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My Notes on Dion Hinchcliffe Enterprise 2.0 Conference Workshop – Part Two

by Bill Ives

This is part two of Dion Hinchcliffe’s workshop on implementing enterprise 2.0 at the Boston enterprise 2.0 conference. Dion brought up a guest speaker David Stephenson who he said is the “world’s leader in democratizing data.” This was the tile of his discussion, the concept of democratizing data: the data-centric organization. This makes it automatically available to those who need it based on roles and responsibilities while maximizing security. He said that data democratization can actually increase security. I agree here.

Having data at the heart of all actions is an attitudinal shift. You need to provide metadata so you can make sense of it and RSS feeds to reach user. You need to think of every worker as a knowledge worker. Giving more authority to people who fill potholes by providing them with all the data on their daily assignments increases morale and productivity as they will know the best way to complete the tasks. David said that the Netherlands government saves over 25% of reporting costs by standardizing and making data more transparent.

Dion came back and picked up on this theme. Government is picking up on the data democratization theme with the new administration. For example, wikis are being used for dealing with crisis issues for more transparency than email.

Dion reviewed enterprise 2.0 platforms; wikis, blogs, microblogging, mashups, online communities, social bookmarking, social networking and them went over the vendor space with examples of each category. There is currently no one stop shop for all tool categories but there are suites. Online communities include: Joomla, Drupal, Zikula, PHP/Nuke SharePoint, Lithium, Telligent, DotNetNuke, KickApps, Jive. Dion said these are the top ones based on usage. SharePoint is already available in many organizations that want to start enterprise 2.0. It has many necessary capabilities. It can also be adapted to implement many of the social emergent tools but usually requires some work.

Dion put up an enterprise 2.0 ecosystem chart. You have traditional enterprise systems and enterprise 2.0 systems. These can be connected through mashups and data can be found through federated search. He went on to cover some other platforms being used: Igloo, Facebook private groups (it is open source). Serena software uses Facebook (see my post – Serena has Adopted Facebook as their Intranet).

Mashups are being used and Serena, Jackbe, IBM (Lotus Mashups), Microsoft (Popfly) have tools. One creative example, Chicago did a mashup of crime data with Google Maps that is updated real time and can be sorted by time of day.

Crowdsourcing is another application. One gold company put their survey data out and invited anyone to tell them where the gold was. They had great success and paid a large sum in bounties. This can be done internally or externally. (see Innovating Through Market Games with Spigit.)

Dion then switched to best practices. Successful adoption strategies include: gain and enlist top down support, overcome turf issues in advance, align applications to key business processes, align enterprise 2.0 strategy to business strategy, develop a clear simple business case, provide strong leadership, design measure aligned to business processes. I could not agree more. These were also all the key adoption strategies for knowledge management in the early 90s. This does not take away from them. I think it just reinforces them. Dion said these factors came from actual case studies.

He added more adoption strategies: listen to users, simply the access and production of knowledge, develop a clear communication plan to promote the effort, involve all key stakeholers (but go slow on this), integrate all forms of communication, develop a clear motivation plan. Again these are all best practices from knowledge management in the early 90 but I see this as a further validation. I found that legal often got overlooked and this can come back to bite you so do not leave them out.

Dion went on to discuss the need to aggregate social data and not have silos. This is critical. Enterprise 2.0 suites are adding this. Also, social analytics is being implemented to take advantage of the transparency and make sense of it. He gave an example of Facebooks’ FriendWheel as a consumer version. In line with this you need to cultivate weak ties, as well as strong ties, and enterprise 2.0 enables this. These weak ties are often the source of new insights vs. the people you talk to all the time.

Reputation systems are another way to make use of the social data and rather input. Sezwho is one tool that works across platforms. Expertise location is an overlapping capability.

Dion offered a breakdown of effort: tools, 15%, integration, 25%, community management 25%, IT support, 15% change management 20%. These make intuitive sense. Do not short change the people issues. The quality of the community management team is a critical success factor. Community Manager is one of the roles in the enterprise.

You need to allow time for people to learn the tools and methods. Social tools are the new productivity tools like word processing and spreadsheets before so everyone needs to learn how to use them. As Dion said earlier, the more people use the tools the greater the value. There are three levels of community in the enterprise and you need to deal with each one: team level, community level, and entire network.

