Managing in a networked world

In 2009, Anthony Poncier wrote a good post (in French) that covered the eight challenges of management in the virtual era; loosely translated as:

  1. Being concurrently nomadic and collaborative.
  2. Renewing the workplace social contract.
  3. Creating new modes of leadership.
  4. Creating value, not just revenue.
  5. The production of collective knowledge.
  6. Managing with both IQ and EQ (emotional quotient).
  7. A diverse community rather than a disciplined unity.
  8. Learning about the reality of the virtual.

1. Being concurrently nomadic and collaborative is becoming the norm in both large corporations and in small start-ups. The Internet Time Alliance is spread across eight time zones and we understand these challenges. One key to ensuring collaboration is through the narration of work. This fosters transparency and is something to be modelled by management.

2. Transparency becomes a catalyst in renewing the workplace social contract. Empowered workers have more responsibilities and power must be shared. This of course is a major challenge but many companies are already dealing with it, as the WorldBlu list of most democratic workplaces shows.

3. New and radical leadership models are coming forward as alternatives to more traditional, military-style command and control frameworks.

4. Creating long-term value is becoming more obvious in the business world. Dave Pollard’s Finding the Sweet Spot offers a simple guide to responsible, sustainable, joyful work:

  1. Find the sweet spot: Identify your Gift, passion, and purpose
  2. Find the right partners
  3. Research unmet needs
  4. Imagine and innovate solutions
  5. Continuously improvise
  6. Act responsibly on principle

5. I’ve said before that personal knowledge management (PKM) is our part of the social learning contract. Collective knowledge only becomes a reality when individuals engage in meaningful conversations to share their tacit knowledge. Collective knowledge is much more than databases of information.

6. The social, human side of business relationships is finally getting the attention it deserves. Once again, look at Rachel Happe’s vision for the social organization, with some of these attributes:

  • Employment as a mix of commitment/free-agency
  • Managers focused on developing people or managing projects, not on pieces of turf
  • Workers manage their own schedules
  • Each worker has a unique “competency model”
  • Customers participate in projects

7. The challenge of balancing diversity & unity is complex and requires new perspectives. Monika Hardy made this comment on my post, Emergent Value:

all levels are needed in any large organization…
isn’t that what we can do now.. seamlessly. gyrating from the vertical to the horizontal at whim, sophisticated zooming in and out, we’re in the system, we’re out of the system, we’re large, we’re small.
and without us even thinking it’s work, or that we’re doing it, or forcing it.
it’s like our reward for listening to what tech wants is that we can just be. and the freedom from just being, the extra time/money/energy from letting tech work the chaos, is allowing us to notice things we’ve been blinded to – for all the order we thought we craved. we were missing mindfulness.
emergent value and life in perpetual beta.. how lucky are we?

8. Virtual relationships are real and have significant impact on organizations. A song on the Net can drop stock values and a dispersed group of individual activists with networked computers can embarrass nation states and corporations. Virtual relationships can create significant business value (to which I can attest on many occasions). Separating relationships by medium is rather fruitless, so managers need to understand the virtual very well.

Thanks again to Anthony for eight good points, still pertinent today.

The future's so bright: Workers gotta wear shades

What is the future of the corporate model in a knowledge society?

Networked workplaces are on the rise and are challenging the large corporation model. For instance, many big web companies have comparatively few staff. They leverage their networks.

But the corporation is not going to become suddenly extinct, as most of our laws and business practises favour the corporation over the individual. Witness who legally owns the intellectual property (IP) produced by the employee [answer: the corporation]. It’s only in some universities that the knowledge worker maintains these rights.

While salaried workers may not own their IP, they own more and more of the “know-how”. This intangible know-how is the real value of knowledge – being able to do something with it. We are seeing the rise of  knowledge artisans who bring their tools; and leave with them. This is change from the bottom of the organizational pyramid.

Intellectual Property itself has minimal value and much IP isn’t worth the effort to protect it. Consider that companies like Facebook and Twitter have not built their businesses on patent applications. They’re too busy refining their business models, which are in perpetual Beta. Much business value is not in the idea or even the artifact that represents it, but in the speed and vigour of implementation.

The command and control corporate model may be forced to change when shareholders really understand that the valuation of their average corporation is getting to be more than 85% intangible assets. These intangibles are worthless without the know-how of knowledge workers. Therefore the actual value of the average corporation, without its people, is getting close to zero. So where would you put your money? In the corporation or in the people? For now, you have limited options, but who knows if this may change.

Look at Rachel Happe’s vision for the social organization, with some of these attributes:

  • Employment as a mix of commitment/free-agency
  • Managers focused on developing people or managing projects, not on pieces of turf
  • Workers manage their own schedules
  • Each worker has a unique “competency model” [farewell HR]
  • Customers participate in projects

This sounds like a wirearchy or what I would describe as a structure that fosters multi-way flows of power based on trusted relationships facilitated by networked transparency. It reflects what chaordic structures have tried to do – balance chaos and order. Between chaos and order lies complexity, and that’s what simpler, but more nimble, organizational structures can better address.

In a networked world, the future of the corporation will be different, just as the future of many countries today looks suddenly different.

Thanks to Timbuk3 for the title inspiration.

Virtual Trust

Virtual work can significantly reduce useless meetings, eliminate commuting time and free up time for knowledge workers to focus on what is important: being creative and dealing with complex problems.

Virtual work also changes the organizational dynamic. Because you can’t watch each person and micro-manage the work, the organization must come up with real performance measurements (instead of obsolete measures such as pay for time), and that in itself might increase productivity.

