COM910M2 Knowledge Management - PowerPoint PPT Presentation

1 / 77
About This Presentation
Title:

COM910M2 Knowledge Management

Description:

Eliminate Re-invention of the Wheel' Record lessons learned' not glory stories' ... Four key areas: Data Mining. Intelligent Support Systems. Knowledge-based ... – PowerPoint PPT presentation

Number of Views:66
Avg rating:3.0/5.0
Slides: 78
Provided by: infm3
Category:

less

Transcript and Presenter's Notes

Title: COM910M2 Knowledge Management


1
COM910M2 Knowledge Management
  • Revision

2
Lecture 1The Relevance of Management Research
3
Characteristics of the Subject Area
  • Relatively recent interest in the area
  • Interdisciplinary nature - lack of agreement with
    regard to definition
  • Academic and practitioner interest
  • Different perceptions

4
The Nature of Management Research
  • Soft - heterogeneous nature of field
  • Applied - building knowledge which documents,
    codifies and articulates a problem attempt to
    understand improve practice
  • Divergent - wide range of ontological
    epistemological positions represented
  • Rural - broad intellectual territory

5
Management Research - its relevance?
  • Users believe that research can benefit them - do
    not consider many topics as focusing on key
    issues
  • Research does not contribute to their managerial
    role - perceived need for prescriptive statements
  • Lack of awareness of the results of research

6
Valuable Knowledge
  • What makes knowledge valuable to organisations
    is ultimately the ability to make better
    decisions and action taken on the basis of
    knowledge. If knowledge doesnt improve decision
    making, then whats the point? (Davenport
    Prusak, 1998)
  • If the duty of the intellectual in society is to
    make a difference, the management research
    community has a long way to go to realize its
    potential (Pettigrew, 2001)

7
The Reflective Practitioner
  • Learning and Wisdom (Montaigne)
  • Learning - logic, etymology, grammar, Latin and
    Greek
  • Wisdom - a far broader, more elusive and more
    valuable kind of knowledge, everything that could
    help a person to live well

8
Lecture 2The Learning Organisation
9
Environmental Progression
  • Science and Technology
  • Global Competition
  • Changing Aspirations of the workforce
  • Increasing educational aims of developing
    countries
  • Decrease in the life expectancy of an industrial
    enterprise
  • Reduction in cycle times

10
BPR Objectives
  • Organisations must think in terms of
    comprehensive processes
  • Processes needed to be conceptualised as
    complete, comprehensive entities that stretched
    from initial order to the delivery of the product
  • I.T. needed to be used to integrate these
    comprehensive processes

11
BPR Shortsighted
  • Theorists underestimated difficulties of
    integrating corporate systems with I.T.
    technologies available at that time
  • Failed to appreciate problems involved in scaling
    up some of the solutions they recommended
  • People resisted major change
  • Costs involved

12
The Learning Organisation
  • Where people continually expand their
    capability to create the results they truly
    desire, where new and expansive patterns of
    thinking are nurtured, where collective
    aspiration is set free, and where people are
    continually learning to learn together
  • Senge, 1990

13
The Learning Company
  • an organisation which facilitates the learning
    of all its members and continuously transforms
    itself
  • Pedler et al, 1988
  • an organisation that facilitates the learning
    of all its members and consciously transforms
    itself and its context
  • Pedler et al, 1997

14
Disciplines of the Learning Organisation
  • Systems Thinking
  • Personal Mastery
  • Mental Models
  • Building Shared Vision
  • Team Building

15
Focus
  • Efficiency
  • Improving efficiency (closing gaps)
  • Productivity
  • Lower costs, higher revenues
  • Short-term, operative
  • Proficiency
  • Culture shift (learning org)
  • Processual
  • Changes in behaviour attitudes
  • Long-term, strategic

16
Lecture 3 Introduction to Knowledge
Management
17
Why Knowledge Management?
  • Most organisations do not manage their knowledge
    well
  • They lose knowledge through downsizing and staff
    turnover
  • They buy in expertise they already possess
  • They do not know what they know

