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Archive for October, 2010

Supporting Innovation

Guest post by Holly Green

Does Your Culture Support Innovation?

There’s a lot of people talking about innovation these days, myself included.

The good news is that business leaders seem to be sitting up and taking notice of this important subject. The bad news is that once a topic becomes popular in the media, people have a tendency to see it as the next “management flavor of the month.” In other words, they perceive it as a quick fix solution rather than a long-term change in the way they do business.

Remember a few decades ago when everyone jumped on the continuous improvement bandwagon? Very quickly, companies of all shapes and sizes began implementing six sigma, lean manufacturing, and other types of process improvement programs. Many had no clue what they were doing or worked hard without a link to overall strategy and success. And most had very unrealistic timelines and expectations for the results they hoped to achieve.

Not surprisingly, the continuous improvement movement failed to produce any overnight successes. Companies that approached continuous improvement as a quick fix soon discovered the error of their ways, usually ending up worse off than before they started. Those that invested the time and effort in making continuous improvement a way of life are still reaping the dividends.

The same thing needs to happen with innovation. To succeed, it needs to become an integral part of how you do business. Innovation requires ways of thinking that must underlie all the process, systems, and management behaviors in an organization. Creating ongoing innovation in an organization needs to be thought of as a long-term process, especially if you are used to reacting to change rather than creating it. Most of all, innovation requires an organizational culture that nourishes and supports it as a way of life rather than as a short-term band-aid for current business problems.

To create a culture that encourages rather than inhibits innovation:

Create a Powerful Context

The strategic planning process starts with defining what winning looks like for your organization. Creating a culture that supports innovation begins the same way. Start by explaining why innovation is important and how it will help your organization win. Paint a picture of what your organization will look like when innovation becomes a way of life and how it will benefit all your key stakeholders. Always address the “why” before moving on to the “what” and the “how.”

Help People Learn to Think Differently

Most of us don’t really know how to pause to challenge our own assumptions, change perspectives, or even how to consider different angles. We are not used to slowing down just a little to consider options, balance the big picture with the details, or seek new data. As adult humans, we are not naturally prone to constantly test and update our mental models about our world, our customers, our peers, and our organization. Most of us need tools and support to learn these critical new skills and abilities. Make sure you set your organization up for success by providing the necessary support in the form of learning sessions, tools, and techniques to help people think differently.

Link Individual Effort to the Big Picture

Not only do employees need to understand why innovation is critical to the organization, they must also understand how the work they do fits into the overall effort. After giving employees the big picture, tell them how and where they fit in. Ask for their input on how to improve products, processes and workflow, and let them know they will have some degree of autonomy in how they perform their jobs. In addition, stress the importance of open communication up and down the management chain as well as across teams, departments, and work units.

Build and Encourage Diversity

One of the quickest ways to kill innovation is to surround yourself with people who think the same way, make decisions the same way, and tend to avoid conflict. Ask yourself questions like: Do we develop teams with diverse skills and analytical styles? Do we accommodate all styles in meetings and conversation, or do we favor one style over the others? As an organization, do we value contention, debate, and tension or do we constantly rush to consensus? Conversely, do we get stuck in analysis paralysis and avoid making decisions for fear of failure?

Use Supportive Language and Behaviors

Many organizations have built-in language patterns and behaviors that do not support innovation. Seemingly innocuous phrases like “Don’t bother, we’ve already tried that” or, “Nice idea, but management will never go for it” can instantly shoot down any good ideas that may arise. Instead, use language that encourages employees to contribute ideas and stay open to new possibilities. Do not tolerate gossiping, politicking or ridiculing new ideas, no matter how far-fetched. If employees don’t feel safe voicing their ideas and opinions, innovation will never happen.

Acknowledge and Reward Innovation

It’s one of the oldest axioms of human nature – people repeat behaviors they get rewarded for. Does leadership in your organization give employees continual feedback on the results of their efforts? Do you privately acknowledge the efforts of individuals? Do you recognize them publicly? Do you continually communicate your commitment to innovation at all levels of the organization? Most important, do you demonstrate that commitment by your actions and behaviors as well as the words you say?

Talking about innovation is good. Putting it to work in your organization is even better. For best results, link innovation to your strategy and think of creating ongoing innovation as a long-term process rather than a short-term goal. And make sure your culture provides the necessary context for it to thrive.