Virtual learning has similar effects. As much as I enjoy face-to-face group learning sessions, they can be limiting. For instance, there is often no back-channel of text-based IM conversation going on simultaneously, nor can I quickly pop a link or file to everyone while the conversation continues. Face-to-face can also be a bit too  linear (highly dependent on time allotted for the session) and not as productive as some virtual sessions.

A key to learning and working collaboratively is trust. Trust is the glue that holds knowledge organizations together, not rules and regulations.  It’s something to consider when developing a recruitment and retention strategy for knowledge-intensive workplaces.

A few years ago, Charles Green responded to my post about the knowledge economy being a trust economy:

Your title captures an important insight; the knowledge economy allows significant distribution of nodes of knowledge, means of production, etc. To get the value of that, resources have to be distributed. If people can’t figure out how to trust other people, all that value goes unachieved. Or, more likely, it accrues to other organizations or networks who HAVE figured out how to trust each other.

I’ve referred several times to articles at the Trusted Advisor because trust is such an important factor in knowledge work as knowledge and innovation cannot be effectively coerced from workers.

Here’s Charles on Measuring and Managing:

If you can measure it, you can manage it; if you can’t measure it, you can’t manage it; if you can’t manage it, it’s because you can’t measure it; and if you managed it, it’s because you measured it.

Every one of those statements is wrong. But business eats it up. And it’s easy to see why …

The ubiquity of measurement inexorably leads people to mistake the measures themselves for the things they were intended to measure.

In the learning & development business there is much focus on compliance training, especially since regulatory compliance accounts for a significant amount of learning content development and learning management technology sales. However, there are few sales pitches that say, go ahead, let your employees decide what’s best for them.

Trust, it seems, doesn’t sell stuff:

  • If you trust workers to manage their learning, you don’t need an LMS.
  • If you trust workers to get things done, you don’t need a tracking system.
  • If you trust workers to learn, you don’t have as much pre-programmed training because they will find what’s best.
  • If you trust workers to be self-directed learners they would have a say in the training budget and I doubt they would vote to buy an LMS.

The large amount of compliance training in the workplace is just one more indicator of the amount of trust that organizations and regulatory agencies have in workers. The default position is don’t trust; regulate. However, this won’t work in virtual, distributed organizations, which are fast becoming the norm.

With increasing virtualization of work, there is little doubt that organizational structures will need to change and that management models will  need to adapt to increasing complexity. The virtual workplace requires a foundation of shared information, knowledge, power and trust.

 

Challenging the status quo

Euan Semple’s fantasy:

A business where everyone blogs. Everyone thinks about what they are doing and writes about what they are doing. From the top to the bottom, the edges to the middle. Everyone awake and bouncing off each other intellectually as they get more and more effective at whatever they do.

This sounds like the six of us at the Internet Time Alliance and with all of this free thinking, we have a tendency to question the status quo.

Speaking of status quo, Thierry de Baillon has an interesting perspective on the hidden power of renegade networks:

While one of social software’s goal is to harness freeform communication to facilitate knowledge sharing, this kind of tacit knowledge, mostly learned by doing or exchanged nearly in secret between peers, is quite never shared. In a short exchange with Harold Jarche in the Social Learning Community created by Jane Hart (you should join it if you haven’t yet and are interested in the use of social media for working and learning ), I called it Renegade Knowledge, as it clearly subverts organizational behavior. Paradoxically, it is also the kind of knowledge which makes up for processes and procedures shortcoming and helps things keeping running.

Sumeet Moghe shows how questioning the status quo can be part of organizational culture:

At ThoughtWorks, no question is taboo. A company that started from our founder, Roy Singham’s basement, people seem to feel comfortable questioning just about anything in the company. When I joined the company I was quite surprised to see what I thought was the apparent lack of regard for authority in this organisation. People seemed to have no fear questioning the chairman, the CEO or anyone else in the company. It seemed that no ‘best practice’ escaped the “Why?”question. What I thought of as a sign of disrespect in those days, is really a culture of healthy disruption. A big smell in organisational cultures, is when people follow an individual or a practice blindly. A culture of questioning is a great way to drive conversation and helps establish the relevance of a view or a practice in a specific context. In person, or online, these discussions seem to build up like magic. I must say this starts right from the leadership, who encourage questioning. I’ve rarely seen anyone who feels offended because someone questioned their wisdom.

The status quo is rooted in the past and can provide much-needed stability, but we need to balance this stability with ways to innovate in changing and complex situations. This is the great organizational challenge for most companies. A culture that promotes transparency through the narration of work (e.g. blogging) is a pragmatic way to deal with this.

Blogging, or any other form of narration, lets you create, contextualize, connect and co-create in many ways. As one moves from content creation to contextualization (through grouping, tagging or rating), the potential network effects increase. This gets greater as people connect to the artifacts (through comments, linking or discussion) and then to co-creation, such as mashups or remixes. The basic idea is that as more people manipulate digital objects and give them meaning and context then these objects gain in value.

Narration drives transparency and with transparency come exponential network effects. It’s simple to explain but rather difficult to achieve in hierarchical structures. With ubiquitous connectivity & pervasive proximity, I’m betting the status quo will change.

 

 

Social Learning, Complexity and the Enterprise

The social learning revolution has only just begun. Corporations that understand the value of knowledge sharing, teamwork, informal learning and joint problem solving are investing heavily in collaboration technology and are reaping the early rewards. ~ Jay Cross

Social learning

Note: This is a re-post and update of a previous article, originally published as a White Paper (PDF). This web page should enable easier linking.

Why is social learning important for today’s enterprise?

