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Archive for October, 2009

plan a little, implement a lot

That’s a saying that one of our research partners attributed today to Etienne Wenger, and which he said was one of the ideas that drove their successful implementation of a Communities of Practice initiative. While it is saying it in a slightly different way, I think that this supports a couple of my key ideas about innovation. The first is the importance of action – action is always worth more than ideas, just like implementation is worth more than plans. The second is that innovations are discovered in use. One of the things that they did extremely well in putting together their CoPs is that they let gave the new communities resources and some guidelines, but then they let them evolve organically. They didn’t specify in advance ‘this is what the communities should look like’ – the let the groups discover the best structures and routines for themselves.

So that’s my advice for the day: plan a little and implement a lot.

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innovative innovation research

It’s been fascinating to see the reaction to the announcement that Oliver Williamson and Elinor Ostrom will receive this year’s Nobel for economics (and if you want to argue about whether or not it’s a real Nobel, let me refer you to Felix Salmon’s take on the issue, which I endorse!). As I said yesterday, I’m particularly happy about Ostrom winning. I’m not sure I explained why very well yesterday, so I’m going to take another crack at it.

Ultimately, I would like to see business research start to look more like biology, or geology (or, really, any of the natural sciences). This is part of why I ended up thinking of myself as an evolutionary economist. One of the things that economists and management scholars don’t do very well is observe and classify – which is the first step in the natural sciences. Because the economy is a complex adaptive system, it is often very difficult to directly measure the things that we are most interested in – consequently, a lot of the data that is used consists of proxy measures (Michael Martin has some interesting things to say about these issues on his blog). A big part of the reason that I love Ostrom’s research is that she starts with observation and classification, then builds theory about how the complex system works based on these rigorous first steps. Mario Rizzo describes this process well:

The central problem on which her employment of the notion of “thick rationality” can shed light is what she calls “social dilemmas.” These are circumstances in which interacting individuals can easily succumb to maximizing their short-term interests to the detriment of their long term interests. To return to our irrigation example, suppose farmers share the use of a creek for irrigation. They face a collective problem of organizing to clear out the fallen trees and brush from the previous winter. Each farmer would like to have the others do it. There are incentives to free-ride on the “public spiritedness” of others – however, everyone may think this way and nothing will get done. Ostrom finds that cooperation will often take place while the “thin” theory of rationality predicts that it will not. She finds that factors such as face-to-face contact (likely when there are small numbers), the equality of each farmer’s stake in the benefits of irrigation, and the ease of monitoring the farmer’s contribution to brush removal all make the likelihood of cooperation greater.

I think this is exactly how social science should be done. We should observe, count, measure and then classify. Only then can we build models and theory. Those first steps are often boring, tedious and difficult but they are the foundation of created usable models. They are also essential for understanding the limits of our models and under which circumstances they will not apply. One of the worst criticisms that economists make of economic research is that it is not ‘theoretically motivated’ – I’ve heard that a few times about my own work. Well, I don’t think it has to be. Instead of doing theory-rich speculation, I think we’d be better off doing observation-grounded theory development. So if you’re interested in researching or managing the innovation process, the first step is to get out there and start counting!

(picture from flickr/gbaku – creative commons license – for the creative commons take on Ostrom, check out this post)

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getting ideas to spread

Derek Powazek has written a post that pretty thoroughly eviscerates the idea of search engine optimisation. He starts his final paragraph this way:

Which brings us, finally, to the One True Way to get a lot of traffic on the web. It’s pretty simple, and I’m going to give it to you here, for free:

Make something great. Tell people about it. Do it again.

This isn’t just true for building website traffic – it applies to getting any idea to spread. Since the third step in evolutionary innovation is replication (getting ideas to spread!), his thoughts apply just as much to managing the innovation process as they do to websites. It takes time to do things this way, but the results are much more sustainable.

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the news value proposition

Once I start thinking about something, it often takes some time for me to move on to other topics. I have a tendency to dive relatively deeply into things that grab my attention. Which means that you get to read more about new business models for journalism. There’s a decent summary in this post, where I link to the list of 23 revenue generation mechanisms for journalism that has been put together on the New Business Models for News site. I’ve also discussed the news value network a fair bit previously, so today I would like to talk about the news value proposition.

