EXPLORING KNOWLEDGE INTEGRATION IN ERP PROJECT TEAMS - PowerPoint PPT Presentation

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EXPLORING KNOWLEDGE INTEGRATION IN ERP PROJECT TEAMS

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EXPLORING KNOWLEDGE INTEGRATION IN ERP PROJECT TEAMS. Sue Newell. Bentley College, USA. Introduction ... We play football!! COGNTIVE BARRIERS. Knowledge is ... – PowerPoint PPT presentation

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Title: EXPLORING KNOWLEDGE INTEGRATION IN ERP PROJECT TEAMS


1
EXPLORING KNOWLEDGE INTEGRATION IN ERP PROJECT
TEAMS
  • Sue Newell
  • Bentley College, USA

2
Introduction
  • Many IT projects do not meet cost, schedule
    functionality targets
  • Many more do not create the radical change that
    was intended
  • Rather IT often reinforces the status quo
    (Orlikowski)
  • Focus on problems of sharing integrating
    distributed knowledge

3
ERP Projects
  • Standard software vanilla implementations
  • Change organization to fit software
  • Many organizations therefore start ERP
    implementation with a business process
    reengineering phase

4
Project Team
  • Must map as is processes, identify processes
    embedded in software, define new organizational
    processes that fit
  • Process analysis redesign fundamental to
    achieving transformational potential

5
Reality
  • Many firms do not achieve this transformational
    potential from their ERP implementations!
  • Critical success factors have been identified
  • Ability to integrate distributed knowledge not
    considered

6
Knowledge Integration
  • The process whereby several individuals combine
    their information to create new knowledge
    (Okhuysen Eisenhardt)
  • Oversimplifies complex process of sharing
    knowledge knowledge is distributed ambiguous

7
Knowledge Integration - Distributed
STRUCTURAL BARRIERS
8
Knowledge Integration - Ambiguity
We play football!!
COGNTIVE BARRIERS
9
Knowledge is hoarded
RELATIONAL BARRIERS
10
Knowledge Integration
  • Understanding knowledge as socially constructed
    arising through interaction dialogue means -
  • Teams will achieve greater or lesser success in
    their ability to integrate knowledge

11
Different levels of knowledge integration
  • Mechanistic pooling
  • Generative knowledge integration

12
Achieving High Levels of Knowledge Integration
  • Depends on project team
  • Intellectual and Social capital (Nahapiet
    Ghoshal)
  • Social capital/networking bridging (Burt) vs.
    bonding (Coleman) views (Adler Kwon)

13
Social Capital - Bonding
14
Social Capital - Bridging
15
Research
  • Explore level of knowledge integration achieved
    in two project teams tasked with implementing a
    functional pillar of an ERP system in two
    companies
  • Specifically focus on networking of teams in
    pursuit of sharing integrating knowledge

16
Methodology
  • Case study methodology
  • 2 companies QEL and IEL
  • First interviews (14/25) and follow-up interviews
    (7/12)
  • Informal interviews, observations, documentation

17
Cases
  • Both large, multi-national, engineering companies
  • Both decided to implement ERP systems in 1998
  • QEL
  • Project not completed
  • IEL
  • System implemented and well-received

18
Differences between the two project teams
  • Emphasis on team building
  • The way the project was divided up
  • The allocation of specialists to workpackage
    areas
  • The inclusion of different opinions from the
    process mapping stage
  • The involvement of the IT consultants
  • The understanding of ERP functionality
  • The involvement of users

19
Impact on Social Capital/Networking
  • Bonding
  • IEL team bonding seen as crucial
  • QEL team operated independently
  • Bridging
  • IEL team spent considerable effort accessing
    distributed knowledge
  • QEL team made very little effort to access
    distributed knowledge

20
Successful Knowledge Integration
21
Discussion and Conclusions
  • Knowledge integration is a central activity
    within an ERP implementation
  • Social networking (bonding and bridging)
    influences these processes of knowledge
    integration
  • Management and organization of project influences
    this social networking
  • Transformational potential of IT requires
    generative knowledge integration (vs. mechanistic
    pooling)

22
Managerial Implications
  • Team Building
  • Division of tasks
  • Allocation of team members
  • Encouraging wide information search during
    process mapping stage
  • Engaging hybrid IT consultants
  • Involving users

23
Next Steps
  • Longitudinal study to explore subsequent
    improvisation with system
  • Track differences between piecemeal (mechanistic)
    and concerted (generative) approaches (Robey et
    al)
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