18
The KM Journey
  • Knowledge Management is a journey. It is not
    new. Managing knowledge has taken place ever
    since a cave person passed a tool to their
    partner.
  • Whats different today is that were starting to
    develop a language to talk about this fuzzy and
    intangible stuff. We need to develop visual
    frameworks to help people build this language.
    If we can visualise, we can measure and if we can
    measure, we can manage
  • Gordon Petrash, Dow Chemical

19
Knowledge Hierarchy
  • Wisdom
  • Knowledge
  • Information
  • Data

20
  • Knowledge Management is the process of creating
    new mindsets, models, skills and technologies
    that capture, organise and employ information,
    experience and knowledge application, to gain
    collective expertise across the organisation,
    which in turn facilitates competitive advantage
  • Moffett, 2000

21
Knowledge Management Models
  • 3 broad categories of KM models
  • Knowledge Category Models
  • Social Constructionist Model
  • Intellectual Capital Models

22
MeCTIP Model (Moffett, 2001)
External
Internal
Process
P3
Orgnal Climate
Technical
P1
P4
Macro Environment
P5
P6
Internal Technical Climate
Informational
P2
P7
P8
Personal
Organisation Environment
P9
23
Lecture 4 The Human Factor
24
Two ways of approaching KM
  • As an ASSET
  • Knowledge can be extracted from wherever it
    resides and put onto a system as a discrete asset
    to be managed
  • As a way of DOING things
  • Using knowledge as a means of judgement - this
    approach has the most value and derives the
    fastest benefits, however this approach is more
    difficult to achieve

25
Knowledge-based Organisational Structure
  • Scientific and Social knowledge recognised
  • Consider themselves as brokers of knowledge
  • Emphasise decentralisation and virtualisation
  • Exhibit network structure
  • Flexible boundaries

26
Organisation Strategy
  • Managers need to reject the temptation to look
    for one dimensional external answers and need to
    look within the organisation where the answers
    lie in learning and insight, skills and
    perspectives
  • Noer, 1997
  • Considers organisational and operational
    compatibility, symbolised by shared philosophies,
    strategies, end-goals across the whole
    organisation
  • Everyone aware of organisation mission and the
    contribution their role makes
  • Everyone singing from same song sheet

27
Organisation Culture
  • Changing a culture is not a matter of teaching
    people a bunch of new techniques, or replacing
    their behaviour patterns with new ones. It is a
    matter of exchanging values and providing role
    models. This is done by changing attitudes
  • Crosby, 1986
  • Recruitment, education and training, leadership,
    reward and recognition, etc.

28
Learning Networks
  • Learning Networks Porter, 1990 are groups of
    people within the organisation who are brought
    together for a period of time, either physically
    or electronically, to construct, embody and
    disseminate knowledge on a specific issue.
    Learning Network combine specialists (who develop
    and maintain the group) from various disciplines
    to disseminate knowledge widely through the
    organisation. Highly valued by the organisation.

29
Communities of Practice
  • the Community of Practice CoP is united by
    shared knowledge and shared ways of knowing which
    are created by people being involved with each
    other in action
  • Drath Palus, 1994
  • Emphasis is on learning interaction and transfer
    of knowledge within the community, rather than
    wider organisation. Usually involve people with
    same professional interest, concerned with
    disseminating knowledge to CoP only

30
Collaborative Practices
  • If HP knew what HP knows, we would be three
    times as profitable
  • Platt, CEO Hewlett-Packard
  • CONK - Cost of Not Knowing
  • Reduction of Knowledge Silos Offsey, 1997
  • Create Corporate Memory Quintas et al., 1997
  • Eliminate Re-invention of the Wheel
  • Record lessons learned not glory stories
  • Facilitate ceaseless innovation Demerest,
    1997

31
Developing Professional Intellect
  • Recruit the best
  • Force intense early development
  • Constantly increase professional challenges
  • Evaluate and Weed

32
Cultural Blockers
  • Not Invented Here (N.I.H.)
  • Time is money
  • Knowledge is Power
  • Technophobia
  • Valuing Intangibles
  • Information Overload

