1. How can digital technologies
improve organizational
performance?

2. ©2013 L. SCHLENKER
•LHST works with senior managers to
leverage networks, processes and
technology to enhance individual and
corporate performance.
• The client portfolio in the ICT industry
includes Microsoft, Apple, Ernst & Young,
France Telecom, HP, IBM, Oracle and SAP
.
•The work with the IT industry in Europe
has included fifty partner and customer
conferences, a dozen case studies, and
various marketing support activities.
Prof. Lee SCHLENKER,
Professeur ESC Pau- EMLYON
Managing Director, LHST
Web : www.leeschlenker.com
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3. 3
Focus Improve Knowledge Leverage Measure
Process
Centric
? ? ? ? ?
Social
Networks
? ? ? ? ?
Search ? ? ? ? ?
Mobility ? ? ? ? ?
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4. http//:newcastlemba.com
• Course slides
• Recommended reading
• Course deliverables
• Student input
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5.  A curation page – 20 percent
 An written case study– 50
percent
 A video presentation– 30 percent
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6. What Morgan called « the management of meaning »
©2010 LHST sarl
Intro Perspective MirrorValue Deliverables
• What does enterprise IT mean?
• What are you trying to improve?
• What do you need to learn?
• What does better mean?
• How do you measure success?
Focus Improve Knowledge Leverage Measure

7. • Economic transformation: The transformation from a manufacturing-
based economy to a services-based economy now underway throughout
the developed world will accelerate.
• One World of Business. Political and economic dynamics are forging a
single global market, a global workforce, global customers, partners, and
suppliers.
• Always On, Always Connected. The challenges of the “always on, always
connected” world will be converting information into insights; managing time
and staying focused on high priority tasks
• The Transparent Organization. The systems that make organizations
more agile also make them more accountable.
• NetGen Meets Baby Boom. Workers who will be delivering the innovations
and productivity growth of tomorrow, this technology not only won’t come as
a surprise, it will be a positive expectation.
• Competing for Talent in a Shrinking Workforce: Because demographics
show an aging, shrinking workforce in most of the developed world over the
next 50 years, maximizing the productivity of the workers that are available
is critical.
Intro Perspective MirrorValue Deliverables

8. ©2013 L. SCHLENKER
• Globalization : the increasingly circulation of
information across borders.
• Technical progression: the transformation of
communication « atoms to bits »
• Economic integration: vertical and horizontal
integration to profit from economies of scale
• Social innovation: human attempts to create new
forms of expression
• Multitasking : individual efforts to use multiple
communication platforms
Henry JenkinsIntro Perspective MirrorValue Deliverables

9. • The assumption of order
• The assumption of rational
choice
• The assumption of intentional
capacity
• The assumption of identity
©2010 LHST sarl
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10. • Study the fundamentals of an
Information System
• Analyze the constraints and possibilities
of « structured » information
• Explore how the potential links between
an IS and innovation
• Analyze the potential value of digital
transformation
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Challenges

11. What is the link between data
and action?
• Understanding the implications between
« structured » and « unstructured data »
• Analyzing the difference between the data and
reality
• Understanding how the data fits together
• Exploring the difference between data and
action
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12. ©2013 L. SCHLENKER
• From an objective point of view, information
refers to date in context that conveys meaning
to an individual.
• From a subjective point of view, we could
suggest that it’s the individual’s perspective of
the data that implies meaning.
• Given these definitions what meaning do
Wikileaks, Facebook or Whatapp have?
Assane, The Conversation
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13. ©2013 L. SCHLENKER
• Structured data refers to data that can be easily represented in textual/numeric
form and stored in a database.
• Structured data is often logically organized around a data model or data object.
• Such models permit companies to compare and aggregate data in databases,
datamarts and data warehouses.
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14. ©2013 L. SCHLENKER
• Data is considered « non-structured » if we
can’t predefine its attributes and store it in a
table or data base
• Examples of this kind of data include press
clippings, videoclips, and songs
• In reality, this data isn’t « non-structured » - its
just that its attributes involve « complex »
relationships
http://ean.marie.gouarne.online.fr/bi.html
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15. ©2013 L. SCHLENKER
What meaning do we attach to
the data?
Frame
Cloud
Figure (s)
Oracle
Antonello da Messina
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16. ©2013 L. SCHLENKER
Results
Actions
Knowledge
Context
Data
Process
Interprets
Decisions
Measures
Obtain
Define
Require
Drive
The ladder of initiatives™
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17. ©2013 L. SCHLENKER
A business information system is an organized set of
resources (platforms, applications, procedures, data and
people) that capture the meaning of work
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18. ©2013 L. SCHLENKER
To help us understand the motivations, experience and objectives of the
internal and external clients of the organization
 ROI
 Real time data
 ...
Stockholders
 Competition
 “made in” “made by”
 ...
The State
 Peu de barrières d’entrée
 Acquisitions, OPA...
Partners
 Loyalty
 Real costs
 ...
Clients
The Enterprise
 Mobility
 Empowerment
 ...
Employees
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19. ©2013 L. SCHLENKER
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20. ©2013 L. SCHLENKER
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21. Introduction Information
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22. ©2013 L. SCHLENKER
Technicity
Reflection
Imagination
Cooperation
Method
Action
John Holland
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23. • Nicolas Carr compares IT to previous tech revolutions such as
railroads and electricity. In what ways is IT different?
• What proof can you offer that information technology in
business no longer provides competitive advantage?
• Does the pervasiveness of IT mean there will be less innovation
now?
• Hasn't competitive advantage come from unique use of the
technology, not just from the technology itself? What examples
can you give?
• Do recent advances in Cloud Computing and Mobile
Applications confirm or contradict Nicolas Carr's claims?
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24. Digital Transformation
1. Everyone Will Have the Web
2. The Browser Will Be the Operating System
3. Business Will Live in the Cloud
4. Everything Will Be Social
5. Software Will Eat the World
Marc Andreessen
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25. Work (productivity)
• Harder, better, faster…
• Mechanized productivity
• Knowledge productivity
• Continuous Productivity
Steven Sinofsky
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26. • Ordered domain: Known
causes and effects.
• Ordered domain: Knowable
causes and effects.
• Un-ordered domain: Complex
relationships.
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27. Grading Scale
The marks in this module will be based upon contributions in three areas :
• Curation: 20 possible points based on the quality of each individual
student’s on-line and in-class participation
• Design your School case study: 50 possible points based on the
number and quality of the story.
• Webcast: 30 possible points based on the quality the presentation of
your perspective
• Total points possible: 100
http://www.newcastlemba.com
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28. Written assignment
• How can a business school become an idea factory?
•
The vision - how can a phygital space promote your theme?
The design - what types of equipment (furniture, supplies, technologies, and
decorations) will support this vision.
The events - which specific events (conferences, workshops, coffee breaks, etc.) will
be held in the Idea Factory to encourage the exploration and appropriation of
your theme?
The guests - which specific skills and competences (deep thinking, deep reading,
visioning, project management....) will the Factory develop?
The results - how do you recommend evaluating the results of your vision (participant
comments, usage, number of ides produced...)?
Total points possible: 50
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29. Can you make a difference?
• Individual assignment
• What have you learned from your case?
• Themes : trends, convergence, fragmentation
• Delivery: video analysis
• Evaluation criteria : personalization, insight,
dissonance
• Length : minimum four minutes
• Exploring digital intermediation
Total points possible: 30
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