In many ways, the issues facing newspapers now reflect the consequences of a profound misreading of the importance of the internet 10 years ago. The great Douglas Adams summed up some of the problems back in 1999:

Because the Internet is so new we still don’t really understand what it is. We mistake it for a type of publishing or broadcasting, because that’s what we’re used to. So people complain that there’s a lot of rubbish online, or that it’s dominated by Americans, or that you can’t necessarily trust what you read on the web. Imagine trying to apply any of those criticisms to what you hear on the telephone. Of course you can’t ‘trust’ what people tell you on the web anymore than you can ‘trust’ what people tell you on megaphones, postcards or in restaurants. Working out the social politics of who you can trust and why is, quite literally, what a very large part of our brain has evolved to do. For some batty reason we turn off this natural scepticism when we see things in any medium which require a lot of work or resources to work in, or in which we can’t easily answer back – like newspapers, television or granite. Hence ‘carved in stone.’ What should concern us is not that we can’t take what we read on the internet on trust – of course you can’t, it’s just people talking – but that we ever got into the dangerous habit of believing what we read in the newspapers or saw on the TV – a mistake that no one who has met an actual journalist would ever make. One of the most important things you learn from the internet is that there is no ‘them’ out there. It’s just an awful lot of ‘us’.

By treating the internet as a separate channel which is just like a paper but online (described in detail by John Temple), the papers missed a real opportunity to define how news on the internet would work. From a business model standpoint, this mistake is equivalent to thinking that the value proposition of journalism would be exactly the same on the internet as it is in a newspaper. In retrospect, we can see that this is not true, but Temple’s talk provides ample illustrating of how difficult it was to avoid that problem at the time.

So what should the value proposition of internet journalism look like? Dan Gillmore of the Guardian posted some relevant ideas last week. Gillmor lists 22 ways that news can be produced differently. Following these suggestions would create a completely different business model. Some of his key ideas include:

We would embrace the hyperlink in every possible way. Our website would include the most comprehensive possible listing of other media in our community, whether we were a community of geography or interest. We’d link to all relevant blogs, photo-streams, video channels, database services and other material we could find, and use our editorial judgement to highlight the ones we consider best for the members of the community. And we’d liberally link from our journalism to other work and source material relevant to what we’re discussing, recognising that we are not oracles but guides.

Beyond routinely pointing to competitors, we would make a special effort to cover and follow up on their most important work, instead of the common practice today of pretending it didn’t exist. Basic rule: the more we wish we’d done the journalism ourselves, the more prominent the exposure we’d give the other folks’ work. This would have at least two beneficial effects. First, we’d help persuade our community of an issue’s importance. Second, we’d help people understand the value of solid journalism, no matter who did it.

We’d work in every possible way to help our audience know who’s behind the words and actions. People and institutions frequently try to influence the rest of us in ways that hide their participation in the debate, and we’d do our best to reveal who’s spending money and pulling strings. When our competitors declined to reveal such things, or failed to ask obvious questions of their sources, we’d talk about their journalistic failures in our own coverage of the issues.

Those are just three of the 22 new rules. This is how Bruce Sterling describes Gillmor’s suggestions:

This sure doesn’t look much like traditional “news” to me. It looks like something different and quite weird, more like social media as a Fourth Estate.
A society that had “news organizations” that behaved in these ways would be profoundly transformed. I don’t mean it would become utopian or anything… but these ideas look like the behavioral standards of a deadly-earnest “network society,” a civilization we’ve never seen before anywhere.

He’s right – Gillmor’s ideas would transform news. And that’s exactly what needs to happen. This is the kind of thinking that needs to be going on right now. Many of these get at the idea of increasing customer engagement, which is one of the three things that Jeff Jarvis suggests are critical right now. Not all of those ideas will work, but the essence of innovating is to try things out to see what will. The other important point is that none of this involves creating a new product or service. Business model innovation is powerful because it creates new combinations of routines and resources. These are often difficult to replicate. Newspapers still have some unique and powerful resources at their disposal – now they need to figure out how to put them together in a way that will make money. That requires business model innovation.

