All posts by Richard Gayle

It’s the people, not the network

network by Arenamontanus
Too much networking?:
[Via Cosmic Log]

Open-source communities may suffer from “an overabundance of connections,”
an information policy researcher suggests in the journal Science.

Are geeks guilty of groupthink? A network expert argues that less social networking would produce more radical innovation on the Internet.

[More]

This is a provocative statement, that some communities are too connected, thus reducing diversity and the ability to innovate. I would make the statement that the level of connectedness is more reflective of the type of people involved and indicates a community that is not properly constructed to permit innovations to rapidly traverse the community.

That is, the problem stems from the type of people involved, not the network itself.

I’ve written a bit about how communities process innovations, how they propagate and how they are adopted. Each community has its innovators, its early adopters, the early and late middle and its laggards. In most communities, the relative numbers of each of these 5 groups follows a bell curve. Roughly 16% are early adopters and innovators, 16% are laggards and the majority is in the middle.

Diffusionofinnovation

One of the main differences seen between these 5 groups comes from the number and types of social connections they make. The early and late majorities mainly only connect with themselves and others in the community. These are the greatest sources of groupthink. They are the incremental thinkers, those that get together and talk about how to make small changes. They listen to each other and provide mutual support. They are often skeptical of new things but incremental works well for them.

The key measure of the majority is that they will usually only adopt a new innovation when told to do so by someone, from the community, that they trust and respect. They do not like to be the first one in a community to adopt an innovation. They are comfortable with what currently works.

The innovator group, on the other hand, have a large number of connections outside the community. They bring in the odd ideas, the weird bits of information that can generate new ideas and innovations.

They are the ones who say “Hey, my Uncle Bob heard about someone who fixed the a similar problem, only he used this really weird algorithm.” Innovators love to solve problems and search the world for data that can help them learn.

Now, innovators are generally not held in very high esteem by the community. They are disruptive and as often have ideas that are useless as they do ones that are useful. They love new stuff because it is new, not always because it is useful. They are seldom seen as community leaders and often have greater freedom, either financial or situational, that allows them to pursue the novelties they love. Because of their extensive outside connections, if their work is not supported by the community, they can often leave to find those communities that will support them.

A lack of innovators means that fresh, creative ideas are not easily brought into the community.

Early adopters are the important filters here. They often have enough outside contacts to be able to understand where the innovator is coming from. They are very good at figuring out which of the many ideas that the innovator tosses out are actually useful to the group. They’re the interface between the community and innovators.

Early adopters are usually community leaders. They are the ones that promulgate the great ideas that the innovators come up with to the rest of the community. By being right, by helping the community, they gain a lot of power and prestige.

So, the majority looks to the early adopters to push innovation and change, not the innovators. The latter are just too disruptive to the clean, stable processes preferred by the majority in the middle.

A lack of early adopters means that innovators are not easily supported by the community and that useful new ideas have a much harder time getting the notice of the majority.

There are not enough filters to properly present useful ideas to the community. Innovators simply appear disruptive. Useful new ideas do not traverse the community because there are not enough trusted people presenting creative ideas.

I would suggest that the problem is not the vast number of connections amongst the groups, that the problem is not the internet. It is that these online groups, may have coalesced in ways that diminish the power of this 5 group adoption curve. In most real life communities, at least the successful ones, the innovators and early adopters number about 16%. About 65% make up the early and late middle.

Perhaps these online communities have very different makeups. Perhaps the percentage of the middle is much larger, since it is now so easy to connect, and the middle feels much more comfortable connecting with those that already think like them.

In describing these networks, the author makes the point that they mainly connect to each other. This sounds exactly like a group of early and late majority. If a community is made up of mainly people like this, say 80%, then the lack of enough early adopters could have a strong effect on the adoption of innovation.