Holly is the CEO of THE HUMAN FACTOR, Inc. (www.TheHumanFactor.biz) and is a highly sought after and acclaimed speaker, business consultant, and author. Her unique approach to creating strategic agility, helping others go slow to go fast, will change your thinking.

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Get Ready for an Innovative China and India!

I’m always staggered by the figures on the the development of China and India. Sometimes numbers are almost too big to comprehend but a McKinsey report from 2008 gave a nice summary of the projected transformations that will occur in China before 2025. This urbanization is the biggest migration of people in world history. Approximately 350 million people (the population of the US) will be added to China and about 1 billion Chinese will live in cities. To accommodate these people China will need:
* 221 cities with more than 1 million people (Europe currently has 35).
* 8 mega cities with more than 10 million people.

These cities will need:
*5 billion square meters of road.
*170 mass-transit systems.
*40 billion square meters of floor-space in over 5 million new buildings.
*50,000 of these buildings could be skyscrapers, the equivalent of building 10 New York cities.

China still has the reputation for being the world’s factory, manufacturing products at low cost. China’s car and truck manufacturing alone stands at about 20 million units per annum. However, the next phase of Chinese and Indian growth will be the shift to a knowledge based economy. When that happens, the world will be a fundamentally different place, both economically and politically.

This transformation may happen faster than we expect. Tim and I teach the innovation course in the MBA program at the University of Queensland and this semester we have been joined by visiting academics from Guangdong University of Foreign Studies. They like the innovation course and tell us that it is very different from what they have seen in other business schools. As far as I can tell, they are visiting several business schools around the world to put together a “best of breed” MBA program. These Chinese academics are smart, articulate and very capable with research and it won’t be long until we see many Chinese and Indian business schools in the top 100 in the world.

Is a world that is dominated economically by China and India a new thing? Have a look at the very confronting chart below. A world dominated by the “west” is a relatively new phenomenon. The rise of the “east” may just be a reversion to the mean.

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The Bus Test for Innovation

Here is a quick test of your organisation’s innovation program.

Step 1: Think of the person in your organisation that has the most responsibility for making innovation happen.

Step 2: Imagine that that person is the guy walking across the street in this video – for the purpose of illustration, we’ll call him Tom:

Step 3: If your innovation person isn’t as quick as the guy in the video, would your response be:

  • A: Now that Tom is gone, our innovation program will disappear. He’s been driving everything.
  • B: It’s a real shame what happened to Tom. It’s a good thing that we have lots of people that work on innovation here – that will be his legacy.

If your answer is A, you need to take steps to make sure that innovation skills and competencies are embedded throughout your organisation.

And if you’re Tom, you need to stay alert!

Don’t fail the innovation bus test.

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Why New Ideas Can be Bad

Innovation is about more than just having great ideas – a point we’ve made here repeatedly. To innovate, you also have to execute ideas relentlessly. For many people, this is actually the hard part. I’m currently reading Making Ideas Happen by Scott Belsky, and it has some of the most sensible advice on this topic that I’ve run across.

Here is a talk in which Belsky outlines some of the key points from the first part of the book:

Scott Belsky: How to Avoid the Idea Generation Trap from 99% on Vimeo.

The book supports a couple of points that we’ve made here before. One is that idea execution is essential. People are idea-generation machines. Belsky started the 99% Conference based on the old Edison quote – that invention is 1% inspiration and 99% perspiration. The issue is that if you look at the books, tips and consultants that address this topic, it would sure look like the equation is reversed. Given that, it’s great to see someone trying to address the 99%.

The second issue that he addresses nicely is the idea of constraints – he correctly points out that we’re more creative when we have to deal with constraints. One of the key reasons is that constraints make us focus, which is a critical step in executing ideas. Here’s how Belsky puts it:

Constraints serve as kindling for execution. When you’re not given constraints, you must seek them. You can start with the resources that are scarce – often time, money and energy (manpower). Also, by further defining the problem you are solving, you will come across certain limitations that are helpful constraints. As you find them, try to better understand them.