George Siemens, educational technologist and researcher at Athabasca University, has succinctly explained the importance of social learning in the context of today’s workplace:

There is a growing demand for the ability to connect to others. It is with each other that we can make sense, and this is social. Organizations, in order to function, need to encourage social exchanges and social learning due to faster rates of business and technological changes. Social experience is adaptive by nature and a social learning mindset enables better feedback on environmental changes back to the organization.

The Internet has fundamentally changed how we communicate on a scale as large as the printing press or the advent of written language. Charles Jennings, of Duntroon Associates, explains why we need to move away from a focus on knowledge transfer and acquisition, an approach rooted in Plato’s academy:

We are moving to the world of the sons of Socrates, where dialogue and guidance are key competencies. It is a world where the capability to find information and turn it into knowledge at the point-of-need provides the key competitive advantage, where knowing the right people to ask the right questions of is more likely to lead to success than any amount of internally-held knowledge and skill.

Our relationship with knowledge is changing as our work becomes more intangible and complex. Notice how most value in today’s marketplace is intangible, with Google’s multi- billion dollar valuation an example of value in non-tangible processes that could be deflated with the development of a better search algorithm. Non-physical assets comprise about 80 percent of the value of Standard & Poor’s 500 US companies in leading industries.

From replaceable human resources to dynamic social groups

The manner in which we prepare people for work is based on the Taylorist perspective that there is only one way to do a job and that the person doing the work needs to conform to job requirements [F.W. Taylor, The Principles of Scientific Management, 1911]. Individual training, the core of corporate learning and development, is based on the premise that jobs are constant and those who fill them are interchangeable.

However, when you look at the modern organization, it is moving to a model of constant change, whether through mergers and acquisitions or as quick-start web-enabled networks. For the human resources department, the question becomes one of preparing people for jobs that don’t even exist. For example, the role of online community manager, a fast-growing field today, barely existed five years ago. Individual training for job preparation requires a stable work environment, a luxury no one has any more.

A collective, social learning approach, on the other hand, takes the perspective that learning and work happen as groups and how the group is connected (the network) is more important than any individual node within it.

MIT’s Peter Senge has made some important clarifications on terms we often use in looking at work, job classifications and training to support them.

Knowledge: the capacity for effective action. “Know how” is the only aspect of knowledge that really matters in life.

Practitioner: someone who is accountable for producing results.

Learning may be an individual activity but if it remains within the individual it is of no value whatsoever to the organization. Acting on knowledge, as a practitioner (work performance) is all that matters. So why are organizations in the individual learning (training) business anyway? Individuals should be directing their own learning. Organizations should focus on results.

Individual learning in organizations is basically irrelevant because work is almost never done by one person. All organizational value is created by teams and networks. Furthermore, learning may be generated in teams but even this type of knowledge comes and goes. Learning really spreads through social networks. Social networks are the primary conduit for effective organizational performance. Blocking, or circumventing, social networks slows learning, reduces effectiveness and may in the end kill the organization.

Social learning is how groups work and share knowledge to become better practitioners. Organizations should focus on enabling practitioners to produce results by supporting learning through social networks. The rest is just window dressing. Over a century ago, Charles Darwin helped us understand the importance of adaptation and the concept that those who survive are the ones who most accurately perceive their environment and successfully adapt to it. Cooperating in networks can increase our ability to perceive what is happening.

Making social learning work

Jon Husband’s working definition of Wirearchy is “a dynamic two-way flow of power and authority, based on knowledge, trust, credibility and a focus on results, enabled by interconnected people and technology”. We are seeing increasing examples of this on the edges of the modern enterprise. WorldBlu.com’s annual listing of our most democratic workplaces continues to grow and gain attention. Google’s dedicated time-off for private projects, given to its engineers, promotes non-directed learning and collaboration. Zapposdirectly engages with its customers on Twitter, fostering higher levels of two-way trust. As customers, suppliers and competitors become more networked, being more wirearchical will be a business imperative.

Wirearchies inherently require trust, and trusted relationships are powerful allies in getting things done in organizations. Trust is also an essential component of social learning. Just because we have the technical networks does not mean that learning will automatically happen. Communications without trust are just noise, not accepted and never internalized by the recipients.

Here are some ways to make social learning work in the enterprise:

  • Think and act at a macro level (what to do) and leave the micro (how to do it) to each worker or team. The little stuff is changing too fast.
  • Engage with Web media and understand how they work. The Web is too important to be left to the information technology department, communications staff or outside vendors.
  • Use social media to make work easier or more effective. Use them to solve problems for work teams and groups.
  • Make traditional management obsolete. Teach people how to fish or better yet, teach them how to learn to fish themselves. If the organization is maintaining a steady state then it has failed to evolve with the environment.

Analyzing social learning

Most 20th century workplaces had two types of learning: formal learning through training and informal learning (about 80% according to available research) which just happened by accident or the result of observation, conversation and time in the job. This focus on formal training, for skills and knowledge, missed out on our social nature. Business has always been social, especially at the higher levels of management and with ubiquitous access to networks, this is once again part of everyone’s work. In the global village, we are all interconnected.

Jane Hart, social learning consultant, has shown how social media can be used for workplace learning and that instead of just training, there are five types of learning that should be supported by the organization.

