business model, and ask: What’s my Skype?
Thinking about this question now will give you a few advantages:
- Planning for disruption means it won’t take you by surprise when it arrives: by giving some thought to what might disrupt your current business model, it gives you some time to react to these threats.
- Even if you don’t pick the exact idea that disrupts your business model, it’s good practice to think about what could do so: you might not be able to pick the exact idea that will disrupt your current business model. However, giving some thought to what could will help you be flexible in planning for change, and for thinking about scenarios that will help you cope with this change.
- Building this flexible thinking will help you maintain a balanced innovation portfolio: to be successful over the long term, you need to divide your innovation efforts across both ideas that will make you better at what you’re currently doing, and ideas that will disrupt whatever you’re currently doing. You don’t need to invest equal amounts into both types of innovation, but you need to be thinking about both.
Your Skype may not be out there yet. If not, great – you can work on inventing it yourself. If so, thinking about it now, and thinking about how you can respond to the changes it will instigate can be extremely valuable.
The Innovation Matrix Reloaded
Posted by Tim in evolving economic entities, innovation strategy, The Innovation Matrix on 17 June 2011
Since I put the Innovation Matrix together last year, we’ve been experimenting with it to see if it makes sense. I’ve used it in a couple of classes, and John and I have discussed it with a number of people that are actually responsible for innovation within their organisations. We’ve learned that the basic principle seems to resonate pretty strongly with people. We’ve also learned that the original configuration could use a bit of work (conversations with Mark Dodgson and Kate Morrison also helped in this regard).
Here is the new version of the Innovation Matrix:
This is a bit of a distillation of observations over time. I thought of it because I think that a lot of people that are trying to improve innovation within an organisation think that they can go from the bottom left (No Innovation Capability) to the top right (World Class Innovator) in one jump, simply by introducing some sort of innovation program. I think that this is impossible – that you actually have to make the trip in a number of steps, and that there are many different paths that you can take.
The table has two increasing dimensions. Across the horizontal axis there is increasing commitment to innovation. This can include things like talking about how innovation is important, including it as a core value, putting in systems to support and improve innovation, and explicitly earmarking time, money and other resources to innovation. This is measuring innovation inputs.
Going up the vertical axis shows an increase in innovation competence – mainly the ability to generate and successfully execute new ideas. This measures innovation outputs.
Here is a brief description of each box:
- No Innovation Capability: these firms don’t innovate. This isn’t necessarily bad – there’s no value judgment being made. They can be successful if they have strong positions in stable industries, or they can be average performers or struggling in other circumstances. I think we can probably all think of examples for this category.
- Thinking About Innovation: firms in this category are starting to talk about the importance of innovation. They might add it to their list of core values, or have a CEO that is starting to talk it up. Regardless of this increase in awareness and commitment, they are still not very good at it. This is often the first step that organisations take in trying to improve innovation.
- All Talk, No Action: is a self-explanatory category. They are talking the talk, with official innovation programs, commitment of time and resources, etc. But they’re still lousy at actually executing ideas. They may have an excessive focus on ideation, a bad selection process, or just not be very good at executing.
- Accidental Innovators: These would be firms that innovate under some other name – so they might be really good at process innovations through a continuous improvement or lean program. They are able to execute ideas reasonably well, but they don’t have any structure in place to support it, nor do they think that they’re innovative. They innovate through stealth.
- Average at Everything: these firms have some structure in place to support innovation, and they are getting better at doing it. Several firms that I work with have gotten to this level after moving first to Talking About Innovation.
- Potential Stars: there are two paths to get to this point. Along on, these organisations are good at innovating, and they are putting more resources into getting better at it. They have top-level commitment to innovation, good processes in place, and dedicated resources for innovation. They are reasonably good at executing new ideas and have the potential to become extremely good. The other path is to be very good at executing new ideas, but with less structure. These organisations aren’t sinking huge amounts of resources into the process, but they are consciously trying to innovate. Because they lack full commitment to innovation, it might not become systematized, but they also have the potential to be extremely good.