I found this workshop to be a useful overview of enterprise 2.0 adoption issues.

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Dion Hinchcliffe Enterprise 2.0 Conference Workshop – Part One

by Bill Ives

Dion Hinchcliffe is leading an opening workshop on Implementing Enterprise 2.0 at the Boston Enterprise 2.0 conference. I have long been an admirer of his work and was pleased to see this session. The subtitle is: Exploring the Tools and Techniques of Emergent Change.  Dion said the concept of emergent and social is critical. I like the fact that many stories will be offered as I agree that they offer more than “factual” information. I am doing this real time so apologies for any typos. 

Dion said that many companies do not like the word, social. so he uses enterprise 2.0. Again, I agree here. I wish the Wikipedia did. Three years ago only a few in his session had access to blogs at work. Last year it was half. This year it was almost everyone. Enterprise 2.0 is more about social tools for collaboration than in the consumer space. Most organization have these tools but it is every uneven.

 Consumer and enterprise is blurring. Employees now put contact information in social tools outside the enterprise as something they own and can take with them. People are willing to pay for these tools themselves but most are free.  We had to move to a much bigger room as there were a lot of people here. I could have predicted that. I look around and still see people standing.

In 2004 Web 2.0 tools began to be used at work. This is when I learned about them and got excited about their impact on knowledge management. Middle of last year global surveys in developed nations found about a third of all companies had the enterprise tools. Now it is a bit over half.  Dion mentioned that knowledge management was an early use. Now Twitter is on the rise. It is social messaging as opposed to instant messaging. There is little interest in IM now as it does not build value because it operates in silos. I never liked IM and would sometimes copy and paste IM messages in Word before they went away. Now Twitter needs to get its archiving working better but at least there is some.

There are hundreds of enterprise 2.0 pilot projects underway. Mid to small businesses are most successful because they are nimble. Big software players are getting into it. Google Wave is designed to serve in this space. There are dozens of startups. Traditional tools like Documentum are adding enterprise 2.0 features. I did a review of this in AppGap (see EMC Documentum Makes a Series of Moves into Enterprise 2.0).

The big money principle of Enterprise 2.0 is harnessing collective intelligence. Tools have been poor for this before. He has seen 400 page Word docs with best practices. Tim O’Reilly definition, “Network applications that explicitly leverage network effects.” This is the social side of information. It is not just making connections but making use of it. Network effect occurs when the more people who use it, the better it is. YouTube is an example.  Gave example of enterprise use of taking a free wiki tool inside informally at AOL. It spread virally until the entire organization uses it instead of traditional document management system.  The wiki was optimizes for network effect. The traditional document management system was not optimized for this and lost out.

Andy McAffee put forth three pillars of enterprise 2.0: emergent, freeform, social. They are primarily to address collaboration challenge. Capture institutional knowledge and make it discoverable. It is globally visible, persistent collaboration that has very low barrier to entry. Like open source, anyone can improve knowledge.  Workers are put into the central place for contribution. Tools adapt to environment rather than the reverse. In studies of early adopters social tools get much greater use for knowledge management than traditional tools. There is also less duplication of effort, increased transparency, and higher levels of productivity.

Dion used stales acronym – search, links, authorship, tags, extensions, signals – as critical components.  Tags provide emergent structure and standard use of terms. I found that the users of taxonomy are the best at creating it. Now we have the way for this to happen. These tools will interrupt workflow less. Dion said this is a critical point and I agree. The other is that the content can be  leveraged as the content is persistent and discoverable.  I see this as knowledge management as a byproduct of work and not a separate activity. This is what got me excited about Web 2.0 for business in 2004. Knowledge work is the fasting growing jobs and part of jobs. Enterprise 2.0 addresses this so their is great opportunity to provide software support where it has gone well before. 

Now we have a break so I will post this first part. More later if the wifi holds. 

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Social Business Design and the Real Time Enterprise

by Jevon MacDonald

Social Business Design is a new concept that my colleagues and I have been talking about at our new company.

Earlier today I posted an quick intro to Social Business Design on my own blog which explains a bit about each of the four archetypes of a social business.

