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Feature

posted 1 Feb 1998 in Volume 1 Issue 4

I only know what I know when I need to know it... Embracing the active management of tacit knowledge

David Snowden, IBM contends in this article that the active management - and by implication, acceptance of the value of - tacit knowledge is a necessary component of any knowledge management program. It may also be a sufficient component for the initiation phase of such a program. It is easier and cheaper to implement in terms of resource and time than many of the more ambitious and investment intensive information systems.

More critically and enigmatically, tacit knowledge projects also force the cultural change and re-channelling of management thought that is necessary to the overall adoption of Knowledge Management by the organisation.

A description is provided of models that have been used to establish this point in client workshops across a diverse range of companies. Some management strategies for the active management of tacit knowledge are also identified. Some early ideas on the use of Knowledge Diaries and associated decision point mapping are also introduced. These practices will be expanded in the sequel to this article.

In the emerging discipline of knowledge management, consultants, companies and academics are creating a body of what I shall, for want of a better term, refer to as sin. Sin, as many us were taught when young, has two dimensions (The Catholic Church got there well before the Boston Consulting Group):

Firstly, at one end of the spectrum are mortal sins, serious matters which lead to damnation - the Chief Knowledge Officer and team get fired and the knowledge program is canned. In contrast we have venial sins which can lead to damnation but can be absolved with suitable penance - the Chief Knowledge Officer gets fired and is replaced by a team of external consultants who necessarily fall into mortal sin, but avoid all responsibility: you chose to eat the apple after all.

Secondly, there are sins of commission which arise from a deliberate and positive decision to undertake a course of action which leads to sin - the Chief Knowledge Officer decides to change all incentives schemes to reward quantitative posting of documents to the Intellectual Capital Management (ICM). These are contrasted with sins of omission in which the sin arises from a failure to act timely -either through inertia, lack of empowerment or whatever - The Chief Knowledge Officer allows professional review of ICM documents to stifle innovation and new thinking.

In the diagram below I have suggested an example of each based on my current experience of what should be concerning organizations undertaking a knowledge program. The danger of it becoming yet another consultancy fad has never being higher than in 1998 with a proliferation of activity reminiscent of the (in retrospect) worst days of business process re-engineering. However, in this article I wish to concentrate on a mortal sin of omission - namely failure to take tacit knowledge seriously at the commencement of a Knowledge Management Program. This is not just a danger to more explicit orientated projects within a program but is also a major missed opportunity for:


1. Creation of early win projects with high tangible value.

2. Organic, rather than mechanistic, achievement of cultural change.

3. Identification and building of communities of competence and/or mutual dependence.

4. Creation of a model for ongoing measurement of change resulting from the knowledge program.

This article is based on some early work with clients and further thinking and plans for engagements planned in 1998. It builds on a diverse set of experiences and the pragmatic tacit knowledge projects suggested are all capable of rapid and low cost implementation. In a sense this article communicates some current learning and hypotheses and invites collaborative participation in the continuation of the work in 1998 and beyond.

It should always be remembered that it has always been easier to define, identify and catalogue sin than goodness. Additionally, the former is often the more attractive on first acquaintance...

Why is tacit knowledge so critical?

The ability to create and use tacit knowledge is one of the great human skills. In day-to-day life and experience we rely on it to a far greater extent than explicit knowledge. However, for an organisation there is no universal answer to the question posed in the title of this section. Each organisation will find its own examples and business goals. The role of the consultant is not to create a dependency on some complex model (a mortal sin of commission) but to enable the discovery and articulation of those goals.

I have found two models to be of particular use in achieving this. One is a common sense taxonomy of tacit knowledge - and associated uses and management control - developed over a series of presentations in support of internal knowledge champions to cynical audiences of middle managers. The other, and the first that I wish to examine, is a learning or knowledge imitation model described by George von Krogh and Johan Roos in one of the most rewarding, if one of the most dense, of the recent publications in this arena.1

Three contexts for knowledge imitation:

1. Co-evolutionary: in which the imitation is both temporally and spatially proximate. Here, I learn by watching, observing, assisting and questioning a colleague in the act of task resolution as it happens - and generally over an extended period of time.

