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An information and knowledge management methodology in analyzing the risks in public private partner

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Title: An information and knowledge management methodology in analyzing the risks in public private partner


1
An information and knowledge management
methodology in analyzing the risks in public
private partnership projects
UBC P3 Project Academic Workshop, December 6
2006, Vancouver, B.C., Canada
  • Cheryl Nelms, PhD Candidate
  • Department of Civil Engineering
  • University of British Columbia

2
Presentation outline
  • Current industry challenges and research gaps in
    managing risk information
  • Research questions
  • Features of a risk management approach building
    on past work
  • Current and proposed work

3
Current challenges for management of risk
information (industry)
  • Identifying the full spectrum of risk events
    achieving realistic valuations of likelihoods and
    outcomes
  • Accomodating different cognitive styles in
    estimating likelihoods and outcomes
  • Improving the integration of the risk management
    process within the overall project management
    process
  • Tracking and monitoring risks during the project
    life cycle
  • Modeling the interaction of risks events and the
    cumulative impact of multiple risk events on the
    temporal/spatial dimension
  • Accounting for the different value systems of
    stakeholders.

4
Research questions
  • 1. What are most appropriate role(s) for the
    machine and users vis a vis a computer-based
    methodology.
  • Automation and specialization vs. flexibility to
    model a diverse range of project types and
    ability of users to modify the contents.
  • 2. How should the cognitive styles of those
    providing the inputs and project risks be
    represented?
  • Linguistic, point and range estimates

5
Research questions
  • 3. How should the relationship between project
    context and project risks be represented?
  • How should the project context be modeled?
  • 4. How should representations of project risks
    and their relationship with project context be
    exploited to gain insights for decision making?
  • What querying, reporting, and visualization
    functions and formats are of use?
  • How should the evolution of risk information and
    outcomes over the project life cycle be
    accomodated?

6
Research questions
  • 5. What knowledge can be re-used for future
    projects?
  • How can such content be archived in a project
    neutral format?
  • How can risk knowledge from past projects be
    extracted from archives?
  • What assistance can be given to the user in
    deciding the appropriate content to re-use?

7
Research Approach
  • Literature Search
  • Case Studies
  • Canada Line Project P3
  • Federal facilityprocurement strategy undecided
  • Survey(s)
  • Risk management survey currently available
  • Interviews with practitioners

8
Modeling the project context risk drivers
Organizational / contractual (Who Why)
Physical components (What)
  • PROJECT
  • MODEL

Processes - schedule, methods (How When)
Environments natural, man-made (Where When)
9
Linking views using the process view as the
gateway
RR
10
Project risk register (RR)
11
Current work
  • Ongoing work includes
  • Continuing to monitor the literature, and conduct
    case studies and industry web survey(s)
  • Using visualization strategies to address the
    distribution of risks by location, time,
    responsibility, and risk driver(s), and their
    potential interaction
  • Supporting multiple elicitation techniques to
    assist users articulate value systems, risk event
    likelihoods and outcomes
  • Developing knowledge management libraries of risk
    issues and related events and mitigation
    strategies.

12
Contact Details
  • Cheryl Nelms
  • Department of Civil Engineering
  • University of British Columbia
  • cnelms_at_telus.net
  • 778 834 9823
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