IOL – Intra-Organizational Learning – keeping the organization up to date and up to speed on strategic and other internal initiatives and activities
GDL – Group Directed Learning – groups of individuals working in teams, projects, study groups, etc Even two people working together in a coaching and mentoring capacity
PDL – Personal Directed Learning – individuals organizing and managing their own personal or professional learning
ASL – Accidental & Serendipitous Learning – individuals learning without consciously realizing it (aka incidental or random learning)
FSL – Formal Structured Learning – formal education and training like classes, courses, workshops, etc (both synchronous and asynchronous)

Notice that traditional training (FSL) is only one of the five types. Three of these (IOL, GDL, PDL) require self-direction, and that is the essence of social learning: becoming self-directed learners and workers, all within a two-way flow of power and authority. Social and informal learning are not just feel-good notions, but have a real impact on an increasingly intangible business environment.

Jay Cross has looked at the ways that social learning is becoming real and developed this table to highlight some of the workplace changes he is observing:

Implementing social learning

Five Types of Workplace Learning

The changes in becoming a networked workplace can be further analyzed using Jane Hart’s five ways of using social media for learning in the organization.

ASL – Accidental & Serendipitous Learning: from Stocks to Flow

Learning is conversation and online conversations are an essential component of online learning. Online communication can be divided into Stocks (information that is archived and organized for reference and retrieval) and Flows (timely and engaging conversations between people, including voice or written communications). Blogs allow flow and micro-blogs, like Twitter, enable great flow due to the constraint of 140 characters.

The web enables connections, or constant flow, as well as instant access to information, or infinite stock. Stock on the Internet is everywhere and the challenge is to make sense of it through flows of conversation. It is no longer enough to have the book, manual or information, but one must be able to use it in changing contexts. Because of this connectivity, the Web is an environment more suited to just-in-time learning than the outdated course model. ASL is shifting from looking at knowledge as the collection of bits and engaging in the learning flows around us, without any conscious plan. We are working and learning in networks and the only thing a network can do is share.

PDL – Personal Directed Learning: from Clockwork & Predictable to Complexity & Surprising

Complexity, or maybe our appreciation of it, has rendered the world unpredictable, so the orientation of learning is shifting from past (efficiency, best practice) to future (creative response, innovation). Organizing our own learning is necessary for creative work. Workplace learning is morphing from blocks of training followed by working to a merger of work and learning: they are becoming the same thing. Change is continuous, so learning must be continuous. Developing emergent practices, a necessity when there are no best practices in our changing work environments, requires constant personal directed learning.

In complex environments it no longer works to sit back and see what will happen. By the time we realize what’s happening, it will be too late to take action. Accepting surprise is similar to the delight an artist may have on completion of a work and only then see an emergent quality not consciously understood during the process of its creation.

GDL – Group Directed Learning: from Worker Centric to Team Centric

As mentioned earlier, the real work in organizations is done by groups. This means that sending individuals on a training course and then re-integrating to their work group is relatively useless. With work and learning merging in the network, groups need to find ways that support each member’s learning, while engaged in tasks and projects. Tools that can capture activities and keep group members focused should be used to reinforce group learning.

Social learning requires a certain amount of effort to maintain regular contact and association with our colleagues. Developing social learning practices, like keeping a work journal, may be an effort at first but later it’s just part of the work process. Bloggers have learned how powerful a learning medium they have only after blogging for an extended period. With the increased use of distributed work groups, it is even more important to foster social learning and web media are the current tools at hand.

IOL – Intra-Organizational Learning: from Subject Matter Experts to Subject Matter Networks

Mark Oehlert, anthropologist, historian and technologist, recently coined the term Subject Matter Networks as a new way of finding organizational knowledge. Instead of looking for subject matter experts from which to design training, we should extend knowledge gathering to the entire network of subject-matter expertise. Once again, the emphasis is no longer on the individual node but on the network. Good networks make for effective organizations.

Networked communities are better structures in dealing with complexity, when emerging practices need to be continuously developed and loose ties can help facilitate fast feedback loops without hierarchical intervention. Collaborative groups are better at making decisions and getting things done. The constraints of the group help to achieve defined goals.

Building capabilities from serendipitous to personally-directed and then group-directed learning help to create strong networks for intra-organizational learning. This is exceptionally important because the emerging knowledge-intensive and creative workplace has these attributes:

  • Simple work will be automated.
  • Complicated work will go to the lowest bidder, as processes & procedures become more defined and job aids more powerful (e.g. mortgage applications).
  • Complex work requires creativity and is where the value of the post-industrial organization lies.
  • Dealing with Chaos sometimes has be confronted and this requires creativity as well as a sense of adventure to try novel approaches.

FSL – Formal Structured Learning: from Curriculum to Competency

There remains a need for training in the networked workplace but it must move away from a content delivery approach. The content will be out of date before the training is “delivered” (another outdated term). Work competencies will still need to be developed through practice and appropriate feedback (what training does well) but that practice will have to be directly relevant to the individual or group (group training is an area of immense potential growth). Jointly defining work competence with input from individuals, groups and subject matter networks should become the new analysis process, enabled by social media. Think of it as social ADDIE (analysis, design, development, implementation, evaluation) for the complex workplace.

Complexity: the new normal

Our workplaces are becoming interconnected because technology has enabled communication networks on a worldwide scale. This means that systemic changes are sensed almost immediately. Reaction times and feedback loops have to get faster and more effective. We need to know who to ask for advice right now but that requires a level of trust and trusted relationships take time to nurture. Our default action is to turn to our friends and trusted colleagues; those people with whom we’ve shared experiences. Therefore, we need to share more of our work experiences in order to grow those trusted networks. This is social learning and it is critical for networked organizational effectiveness.

Our current models for managing people, training and knowledge-sharing are insufficient for a workplace that demands emergent practices just to keep up. Formal training has only ever addressed 20% of workplace learning and this was acceptable when the work environment was merely complicated. Knowledge workers today need to connect with others to co-solve problems. Sharing tacit knowledge through conversations is an essential component of knowledge work. Social media enable adaptation, and the development of emergent practices, through conversations.