2. Differentiated: where the imitation is temporally differentiated but spatially proximate. Basically this means that I attend a course - it may be bespoke for me, but I observe the task with the benefit of the expert's hindsight - the 'finished task tends to look neatly structured, and task resolution can be linked with a particular stream of actions'.

3. Detached: in this final context the imitation of both temporally and spatially differentiated - basically I get given the manual.

Learning can of course take place across several of these contexts. Neither is there a right or wrong approach to knowledge imitation - each of the contexts are appropriate for different stages in the evolution of knowledge.

I have tested the above model on many audiences over the last year and have received consistent answers to the question: which is the most valuable form of learning and why? Without exception the first is seen as the most valuable - not only as a mechanism for transfer of knowledge, but also as a means of creating new knowledge - either original ideas or evolution of method. The transfer in this case is principally tacit, in the process of learning we move through a curve: starting with an awareness of what we don t know (conscious incompetence); through the hesitant first steps in which assistance and reference back to the expert are necessary; to arrive at the point where we are able to use and develop the knowledge ourselves (unconscious competence).

The first model is front-loaded in terms of time and effort - dangerously it may not transfer knowledge to the organisation as a whole - but is far more efficient and creative in the longer term. The latter models both protect knowledge and provide the potential for more consistent delivery of a skill across multiple projects.

The real point here, in terms of valuing tacit knowledge (which is not to devalue explicit knowledge) lies in von Krogh and Roos's title for the first model - it is co-evolutionary, knowledge is not just transferred, it is grown, altered, enhanced, developed (or occasionally damaged or even lost - evolution needs its failures to ensure its successes). Too many knowledge management projects convey a requirement for neatness and order which contrasts with the complex and often messy environments in which humans most effectively create new knowledge.

A taxonomy of tacit knowledge

I am not attempting here to create an alternative to the common taxonomy of knowledge - How, What, Why, Who - and all the permutations and combinations thereof. However, one of the dangers of these taxonomies is that they do not challenge the common objective assumption of many knowledge projects - namely that all useful knowledge is explicit. Subjectively many of these projects pay lip service to the existence of tacit knowledge but they assume (a mortal sin of omission) that this will somehow be handled in the human space around the ICM system that they are creating. This error has been compounded by over-engineering in some process improvement exercises. As illustrated in the 'T' model (see below) the tacit-explicit dimension of judgement is a question of balance - different situations require different types of knowledge and learning. The asset dimension is about sharing and communication - ICM's can manage the distribution of explicit knowledge but not tacit - although they can be an important enabling tool. Trying to combine the two arrows in a single project will not work.


A better understanding of tacit knowledge can be achieved through a further classification of the tacit-explicit spectrum. Over a series of workshops with single and multiple clients I have observed a tendency to polarise between those who believe that all meaningful tacit knowledge can be made explicit, and those who argue that the process of making something explicit in some way damages or at best alters the knowledge in question. This polarisation can generally be avoided by a simple classification of tacit knowledge illustrated in descending order of intangibility below. Associated with each of these is an illustration of potential use and also of an active management strategy.2

The purpose of this type of classification is simple - once an organisation has articulated (preferably in its own language with its own stories) some variation of this classification then it is possible to set in place programs and management strategies. Tacit knowledge can be very powerful in an Organizational context as a means of making fast, efficient decisions with sparse or incomplete data - i.e. the day-to-day norm of management decision making.

However, to be successfully used within an organisation, the transfer and deployment of tacit knowledge requires clear and proven trust between :

1. Individuals who possess or create tacit knowledge

2. Between the organisation considered as an entity and individuals empowered to exercise judgement.

The latter of these requires active management - it can not be left to chance. It is a top down and bottom up requirement.