The early adopters are the gatekeepers for novel and useful ideas in the community. If the number of early adopters is lower than normal, the number of new ideas that can traverse the community is greatly decreased. Consequently, there will be less support for the innovators, who may very well go find other communities that they can innovate with.

The ease with which the Internet allows connections to be made means that innovators will have many more routes available to them. In real life, they can not easily move beyond the community they inhabit. On the Internet, it is easy. So they may leave to greener pastures.

This may also pull along some early adopters, who, after all, like to be the ones who act as filters and to gain the community respect that comes from helping to disperse new ideas. This could result in a positive feedback loop that greatly decreases the numbers of innovators and early adopters, leaving a community of mainly the middle. This would seem to fit the description of the article.

It is the makeup of the humans involved in the network, not the network itself, that is the problem.


I would suggest that the key bottleneck to innovation in Open Source projects is the lack of a sufficiently high number of early adopters.

This would explain the lack of outside connections, as early adopters and innovators have the majority of these. Without early adopters to funnel their ideas, innovators will leave for greener pastures.

On the flip side, if there were enough early adopters, their ability to pull in innovators who have ideas that would help the community, the key aspect of an early adopter, would allow the flow of innovative ideas into the community.

So how to increase the number of early adopters, which will then attract innovators and permit novel ideas to traverse the community? Well, one could advertise on Craig’s list, I suppose. Far easier would be to find a way to take the early adopter’s in the community already and find a way to increase their power, to artificially raise their numbers.

Many of the ideas suggested in the article, such as skunk work projects, are really just ways to isolate a group from the community. This would tend to increase the relative numbers of innovators and early adopters. They will be drawn to new things like ants to honey.

These are ways to prime the pump, to create a situation in the community where the early adopters have a much larger impact with higher representation than they do in the general community.

But this is somewhat indirect. Why not utilize the metrics available in the network to identify who falls into each group? Some companies are already doing this, because the way an early adopter appears in a network is different than a late majority.

Making a greater effort to identify and accumulate early adopters in the community by using the Internet itself would be very informative. Increasing the impact of early adopters would attract and support more innovators, providing more ideas to the community. If the level of early adopters is less than expected, say under 10% then efforts must be made to increase this percentage, either actually or relatively.

To bring in more early adopters would require a campaign of some sort to attract people with the right connections. Initially, this may not be easy. Better to artificially increase the relative numbers of early adopters.

So, take the early adopters that are already present and create a ‘new’ community, an artificial one, where their numbers would be much higher. Put them together, along with some innovators and let them go at it.

Again, this is kind of what is suggested in the article, but with much less discussion about why it might work. In the real world, early adopters and innovators are usually kept separate from the main group by putting them in places like Research. A difficulty with online networks is that there is not often a defined process to isolate these people and thus increasing their numbers to the point where their talents are actually useful.

In the large, efficient networks that are possible using Internet technology, the early adopters and innovators may get swamped out, becoming too small a percentage to actually affect change.

The solution is to find ways to identify and isolate them from the community but in ways that use their important attributes to help the group.

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Networks in academia

The Networked Path to Breakthroughs:
[Via Dot Earth]

An expert on the history of technological leaps says a vital step is for scientists and engineers to build networks outside of their fields.

[More]

This a nice interview that explains how the current methods of providing grants for academic researchers help to isolate scientists from social networks that may be critical for moving research out into society.

The ability to innovate requires social networks but there are few connections between the networks of academic scientists and the people who are needed to transfer technology to wider communities. Finding mechanisms to overcome this bottleneck can have huge effects on the rates that innovations traverse different communities.

As more and more scientific endeavors require collaboration between multidisciplinary groups the insular nature of research will begin to be breeched. But, the bottlenecks and consricted connections to outside networks will also have to be changed, if we are to truly solve the difficult problems facing us.

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An interesting view of IP issues

happy by Pink Sherbet Photography
Potential Confusion Avoided – rPath Video:
[Via Common Craft – Explanations In Plain English –]

Yesterday, we posted about a video by a company called rPath with the title “Cloud Computing in Plain English.” Read about it here.

