British Computer Society Sociotechnical Group - London Lectures

University of Westminster 2001/2

Socio-Technical Thinking:
Views from the Firing Line

Leela Damodaran

Professor of Participative Design and Change Management

Loughborough University

Overview of presentation

Basic principles

Two case studies of knowledge management from a socio-technical perspective

Conclusions

Key challenges to socio-technical systems thinking

Where we are coming from:

Basic Principles/assumptions*:

To improve performance of work systems requires research as well as effective change processes

Research to create new knowledge must be complimented by activity to enhance the workplace such that it provides a rewarding and satisfying experience (Quality of Working Life)

Good practice offers a means for developing better behavioural theory

Validity/robustness of behavioural theories can only be enhanced through application in complex, real-world situations

* Derived from the Tavistock approaches of the 1940s and 50s

Case study A

The context

 

Global R&D organisation

Large scale change - ‘Breakthrough Performance’

Technological sophistication

Need to commercially exploit all knowledge

Increasing move to distributed team working (DTW)

Information management improvement Project

but …. reality:

1000 users registered

25 per day log on regularly

there are less than 100 active R&D users

a further 100 active customer services users

Key barriers to usage

Lack of user friendly interface

Shortfall in functionality

Unreliability of system

Response time slow

Inadequate support and training

Absence of added value

Cultural, policy & practice issues

Case study B

The Context

Service organisation in the UK

Facing competition for the first time

Staff in demand in labour market

Management fears about information/knowledge loss

Need to guard intellectual capital.

Concern to improve version control

Clear desk policy introduced to achieve secure central storage of information

What they told us

Aware of Clear Desk Policy (CDP)

Recognise potential benefits of CDP

Inadequate consultation / involvement in planning

Lack of preparation for new ways of working

Concerns about reduced individual work performance

Perceived negative impact on customer service

The gap

The Vision

integrated solutions

widely used

customer service

sharing know-how

foundation for DTW

key information store

secure

added value

The Reality

file management

pockets of use

useful service tool

profit centre needs

tool for DTW

some but little backdated

security adds complexity

needs more investment

Approaches to knowledge management

TECHNOLOGY PUSH

System implementation driven

Imposed

User may not be committed

Faster to get action, slower to get benefits

Centrally driven procedures and guidelines

Business as usual

TECHNOLOGY PULL

Driven by real user needs

Ownership (learning)

User commitment to making it work

Slower to get action, quicker to get benefits

Supported to develop tailored business solution

Illustrates culture change

Provides ‘wins’ to celebrate changing attitudes

How to cross the gap?
solution - an integrated approach

Technical Factors

System reliability

Functionality

Interface

Migration

Guidelines and procedures

Human/Social Factors

Usability

Training and Development

Change Management

Communication

Boundary Conditions

Commercial knowledge management dilemmas: socio-technical issues

Knowledge Access v Competency to use

Validity v Learning

Free access v Value adding

FAQ’s level v Integrated solutions

Not invented here v Improvement

Peer challenge v Invisible access

Unrestricted Access v Leakage

Information overload v Managed Knowledge

Free use v Commercial

Key building blocks

Share the corporate vision of benefits of knowledge sharing

Elicit a local and individual vision

Agree how to achieve a knowledge sharing culture

Implement a programme to achieve the necessary changes

Agree and implement a communications strategy re.change

Ensure high usability of systems interface

Encourage early identification of organisational barriers

Monitor the impact of systems and evolve as appropriate

Institutionalise values of knowledge sharing

Conclusion

80% of all technology will be replaced within the next decade (source: Directorate General of European Commission, 1998)

Continuity will therefore be provided not by technology, but by human beings and human capacity to learn and apply knowledge

Planned change at the macro-level, underpinned by state of the art knowledge of human learning and transition, must replace project centrism

Challenge for socio-technical systems practitioners and theorists

How to incorporate processes for transfer, human learning and transition with every socio-technical sub-system

Who did we speak to?

Data collected from:

Management Team

Specialist Users

Information System Support

Who did we speak to?

CEO

Departmental managers

Individual users

What did we do?

Collected and analysed data to:

Understand organisational context

Review information management needs

Identify extent to which current system meets needs

Learn from the experiences - gain feedback

Identify critical success factors

Critical success factors for knowledge management in case studies A and B

Driven from the top

Take 2 years not 10 years

Integrated with other initiatives

Institutionalised

Clear benefit to individuals and teams

Easy and quick to use

Appropriate training and communication

Critical mass of data

Built on culture of trust