33
Lecture 5Technology, Information and
Collaboration
34
Technologies for KM
  • Technology can be viewed as both a key
    contributor and key enabler to the field of
    Knowledge Management
  • Davenport Prusak, 1998
  • Human expertise is amplified by computers.
    Software is an encapsulation of knowledge.
    Knowledge, constantly renewed and enhanced, is
    the primary source of competitive advantage
  • Martin, 1998

35
Confusion !?!
  • Repackaging of existing software applications
    under the KM label
  • Quandary between knowledge and information
  • Publicity that investment in I.T. will result in
    improved business performance
  • How much technological involvement is required
    for successful Knowledge Management?

36
Informational Processes
  • Internal and External information
  • Increased volume of information Information
    Fatique IF Unlig, 1996, Vulliany, 1996
  • Information overload Infoglut Offsey, 1997
  • Information access Knowledge silos Offsey,
    1997
  • Perceived lack of information Infofamine
    Offsey, 1997

37
ICT Development
  • Evolving through three phases
  • Mainframe
  • Personal Computer PC
  • Networking
  • Knowledge discovery
  • Corporate collaboration
  • Rapid decision making

38
ICT for KM
  • The cybercorp needs a knowledge infrastructure
    to capture and create knowledge, store it,
    improve it, clarify it, disseminate it and put it
    to use
  • Martin, 1998
  • The critical role for I.T. lies in the ability
    to support communication, collaboration, and
    those searching for knowledge and information,
    not static repositories of best practices
  • Monasco, 1996

39
Knowledge Management Systems
  • Users should not have to learn new ways of
    working with technology Microsoft, 1999
  • Consideration must be given to awareness,
    accessibility, availability, input and
    maintenance of information Offsey, 1997
  • Functionality, usability and characteristics of
    the system must be contemplated taking HCI
    factors into consideration Lawton, 1999
  • A well designed KM system leaves users with the
    skill to communicate without depending on the
    computer
  • Senge, 1994

40
Technological Tools for KM
  • Knowledge Management technology is a broad
    concept, encompassing much more than Notes and
    the Web. Firms can apply a wide variety of
    technologies to the objectives of managing
    knowledge, some of which have been available for
    many years
  • Davenport Prusak, 1998
  • Collaboration
  • Content Management
  • Business Intelligence

41
Collaborative Tools
  • Calendar
  • Bulletin board
  • Chat
  • Whiteboard
  • Audio
  • Video
  • Newsgroups (discussion groups_
  • File sharing tools
  • Presentation tools
  • Instant messaging
  • Text tools , etc.
  • Groupware Technology
  • Electronic Mail
  • Meeting Support Systems
  • Knowledge Directories
  • Intranets/Extranets

42
Lecture 6Content for Business Intelligence
43
10 Rules for Web Writing
  • 1. Know your reader
  • 2. Take a publishing approach
  • 3. Keep content short and simple
  • 4. Write active content
  • 5. Put content in context
  • 6. Write for how people search
  • 7. Write great headings
  • 8. Write great summaries
  • 9. Write great metadata
  • 10. Edit. Edit. Edit

44
The problems with content
  • The value of content is little understood
  • The value of content is difficult to measure
  • Quality content is difficult to create
  • Quality content is expensive to create
  • Content processes are not well understood
  • Content is difficult to organise
  • Theres so much content

45
AI FAMILY
46
Business Interests in AI
  • Preserve Expertise
  • Create and/or enhance Knowledge Base
  • Mechanism not subject to feelings, fatique,
    worry, crisis
  • Eliminate routine/unsatisfying jobs

47
AI marries KM
  • KM encourages organisations to broaden use of BI
    tools to equip employees to quickly spot trends
    within business, financial and market data
    applied to enable better decision-making.
  • Four key areas
  • Data Mining
  • Intelligent Support Systems
  • Knowledge-based Systems
  • Workflow