The blog post came as a result of our unsuccessful efforts over six months to illustrate to rPath that their video, because of the combination of the “in Plain English” title and use of paper-cut outs on a whiteboard, was a source of confusion for Common Craft customers. Because rPath insisted on using legal means to communicate their stance, we chose to take a different route that didn’t involve lawyers.  We simply asked our fans to help us reduce confusion.

Over the course of the last 24 hours, we’ve learned a lot. First, let me say that we couldn’t have imagined the level of your response. We are very lucky to have people around us who feel passionately about helping us protect our brand. Within a couple of hours of the blog post, the message to rPath was clear and as you’ll see below, we have reached a resolution.  We thank you.

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So here we have an established organization with a very easily identified image having to deal with a new company using the same approach, possibly causing confusion amongst clients. This is what trademark is supposed to deal with. But in some cases, the look and feel of the approach is also important. In the old days this might have taken a lot of lawyers and money to resolve.

Instead of having to deal with lawyers and pay them lots of money, the community responded to a request for help. It was able to deal with an organization who threatened the health of the community.

Because of the openness and transparency of the Internet, the community took action that allowed everyone else to see what was going on. It then resulted in an accommodation that works for everyone.

All without paying lawyers. While this approach might not work everywhere or every time, it is a nice demonstration of how a connected community can deal with some IP issues.

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Facilitated change

change by seanmcgrath
Winds Of Change:
[Via Chuck’s Blog]

I really enjoy meeting customers. However, not every customer interaction is sunshine and lollipops.

Sometimes, the interactions can be tense at the beginning, but result in an extremely productive discussion.

I had one of those today, and — as I thought about it — I realized I’m starting to see this particular situation more often. It’s a harbinger of things to come.

It Started Out Rough

During a typical briefing, I’m usually asked to lead off the big technology strategy discussion. It’s usually 45 minutes of private cloud / VCE material, with plenty of time for discussion and debate.

Most of the time, it goes very well. Today, it didn’t.

About 3 minutes after I got started, I could tell by the body language that something was seriously wrong. After 5 minutes, the customer intervened.

They were polite, but firm. They didn’t want to hear about technology, or strategy, or anything like that.

They wanted to know how they were going to transform their organization.

Thus starts a nice post about change in an organization, how it happens and the process to accomplish it. More and more companies do not want to know what software to use. They want to know how to leverage their social network for change, making it easier to innovate.

They recognize that for things to work, the culture must change. But cultures are hard to change. So having an understanding of how people adopt a new idea and how it permeates an organization is critical for making the change successful.

I’ve mentioned the 5 steps people go through as they adopt an innovation. The speed that individuals move through these 5 steps places them into one of 5 groups.

And all of this works inside a human social network that must be used in order to accomplish change.

We started by sharing that communications — to all your stakeholders — is a do-or-die mission when contemplating significant organizational change. So much so that we’ve seen IT organizations appoint a communications professional (aka the marketing type) to engage and persuade people across a variety of functions.

I’d consider that a “best practice”, with one caveat. There are a lot of marketing people who know how to do nice newsletters and websites, but really don’t have much of a voice. Find a marketing person with a strong voice, and isn’t afraid of using it.

Yes, I know it sounds ludicrous that an IT organization would hire a marketing professional (don’t we have enough of those running around?) but they’d already considered this proposition on their own — we just confirmed their suspicions.

And, it logically follows that if you’re going to accelerate organizational change, you’re going to be doing a lot of communicating, and that can be a specialized skill.

First you have to engage individuals. Awareness and interest are the first two steps for anyone to pass through as they adopt an change in routine. Effective communication – marketing – is critical. Because the people you want to engage first, the innovators and early adopters, will also be the ones looking most to listen, if the message is presented properly. They are often the most aware and the most interested.

Then the next steps, evaluation and trial can be examined.