Brilliant creative minds become more focused and actionable when the realm of possibilities is defined and, to some extent, restricted. …

Despite your natural tendency to thrive on untethered creativity, you must recognize and harness constraints. And it is ultimately your responsibility to seek constraints when they are not given to you.

These ideas are pulled together with the graphic that shows the project plateau (which he discusses in this post from Smashing Magazine):

This shows the levels of excitement and energy that we have for ideas over time. When they are new, we have lots of both. However, once we settle into trying to make the idea real, the levels of both excitement and energy go down – it starts to feel more like work. How do we respond to this?

According to Belsky, the natural response is to look for the excitement of a new idea again – and succumbing to this temptation is deadly. If you do, you’ll end up with a lot of partially-executed ideas, which is functionally equivalent to having, well, no ideas at all.

The book (and the supporting website) has a lot of ideas for how to work through this. The main idea is to break down ideas (and the projects that result from them) down into action steps, and then focus on getting these done. It is easier to get big projects done when you are able to build momentum by achieving small steps on them on a near-constant basis.

In some ways this is similar to Dave Allen’s Get Things Done approach, but Belsky’s is more oriented to people doing creative work. Consequently, for me at least, this approach seems more useful. And since innovation is definitely creative, Making Ideas Happen will probably be useful for most people trying to improve innovation.

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Innovation Stories: Internet Research, Wooden Engines & The Gap

Three stories that caught my eye today:

First up, Stowe Boyd found this quote about competing with internet research firms Gartner and Forrester:

In our view, firms wishing to disrupt the Gartner and Forrester models must have two particular attributes. First, they need a significant differentiator. It can be in specialization, the business model, service delivery or other areas. Equally importantly, they must be able to scale. That means substantial funding, an effective sales operation, well-honed M&A skills, or a combination of all three.

He then expands on this by explaining his specialization strategy:

I think the key factor in microadvisory firms will be narrow focus. In my case, for example, I exclusively focus on social technologies, and as a result I can remain deeply aware of what’s happening in that (growing) niche. Others will track mobile, or enterprise software, or CRM.

This allows a different sort of scale — not breadth but depth.

As I said a few years ago, ‘I am giving up on balance, I am going for depth instead.’

I think that this is exactly the right approach to take. Instead of trying to be as comprehensive as the big players in the market, you can actually make up ground by going deep. This is another example of ignoring your weaknesses while building on your strengths. Of course, your weak areas still need to meet the minimum baseline, but once you’re over that line, it makes a lot of strength to put resources into areas where you’re already ahead.

The second thing that caught my eye is this:

That’s exactly what it looks like – a full-size replica of a Ferrari engine, made out of wood. It’s innovative, but I’m not quite sure where the market is for it. On the other hand, whatever the target market is, I’m not in it, so maybe I’m underestimating it’s size.

I’ve talked before about innovative craft-based business models, but I was thinking more along the lines of something like Saddleback Leather Co. On the other hand, this is clearly a unique model, or a labour of love, or both…

You can afford to be that iconoclastic if you are making a one-off item that only has to find one person that thinks it’s cool. It’s quite another to be so removed from the market if you are aiming squarely at the middle. The Gap is doing precisely that, which is what makes the flap over their new logo so gobsmacking. I like this take from Peter Lloyd at IdeaConnection:

In our marketing democracy, all top-down leaders eventually face the fate of national crowned heads, sovereigns, and tyrants. And most of them do it to themselves. Right after they lose touch with the source of their power, their consumers. Then, like Gap North America President Marka Hansen, they’re forced to tap dance backwards:

“Now, given the passionate outpouring from customers that followed, we’ve decided to engage in the dialogue, take their feedback on board and work together as we move ahead and evolve to the next phase of Gap.”

Like Lloyd, I am astonished that the idea of talking to customers only occurred to them after all this happened. That’s also why aiming for the middle stifles innovation – the middle doesn’t like change.

Innovators need to aim for the extremes, either the cutting edge, or the laggards. Which takes me back to the Stowe Boyd post. Extreme specialisation is one good way to do this. Going deep ensures that we are in touch with our customers, making it much easier to be innovative.

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How Do You Know When to Jump?

We keep hearing that the whole point of strategy is build a sustainable competitive advantage. This makes some sense, up to a point. The problem though is that the skills and routines that help us build one can also constrain us, and prevent us from responding to a changing environment.

