TDEI21
Strategic Organisational Application
of IT –
Workflow and Knowledge
Management
The purpose is to give you
insights enabling you to make
nuanced assessments of the
potential behind the IT hype
IEI/EIS
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L1:1
Alf Westelius
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Alf
IEI/EIS
W t li
Strategic
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Alf Westelius
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IEI/EIS
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Alf Westelius
Alf
IEI/EIS
W t li
Strategic
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Alf Westelius
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Emerging technologies
First hype curve, 1995
Gartner 1995
20+ years of Gartner’s hype
curves
Alf
IEI/EIS
W t li
Strategic applicatins L1:5 5
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f IT
Alf Westelius
Alf
IEI/EIS
W t li
Gartner Research, ID Number: G00130115
Strategic applicatins L1:6 6
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f IT
Alf Westelius
2015
Alf
IEI/EIS
W t li
Ideell Arena, Itwww.iei.liu.se/eis/edu/tdei21
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h f
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k t 2010
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Hype Curve BI and PM 2006
On the Rise
4.1 Analytical Process Controlling4.2 Search Capabilities for Business
Intelligence4.3 Hosted Business Intelligence4.4 Open-Source Business
Intelligence4.5 CPM Infrastructure Components4.6 In-Memory Analytics on 64Bit Hardware4.7 Enterprise Information Management4.8 Enterprisewide RealTime CPM4.9 Intangible Assets and CPM4.10 Text Mining4.11 SOA-Enabled
Business Intelligence5.0
At the Peak
5.1 Business Activity Monitoring5.2 Real-Time Decisioning5.3
Compliance5.4 Advanced Visualization6.0
CPM and
Sliding Into the Trough
6.1 CPM Suites6.2 Profitability Modeling and Optimization6.3 Excel as a
Business Intelligence/CPM Front
End6.4 Dashboards/Scorecards6.5 Spreadsheet-Based Business
Intelligence/CPM6.6 Business Application Data Warehouses7.0
Climbing the Slope
7.1 Data Quality Tools7.2 Web Analytics7.3 Data-Mining
Workbenches7.4 Planning, Budgeting and Forecasting7.5 Business Intelligence
Platforms8.0
Entering the Plateau
8.1 Financial Consolidation Applications
Hype cycle Business Intelligence
2012
and
L1:19
Alf Westelius
Performance Measurement
On the Rise
Collaborative Decision Making, Information Semantic Services, Search-Based
Data Discovery Tools
At the Peak
Information Capabilities Framework, Natural-Language Question Answering,
Enterprise Metadata Management, Logical Data Warehouse, In-Memory
Database Management Systems, Mobile BI
Sliding Into the Trough
Business Analytics SaaS, Open-Source Business Intelligence Tools, In-Memory
Analytics, Text Analytics, Real-Time Decisioning Platform
Climbing the Slope
Interactive Visualization, Business Activity Monitoring
Entering the Plateau
Dashboards, Excel as a BI Front End, Column-Store DBMS, Predictive
Analytics, Business Intelligence Platforms, Data-Mining Workbenches
L1:20
Alf Westelius
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Alf Westelius
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IEI/EIS
IEI/EIS
www.iei.liu.se/eis/edu/tdei21
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IEI/EIS
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IEI/EIS
IEI/EIS
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Alf Westelius
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Alf Westelius
We focus on the more or less structured
communication processes within the
organisation. By learning more about
participation and influence in
development and implementation, group
roles, incentives, responsibilities and
roles in knowledge management, you build
an understanding that can help you turn
visions and strategies into action.
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L1:29
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People
Tasks
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Leavitt’s diamond
1963
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Alf Westelius
Strategy?
Common sense
Sense
Nonsense
Scientifically sound?
Not overly complex
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Alf Westelius
Virtual organisation
Imaginary organisation
Technology
IEI/EIS
L1:30
Organisation
Organisation
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Alf Westelius
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IEI/EIS
L1:32
Alf Westelius
But it is not just the premeditated and
planned that can be of strategic
importance. At least as important is that
you learn to recognise spontaneous and
temporary initiatives and developments
that warrant attention and support.
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L1:36
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Types of strategies
Strategy
Cost leadership
Niche
Differentiation
Emergent
Planned
Porter 1985
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L1:37
Alf Westelius
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IEI/EIS
L1:38
Alf Westelius
Revision ...
Types of processes
ASSUME
ASS-U-ME
Identity
Priority
Background
Mandated
Historic
… makes
and ass of
Have
you checked?
you you
and talked
me ... to ...