There seems to be two generic approaches to getting people to use new infrastructure and processes.

One is the classic “let’s move everything to the new world” approach. Big lists, complex plans, daunting obstacles, unknown risks — this stuff is very hard on the brain. You set yourself up for people to resist.

There are some situations where there is no other viable option, but — in many cases — there’s an incremental approach that has more to do with social engineering than project management. And I have personal experience that it works very well indeed.

Consider building the shiny new thing on a small scale — maybe a small, internal private cloud. Or, perhaps, a new self-service operational process. Anything at all that represents a significant departure from traditional approaches — it really doesn’t matter.

Put some cool people on it. Give it a nice internal brand. Use terms like “pilot” or “proof of concept” to keep people from jumping off cliffs. Communicate widely what you’re doing and why. Make it look like fun, rather than work.

When it’s ready, invite people to try it out. Enlist internal champions to provide coaching and feedback. Ask various executives to give the project a mention in their forums.

If these people like what they see, they’ll tell others, who will be curious as well. Communicate frequently, openly and transparently to anyone who’ll listen or read.

The shiny new thing will attract the innovators, who are always attracted by novelty. And the cool ones are simply another way of describing early adopters. Early adopters are critical for moving an innovation through a community because they are often the important leaders that will be listened to.

The majority of people will only adopt something new when advised to by someone they know and trust in the community. It turns out that early adopters fit this position because they have often had ideas that made everyone’s life easier. They have been successful harnringers of change before to the community. So they are listened to.

The sooner early adopters are on board, the faster things will change as they tell others.

There are many progressive IT organizations that embrace change. And there are more than a few who tend to resist any change whatsoever. This was a big concern for this particular customer.

It’s one thing to convince the business to look at IT differently. It’s another thing entirely to convince IT to look at IT differently. This somewhat paradoxical behavior is not unique to IT people: I’ve seen it in HR, legal, manufacturing, engineering, sales, etc., e.g. everyone has to change but me!

There’s a variety of techniques I’ve seen IT leaders use to combat this problem — rooting out the ringleaders, constant and patient communication, incentive and recognition programs — even bringing a small crew of managed services contractors to show how things *could* be done.

Frankly speaking, there’s nothing specific to IT in this discussion — the same techniques work for any organizational leader to bring the function along to a new world view. The simple approach is to acknowledge it’s a problem, and have a plan to deal with it.

There will always be laggards, those who change very slowly. By keeping communications open and transparent, some of these can be moved over. But there should be recognition that 100% satisfaction is unlikely.

So, find the innovators and early adopters. Move them to your side and help them change the system.

Some of the most impressive IT change agents I’ve met are networking experts.

If your mind immediately went to protocol stacks, you missed the point — these people are social animals. They build relationships across the organization in a variety of places, and they build relationships outside their company, hopefully with people who are doing much the same thing as they are doing.

The best change artists are connected to a very highly linked social network. These include the early adopters who not only have connections inside the community but many outside as well. They are looking for changes that will make their life easier. They are the easiest to get to adopt change, as long as the change is meaningful to their life and work.

Recognizing where people fall along the innovation curve, how rapidly they move through the 5 steps, is critical for making change happen. Find the innovators and early adopters. Give them the tools to help market the change, thus making the change happen from the demand of the community rather than as a mandate from above.

Facilitated change can permit a community to adopt innovations faster and become more productive while being less disrupted.

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The failure is the process

stairs by seier+seier+seier
Lessons Learned — Why the Failure of Systems Thinking Should Inform the Future of Design Thinking:
[Via Manage by Designing]

“You never learn by doing something right ‘cause you already know how to do it. You only learn from making mistakes and correcting them.”
Russell Ackoff
Design and “design thinking” is gaining recognition as an important integrative concept in management practice and education. But it will fail to have a lasting impact, unless we learn from the mistakes of earlier, related ideas. For instance, “system thinking”, which shares many of the conceptual foundations of “design thinking”, promised to be a powerful guide to management practice, but it has never achieved the success its proponents hoped for. If systems thinking had been successful in gaining a foothold in management education over the last half of the 20th century, there would be no manage by designing movement, or calls for integrative or design thinking.

