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Feature

posted 1 Jan 1998 in Volume 1 Issue 3

Managing for Knowledge: Managing for Growth

Richard Cross , Managing Partner, Xerox Quality Services examines the differences between information and knowledge and focuses on the different initiatives taken by Xerox to create an atmosphere where knowledge can thrive.

Xerox has both a theoretical and a practical interest in Knowledge Management. In the early 1980's our Palo Alto Research Centre (PARC) brought together anthropologists, social and behavioural scientists to study work practices along with computer scientists and engineers. Later in 1987 the Institute for Research on Learning (IRL) was founded to study how people learned. From this leading edge research we have derived an understanding of work practices and an appreciation of the social components of learning.

At a pragmatic level our strong interest in knowledge is an outcome of our long term focus on the document and the document's crucial role in knowledge intensive work. Firstly we believe that, as Peter Drucker has said, 'knowledge and the productivity of knowledge work is the key resource of the new world economy'. In this respect, in the United States, for example, knowledge workers make up about 35 per cent of the work force, while knowledge-intensive companies generated nearly forty five per cent of the growth in new employment in the last 10 years. For Xerox, interest in knowledge management is an extension of quality and business process re-engineering. As Geoffrey Colvin of Fortune has pointed out 'Knowledge has become the scarce resource constraining most businesses'.

Secondly, as 'The Document Company' Xerox defines documents as any information structured for use by people - regardless of form, content or media. And in this multi-dimensional definition our own internal research and external experience shows that documents are core to organisational productivity. Recently we mapped out all of the Xerox major value chains in a large part of our organisation and found some 330 unique business processes. In turn they generated some 3,200 inputs and outputs to those processes. We found that over 90% of these process inputs/outputs were documents and that only 10% of the inputs/outputs represented raw materials, finished products, people trained etc. in the value chain. Documents are a dominant link in the value chain of most, particularly service organisations.

Our own experience then suggests that documents are the widely used vehicle for articulating knowledge. Over the last eighteen months three significant studies (partially sponsored by Xerox), were conducted by the American Productivity and Quality Centre in Houston, TX and Ernst & Young in Cambridge, MA, and in the summer of this year by the Research Centre at the Cranfield School of Management in the UK. Out of these studies and knowledge worker research conducted by Xerox a picture is beginning to emerge showing the main areas of interest, focus and challenges for the future.

We call the ten areas of focus we have identified as the emerging Knowledge Domains for Knowledge Management (See Figure 1).


Figure 1 - Knowledge domains

These Knowledge Domains range from the need to rapidly share and transfer Knowledge - internally and externally - through to the goals of putting a value and measure on Knowledge and to understand the issues associated with leveraging intellectual capital.

The domains also show the link between Knowledge Management, business strategy and an organisation's core competencies. They also emphasise that Knowledge Management takes people into account in a big way; changing technology is the easier part of the problem and changing people's behaviour the hardest. This is further borne out by our most recent European survey with Cranfield where people and cultural issues are both the means and key inhibitors to sharing and exploiting knowledge.

In these domains there is a difference between data, knowledge and information (See Figure 2).


Figure 2 - Knowledge is different from data/information

Data is a commodity: computers produce far more than we can utilise, information which makes meaning out of data has also become a commodity. Knowledge, on the other hand, is about taking action.

Information becomes knowledge through a social process of shared understanding and sense making. Information is 'converted' into knowledge by acquiring attributes developed through social interaction, as shown below under Knowledge Attributes.

Knowledge Attributes

1. Relevance
Timely availability and filtering according to purpose and priority.


2. Authenticity
Trust in the source and ability to check its validity


3. Context
Understanding of related events, alternatives and trade-offs


4. Experience
Relation to past events in the personal or organisational life that reinforces value, judgement, familiarity and gut feelings.


In summary, for us knowledge involves putting information into productive use. Managing for knowledge as a foundation requires an understanding of how people work - and included in this how they use documents. Information is converted into knowledge through a social process. Managing knowledge starts with stressing the importance of people, their work practices and their work culture before the application of technology.

Knowledge management is therefore different from Information Management. Whilst it may be more difficult to manage due to the 'social' nature of its origins, organisations should and must (if they want to survive) create an environment for knowledge to thrive.

In this context our internal definition is as follows: 

'Knowledge Management is the discipline of creating a thriving work and learning environment that fosters the continuous creation, aggregation, use and re-use of both organisational and personal knowledge in the pursuit of new business value...'

From our Cranfield study we also know that nearly 70 per cent of respondents see knowledge management as: 'a business focused approach: the collection of processes that govern the creation, dissemination, and utilisation of knowledge to fulfil organisational objectives.'

Within Xerox we have then refined the domains into three distinct, yet interdependent processes critical to creating a knowledge environment as shown in Figure 4.


Figure 4

Knowledge Creation

At Xerox we have a number of initiatives underway in our research and development area. We recognise the need to accelerate the rate of knowledge creation and have recently established with our partner Fuji Xerox a Distinguished Professorship in Knowledge at UC Berkeley School of Business. Professor Nonaka, one of Japan's foremost authorities on knowledge, is the first to hold this appointment.

Knowledge Aggregation

The systematic accumulation of knowledge includes the expertise and skills of our people, the business processes and culture that values and support knowledge work. It also represents the capacity of an organisation to sustain competitive advantage and covers explicit knowledge such as documents, the intellectual properties that represent our patents, license agreements and many more.