I thought it would be worthwhile to dive in a bit deeper here on the FastForwardBlog because I always get such good, and candid, feedback from everyone here.

Diving in to Social Business Design: The Dynamic Signal
The concept of the “real time enterprise” is not new. The idea that organizations can compete more effectively through faster decision making and streamlined operational efficiencies has been applied in all types of organizations. Measurement is at the center of a social business design and the ability to measure an organization in real time will be critical to the future health of a social business, this is why data availability will be critical and why the Dynamic Signal will be the new organizational backbone.

In the past the concept of a real-time enterprise was driven by data integration and other projects which focused on re-factoring existing enterprise systems and processes in order to generate large amounts of real-time data. While the concept was sound, these projects, such as Enterprise Application Integration exercises, have been estimated to have failure rates as high as 70%.

The interesting thing about the nature of these projects is the rigidity of their design and implementation. The same systems-level design discipline that needed to be applied to application integration flowed through the entire project and resulted in very few tangible or personal outcomes for the end user. Many projects have also been extremely rule and process focused, which always seemed counter-intuitive to me.

This systems and data approach resulted in a view of the real-time enterprise which was almost entirely application and process based. In retrospect it is easy to understand why this happened: It was the first time in history that systems were available to generate this level of data and the prospect of intelligently linking these data creation software and systems was exciting.

In the past we wanted to create data buses in order to connect systems together. We thought that if we could standardize rules, share data and integrate interfaces then we would be home free. The proof is in the pudding however, and the world is sadly a much messier place than we imagined.

The concept of the Dynamic Signal is a conceptual step beyond the Enterprise Service Bus and introduces data interchange with a distinctly social approach. While traditional data buses have been designed to ship data between applications and have put systems at the center, a Dyanmic Signal is a user-first approach to data generation which means that events are generated primarily based on user actions and interactions, but there is still room for systems-level participation in the stream.

The Perfect Dynamic Signal
Developing the perfect Dynamic Signal for an organization is one half design work and one half implementation. Designing a Dynamic Signal does not mean just creating a stream of data and events, but defining the user-relevant outcomes and identifying how those can be leveraged.

The perfect dynamic signal will combine existing enterprise data sources and will allow for user-created events to be added to the stream. These sources should include outside services as well as internal sources. I have seen a few really interesting enterprise systems lately which take different approaches to integrating third parties such as Facebook, Twitter and cloud based services like Salesforce and Webex.

Adding the Metafilter
Creating the Dynamic Signal infrastructure for an organization means that all people in the enterprise can understand what is happening and they can contribute to those activities just-in-time when needed. This presents a new problem however: Filter Failure. Overloaded inboxes, thousands of tweets, millions of events and data points all fly by and the user is often left with very little ability to filter, prioritize, share or collaborate on those items.

A Metafilter, when added to a Dynamic Signal, is a key component of ensuring that a Social Business infrastructure is manageable and customizable by the user. Metafilters can be simple and straightforward filters, but they can also be dynamic and highly integrated content managers which can be built by individual users or through Ecosystem participation. It is through the use of an enterprise ecosystem that we can leverage social network and work related data to create stronger metafilters.

Will we get to the real time enterprise?
It would be easy to dismiss a Dynamic Signal approach to building a Social Business as doomed for failure based on the success rates of past IT based information management projects, but it would be a mistake.

For the first time we are seeing a complete set of ideas emerge which are applicable on both a strategic and implementation level. The four major archetypes of Social Business Design can be integrated to move past simple data interchange and in to a world of work in which end-users are in control and through which they can collaborate in real time. Without this framework it was easy to miss the need to develop strong ecosystems and intelligent metafilters in addition to a dynamic signal.

I am looking forward to being able to start talking about some fantastic case studies which illustrate these concepts, and welcome any insights or experience you might have in developing a real time enterprise system.

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Social Media – The Challenge of Adoption – Rob’s Dummies Guide

by Rob Paterson

Most of the tools that are central to social media are very easy to use. Each year they get easier. Each year their power increases as well. Each year it becomes more obvious that any organization – a business – a Non Profit – a government – a school – a family – will do much better if they adopt social media.

So why is adoption not more evident?