[More]

This is a very interesting discussion. It seems to me the problem is not with systems thinking but with the attempt to create a defined process for it. Human nature includes trying to grasp innovation by naming it. In many cases, old fashioned hierarchical approaches are being use to try and fold systems thinking into them.

But hierarchy is really orthogonal to systems thinking. Systems approaches are bottom up. The group defines it. Processes are top down. The leader/teacher defines it. I am not surprised that people who go to meetings to be taught by leaders what systems thinking is and the process to implement it do not get it at all.

I recently spent two days at a workshop with around a dozen architects and managers. The facilitator was one of Russ Ackoff’s former colleagues at the Wharton School. It is a reflection of what has become of systems thinking that it took most of the two days for the facilitator to explicate all that he thought we needed to know before we could begin either critiquing or applying the ideas In addition to obvious material on the nature of systems, we learned about chaos theory, living systems theory, Santiago theories, the four foundations of systems methodology (holistic thinking, operational thinking, interactive design, and socio-cultural models), five systems principles (openness, emergent properties, multi-dimensionality, counter-intuitiveness, and purposefulness), the five interactive dimensions of social systems (wealth, beauty, power, value and knowledge) and the related five dimensions of an organization (throughput processes, membership, decision, conflict management, and measurement), the elements of a throughput system (time, cost flexibility, quality, measurement, diagnostic, improvement and redesign), the nature of holistic thinking and iteration, the laws of complexity, loops and feedback, and more.

All of this was presented as foundational knowledge that was necessary before we could get to what it was that brought most of us (or at least me) to this particular workshop — designing for human interaction. In addition to the number of frameworks and ideas, and the density of the interconnections among them, there was a strong normative quality to the material and its presentation. “If one hopes to make any progress at all,” we were told, “you need to both understand and accept these related ideas.”

Systems approaches are not a series of bullet points. They are approaches for using human social networks to solve complex problems. It may not be useful for accountants but it can be critical for researchers.

It is not a set of bullet points. People do not simply change to a new approach because someone else says to or has a bunch of fancy names. I’ve mentioned what is necessary. The post also recognizes this.

These requirements are at odds with how we tend to acquire new knowledge. Rather than accepting a new idea because we must, we like to try it out. A new skill is most likely to interest us if it contributes to both short-term and long-term learning objectives. And the easier it is to try out parts of a theory, the more likely we are to jump in.


Systems thinking works when people learn and adopt an approach, not when they are told the steps involved. And they have to recognize that it has short term benefits.

Use a bottom up approach. Find the early adopters and get them on board. Work the adoption curve and you will have much more success. That should be the lessoned learned.

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Communicating science

microphone by hiddedevries
A Climate (Communication) Crisis?:
[Via Dot Earth]

If experts change how they describe global warming, will people wake up?

[More]


Interesting points but trying to be more emotional and dramatic is not very effective when facts are trying to be exchanged. There has been a lot of research done that exposes the steps individuals and communities progress through as they adopt new idea and change their viewpoints. It might be better to be aware of this than to try framing exercises.

The five steps are awareness, interest, evaluation, trial and adoption. Different people move through these steps at different rate.This results in a differentiation of a population into different groups: innovators, early adopters, early majority,

Scientists are generally on the innovator/early adopter spectrum of things, especially compared to the entire population, which, by definition, is mostly the 68% in the middle.

Innovators and early adopters take their cues from outside influences and their own experiences. They are open to ideas that come from outside the community and move much faster through the five steps than others. They are not as dependent on community influences as the majority are.