That change can be someone who has come up with a better version of whatever it is we do, or it can be a change driven by new economic platforms. In both cases, one of the difficult decisions to make is when to jump to the new platform or the new technology.

James Surowiecki illustrates this dilemma in The Next Level, his discussion of the demise of Blockbuster:

Why didn’t Blockbuster evolve more quickly? In part, it was because of what you could call the “internal constituency” problem: the company was full of people who had been there when bricks-and-mortar stores were hugely profitable, and who couldn’t believe that those days were gone for good. Blockbuster treated its thousands of stores as if they were a protective moat, when in fact they were the business equivalent of the Maginot Line. The familiar sunk-cost fallacy made things worse. Myriad studies have shown that, once decision-makers invest in a project, they’re likely to keep doing so, because of the money already at stake. Rather than dramatically shrinking both the size and the number of its stores, Blockbuster just kept throwing good money after bad.

There can be good reasons to not react to a threat. However, whenever I hear someone say that they won’t introduce an innovation because it will cannabilize market share, I get worried. This is another “internal constituency” problem – over the long run, you should be a cannibal.

After all, it’s better to take market share from yourself than to let someone else do it.

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Fear and Scorn versus Idea Diffusion

Lots of new ideas fail. Many of them are great ideas, and they’ve been proven to solve an important problem, yet they still fail. Why? Because in addition to having a great idea, and making it work, if we are innovating we also have to get the idea to spread.

Part of the problem is that to get people to take up our idea, we often have to get them to abandon a competing idea first. This if often challenging.

In I Live in the Future & Here’s How it Works, Nick Bilton illustrates two of the other enemies of idea diffusion: fear and scorn. First up – fear. Here is one of the first responses to the invention of the telephone:

No one who can sit in his study with his telephone by his side and thus listen to the performance of an opera at the Academy will care to go to Fourteenth Street and to spend the evening in a hot and crowded building… It is an unpleasant task to point out a possibly sinister purpose on the part of an inventor of conceded genius and ostensibly benevolent intentions. Nevertheless, a patriotic regard for the success of our approaching Centennial celebration renders it necessary to warn the managers of the Philadelphia exhibitions that the telephone may really be a device of the enemies of the Republic.

So, telephones will mean that no one will ever leave their house again (why would you?), and are actually designed to bring about the downfall of America!

Then there’s this a year later concerning an even great threat – the phonograph!

There is good reason to believe that if the phonograph proves to be what its inventor claims that it is, both book-making and reading will fall into disuse…. Blessed will be the lot of the small boy of the future. He will never have to learn his letters or to wrestle with the spelling book…

Fear is often used to try to prevent the spread of new ideas. Another weapon is scorn. Consider this from Clifford Stoll from 1995:

But today, I’m uneasy about this most trendy and oversold community. Visionaries see a future of telecommuting workers, interactive libraries and multimedia classrooms. They speak of electronic town meetings and virtual communities. Commerce and business will shift from offices and malls to networks and modems. And the freedom of digital networks will make government more democratic.

Baloney. Do our computer pundits lack all common sense? The truth in no online database will replace your daily newspaper, no CD-ROM can take the place of a competent teacher and no computer network will change the way government works.

Why do we see this? In part, it’s because supporters of new ideas often wildly oversell their benefits, thus inviting a backlash. We’re seeing this play out again with the is social media good or bad for social change argument (great summary here, which also shows that of course the truth is somewhere in the middle).

A big part of the problem is that when a new idea is introduced, we have absolutely no idea what it’s impact will actually be. Everyone is speculating – both those who are trying to support it, and those who are fighting against it. In some respects, these ideas are Rorschach tests – the reactions that we read aren’t really about the impact of the idea, but instead are projections of the obsessions of the authors.

In any case, if you are an innovator, fear and scorn are problems. They will be used to argue against your new idea, no matter how great it is. That is one of the reasons why getting your idea to spread is a critical part of the innovation process. Diffusion problems can kill even the best ideas.

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I Was Wrong

When is the last time that you wrong? Hugely, spectacularly wrong?

I’m wrong a lot. I’ve learned to live with it. Here’s an example of one of my biggest mistakes – the fundamental premise in my PhD research was completely wrong!