How organizations have evolved

Most companies start simple, with a few people gathering together around an idea. For small companies, decision-making, task assignments and direct interaction with clients are rather straightforward. With growth, the simplicity ends. As every entrepreneur knows, the initial growth of a company is often synonymous with efficiency drops and decreases in profits, since administrative tasks, indirect structural costs and middle-term forecasts add financial and human pressure on early growth.

Overcoming these obstacles is one of the main burdens of start-ups and young businesses. Innovation abounds in the early stages and knowledge capitalization is aided by a common vision of the business. Further growth equates to sustainable efficiencies and market share increases. For decades, organizational growth has been viewed as a positive development, but it has come at a cost.

Complication: the industrial disease

As organizations grow, the original simplicity gets harder to maintain. Current management wisdom – based on Robin Dunbar’s research; the size of military units through history; and the work of management experts such as Tom Peters – considers the ideal size of an organization to be around 150 people. Beyond this size, knowing everybody in person becomes impossible. Intermediate layers of power and delegation begin to develop above 150 people and companies then enter the realm of complication.

Most of today’s larger companies have a complicated structure. To enable growth and efficiencies, more processes are put in place. This is what management schools have been doing for over half a century. To ensure reliable operations and risk mitigation, the core competencies of decision-making and innovation are moved to the periphery. The company’s vision, if there is one, is now supported at the board level but not the individual level. New layers of control and supervision continue to appear, silos are created, and knowledge acquisition is formalized in an attempt to gain efficiency through specialization.

As companies get even bigger, internal growth and innovation reach a tipping point, and companies rely on mergers and acquisitions to maintain the illusion of growth. At some stage of complication, companies do not even create jobs anymore. In France, a study (PDF) from INSEE showed that large organizations have a tendency to destroy internal jobs: by transferring jobs to subsidiaries, contractors and subcontractors. Large firms barely participate in job creation. Similar studies conducted in other countries show the same results. However, knowledge, and the acquisition of new knowledge, are still key factors for innovation and effectiveness. To compensate for its complicated processes, the enterprise attempts to shift to another paradigm, and tries to become a learning organization, putting significant effort into training.

Complexity and the New Enterprise

Today’s large, complicated organizations are now facing increasingly complex business environments that require agility in simultaneously learning and working. Typical strategies of optimizing existing business processes or cost reductions only marginally influence the organization’s effectiveness. Faster evolving markets challenge the organization’s ability to react to customer demand. Decision-making becomes paralyzed by process-based operations and chains of command and control; thereby decreasing agility. Training, as “the” solution to workplace learning needs, fails to deliver and then gets marginalized, often being the first department to have its budget cut.

Many organizations today are also facing significant demographic challenges. Baby boomers, once the lifeblood of business, are retiring, while Generation Y wants to communicate and interact in a completely different manner. There may be four generations in the modern workplace and each has its unique traits and demands. There is growing complexity both inside and outside the organization.

Organizations need to understand complexity, instead of simply increasing complication. This lack of understanding, as well as some existing, but minor, efficiency improvements in tweaking the old system, are the major barriers to adopting Enterprise 2.0 concepts and practices.

Companies need to get a clearer view of the competitive advantages of Enterprise 2.0 before an organizational framework like wirearchy can co-exist with hierarchical structures and thinking.

Here are some key organizational changes during the journey from simplicity to complexity:

Simplicity: basic hierarchy
Complication: bureaucracy
Complexity: wirearchy
Organizational Theory
Knowledge-Based View Learning Organization Value Networks
Attractors
Stakeholders (vision) Shareholders (wealth) Clients (service)
Growth Model
Internal Mergers & Acquisitions Ecosystem
Knowledge Acquisition
Formal Training Performance Support Social
Knowledge Capitalization
Best Practices Good Practices Emergent Practices

Let’s look at Knowledge AcquisitionFormal training is easy to task out or outsource and then assume that everything has been taken care of. The training gets done and the organization can account for it. Managers can say, “my people got their training”. Courts can be assured that workers have been trained, so the company has met its responsibilities.

Even performance support tools can be developed centrally, by external consultants or an internal team. The resulting tools are then sent throughout the organization to be used at work. The organization can say, “they have the tools”. For example, all bank officers can use the same mortgage calculator, so risk is managed fairly easily once the system is in place. The system is under control.

However, social knowledge acquisition in the organization is a different case. It requires a very different approach. First of all, centralized control won’t work. Secondly, individuals will become responsible for their learning and their actions. This requires trust. Control systems become counter-productive. There is no easy way to move an organization into this wirearchical space. It requires some serious thinking about how things get done. It means giving up control. It means organizational life in perpetual Beta, and that can be a scary thought.

Let’s look at how social learning can support emergent practices in the enterprise.

Implementation

Knowledge workers get things done by conversing with peers, customers and partners, as they solve the problems of the day. Learning from these social interactions is a key to business innovation. In a globally networked economy, based increasingly on intangible goods and services, constant innovation is necessary to stand out. Markets such as software, financial services, consulting and consumer goods have to continuously adapt their offers to keep up with changing demands and advances in technology.

Hyper-linked knowledge flows have made organizational walls permeable. Official channels are competing with an expanding number of informal communications. A collaborative enterprise is becoming the optimal organization for such a networked economy, capitalizing on these expanding knowledge flows. To innovate, organizations need to collaborate internally and this is social. To participate in their markets, organizations, customers and suppliers need to understand each other and this too, is social. Social learning is how knowledge is created, internalized and shared. It is how knowledge work gets done.