Have
Keen 1997
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L1:39
Alf Westelius
KM
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L1:40
Knowledge
investment
Technological
Accenture
Alf Westelius
Social
LiU
Explicit
Knowledge
domain
Tacit
Pharmacia
Upjohn
BT
The virtual
office
Blacksmith
Knowledge management investments,
Earl & Scott, (98) p9
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L1:60
Alf Westelius
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IEI/EIS
L1:61
Alf Westelius
Maturity profile of KM in Swedish
retail banking
Use
Technology
Capture
5
4
3
2
1
0
Technical competence
Specific situations in my 0,80
Reuse of systems design,
leadership
and architecture
Code templates
0,60
Who knows what
design templates
0,40
Rules of thumb and guidelines
Program/function library
Organise
Measurements
Knowledge areas in IT consulting company CG
Share
0,20
Examples of and building blocks
contracts, etc.
Generate
Intellectual
Leadership
assets
Culture and climate
Experience of technical
solution
0,00
Experience of
development tools
Document templates
Development platforms,
Coding standards
Checklists and specific
methods
Experieince of CG methods
Competence on CG methods
Customers’ contact nets
Customers’ operations and
business
Hjertzén & Toll, 1999
Ahde & Beckmann 1998
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L1:62
Alf Westelius
www.iei.liu.se/eis/edu/tdei21
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IEI/EIS
Technical competence
Specific situations in my 0,80
Reuse of systems design,
leadership
and architecture
Code templates
0,60
Who knows what
design templates
0,40
Rules of thumb and guidelines
Program/function library
0,20
Experience of technical
solution
0,00
Experience of
development tools
Document templates
Development platforms,
Coding standards
Checklists and specific
methods
Experieince of CG methods
Competence on CG methods
Knowledge
disseminated
Customers’ contact nets
Customers’ operations and
business
Knowledge
produced
Hjertzén & Toll, 1999
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IEI/EIS
People with
needs who are
dissatisfied
with the supply
L1:64
Examples of and building blocks
contracts, etc.
Portion who view the
knowledge as useful
0,80
0,60
Experience of
development tools
Document templates
Development platforms,
Coding standards
Checklists and specific
methods
People
dissatisfied
Experieince of CG methods
with the
Competence on CG methods
supply
Customers’ contact nets
Customers’ operations and
business
Hjertzén & Toll, 1999
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L1:65
Alf Westelius
Valuable sources and distribution channels
Other
companies
Own material
KO/NWT
Natural Work Team
Customer
Informal contacts
0,20
0,20
Experience of technical
solution
0,00
Experience of
development tools
Internet
Courses/ Seminars (internal)
Distribution
channel
Courses/ seminars (external)
Development platforms,
Coding standards
Checklists and specific
methods
Experieince of CG methods
Competence on CG methods
Experience of technical
solution
0,00
Portion who view the
knowledge as useful
Program/function library
0,40
0,20
Examples of and building blocks
contracts, etc.
Code templates
design templates
Document templates
Source
PERFORM
x-disc
Customers’ contact nets
Customers’ operations and
Knowledge
business
the Galaxy/ Polarstar
Intranet
Structural capital
Hjertzén & Toll, 1999
produced
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IEI/EIS
Technical competence
Specific situations in my
Reuse of systems design,
1,00
leadership
and architecture
0,80
Knowledge
Code templates
Who knows what
design templates
categories
0,60
Program/function library
Rules of thumb and guidelines
0,40
Technical competence
Reuse of systems design,
Specific situations in my
1,00
leadership
and architecture
Rules of thumb and guidelines
Knowledge
disseminated
Alf Westelius
Demand versus supply
Who knows what
Alf Westelius
Value and need
Production och dissemination
Examples of and building blocks
contracts, etc.
L1:63
L1:66
Alf Westelius
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IEI/EIS
L1:67
Alf Westelius
Strategic HRM and Performance
”The knowledge star”
Education
Knowledge
Personal
”Mission”
Psychometrics
Competence
HR Practices
Recruitment
Selection
Training
Development
Performance
Management
Rewards
Communication
Professional
Annie Brooking & Philip Harris, 1997
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Alf Westelius
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IEI/EIS
HR Practices and Performance: HR Approach
Customer
Outcomes
Satisfaction
Retention
HR Strategy
Recruitment
Selection
Training
Development
Performance
Management
Rewards
Communication
Operational
Outcomes
Productivity
Quality
Shrinkage
Accidents
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L1:96
Financial
Outcomes
Expenses
Revenues
Profits
Alf Westelius
What
Employees
Have
Skills,
Abilities,
Competencies
What
Employees
Feel
Motivation
Commitment
Engagement
What
Employees
Do
Task,
Discretionary,
Counterproductive
Behavior,
Attendance,
Turnover
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Customer
Outcomes
Satisfaction
Retention
Operational
Outcomes
Productivity
Quality
Shrinkage
Accidents
L1:95
Financial
Outcomes
Expenses
Revenues
Profits
Alf Westelius