- Unicorns: the problem with making a matrix is that you have to put something into every box, even if it’s mythical.
- World Class Innovators: Another self-explanatory category. In these firms innovation is deeply embedded in the culture – everything is oriented around innovation. Think Google, Apple, 3M, Procter & Gamble etc.
How to use this:
Here are some things that I think we can do with this:
- Use it to make a better picture of how firms improve at innovation: Many of the people in my classes are in firms towards the bottom left, and many of the examples that we use to illustrate points are from firms in the top right (Google, P&G, 3M, etc.). This might be too big a conceptual jump. Not every firm can get to the top right, and neither should every firm aim to. It is more productive to think of this as an incremental process of steps, rather than one big jump.
- Track the evolution of firms: we can learn about how to best manage innovation by tracking how firms progress through this matrix. For example, one firm I work with started with No Innovation Capability, then started talking about it and moved to Thinking About Innovation, and now that they are getting better at it they are Average at Everything.
- Realise that there are multiple targets to shoot at: Like I said, not every organisation can be Google. Thinking about innovation with this matrix, you can see that all of the categories in the top row are excellent at innovation. However, the farther you go to the right, the more resources you have to commit to build and maintain this level of excellence. There are many situations where you can try to be an excellent innovator with a more bottom-up, less resource-intensive system in place.
- Think About the Best Path to Follow: Almost everyone starts by increasing commitment. The danger with this is that you can end up in the All Talk, No Action category. I wonder if we should be figuring out ways to improve capability rather than commitment. Or is this even possible? It’s an interesting question, and you can certainly make a strong argument in favour of increasing capability before you increase how much you talk about innovating.
The main point with The Innovation Matrix is that improving your innovation performance is a journey of many steps, not simply one big leap. The matrix is designed to help us think about this more accurately, and to be more successful at improving our innovation performance.
If you have any thoughts on this, we’d love to hear them.
Three Signs That Your Business Model is Obsolete
Posted by Tim in complex systems, evolving economic entities on 15 June 2011
When I was working on yesterday’s post about the business model experiment that Kaiser Chiefs are running, I came across a quote from Paul Morley that bothered me enough to trigger this post. It’s from the discussion of the idea in the Financial Times, and Morley is suggesting that the experiment is a terrible idea. Here’s why:
If you’ve got the time, it is always best to listen to a great album from beginning to end, preferably with a break in the middle where you turn the record over – creating four very specific moments of drama, the beginning and ends of sides one and two, with moments of surprise and intrigue carefully distributed in between to make separate songs work as a whole.
Bringing It All Back Home, Bob Dylan’s 1965 album, is my choice from the 1960s for the perfect album sequence…
Consequently, letting listeners choose their own album sequence is bad.
Look, I still own about 800 records on vinyl, so I can understand why he’s saying what he’s saying. But still – give me a break!!
Bringing It All Back Home is nearly 50 years old now. Criticising modern artists for not following the same tropes today is exactly the same as saying that Dylan should have been making records in exactly the same way as people were around the time that Robert Johnson was five years old. It’s just nuts.
This is dominant logic thinking – and this is an approach that can kill you in turbulent environments.
A firm or industry’s dominant logic is usually determined by whatever business model first led to success. While things are stable, it is fine to just keep innovating incrementally. However, when things around you start going unstable, you need to start experimenting.
Here are three signs that your business model might be obsolete – if you say:
- We should be doing things in exactly the same way that we were fifty years ago: I don’t think we need anything more on this – it’s a huge danger sign.
- I want you to think outside of the box: this one is tough, because it sounds like you actually are asking people to innovate. However, here is what it usually means:
“Think outside the box” usually means “make a small jump that will move one edge of the box out just a tiny bit”. Incremental. If someone asks you to think outside of the box, and you come back with a star instead of a slightly rejigged box, you’ll most likely be in trouble. Thinking outside of the box is a good sign that your business model is too old.
- We have to educate the market: this can mean two things – “our new idea is ahead of its time, so people don’t understand it yet”, or “if we just explain it to people, they will still love the business model that we’ve been using all along.” Unfortunately, it usually means the latter. I have yet to hear someone use this phrase when they weren’t already deeply in trouble.