In complex environments, learning is much more than just a matter of structured knowledge acquisition. However, that is all that training enables. Corporate training methods often consist of delivering content and perhaps providing drill and practice sometime prior to doing the task. There is often a gap between training and doing. Training alone cannot address the wide variety of informal learning needs of workers. Nor can it help to transfer the tacit knowledge on which many of us depend to do our jobs.

We know that informal learning happens all of the time but often the best answers or experts are not connected to the person with the problem. Social learning networks can address that issue by giving each worker a much larger group of people to help get work done. Regularly publishing to our networks is how we can stay connected. Here is an approach to embed social learning into organization work flows. This is an iterative process that can be adapted to fit the context.

Listen & Create: Being open to self-education is the foundation of individual learning. Part of this is the development of habits of continuous sense-making by recording what we hear, read and observe; e.g. personal learning environments (PLE) & personal knowledge management (PKM).

Converse: Sharing is an act of learning and can be considered an individual’s responsibility for the greater social learning contract. Without sharing, there is no social learning. Through ongoing trusted conversations we can share tacit knowledge, even across organizational boundaries; e.g. social learning.

Co-create: Group performance enables the creation of new knowledge and is a source of innovation; e.g. collaborative work, customer experience.

Formalize & Share: Some informal knowledge can be made explicit and consolidated through the formalization and creation of new structured knowledge; e.g. taxonomies, document management, storytelling.

Enterprise social learning

Jane Hart has created a comprehensive, and growing, list of social learning examples in the workplace. Companies listed here include British Telecom, Sun Microsystems, NASA, Nationwide Insurance, and SFR. The SFR case study, reported by Sue Weakes, shows how a younger workforce is demanding better access to social media.

French mobile phone company SFR implemented ActiveNetworker from Jobpartners to support its new social network. My SFR comprises a company blog, a central space for discussion, and the ability to build profiles that allow employees to share information on career progress, learning and development and aspirations. They can also join groups of interest … ActiveNetworker has been well received and SFR is averaging 80,000 visits per week from the 10,000 employees that are using it.

Dave Wilkins at Learn.com, describes the case at ACE Hardware in which the company set up a web-based social learning platform for its 4,600 independent hardware dealers to share and seek advice. They were able to look for new sales leads, find rarely used items through the community and share merchandising display strategies. This social learning community strategy resulted in a 500% return on investment in just six months.

Cristóbal Conde, CEO of SunGard, a software and IT services company, was recently interviewed in the New York Times. He discussed how he has flattened the company’s hierarchy as a way of dealing with the globalization of the company. One important social communication tool at SunGard is Yammer, a micro-blogging platform similar to Twitter but used internally. NYT: “What kind of things do you write on Yammer?

I try to see a client every day, and because of my title I get to see more senior people. And so then they’ll tell me things — you know, what are their biggest problems, what are their biggest issues, what are their biggest bets. All this information is incredibly valuable. Now, what could I do with that? I’m not going to send that out in a broadcast voice mail to everyemployee. I’m not even going to write a long e-mail about it to every employee, because even that is almost too formal. But I can write five lines on Yammer, which is about all it takes.
A free flow of information is an incredible tool because I can tell people, “Look, this is one of our largest clients, and the C.E.O. just told me his top three priorities are X, Y and Z. Think about them.”

The Ford Motor Company has used social media for learning, beginning with SyncMyRide, and now integrating it as a way to connect customers and the company.

Ford’s intention is to consider how social media can inform the company as a whole, rather than judging its efforts by the criteria of one department and those “holistic” lessons filter up and down through the company, says Monty [head of social media]y. That includes the company’s executive board and goes as far as putting up senior execs for online Q&As through Twitter and on the corporate Facebook page. “There is a healthy respect for [social media] and how we participate in it. Two-way dialogue is healthy for a company like Ford, and we’ve grown as a result of having participated in it,” says Farley [Chief Communications Officer]. At some point, as executives grow in seniority, they tend to become “isolated from reality,” adds Monty. Making the Ford board aware of and engaged with social conversations counters that isolation. “When [CEO Alan Mulally] says we are making the cars people want, well, how do we know unless we are listening?” asks Monty.

A business imperative

Deloitte’s Shift Index of 2010 highlights the challenges facing several industries today, that of declining return on assets and the need for innovation. One recommendation is to enable knowledge flows, a key benefit of social learning:

Knowledge flows – which occur in any social, fluid environment where learning and collaboration can take place – are quickly becoming one of the most crucial sources of value creation. Facebook, Twitter, LinkedIn, and other social media foster them, as do virtual communities and online discussion forums and companies situated near one another, working on similar problems.

One of the great things about web social media is that they are for the most part free. Experimentation does not require an enterprise-wide software deployment strategy at the onset. As Seth Godin, marketing and branding expert, says:

You guessed it: new media is largely free. So why teach it in school as if it were a scary theory? Why encourage people to be afraid? Just do it. Build your own platform. Appear in the places that seem productive or interesting or challenging or fun. Experiment quietly, figure out what works, do it more. No need to be a dilettante, and certainly you shouldn’t spread yourself too thin or quit at the first sign of failure… but… quit waiting for the right answer.

Our social networks have a greater influence on us than we think. Nicholas Christakis & James Fowler explain the latest research in great detail in the book, Connected: The surprising power of our social networks and how they shape our lives. Robin Hanson, of OvercomingBias.com, shows that we seldom change our behaviour based solely on getting new information. “People don’t believe something works until they’ve seen it work in something pretty close to their situation. A media story about something far away just doesn’t say much.” Again, social learning is about getting things done in networks.