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connect, connect, connect!

The way I see it, there are three primary ways to make money in business models that are built around information-based assets – aggregating, filtering and connecting. Previously, I have discussed aggregating and filtering in some detail – now it’s time to think about connecting. In a recent post on the Harvard Business Review Editors’ Blog, Jeff Dyer and Hal Gregersen discuss some research that they have done looking at how innovators think. They studies over 3,000 creative executives and summarise their findings by identifying five characteristics of innovative individuals:

The first skill is what we call “associating.” It’s a cognitive skill that allows creative people to make connections across seemingly unrelated questions, problems, or ideas. The second skill is questioning — an ability to ask “what if”, “why”, and “why not” questions that challenge the status quo and open up the bigger picture. The third is the ability to closely observe details, particularly the details of people’s behavior. Another skill is the ability to experiment — the people we studied are always trying on new experiences and exploring new worlds. And finally, they are really good at networking with smart people who have little in common with them, but from whom they can learn.

These are all basically connecting skills. The ability to link ideas together, often from disparate sources, is a central skill that is required in innovative enterprises. Hal Varian, of Cal Berkeley and Google, has this to say on the topic:

We’re in the middle of a period that I refer to as a period of “combinatorial innovation.” So if you look historically, you’ll find periods in history where there would be the availability of a different component parts that innovators could combine or recombine to create new inventions. In the 1800s, it was interchangeable parts. In 1920, it was electronics. In the 1970s, it was integrated circuits.

Now what we see is a period where you have Internet components, where you have software, protocols, languages, and capabilities to combine these component parts in ways that create totally new innovations. The great thing about the current period is that component parts are all bits. That means you never run out of them. You can reproduce them, you can duplicate them, you can spread them around the world, and you can have thousands and tens of thousands of innovators combining or recombining the same component parts to create new innovation. So there’s no shortage. There are no inventory delays. It’s a situation where the components are available for everyone, and so we get this tremendous burst of innovation that we’re seeing.

This is important for a couple of reasons. The first is that while I often discount the importance of idea generation relative to that of execution, ideas are still an important part of the innovation process. Consequently, organisations need to have strategies in place that enable them to make novel, interesting connections. A central part of this then is hiring people with skills in this area. Jeffery Phillips discusses the HBR post and he fears that many firms actually block or discourage these characteristics of innovators. He includes five questions that you might ask if you are trying to actively build teams of people with these skills. Here are a couple of them:

What’s your first reaction when someone offers up a new idea? If the response is to explore it further or build on it, ask for examples. Otherwise, next question.

Give an example from your personal or professional life of something new you’ve taken on. Could be learning a new language, learning a musical instrument. Need evidence of the attempt, and persistence. Quitting after a week or so isn’t good enough.

In summary, connecting is an essential skill in innovation. I think that it will benefit firms to think about connecting explicitly in their hiring practices and strategy development. If you are trying to be more innovative, it’s a good place to start.

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Elinor Ostrom’s Nobel prize

I’m absolutely delighted that Elinor Ostrom has been selected to receive this year’s Nobel in Economics (along with Oliver Williamson). I started reading her work regularly a couple of years ago now, and I am working to pattern my research stream on Innovation Systems after her work on the governance of the commons. Ostrom is primarily a field researcher – her books and papers are based on well-designed, thoroughly executed empirical work. This is one of the reasons that I think she is a terrific choice for the Nobel – it is great to see careful empirical work recognised.

Ostrom’s work has some important implications for innovation studies as well. I have primarily focused on her research regarding the collective management of common-property resources (CPRs). She does a great job of defining the conditions in which shared resources can be managed effectively. While Ostrom has primarily looked at physical resources, I believe that her ideas also can apply to managing shared intellectual resources as well – for example, in open innovation regimes.

Ostrom shows that effective institutions for the management of CPRs can arise spontaneously when certain conditions are met. These include communication between actors, repeated interactions between stakeholders, and some ability to sanction those who renege on agreements. From this, she builds a model of collective action based on the ideas that people have limited access to information and limited capacity to evaluate the information that they have, that governance institutions evolve slowly and often from the bottom up (although legislative initiatives also influence their development), and that information flow and transaction costs are essential drivers of institutional development.