48
Autonomic Computing Characteristics
  • Possess system identity detailed knowledge of
    components
  • Self configure re-configure adaptive
    algorithm
  • Optimise operations adaptive algorithm
  • Recover no impact on data or delay in
    processing
  • Self protection
  • Aware of Environment and Adapt
  • Function in a heterogeneous world
  • Hide complexity

49
Lecture 7The Semantic Web
50
What is the Semantic Web?
  • "The Semantic Web is an extension of the current
    web in which information is given well-defined
    meaning, better enabling computers and people to
    work in co-operation."
  • (Berners-Lee, Hendler, Lassila, The Semantic
    Web, Scientific American, May 2001)

51
What does it do?
  • The Semantic Web provides a common framework that
    allows data to be shared and reused across
    application, enterprise, and community
    boundaries. It is a collaborative effort led by
    W3C with participation from a large number of
    researchers and industrial partners. It is based
    on the Resource Description Framework (RDF),
    which integrates a variety of applications using
    XML for syntax and URIs for naming.
  • (Note URIs unique resource indicators replace
    tradition URLs unique resource locations)

52
The Semantic Web simple extension to current web
Resources Globally Identified by URI's or
Locally scoped (Blank) Extensible and
Relational Links Identified by URI's
Extensible and Relational User Even more
exciting world, richer user experience Machine
More processable information is available (Data
Web) - Binary relationships capture the meaning
of the link Computers and people Work, learn
and exchange knowledge effectively
53
Enabling Standards and Technologies the Layer
Cake
54
Future Directions
  • Facilitate Semantic Web infrastructure -
    stimulate the network effect of data
  • Data Access
  • Best Practices for vocabulary / ontology
    development
  • Development of ontology registries for Open
    vocabularies to help bootstrap application
    deployment in interoperable manners
  • Increased focus on stimulating domain-specific /
    verticle-market applications
  • Investigate additional enabling standards that
    help build the Semantic Web

55
Lecture 8Electronic Commerce
56
Benefits of EC
  • I.T. Infrastructure information flows
    seamlessly throughout
  • Direct communication between trading partners
    disintermediation (removes intermediate layers,
    streamlines processes)
  • Vendors can provide information 24 hours a day
  • Can extend distribution channels
  • Can reduce transaction costs
  • Reduces information asymmetry asymmetry exists
    when one party has more information that the
    other
  • Increases richness, depth and detail of
    information
  • Increases reach, number of people contacted

57
Types of EC
  • Business-to-business (B2B) most EC is of this
    type electronic market transactions between
    organisations
  • Business-to-consumer (B2C) retailing
    transactions with individual shoppers
    (amazon.com)
  • Consumer-to-consumer (C2C) eg selling in
    classified ads (www.classified2000.com)
  • Consumer-to-business (C2B) individuals who sell
    to organisations, individuals who seek sellers,
    interact with them and conclude a transaction
  • Nonbusiness EC academic institutions,
    not-for-profit orgns, religious orgns, social
    orgns, government agencies to reduce expenses
    (eg improve purchasing) or improve operations and
    customer service
  • Intrabusiness EC all internal organisational
    activities usually performed on intranets (see
    later slides)

58
Functions of Intranet/Extranet
  • Corporate/department/individual web pages
  • Database access web-based DB
  • Search engines and directories assist key-word
    searches
  • Interactive communication chatting, audio and
    video-conferences
  • Document distribution and workflow web-based
    download and routing of documents
  • Groupware e-mail and bulletin board
  • Telephony- intranets are perfect conduit for
    computer-based telephony
  • Integration with EC interface with
    Internet-based electronic sales and purchasing
  • Extranet linking geographically dispersed
    branches, customers and suppliers to authorised
    sections of intranets happier customers, more
    efficient suppliers and reduced staff costs

59
Intranet/Extranet Benefits
  • E-Commerce sales and purchasing done online
  • Customer service information about product
    available at touch of button
  • Reduced time to market
  • Enhanced knowledge sharing
  • Enhanced group decision and business process
    web-based groupware and workflow systems
  • Empowerment everyone has right to know
  • Virtual organisations web technology at both
    ends removes barrier of incompatible technology
    between businesses