The active management of tacit knowledge

The table below illustrates ideas that have arisen from a variety of experiences in different industries. In the sequel to this article I will elaborate some more detailed ideas and thinking in each of the categories. However, none of these are necessarily sufficiently new or different to 'build knowledge intensity'.3 Over the last year we have been experimenting with a novel technique that introduces some of the concepts of tacit knowledge management into an organisation through a knowledgeable way of working rather than an explicit (sic) sales of knowledge management. Applying the principles of knowledge management to tackling established issues in a company is often the only, and often the most effective, way of ensuring the successful adoption of knowledge management program in companies who are suffering from consultancy fatigue.

I only intend to outline the essence of the approach in this article; in the sequel I will provide some illustrations from the experimental work.

Knowledge Diaries4

A variety of tools and techniques have developed to create knowledge or information maps of organizations. Many of these (for example Systems Theory) provide sophisticated models. However there are three problems:

1. They tend to be mechanistic and re-enforce a prejudice that sufficient analysis and information capture can make any knowledge explicit.

2. They tend to dependency cultures, in that their operation requires the constant presence of experienced consultants (mortal sin of commission). Tacit knowledge is not only intangible, but also tends to evolve and change through its exercise. This means that mapping tools must be capable of utilisation by an organizations own staff without the need for expensive tools and training.

3. The most fundamental issue in respect of knowledge management is that I only know what I know when I need to know it.

To get to the essence of tacit knowledge in a community you have to use the co-evolutionary learning context identified earlier - i.e. if you go into the field and get your hands dirty then you see knowledge in action. No one can - or if they can they won't - disclose the nature of their tacit knowledge through a formal interview process.

In order to get close to this we have experimented with the process of getting a sample of decision makers who have a high tacit knowledge content to their decision making, and getting them to keep a diary of the decisions that they make. The form of this diary is to ask four questions of each decision:

1. What information did you use to make this decision?

2. How did you communicate the decision - form and vector?

3. What information would you have liked to have to make a more effective decision?

4. How did you feel about the decision?

Ironically, the latter question has often proved the most valuable. People's feelings about decisions can provide an instrument to classify the nature of knowledge being applied.

Once these diaries are gathered in, a map can be drawn of the flow of information between decision points within an organisation. This also helps identify the cluster points for knowledge and the nature of communities who share knowledge without management intervention - generally communities of mutual dependence - the trust word again.

The value of these information/decision flow models is that they provide a significant contrast with Business Process models. Often the process model will provide an idealised (or explicit) representation of the business. The flow model generally shows up where the real effort is concentrated and the principle focus of the organisation. One of the early assignments using this method illustrates this perfectly - the process model showed a strong customer orientation, the information/decision flow model showed that all the energy of the company was going into managing suppliers and internal processes!

Interestingly, two methods have been used to create the information/decision flow diagrams with similar levels of effectiveness:

1. The diary is kept by a junior (as junior as possible to prevent any threat) who shadows the knowledge worker. In some cases students on vacation assignments have been used. This imitates some of the best features of the mediaeval craft hall.
2. The diaries are created slightly artificially in a succession of cross disciplinary workshops - in which client staff carry out the facilitation.

The first of these is more 'pure' in its result - but takes time. The second is less 'pure'can often create an additional benefit in innovation and process improvement.

One of the main benefits is that the tacit knowledge assets are effectively disclosed tangentially through their association with the more definable decision points.

Looking forward

As stated earlier - it is easier to identify sin than virtue. However there is much good work going on in companies in the area of tacit knowledge management - often unsung as high investment projects more often attract internal and external publicity. In the sequel to this article, I will elaborate the outcomes of the knowledge diary process and provide some insight to the development of craft hall models alluded to above.

David Snowden is at IBM.

1 Georg von Krough and Johan Roos 'Imitation of Knowledge: a Sociology of Knowledge Perspective' in Managing Knowledge: Perspectives on co-operation and competition, Sage Publications, 1996.
2 These examples have been drawn from the collective wisdom of a broad group of colleagues and clients who have participated in workshops - their commitment and openness is hereby acknowledged.
3 Acknowledgements to Larry Prusak, who coined the phrase that 'intuition is compressed experience'.
4 The basic techniques in this approach were developed by Nicholas Pow from the Knowledge and Differentiation Program in IBM Global Services.


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