Getting started

According to Rebecca Ferguson at The Open University in the UK, social learning can take place when people:

  • clarify their intention–learning rather than browsing
  • ground their learning – by defining their question or problem
  • engage in focused conversations – increasing their understanding of the available resources.

Following the process explained earlier:

Listen: The first step in social learning is paying attention and watching what others are doing. Finding trusted sources of information is very important. Hearing what others are doing and connecting to them with social media such as Twitter or blogs increases the chances of accidental and serendipitous learning. For example, one can follow conversations on Twitter by searching for “hashtags”. Typing “#PKM” may show current conversations on personal knowledge management.

Converse: By engaging in conversations and providing valuable information to others one becomes part of professional networks. Many experts are willing to help those new to the field but newcomers first must say what they don’t know.

Co-create: Over time one can engage more in co-operative activities, such as adding comments to a blog post or extending the thought in an article or discussion thread. For many people used to traditional work, working transparently in the open takes some time to get to used to.

Formalize & Share: Writing professional journals or lessons learnt can ingrain the important process of formalizing aspects of social learning. Sharing with others, internally or externally, over time becomes part of a normal daily work flow.

As our work environments become more complex due to the speed of information transmission via ubiquitous networks, we need to adopt more flexible and less mechanistic processes to get work done. Workers have many more connections, to information and people, than ever before. But the ability to deal with complexity lies in our minds, not our artificial organizational structures. In order to free our minds for complex work, we need to simplify our organizational structures.

According to the authors of the book Getting to Maybe, in complex environments:

Rigid protocols are counter-productive

There is an uncertainty of outcomes in much of our work

We cannot separate parts from the whole

Success is not a fixed address

This is the next evolution of social enterprise.

Acknowledgements

Many of the thoughts here were developed collaboratively with my colleagues as we shared ideas through our blogs and other online media:

Jay Cross JayCross.com
Jane Hart C4LPT.com
Jon Husband Wirearchy.com
Charles Jennings Duntroon.com
Clark Quinn Quinnovation.com

The latter half of this article was written collaboratively with: Thierry deBaillon deBaillon.com

Leave the cookie-cutters at the bakery

It seems that everybody wants an easy solution. They want best practices and case studies they can copy. They don’t want to do the hard work of learning for themselves. They want a cookie-cutter solution.

Well there aren’t any.

Case studies abound in business and many sell for a significant amount. Other than for general education, they’re rather useless. Each organization’s situation is not only different, it’s changing. Case studies and best practices in business are like the arbitrary subjects in our schools. They’re easy to package but don’t transfer well into real life.

Few managers ask the tough questions, like what are the underlying assumptions of how we do business and do they make sense? Are any of our practices self-defeating?

Complex problems require require different thinking. Once again, I’d like to refer to the book,  Getting to Maybe. The authors say that in complex environments:

  • Rigid protocols are counter-productive
  • There is an uncertainty of outcomes in much of our work
  • We cannot separate parts from the whole
  • Success is not a fixed address [what I call perpetual Beta]

Rigid protocols are prescriptive and tell you what to do. For dealing with complex systems, we need to make sense of the data and THEN figure out what to do, as Dave Snowden explains in this video.

We conduct safe-fail experiments. We don’t do fail-safe design. If an experiment succeeds, we amplify it. If an experiment fails, we dampen it.

The problem with best practices is they presume simplicity and this can cause the organization to fall off the cliff into chaos. Beware the cookie-cutter salesman!

The next time you pick up a report on best practices, ask yourself:

  • Has anything changed since this report was written?
  • How is my organization different from these?
  • Who stands to gain from the report?

Many best practices are self-evident. They’ve worked for years and address relatively simple systems. But the business issues that consume us are most likely complex. Instead of looking for best practices, take that time and money and invest in an experiment (a probe).

Perpetual Beta is an attitude toward learning and working. It is accepting that we’ll never get to the final release and our learning will never stabilize. Perpetual Beta is affirming to principles and actually committing to do something, while remaining open to change. But most of all, it’s actually doing something.

Life in Perpetual Beta – Director's Cut


You read this blog, why not see the movie by the same name? [I have no affiliation with the film, though I like the title and enjoyed it]

Life in perpetual Beta – Director’s Cut is now available for purchase. Produced by Melissa Pierce @melissapierce and released this month, the documentary covers the effects of social media and the always-on Web on many facets of our lives. It includes interviews with Seth Godin, Biz Stone, Gary Vaynerchuk, Jason Fried, Liz Strauss and many others.

Life in Perpetual Beta is a documentary film about the ways in which technology has/is/will change the ways in which we think about ourselves as individuals and a society. It is exploring the cultural shift that technology creates as it enables people to live more passionate, less planned lives. Life in Perpetual Beta was made by the same principles it explores, all aspects of the film were crowdsourced on social networks, from who to interview, what to ask, camera crews and how to pay for production. Life in Perpetual Beta will inspire you to believe that with a little faith in humanity and help from the internet, anything is possible.

Check out the movie’s website.

There are a lot of interesting stories and perspectives in this video. No answers, but many lenses to see our mixed-up world and how perpetual Beta is becoming the norm.

“There’s no map” – “You have to be open” – “Authenticity is obvious” – “Everybody is in the design business” – “You can change your mind” – “You have to know where you are now and plan forward from that”

Note: The video is only available for purchase in the USA, though you can watch it in the screening room.

Embrace chaos

When I discussed Emergent Value, some very good comments ensued, from Jon Husband, Gordon Ross, Peg Boyles, Ollie Gardener and Monika Hardy. This image was my first attempt to show how real value creation happens at the edge of organizations and requires different management and communications practices. Social networks, collaboration and cooperation must be the norm when dealing with complex or chaotic situations.

