Lecture 4
Knowledge Creation
Dr Rajeev K Bali
M34SOR Knowledge Management
Introduction
Knowledge Creation Sharing impediments Knowledge Architecture Expert systems Layers Summary
Knowledge Creation
KM is not a technology; it is an activity enabled by technology and produced by people An alternative way of creating knowledge is via teamwork A team compares job experience to job outcometranslates experience into knowledge Such newly acquired knowledge is carried to the next job Maturation over time with a specific job turns experience into expertise
Knowledge transfer via teams
Initial Initial knowledge knowledge Outcome is Outcome is realised realised Team performs Team performs a job a job
Outcome Outcome compared to compared to action action
New knowledge New knowledge reusable by same reusable by same team on next job team on next job New experience/ New experience/ knowledge gained knowledge gained
Knowledge Knowledge captured and captured and codified in a codified in a form usable by form usable by others others
Impediments to Knowledge Sharing
Personality Attitude based on mutual trust Vocational reinforcers Work norms
Impediments to Knowledge sharing
Compensation Recognition Ability utilisation Creativity Good work environment Autonomy Job security Moral values Advancement Variety Achievement Independence Social status
Personality
Organisational culture
Vocational reinforcers
Knowledge sharing
Attitude Company strategies and policies
Work Norms
Nonakas Model
Tacit to tacit communication (Socialisation) Experience among people in face-to-face meetings Tacit to explicit communication (Externalisation) Articulation among people through dialogue Explicit to explicit communication (Communication) Best supported by technology Explicit to tacit communication (Internalisation) Taking explicit knowledge and deducing new ideas
Nonakas Model Knowledge Spiral
Clark, 2004
Knowledge Architecture
People core Evaluate current documents people use Identify knowledge centers The technical core The total technology required to operate the knowledge environment
People Content
Technology
Technical Layer of the KM System
1
User Interface
(Web browser software installed on each users PC)
Authorised access control
(e.g., security, passwords, firewalls, authentication)
Collaborative intelligence and filtering
(intelligent agents, network mining, customisation, personalisation)
Knowledge-enabling applications
(customised applications, skills directories, videoconferencing, decision support systems,
group decision support systems tools)
Transport
(e-mail, Internet/Web site, TCP/IP protocol to manage traffic flow)
Middleware
(specialised software for network management, security, etc.)
The Physical Layer
(repositories, cables)
Databases
Legacy applications (e.g., payroll)
Groupware (document exchange, collaboration)
Data warehousing (data cleansing, data mining)
Identifying Knowledge Content Centres
. Job openings . Benefits . Competition data . Sales volume . Leader sales information Human Resources Sales
. Strategies . Tools .R&D . Advertising
Customer Service Marketing . Complaint rate . Satisfaction information
The User Interface Layer
Tacit knowledge should be made available face-to-face, e-mail, or by other media User interface design focuses on: consistency relevancy visual clarity navigation usability
Technical Access Layer
Intranet The internal network of communication systems modified around the Internet Extranet An intranet with extensions that allow clearly identified customers or suppliers to reach company-related technical educational information
Technical Access Layer
Internet
Cloud
Intranet
Extranet
Company employees Company employees Suppliers Suppliers Vendors Vendors Partners Partners Customers Customers
PUBLIC PUBLIC AT LARGE AT LARGE
News/events Marketing E-commerce Careers
Human resource information Production information Sales information Strategic plans
Product information Sales information Collaboration/cooperation
Features/Limitations of Firewalls
Protects against E-mail services known to be problems Unauthorised interactive log-ins from outside the firm Undesirable material coming into or leaving the firm Unauthorised sensitive information leaving the firm Limitations include Attacks that do not go through the firewall Weak security policies Viruses on floppy disks Traitors or disgruntled employees
Collaborative Intelligence and Filtering Layer
Provides personalised views based on stored knowledge Reduces search time for information Intelligent agents search across servers to find the information requested by the client (user) Intelligent agents arrange meetings, pay bills, and even wander through virtual shopping malls, suggesting gifts and so on
Criteria for an effective Collaborative Layer
Security - very critical Portability across platforms Integration with existing systems Scalability, flexibility, and ease of use
Expert Systems
Emulate the reasoning of a human expert in a problem domain Can help a person become wiser, not just better informed Components include Justifier: Inference engine: Scheduler: explains how and why an answer is given problem-solving mechanism for reasoning and inferencing coordinates and controls rule processing
Knowledge-Enabling Application Layer
Often referred to as value-added layer Creates a competitive edge for the learning organisation Provides knowledge bases, discussion databases, sales force automation tools, imaging tools, etc. Ultimate goal: show how knowledge sharing could improve the lot of employees
Transport Layer
Most technical layer to implement Ensures that the company will become a network of relationships Includes LANs, WANs, intranets, extranets, and the Internet Considers multimedia, URLs, graphics, connectivity speeds, and bandwidths
Middleware Layer
Focus on interfacing with legacy systems and programs residing on other platforms Designer should address databases and applications with which KM system interfaces Contains a cluster of programs to provide connections between legacy applications and existing systems Makes it possible to connect between old and new data formats
Repositories Layer
Bottom layer in the KM architecture Represents the physical layer where repositories are installed Includes intelligent data warehouses, legacy applications, operational databases, and special applications for security and traffic management
Build In-House, Buy, or Outsource?
Trend is toward ready-to-use, generalised software packages Outsourcing is also a trend, releasing technological design to outsiders Regardless of choice, it is important to set criteria for the selection Question of who owns the KM system should be seriously considered
Summary
Linking management to technical aspects Nonakas SECI model Expert systems Layers coming together