Knowledge Use/ Reuse

This is one of the most frequent knowledge management projects within Xerox, as well as with our customers. It involves discovering and sharing what the organisation knows, - best practices within the business for example. To do this requires an emphasis on the infrastructure and management environment to break down barriers to knowledge sharing. As an example, in 1993 we completed a project called Team C in Europe which spread best practices amongst our sales force. By the end of 1994 the combined incremental sales growth was estimated to be $200 million.

To manage for knowledge requires a holistic business approach and we use what we call the Xerox Management Model to structure our business. Whilst it is early days in the knowledge management field, we further maintain that four broad capabilities need to be developed and integrated if an organisation is to successfully manage for knowledge.

Firstly there is a requirement for 'libraries', which is a two fold challenge - many of our best ideas and experiences are rarely surfaced and, if they are known, they are too difficult to find. Knowledge bases need to be digitised for coherency and accessibility: Here technology can help. The library of Congress in the US, for example, has begun to digitise and put on-line over 5 million documents by the year 2000.

A second foundation block are the communities of knowledge workers. These informed networks are where knowledge assets can be mined most effectively. They are not the same as teams and workgroups, although with the trend towards self managed work teams there are increasingly characteristics in common.

Amberweb

A virtual workspace environment called Amberweb was developed within the Xerox Wilson Centre for Research and Technology. The system was designed to help scientists share files electronically with no central administration. Anyone could create a workspace and open an account on the system. Communities of knowledge workers collaborated within this virtual shared environment.

This model quickly spread beyond the research centre. 18 months on, the number of users is over 10,000 and climbing. After successful use internally the company introduced it as a product called DocuShare in April 1997. DocuShare enables shared access to documents, no matter what platform or format used.

Knowledge Sharing: The Eureka Project Experience

The Eureka project was first started as a collaboration between Xerox France and researchers at PARC. The project was concerned with enabling service engineers to capture and share the knowledge amassed through experience. In part the project was inspired through a seminal PARC study that revealed how technicians used 'war stories' to teach other to diagnose and fix machines. Eureka built on this research to support engineers in sharing those stories electronically in the form of 'tips'.

The impetus behind Eureka was the realisation that service manuals were outdated almost as soon as they were printed. PARC researchers worked closely with French service engineers to design Eureka. Essentially it is a technical and social infrastructure for technicians to build and share their service repair knowledge.

It is the social rather than technical aspects of Eureka that make it unique. The practitioners themselves are involved in co-developing work practices, processes and technologies. The Community based design process provides the service engineers with a stake in sustaining the success of the system.

Rather than financial incentives, Eureka relies on recognition to motivate workers to share their knowledge, contribute ideas and help build and maintain the community knowledge base.

Technicians have grown to use the system at the rate of more than 5,000 tips per month, with more than 15 per cent authorised as validated tips. So far Eureka has been rolled out across Xerox with a 10 per cent improvement in costs.

Navigation

This third foundation concerns how knowledge can be described, categorised, mapped and accessed. This requires a navigation system, a road map of a firm's knowledge assets - from individual expertise, communities of practice through to intellectual properties and customer as well as competitive databases - or in the future docubases!

Flow

Finally, the fourth element is flow. Knowledge expands and is of use when it is shared. We use the analogy of a pump to describe the connections between knowledge providers and knowledge seekers. However, this pump needs to be sensitive to prevent overdose - overload. The primary idea underpinning knowledge flow is a system able to cater to the requirements of users and providers and develop appropriate profiles.

Within Europe at Xerox's Grenoble laboratory researchers are working to ensure that knowledge management delivers valuable information and business results. The ultimate is the knowledge pump with the capability to integrate all information stored in a company and turn data into knowledge.


The Current State in Europe

Currently, then, as epitomised by our studies and our own practice business is focusing heavily on capturing, using and reusing as well as distributing knowledge. Indeed, according to our Cranfield survey, over the next three years European businesses plan to increase their knowledge across all areas. The demand for business knowledge is on the rise.

Knowledge management as a people and process issue is also underlined in this survey. Conventional need-to- know cultures are disappearing. Ninety one per cent of those surveyed believed it requires people to share what they know with others in the organisation. The role of Information Technology is seen as important, with the corporate intranet as the most significant growth area.

Overall, to increase the use of knowledge means installing more formal processes to break down the inertia between people, groups and whole cultures. Almost 90 per cent in the survey estimated they had some formal mechanism for capturing knowledge already in place but - 40% admitted they did not protect their key knowledge assets.

Finally, with respect to their own organisation, about 84% agreed that knowledge is a key power determinant.

To a great extent, in the organisation of the future, it is not just who you know but what you know. In this respect, documents and their use form a part of any knowledge initiative; the document is the network. However, as our CEO says, the soft stuff is the hard stuff. This calls for a dramatically new model of organisation and leadership. Technology can be copied, products cloned - but, for now, people and knowledge cannot.

Richard Cross is Managing Partner at Xerox Quality Services, part of Xerox Professional Document Services. He can be contacted at:

richard_cross.rxl@eur.xerox.com

Bibliography

1.Information Strategy, Volume 2 No. 7, September 1997, The Facts about Knowledge.

2.Xerox Professional Document Services (XPDS) News Issue 11 May 1997.


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