It’s really difficult to move beyond the dominant logic of your firm, or your industry. In part this is because of how strongly connected these offerings are with existing suppliers and customers. Changing the business model is just the first domino in a long line that will then inevitably fall.
Nevertheless, if you see one of these signs that your business model is obsolete, the time to act is now. And at this point, you can’t just move the lines of your box. You’ll have to experiment to see if you can come up with a star.
Are You Climbing Hills or Crossing Valleys?
Posted by Tim in complex systems, evolving economic entities on 4 June 2011
One of the key issues we face in managing organisations is the state of the environment surrounding us. Is it stable or turbulent? This has an impact on our innovation strategy. In stable environments, we can afford to concentrate just on getting better at what we’re doing. However, in turbulent environments, we need to undertake more exploratory innovation efforts.
One problem with this scenario is that stable environments can turn turbulent quickly and without warning. Think about the housing markets in the US and the UK in 2008 (and all the markets related to those two). This is the basis of Nassim Nicholas Taleb’s black swan theory.
Lee Smolin makes some important points about coping with these types of shifts. The main thrust of the article is that scientific research may be too conservative these days as researchers focus more on taking a safe approach to facilitate publishing, while not spending enough time on the riskier big questions. While black swan events (things with a low probability of occurring, but which have a large impact if they do actually arise) are often negative in financial markets, they are sought after in science and innnovation.
I found the article through the a good post by Roland Harwood. The angle that he thought was most interesting was that the article proposes the formation of markets for research. That is an interesting angle, but not the one that grabbed me. I was struck by this section:
Some scientists, he suggests, are what we might call “hill climbers”. They tend to be highly skilled in technical terms and their work mostly takes established lines of insight that pushes them further; they climb upward into the hills in some abstract space of scientific fitness, always taking small steps to improve the agreement of theory and observation. These scientists do “normal” science. In contrast, other scientists are more radical and adventurous in spirit, and they can be seen as “valley crossers”. They may be less skilled technically, but they tend to have strong scientific intuition — the ability to spot hidden assumptions and to look at familiar topics in totally new ways.
To be most effective, Smolin argues, science needs a mix of hill climbers and valley crossers. Too many hill climbers doing normal science, and you end up sooner or later with lots of them stuck on the tops of local hills, each defending their own territory. Science then suffers from a lack of enough valley crossers able to strike out from those intellectually tidy positions to explore further away and find higher peaks.
This is a nice description of innovating on fitness landscapes, an idea that John and I have been talking about in our classes. And it is particularly important now. There are numerous reports coming out showing that companies have become increasingly conservative in their innovation efforts as a response to the global financial crisis. In Smolin’s analogy, companies are reverting to only undertaking hill climbing. Many have never thought much about valley crossing in the first place, while many others are pulling resources out of more speculative ideas.
This is as wrong for business as it is for science. Innovation is central to survival, and successful innovation requires both hill climbing and valley crossing. Now more than ever it is critical for firms to figure out a way to continue to invest in areas that have breakthrough potential. Newspapers and record companies have collectively been very effective at getting to the top of their hills. And these industries are in big trouble now because they have completely missed on out the discovery of new, better hills. It’s a challenging process to manage in good times, and probably even harder now. But it’s still essential.
One way to cope with this problem is to maintain an innovation portfolio. The idea with this is that we always need to investigate ideas that both help us climb hills and cross valleys. A large percentage of our efforts do need to go into hill climbing. This leads to incremental innovations that keep us competitive.
However, it is essential to always be working on a few ideas that will lead to valley crossing. This can prepare us for times when our environment becomes turbulent unexpectedly. This turbulence can come from an unexpected financial shock, a natural disaster, or the introduction of a disruptive innovation.
In all of these cases, maintaining an innovation portfolio will make you better equipped to deal with this change.
On the innovation journey, we need to be climbing hills, but we also have to cross a valley every now then as well.