So scientists are influenced by people who are outside their direct social network. We are trained to do that in order to examine data, converting it into useful knowledge that gains us understanding of the natural world. We have a lot of training that helps us have the sagacity to determine the usefulness of a new idea. even if the idea comes from someone ‘outside.’

But, for the majority of people in the middle, outside influences are suspect. They usually will only adopt an innovation or change their opinion when a respected member of their own community, of their social network, tells them to. They are generally influenced only by those close connections in their social network.

If the scientist is viewed as the other, as outside the group, many people will not listen to them. They seldom are influenced by anyone outside the group. This is why being liked can be such a big plus when trying to change someone’s mind.

When you are liked, you are more easily admitted to the group and will be listened to. Politicians know this. That is why likability is so important for them. Unlikeable politicians won’t get elected.

But few scientists are influential in the scientific community because they are liked. They are influential because they are good at making data into knowledge. But this is not something the majority will ever use to shape their opinions on the reliability of an outside researcher.

Thus, scientists can and do listen to others but the majority will only change when they and their connections are directly effected. This is probably why knowing someone who is gay has a much greater influence on someone’s opinion that anything GLBT groups can say. Becoming trusted by the group is more important than presenting facts, even if the facts are correct.

Most scientists think that the data should speak for itself. That is because they are really good at the evaluation step. They use their tacit and explicit information to make a decision and move quickly through the last two steps. IIn fact, scientists have to be pretty good at moving through all five steps rapidly or they will not be a very successful researcher.

Most everyone else is stuck at the interest stage. They await the opinions of influential members of their community to move beyond evaluation.

So to engage and educate, scientists must move out into the community. They must be seen as unbiased members who provide information for others to deal with. This can be quite difficult for many scientists. Part of this is because science attracts people with very health egos. You have to be very strong because in science, you fail a lot of the time. To keep on doing something, knowing it is unlikely to succeed, oftenrequires a monster ego.

So it is often hard for a scientist, who has made it through all 5 steps, to accept that someone else will not just listen to them, just trust them. ‘We are a scientist, after all! We know more about it. Why are you unable to understand the simplest things?’

All things that are not going to make the scientist liked in the community.

The majority of people only see someone from outside dealing them to do something.The first thing they often think is “What is he trying to sell? What is his angle?”

People like science because they enjoy understanding the world around them. But scientists do not have many useful organizations to help them engage with the public. They have very little training in how to deal with people that do not react to the world like they do. They often have to do it themselves. Perhaps if there was a more formal process to bring scientists into the community, we could get the majority convinced quicker.

The majority will move eventually and when they do, things can move rapidly. Facilitating this would be a worthwhile endeavor.

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Disengagement is necessary for innovation adoption

Eartly Adoption: Not Just For Tech?:
[Via Amy Sample Ward’s Version of NPTech]


There is a great post from Louis Gray that I’ve been thinking about lately with an interesting view of 5 Major Stages of early adopter behavior.
The Five Stages of Early Adopter Behavior include:
Discovery, QA and Spreading the Word
Promotion and Collaboration
Mainstream Use and Engagement
Sense of Entitlement, Nitpicking and Reduced Use
Migration to Something New, Call to Move Followers

You can read the full descriptions of the 5 Stages here.
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I’ve discussed early adopter behavior before. The first few steps compress the normal 5 step process everyone goes through in adopting a new innovation – awareness, interest, evaluation, trial and adoption. Entitlement and migration describe something else – some of the early stages of adopting a new innovation require the rejection of the previous one.

This is also behavior seen by innovators. Innovators love something new and even after adopting a new innovation are often looking for the next best thing. But almost anyone who adopts a new innovation must break away from the old one.

It may well be a different process for the innovators/early adopters than for the rest of the group, the early and late majorities. Most people are informed about what choices to make by early adopters/innovators. These people do not generally discover new innovations and will adopt what others tell them to. They rely on key influential members of the community to inform them about new innovations.