Because unlike adopting word-processing or spreadsheets – that made something familiar easier and better – social media demands some thing very difficult.

It demands that we give up how we see the world. We have to give up the idea of direct control and replace it with the idea of “order” in a network.

Adopting Social Media is of course part of what we know as a paradigm shift. No amount of argument or evidence from the expert will shake a paradigm.

So if we can accept this, the demands of shifting a paradigm, as the adoption issue. Then we have to stop what most of us have been doing in trying to get others to adopt. We have to stop showing off as social media experts. We have to stop talking about features of the software.

Instead we have to understand the science of how to shift a paradigm and we have to start using the social rules embedded in the science of Adoption to help others experience the change for themselves.

Here is a piece that I put together a while back that will give you the Dummies Guide.

The Dummies Guide to Change, Diffusion and the Tipping Point

Understanding how to initiate change is becoming a central issue for our time. Fortunately nature has given us a model that has a much better chance of working than all the change book’s ideas so far.

Over the last 2 years I have been seeking the best compression of the ideas of Everett Rogers - the father of Diffusion Theory and his popular disciple Malcolm Gladwell of Tipping Point fame.

I have edited a number of other people’s work into what I hope is the easiest, most complete and most accessible review of their thinking. This is not my original work but is my original editing!

I hope that this helps you in your change project.

How can you put your organization on the leading edge of the competitive landscape?

It is clear to many leaders that “Business as Usual” is a recipe for organizational failure. Knowing where to go is not enough. The real leadership issue is knowing how to get the rest of the organization to go there.

How do you effect meaningful change? That is the question. How does change really happen?

Change is frustrating for everyone in organizations. Leaders know that often survival depends on change. Most employees however see change only as a threat and resist change. Change is seen by most as involving great effort and that in the end it often fails.

But there is another way of looking at change. What if change was easy and required little effort but needed instead clever use of process? What if we saw change in the same way that disease happens. What if new ideas were like germs and the process of change was like an epidemic? How could you set change on motion by using this concept?

This paper is a consolidation of a number of ideas that support this thesis

Adoption of Internet Technology
(I wrote this in 2004!!!) Approximately 37 million US adults use the Internet from home on a daily basis compared to only 19 million in mid-1997, according to The Strategis Group. The Internet is expected to have 250 million users globally in the next two year. This level of growth is tremendous.

Adoption is a key phrase with Internet technology. Adoption is the process of integrating the Internet and its benefits into the life of an individual or organization. It is based on innovation.

Innovativeness is the degree to which an individual or other unit of adoption is relatively early in adopting new ideas than other members of a system. Innovativeness indicates overt behavioral change. Everett Rogers wrote a book many consider to be the leading book on the Internet and technology called, ‘The Diffusion of Innovation.’ This is how the curve looks. Note the gestation period at first and then the system Tips and climbs almost effortlessly if the precinditions for adoption have been met.
tp

The social strata for adoption
Rogers stated that the individuals in a social system do not adopt an innovation at the same time. Rather, they adopt in an over-time sequence, so that individuals can be classified into adopter categories on the basis of when they first begin using a new idea.

♣ Innovators account for 2.5 percent of individuals in a system.
♣ Early Adopters account for 13.5 percent.
♣ The Early Majority account for 34 percent.
♣ The Late Majority also accounts for 34 percent.
♣ Laggards make up the remaining 16 percent.

Here we see the diffusion effect from the perspective of how networks form. Some people have more influence than others.

1. Innovators
Innovators are daring, rash and risky. They are able to cope with a high level of uncertainty. Rogers says, “While an innovator may not be respected by the other members of a local system, the innovator plays an important role in the diffusion process; that of launching the new idea in the system by importing the innovation from outside of the system’s boundaries. Thus the innovator plays a gate-keeping role in the flow of new ideas into a system.”

2. Early Adopters
Opinion leadership is an important aspect of the Early Adopter. They often serve as a role model for other people. They are more integrated into society than the innovators. “The early adopter is respected by his or her peers, and is the embodiment of successful, discrete use of new ideas. The early adopter knows that to continue to earn this esteem of colleagues and to maintain a central position in the communication networks of the system, he or she must make judicious innovation-decisions. The early adopter decreases uncertainty about a new idea by adopting it, and then conveying a subjective evaluation of the innovation to near-peers through interpersonal networks,” Rogers said.