I had an idea when I read a paper by M. Angeles Serrano and Marian Boguna called Topology of the World Trade Web. In it, they showed that if you mapped international trade as a network, with countries as the nodes and trade relations as the links, it was a complex network (see Greg Satell’s excellent discussion of networks for more information on the basics of network analysis). I saw this, and I thought that if you could map international trade as a network over time, then that would be a great way to try to measure the impact of globalisation. After all, we all knew that globalisation was changing the fundamental structure of the international economy, right?

So that’s what I did for my PhD. I found international trade data from the International Monetary Fund that went back to 1938, and I mapped the networks as they changed over time. One of the key measures in all of this is In-Degree. For any particular country, this measures the number of other countries that send a significant percentage of their exports to that country. If you are an important trading partner for many other countries, your in-degree will be high. If few countries export goods and services to you, your in-degree will be low.

One of the important measures of the overall structure of the network is the distribution of degree. This is what the distribution of in-degree looks like from one of my sample years:

This shows that most countries have a very low in-degree. The majority of countries are clustered in the 0-5 range. In other words, the majority of countries in the international trade network are important trading partners for very few other countries. At the other end of the spectrum, you can see that a handful of countries have really big in-degree values on the right side of the graph. These are the hubs in the international trade network – countries like the US, UK, Germany, and Japan.

The physicists that started this line of research usually convert these histograms into a chart that shows degree probability distribution functions. This is what the PDF for the 1938 world trade network looks like:

Here’s where I was wrong. I thought that the shape of this distribution should change over time. We hear two stories about globalisation. The first is that everyone is trading with everyone else now. If that is the case, the degree distribution of the international trade network should be changing to more closely resemble the shape of the curved line in this figure:

However, other people say that globalisation leads to the rich getting richer. If this is true, then the shape of the degree distribution line should be changing to be more like a straight line – more closely resembling one of the lines in that figure.

I was pretty certain that my study would prove that one of these assertions was correct.

Here is what I found – this is the degree distribution of the international trade network as it evolved from 1938-2003:

What that shows is the shape of the degree distribution hasn’t changed at all. The lines have shifted to the right a bit as the number of countries in the network increased from about 100 to around 200, and that’s the only real change.

I was completely, totally wrong about the impact that globalisation would have on the structure of the overall network.

I was able to get a PhD out of that because that’s actually an interesting finding in and of itself (and I did a fair bit of work investigating other aspects of the network that have actually changed). But the core hypothesis that I had at the start of the research was wrong.

I thought of this when I was reading Where Good Ideas Come From by Steven Johnson. It’s a fantastic book. He includes one chapter discussing the importance of error in innovation, which includes this quote from William Stanley Jevons:

It would be an error to suppose that the great discoverer seizes at once upon the truth, or has any unerring method of divining it. In all probability the errors of the great mind exceed in number those of the less vigorous one. Fertility of imagination and abundance of guesses at truth are among the first requisites of discovery; but the erroneous guesses must be many times as numerous as those that prove well founded. The weakest analogies, the most whimsical notions, the most apparently absurd theories, may pass through the teeming brain, and no record remain of more than the hundredth part.

In other words, to be innovative, we have to be wrong a lot. Being wrong is the first step towards being right.

Don’t hide your mistakes, learn from them. If every idea that you try works, it’s a sure sign that you’re not trying enough ideas.

When was the last time that you were massively, gloriously wrong?

Note: I’ve got a couple of papers close to publication on this topic, but if you’d like to see it all explained, you can take a look at this conference paper from a few years ago.

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Shades of Grey

Almost every single time you are offered a black or white choice, the real answer is grey.

This is inconvenient, because we like things to either white or black, right or wrong, easy or hard, incremental or radical. But the simple fact is that all of these are false dichotomies. Nearly everything that is presented to us as an either/or choice usually represents a spectrum.

I was reminded of this again by a passage from Philip Ball’s terrific chapter in Seeing Further: The Story of Science and the Royal Society edited by Bill Bryson. If you are at all interested in science, this book is a must read. Here is Ball’s passage on basic vs. applied research:

A dividing line between pure and applied science makes no sense at all, running as it does in a convoluted path through disciplines, departments, even individual scientific papers and careers. Research aimed at applications fills the pages of the leading journals in physics, chemistry and the life and Earth sciences; curiosity-driven research with no real practical value is abundant in the ‘applied’ literature of the materials, biotechnological and engineering sciences. THe fact that ‘pure’ and ‘applied’ science are useful and meaningful terms seduces us sometimes into thinking that they are real, absolute and distinct categories.