Elinor Ostrom is a top-tier researcher and thinker. Her work has important applications for people thinking about innovation and sustainability, and I hope that this Nobel award will expose her thoughts to a wider audience.

Sean Safford has written a nice entry on her research from a sociological perspective, and Peter Boettke has done the same taking an Austrian economics angle. You can find a good summary interview with her here, Alex Tabbarok discusses her ideas with some good links, and David Romer has one of the best summaries of why her work is great that I’ve run across so far. Here is a short video of Ostrom explaining some of her key ideas:

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but that was MY idea!

I’m not sure if this is just a normal evolutionary step, or if maybe it is just peculiar to a few of the firms that I’ve spoken to, but it seems like often when an organisation decides that it needs to be more innovative, the first step is to try to become more ‘creative’. Consequently, the new innovation initiatives that are undertaken are often oriented entirely around the task of generating new ideas. Now, it’s true that I believe that innovation is an evolutionary process, and that part of that is the generation of variety. So new ideas are important. However, I also think that we frequently place far too much emphasis on the idea part of that process, when in fact selection and replication are the parts that are often more important. They are definitely harder to execute effectively – consequently, they probably deserve more management effort.

I ran across a thought-provoking piece by Kevin Kelly that reminded me of this topic today. Kelly contends that the appearance of new technologies is inevitable once the necessary supporting technologies are in place:

The procession of technological discoveries is inevitable. When the conditions are right — when the necessary web of supporting technology needed for every invention is established — then the next adjacent technological step will emerge as if on cue. If inventor X does not produce it, inventor Y will. The invention of the microphone, the laser, the transistor, the steam turbine, the waterwheel, and the discoveries of oxygen, DNA, and Boolean logic, were all inevitable in roughly the period they appeared. However the particular form of the microphone, its exact circuit, or the specific design of the laser, or the particular materials of the transistor, or the dimensions of the steam turbine, or the peculiar notation of the formula, or the specifics of any invention are not inevitable. Rather they will vary quite widely due to the personality of their finder, the resources at hand, the culture of society they are born into, the economics funding the discovery, and the influence of luck and chance.

One of the examples that he discusses in some detail is the discovery of the incandescent light bulb. Edison discovered it, right? Well, not really. Research by Robert Friedel and Paul Israel shows that at least 23 other people made working incandescent bulbs before Edison! Kelly’s conclusion is that the invention of the light bulb looks something like this:

In this view, the thing that Edison did was to both figure out a way to solve the technological problem while also figuring out a way to get his idea to spread. The innovation came in replication part of the process, not simply the variety-generation part.

Malcolm Gladwell reaches similar conclusions – that many new ideas are ‘in the air’, and that they emerge once the right supporting technologies are in place. He discusses numerous examples from the fields of both science and technology:

The statistician Stephen Stigler once wrote an elegant essay about the futility of the practice of eponymy in science—that is, the practice of naming a scientific discovery after its inventor. That’s another idea inappropriately borrowed from the cultural realm. As Stigler pointed out, “It can be found that Laplace employed Fourier Transforms in print before Fourier published on the topic, that Lagrange presented Laplace Transforms before Laplace began his scientific career, that Poisson published the Cauchy distribution in 1824, twenty-nine years before Cauchy touched on it in an incidental manner, and that Bienaymé stated and proved the Chebychev Inequality a decade before and in greater generality than Chebychev’s first work on the topic.” For that matter, the Pythagorean theorem was known before Pythagoras; Gaussian distributions were not discovered by Gauss. The examples were so legion that Stigler declared the existence of Stigler’s Law: “No scientific discovery is named after its original discoverer.” There are just too many people with an equal shot at those ideas floating out there in the ether. We think we’re pinning medals on heroes. In fact, we’re pinning tails on donkeys.

I think this raises an extremely important point. To me, it reinforces my belief that idea generation is probably the least important part of the process. If ideas are ‘in the air’, the rewards don’t go to whoever articulates them first – they go to whoever figures out how to get them to spread first. If your organisation is trying to be more innovative, creativity is important, but execution is critical. Focus on getting ideas to spread, rather than on simply having them in the first place.