3. Early Majority
The early majority adopts new ideas just before the average member of a system. The early majority is the most numerous adopter categories, making up one-third of the members of a system. Rogers says, “The early majority may deliberate for some time before completely adopting a new idea. Their innovation-decision period is relatively longer than that of the innovator and the early adopter. They follow with deliberate willingness in adopting innovations, but seldom lead.”

4. Late Majority
The late majority adopts new ideas just after the average member of a system. Like the early majority, the late majority makes up one-third of the members of a system. Adoption may be both an economic necessity for the late majority, and the result of increasing network pressures from peers. “Innovations are approached with a skeptical and cautious air, and the late majority do not adopt until most others in their system have done so. The weight of system norms must definitely favor an innovation before the late majority are convinced. The pressure of peers is necessary to motivate adoption,” said Rogers.

5. Laggards
Laggards are the last in a social system to adopt an innovation. They possess almost no opinion leadership. Rogers says, “Laggards tend to be suspicious of innovations and change agents. Their innovation-decision process is relatively lengthy, with adoption and use lagging far behind awareness-knowledge of a new idea. Resistance to innovations on the part of laggards may be entirely rational from the laggards’ viewpoint, as their resources are limited and they must be certain that a new idea will not fail before they can adopt.”
How does understanding the Tipping Point help us make this shift?

THE TIPPING POINT IS:
Is the one dramatic moment in an epidemic when everything can change all at once.

Is the moment of critical mass, the threshold, the boiling point, a place where the unexpected becomes expected, where radical change is more than possibility. It is a certainty.

They are like epidemics…

Tip because of the extraordinary efforts of a few select carriers. But they also sometimes tip when something happens to transform the epidemic agent itself.

Ideas and products and messages and behaviors spread just like viruses do.

They are another example of geometric progression: when a virus spreads through a population, it doubles and doubles again into infinity. Epidemics are a function of the people who transmit infectious agents, the infectious agent itself, and the environment in which the infectious agent is operating

This is How SARS spread in Toronto – note the match to the classic curve.
SARSgraph
The curve is not imaginary – it is a given.

They (Epidemics) have clear examples of contagious behavior. They both have little changes that make big effects. It takes only the smallest of changes to shatter an epidemic’s equilibrium.

They happen in a hurry.

This is the most important trait, because it is the principle that makes sense of the first two and that permits the greatest insight into why modern change happens the way it does.

Epidemics involve straightforward simple things; a “product” However, I see it as a way to spark revolution and a message.

In order to create one contagious movement, you often have to create many small movements first. Contagiousness is in larger part a function of the messenger. Stickiness is primarily a property of the message.

THE LAW OF THE FEW
There are exceptional people out there who are capable of starting epidemics. All you have to do is find them. With an epidemic, a tiny majority of the people does the work. Once critical factor in epidemics is the nature of the messenger. Messengers make something spread.

Word of mouth is still the most important form of human communication. Rumors are the most contagious of all social messages.

Connectors
♣ People with a special gift for bringing the world together, people specialists
♣ Know lots of people
♣ Have an extraordinary knack of making friends and acquaintances, making social connections.
♣ Have mastered the “weak tie”; a friendly, yet casual social connection.
♣ Manage to occupy many different worlds and subcultures and niches. By having a foot in so many different worlds, they have the effect of bringing them all together.
♣ Acquaintances represent a source of social power, and the more acquaintances you have the more powerful you are.
♣ Social glue: they spread the message

Mavens
♣ Information specialists
♣ Once they figure out how to get that great deal, they want to tell you about it too.
♣ Solves his own problems, his own emotional needs, by solving other people’s problems.
♣ Have knowledge and the social skills to start word-of-mouth epidemics.
♣ A teacher and a student
♣ In a social epidemic, Mavens are data banks. They provide the message.

Salespeople
• Have the skills to persuade when we are unconvinced of what we are hearing.
• Little things can make as much of a difference as big things.
• Gives nonverbal clues that are more important than verbal clues.