Innovators and early adopters, on the other hand, rely on outside influences and their own personal knowledge to inform themselves about adopting an innovation. They do not simply change because someone told them to. So they may have more personally invested in an innovation and may have to do some emotional disengagement from a previous innovation in order to begin the process of adopting a new one. They essentially have to go through a re-evaluation process in order to move on.

Finding faults with the old makes it easier to move on to the joys of the new. I would expect that the initial stages of adopting, such as awareness, overlap with the latter stages of disengagement. I would also expect that innovators are more likely to cobble together problems with the old in order to justify moving on to the new, moving through the re-evaluation period as fast as they move through the other 5.

For early adopters, evaluation is their hallmark, so I would expect re-evaluation would also be important to them. They would spend some time on this ‘process, more carefully weighing the benefits of a new innovation with the disadvantages of the old.

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Systemic Leadership?

The Search For Leadership:
[Via Ackoff Center Weblog]

Dear Colleague, Even the most sophisticated Leadership Development programs in even the most forward-thinking organizations can seem like little more than glorified fish polishing. Systems Thinking (and our own experience) tell us that individual managers and leaders are like fish…

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Systemic leadership can not accomplish much if the water is foul. That is, if the group to be led and the social environment are not conducive to effective leadership, none will occur. The post mentioned these points:

* a leader is only as good as the system he or she operates in

* leadership isn’t just about leaders or people, it’s about the whole organizations (its values, culture, policies, shadow-side, strategies, systems, etc.)

* ‘leader development’ [what Bill Tate calls ‘polishing fish before putting them back into the murky water of the fish tank’] is a fatally flawed solution

* a more distributed leadership culture is vital if organizations are to tap into front-line experience and generate energy for change

Unfortunately, the linked website appears to exist in order to sell the book. There are a few interesting links, including this one that describes systemic leadership. It does contain this interesting paragraph:

Displaying leadership – including moral leadership – isn’t easy in a quagmire. If we want to improve people’s behaviour in an organisation we need to examine the system and look at what people are surrounded with. Leaders often create their own mess, or fail to notice that entropy is doing it for them. And they often have to clean up the mess themselves. But most leaders are part of the system; they do not have the luxury of watching comfortably from the outside.


The organization has to permit effective leadership. Of course, in my experience it is easier to find an ethical organization to work with than to try and change an unethical one. I wonder if William Tate has a solution?

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Innovation in a time of abundance

hourglass
by John-Morgan
The Role Of Abundance In Innovation:
[Via Techdirt]

A few weeks back, Dennis wrote about a recent Malcolm Gladwell article in the New Yorker about innovation, but I was just shown another article from the same issue, by Adam Gropnik, which may be even more interesting. Gopnik points to evidence challenging the idea that “necessity is the mother of invention,” by noting that more innovation seems to occur in times of abundance, rather than times of hardship. The idea is that in times of hardship you’re just focused on getting through the day. You don’t have time to experiment and try to improve things — you make do with what you have. It’s in times of plenty that people finally have time to mess around and experiment, invent and then innovate.

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It takes free time to be innovative. If one is under a lot of time pressure, one’s focus is not on experimenting with new ways to do things. The focus is on completing the job. There is no time to waste on experimenting or dealing with the many failures that true innovation presents before success.

That is why the most innovative organizations permit a set amount of time to be spent on anything.

When I worked at Immunex, you could devote a set percentage of your time to a project of your own choosing. You did not even have to tell your boss what it was. You only had to justify it when you had spent a reasonable amount of time working on it. This helped foster a sense that you had spare time, even if you did not use it.

Now, often really innovative things come into being when there are constraints. That is, money or resources are limited so a new approach has to be used. But in these cases, time is not the real limiting step.

If you want to have a innovative organization, then there must be time allowed for innovation development, meaning a lot of things will fail. That means the time pressures must be abated somewhat. One way to help is to use online tools to enhance the workflow, permitting time to be rescued from inefficient processes.

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