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public service innovation

I was talking to one of my MBA students today about innovation the public sector. He was having problems figuring out how a government department could be innovative. How about this?

How about this?

You can innovate anywhere – but you have to want to do it. Even in situations where you face financial constraints, why not try ideas that are cheap (or free)? Innovation is executing ideas – and everyone has at least some scope to experiment. I think that everyone should make an effort to figure out how much experimental scope they have, and then start thinking about the ideas that they can try out within that space. It doesn’t matter if you’re in an organisation or a sector that isn’t innovative – there are opportunities for everyone. You just have to be willing to try things out.

(Hat tip to Dan Pink)

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innovation motivation

Here’s a great talk from Dan Pink at this year’s TED Conference:

The implications for people managing innovation are obvious, and to discuss these in too much detail here would diminish the impact of the talk. So all I’ll say is watch it, enjoy it, and then think about how you might act on it.

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business models & the three horizons

Here’s a very good talk from John Temple – the former editor of the Rocky Mountain News, discussing how the paper went out of business:

Lessons from the Rocky Mountain News – Presentation at the UC Berkeley Media Technology Summit at Googleplex in Silicon Valley from John Temple on Vimeo.

(there’s a transcript of the talk on Temple’s website too…)

There are several interesting points in this speech that relate to issues that we’ve been discussing here recently. The Rocky Mountain News had its first online venture in 1990 – so clearly their problems weren’t due to the fact that they ignored the internet, or couldn’t see its potential importance. Here’s why that first online version was shut down though:

The service was shut down after about 9 months, but not before scooping the paper on the start of the First Gulf War, reporting 12 hours before the paper landed on most doorsteps that the war had begun. The project was halted, I was told, because “we just couldn’t show that it was having any measurable impact on retention of print subscribers and it wasn’t producing revenue. Right from the start, new offerings were measured by what they did for the core product, not on their own merits. A big mistake.”

This is one of the reasons that three horizons thinking is useful. When you innovate using the three horizons framework, the first horizon involves implementing innovations that improve your current operations, horizon two innovations are those that extend your current competencies into new, related markets, and horizon three innovations are the ones that will change the nature of your industry. For a newspaper in 1990, developing an online product was definitely H2/H3 type innovation. One of the classic problems with H2 innovation in particular, however, is that firms tend to measure success in this arena using metrics that are more appropriate for H1 ideas – and that is exactly what the RMN did in this example. It is essential to find measures of success for H2 ideas that are more appropriate for the riskier, more speculative markets that you are moving into.

All of the further web forays by the RMN suffered problems similar to this one:

The message to the newsroom at that time regarding the Web site: “Do not let it interfere with the print edition.” And as managing editor, I made sure that we kept our focus on the print competition.

We knew the Web was a place we needed to be. But we didn’t have a clear strategy. Mission. Or objective. It was a “complement to the paper,” as we said in our initial “About us” page.

Which brings me to Lesson 3: You have to have a strategy and you have to be committed to pursuing it. We perceived the Web site as a newspaper online, as a complement to the paper, not as its own thing. That’s not a strategy.

This shows how firms get trapped in a dominant logic. Dominant logic is the idea that once a firm develops a successful business model, if they are not careful they end up simply replicating this model across all future endeavours. This is dangerous when you are dealing with H2 and H3 innovations. One of Temple’s prescriptions is very useful in this respect:

Ask yourself: Without R&D, how are local news companies going to get out on the edge and develop new offerings? Now that newspaper companies are filling the bankruptcy courts, they’re scrambling to find ways to survive on the Web. But their efforts seem mostly about making money off their current offerings. You don’t see them developing Yelp, YouTube, Twitter, Facebook, etc. I think they still could develop successful new services. But it would require something they haven’t historically done, research and development. The Rocky looked to other newspapers and news sites to assess how it was doing. We should have been looking more closely at pure-play Web operations.

He is recommending that newspapers should look for business models that do not simply map their current operations onto the internet (dominant logic thinking), but rather they should be developing completely new services. This is exactly correct. I hope that he gets a chance to apply these lessons in a new context, because I believe that his thinking is heading in the right direction.

(Thanks to Mark Coddington for the pointer to this talk)

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