Processes
“Interactional synchrony”: human interaction has a rhythmic physical dimension. We dance to each other’s speech…we’re perfectly in harmony.

Motor mimicry: we imitate each other’s emotions as a way of expressing support and caring and, even more basically, as a way of communicating with each other. Emotion is contagious. “Senders” are very good at expressing emotions and feelings. They are far more emotionally contagious than the rest of us.

Persuasion often works in ways that we do not appreciate. You draw others into your own rhythms and dictate the terms of the interaction.

THE STICKINESS FACTOR
There is a simple way to package information that, under the right circumstances, can make it irresistible/sticky and compels a person into action. All you have to do is find it. In order to be capable of sparking epidemics, ideas have to be memorable and move us into action. Content of the message matters too.

1. What is needed is a subtle but significant change in presentation to make most messages stick.
2. The elements that make an idea sticky turn out to be small and trivial.
3. “Clutter” has made it harder and harder to get any one message to stick. The information age has created a stickiness problem.
4. Pay careful attention to the structure and format of your material, and you can dramatically enhance stickiness.
5. Can tip a message by tinkering, on the margin, with the presentation of their ideas THE POWER OF

CONTEXT
We don’t necessarily appreciate that our inner states are the result of our outer circumstances. We are more than just sensitive to changes in context. We’re exquisitely sensitive to them. And the kinds of contextual changes that are capable of tipping an epidemic are very different than we might ordinarily suspect. The impetus to engage in a certain kind of behavior is not coming from a certain kind of person but from a feature of the environment.

1. Small changes in context can be just as important in tipping epidemics.
2. An environmental argument.
3. What really matters is little things “Broken Windows Theory”: in a city, relatively minor problems like graffiti, public disorder, and aggressive panhandling, are all the equivalent of broken windows, invitations to more serious crimes (Rudy Gulliani’s belief)
4. An epidemic can be reversed/tipped by tinkering with the smallest details of the immediate environment.
5. There are specific situations so powerful that they can overwhelm our inherent predispositions.
6. Human beings invariably make the mistake of overestimating the importance of fundamental character traits and underestimating the importance of the situation and context. We are a lot more attuned to personal cues than contextual cues.
7. Character is more like a bundle of habits and tendencies and interests, loosely bound together and dependent, at certain times, on circumstances and context.
8. The convictions of your heart and the actual contents of your thoughts are less important, in the end, in guiding your actions then the immediate context of your behavior.

THE MAGIC NUMBER 150
“There seems to be some limitation built into us either by learning or by the design of the nervous systems, a limit that keeps our channel capacities in this general range (i.e. the human minds inability to comprehend things beyond sets 7)” —George Miller “The Magical Number Seven”

“The figure of 150 seems to represent the maximum number of individuals with whom we can have a genuinely social relationship, the kind of relationship that goes with knowing who they are and how they relate to us. Putting it another way, it’s the number of people you would not feel embarrassed about joining uninvited for a drink if you happened to bump into them in a bar.” —Robin Dunbar,

1. Even relatively small increases in the size of a group [beyond 150] create a significant additional social and intellectual burden.
2. The rule of 150 suggests that the size of a group is another one of those subtle contextual factors that can make a big difference.
3. Peer pressure is much more powerful than a concept of a boss
4. Transactive memory: we store information with other people. Since mental energy is limited, we concentrate on what we do best.
5. Groups of 150 are an organized mechanism that makes it far easier for new ideas and information moving around the organization to tip; to go from one person or one part of the group to the entire group all at once.

CONCLUSION
First Lesson of the Tipping Point
Starting epidemics requires concentrating resources on a few key areas. Your resources ought to be solely concentrated on the Connectors, Mavens, and Salesmen.

Second Lesson of the Tipping Point
The world does not accord with our intuition. Those who are successful at creating social epidemics do not just do what they think is right. They deliberately test their intuitions.

Important Conclusion! What must underlie successful epidemics, in the end, is a bedrock belief that change is possible, that people can radically transform their behavior or beliefs in the face of the right kind of impetus.

Tipping Points are a reaffirmation of the potential for change and the power of intelligent action. Look at the world around you. It may seem like an immovable, implacable place. It is not. With the slightest push; just in the right place; it can be tipped.

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