We often talk in absolutes because it makes things simpler. I certainly do that here on occasion, especially when I’m trying to make a point. But these dichotomies hide spectrums. Outside of computer programs, where everything is a 1 or a 0, there are very things that are either/or choices. Most things exist along a spectrum.

Innovation isn’t either radical or incremental – it is usually somewhere in between. Thinking and doing are not two opposite activities – they are intricately interlinked, and usually if we’re doing one we’re doing the other as well. Science is not just pure or applied – there are plenty of shades of grey in between. Ball includes a quote from Lord Porter, who won a Nobel Prize in Chemistry, and was President of The Royal Society, who said: “There are two types of research, applied and not-yet-applied.” Research exists along a spectrum of applied-ness.

Labels are useful – they help us identify things, and that is important. However, false dichotomies are less useful. Thinking that something must be in only one of two possible states when it is actually somewhere in between leads to mistakes.

Thinking in black and white terms can be comforting, because it’s simple. But it’s a false comfort. You’ll be a better manager and a better innovator if you can learn to identify the various shades of grey.

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Can Corporate Boards Help Organizations to be More Innovative?

One area of thinking around innovation that doesn’t get much attention is how ownership and governance affects the ability of an organization to be innovative. It’s an issue that’s been playing on my mind for a few years but a recent conversation has prompted me to write down some ideas. First. I’ll just outline the conversation and then I’ll put down a few thoughts about links between corporate goverance and innovation.

Andrew had been the innovation manager for a particular firm for a number of years. We never really collaborated on any projects but we often catch up over a cup of coffee to swap ideas. Earlier this year, I heard that he had left the company which suprised me because the company is known for its emphasis on innovation as a way of competing and generating new lines of business. Without appearing to be too blunt, I asked him why he left.

His answer was that he had gotten tired of banging his head against the wall and that there was no way that the company would really become innovative. There would always be a focus on small improvements and relatively short-term gains. When I asked him to explain what he meant by this, he said that the fundamental problem was the ownership structure of the firm. As a partnership, the way to become a partner was to sacrifice work-life balance for twenty years to get a substantial ‘annuity’. Asking partners to invest in more risky and longer term business proposals is really like asking them to risk their annuity for a return that they may never see. Getting short-term and incremental business improvements funded was no problem, but the partners were never going to have the necessary risk appetite for innovation.

I could see his point and I could also see the problem from a partner’s point of view. After years of stress and long hours to get the parnetrship, why would I be interested in the long-term future of the business? I have earned my reward, and nobody is going to take that from me until I retire. As an MBA student said to me in a class last night, becoming a partner is like a pie-eating competition and the prize is that you get to eat more pie.

In terms of the research, we really don’t know that much about ownership, governance and innovation. A colleague of mine, Kevin Hendry, has been doing some really nice work on how boards develop strategy. His research shows that boards behave very differently from each other because the legal duty of the director is quite ambiguous. While most people believe that the job of the director is to maximize shareholder value, Kevin points out that Australian law states that the duty of the director is to act in the best long-term interests of the company. The only time where there is a mandate to maximize shareholder wealth is when the company is subject to takeover.

I’d argue that innovation is in the long-term interest of every organization, but I suspect that most directors struggle with the concept. I’m not sure how many would be able to talk about the relelvence of innovation to different industries or how leading companies successfully manage innovation. According to Kevin’s research some boards are actively involved with management in shaping strategy while others are more of a ‘rubber stamp’. A lack of knowledge on managing innovation may not be too much of a problem for a rubber stamp board but an interactive board who don’t understand innovation will probably be a major obtacle to the firm becoming more innovative. We need to do a lot more work to undertand how board literacy and interaction with management shapes innovation strategy.

On the other hand, a lot of innovative firms that I know are owned by entrepreneurial people who have an appetite for risk and understand the innovation process. There may be a real advatage here for owner-operated firms.

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