60
Intranet/Extranet Benefits (2)
  • Software distribution networked
  • Document management open environment
  • Project management share and check progress
  • Training knowledge to novices
  • Facilitate transaction processing data entered
    only once via web, internal control can be
    applied consistently throughout system
  • Eliminate paper-based information delivery
    resulting in lower cost, easier accessibility and
    greater efficiency
  • Administrative process support all operational
    functions seamlessly integrated with
    inter-organisational extranets

61
Intranet Deployment Considerations
Evaluation Criteria of Intranet Platform (Turban
et al., 2000)
62
Lecture 9Creativity and Innovation
63
Definition of Creativity
  • The creative thinking process is the forming of
    associative elements into new combinations which
    either meet specified requirements or are in some
    way useful. The more mutually remote the
    elements of the new combination, the more
    creative the process or solution
  • (Mednick, 1962)

64
The 4 Ps Model of Creativity (Rhodes, 1961)
65
Ground Rules for Creative Thinking
  • Welcome every idea, no matter how wild it is
  • Hold back on criticising an idea
  • Remember that we always have some knowledge or
    experience that can help us solve a given problem
  • Dont be afraid to indulge in some childlike
    behaviour
  • Never forget that other people perceive problem
    situations in ways different from you
  • Always think of a mistake or failure as an
    opportunity to learn, not as a thing we did
    wrong

66
Creativity and Innovation
  • Taking the bright ideas and creating a new and
    different commercial future
  • A product or idea is creative to the extent that
    it is both a novel and appropriate response to an
    open-ended task
  • Innovation is the successful implementation of
    creative ideas about products or processes within
    an organisation (Amabile, 1988)

67
Creativity, Innovation and Change
  • Creativity is
  • An individual cognitive process
  • The ideation component of innovation
  • A subset of innovation
  • Innovation is
  • A social process, involving intentionality of
    benefit
  • Not necessarily creative innovation can also
    include the adaptation of existing products or
    those created outside the organisation
  • Change
  • A subset of change

68
Types of Innovation
  • Product
  • Service
  • Process
  • Marketing
  • Management
  • Incremental/Radical

Technological
Communications
69
Innovation Process
70
Organisational Learning
  • Needs to be a continuous process
  • Must be communicated forward and backward across
    all stages of the innovation process and then
    across functional boundaries
  • The outcome is new ideas that are fed into the
    innovation process and may result in re-innovation

71
Lecture 10Measurement
72
Evolution of Measures
Throughout the evolution, Understanding
improves Skyrme, 1998
4 Value
3 Management
2 Metrics
1 Language
Roos, quoted in Skyrme, 1998
73
Viewpoint 1 Just Do It
  • Management energy is better spent creating and
    using the forces that will drive overall
    performance and deliver value to the companys
    key constituencies
  • Knowledge is only relevant when it is used it
    has no intrinsic value. This is why initiatives
    to assign value to a companys inventories of
    knowledge are so misguided
  • Pasternack Viscio, Booz Allen, 1998

74
Viewpoint 2 Do It and Measure
  • What you can measure, you can manage, and what
    you can manage, you can measure
  • We see intellectual capital as a language for
    thinking, talking and doing something about the
    drivers of companies future earnings
  • Intellectual capital is concerned with managing
    and measuring knowledge and other intangibles

75
Making Knowledge Visible
  • Knowledge Activities Networks, communities,
    symbols, signals
  • Knowledge Outcomes Cycle time, product
    development, patents
  • Knowledge Investments Training, RD, Knowledge
    oriented technologies
  • Prusak, 1999

76
How Do I Select Pilot Projects?
  • Choose those which
  • Advance your business performance
  • Have a high probability of success
  • Can explore emerging technologies
  • Can build credibility
  • ODell Grayson, 1998

77
Some Measurement Methods
  • Brand Equity Valuation
  • Colorised Reporting
  • Benchmarking KM Tool
  • Balanced Scorecard
  • Competency Models
  • Benchmarking
  • Business Worth
Write a Comment
User Comments (0)
About PowerShow.com