Jon Husband commented on my post with a suggested wirearchy framework for implementation:

– Identify a purpose (this is what may or will be emerging in chaotic activities)
– Identify and enroll the skills, motivations and personalities necessary to address the purpose in a constructive and/or creation-of-value way (typically, within one or more social networks).
– Identify and create the infrastructure for effective and constructive communication and collaboration (the web services and social tools that are increasingly commonplace and free or inexpensive)
– Open the infrastructure to the “crowd of interest” on the web (unless it is a commercial endeavour on the part of a now-grouping of people, as in a consulting group that emerges from peoples’ interactions) .. it can be participative social media marketing on the part of companies, or advocacy and activist dynamics on the part of not-for-profits
– Create practical metrics that a group or network actually understand and believe in, and refine as the networked wirearchy grows, sustains or wanes.
– Refine, adjust, adapt (it’s critical to ensure social ‘hygiene’ and seek, then instill ways of building and sustaining trust)

Start with Purpose > People > Platform then open it up to Network > Metrics > Community.

Ollie Gardener noted that, “The wirearchy of connections need to form not just to meet the collective needs/goals, but to support people’s independent work both within and across company boundaries (the work that we do in parallel).” This is high-value work/learning on the edge, where life is complex and chaotic. It’s from the periphery of a network, where it is less homogenous, that we get diversity and innovation. This is where individuals and organizations have to go to continue learning and developing.

As Seely Brown, Hagel and Davison noted two years ago in How to Bring the Core to the Edge:

In today’s fast-moving, chaotic world, edges are beginning to take on greater meaning. Not only in their ability to help us recognize new ideas but, perhaps more importantly, in the power they give us to escape the old ones.

I think the edge will be where almost all high value work gets done in organizations. Core activities will be increasingly automated or outsourced. Most of the people in an organization will be on the edge. The core will be managed by very few internal staff. This is a sea change, in my opinion. It means that change and complexity will be the norm in our work. We already see this with increasing numbers of freelancers and contractors. Any work where complexity is not the norm will be of diminishing value.

We need to embrace complexity and chaos, it’s where the future of work lies.

Mapping quality with VNA

Our NetWorkShop on Saturday was a great success and I think everyone left with a better understanding of networks, as well as some ideas for future pursuit. One main message that came through early in the workshop is that you cannot manage a network. That’s probably the biggest barrier to Net Work in most organizations. We also went through a few exercises to describe some of our networks and created value network maps that looked much messier than this one, by Patti Anklam.

Our value network analyses (VNA) looked like this:

One key insight for me is that when analyzing networks we need to describe the connections in detail. It’s not just mapping the nodes, but understanding how they are connected. With Value Network Analysis, one looks at tangible and intangible asset transfers. Process maps often ignore the type of connection and show it as an arrow without describing all the fuzzy relationships. This is a limitation of performance analysis as it often misses the social aspect of organizations.

Incorporating a process map like performance analysis into a value network analysis might give us deeper insights into how an organization and its people actually work. Given that more of our work collaboration happens in networks and uses social media platforms, this is the direction our analysis should go. As Jay Deragon notes, it’s not the outputs that really matter but the quality of the connected processes. I’ve added comments on the need for descriptions of relationships and quality of connections to the performance analysis process map above. It’s just a start.

More photos of our NetWorkShop are on Flickr.

Patti Anklam’s book on Net Work is now available on the Kindle.

Networked Knowledge: out of the ivory tower

Many of the important issues that face our society are complex and require a good knowledge of science. Yesterday, I explained some of what I’ve been trying to learn about nuclear fission and power generation. Understanding how people learn and how we can integrate learning into work is a prime professional interest of mine.

More and more political and personal decisions have to made on some understanding of science. Of interest to me are: nuclear power; hydro-fracking; climate change and uranium mining. Each requires significant knowledge to understand the issues.

Obviously, the public media are not designed to deal with these kinds of issues. They are in the business of selling advertising and getting readership. Some journalists inform but most, including the good ones, can only shine a lens and let us make up our minds. My post yesterday was intended to show that mainstream media were not very good at informing us on complex subjects. I wanted to explain how I was able to get information and put some things together. The self-correcting nature of a blog would ensure that somebody might set me straight or point me to better sources of information. Comments on Twitter indicated that I might be seriously misinformed. I am still learning and will continue to do so. Learning is work and work is learning; that’s life in perpetual Beta.

Image: Ivory Towers by Colin Smith

I’d like to highlight one aspect of how we treat knowledge in our society. Complex scientific fields are the realm of research institutions, like universities.  It takes a long time to get expertise and competence is conferred through peer review. But peer review has its problems and much of the research is published in the language of specialists that only the select few can decipher. There is also little incentive in the highly competitive (for research funding) fields of scientific research to publish widely or to synthesize research so that it is understandable by the average adult. These same adults who vote for politicians who set research funding policies.

The media aren’t informing and the informed aren’t using media.

Part of my responsibility in using networked knowledge is to give back to the community. I believe it’s our part of the social learning contract. The scientific community has the same responsibility. I was asked, “Please, don’t spread this wrong thinking around.” So in return, I ask the scientific community to step up and spread their knowledge. The whole world is trying to understand these issues.

Update: I’m noticing The Guardian and the CS Monitor are providing good in-depth analysis of the nuclear situation in Japan now. Very good to see. Now we just need this on a regular basis for many other complex scientific issues, especially when there’s no urgent crisis.