inf5890_intro_2015.pdf
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INF5890IT and Management
Introduction
26thJanuary 2015
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About the course
Practicalities
Course overview (format, important dates etc)
About the project Course content
IT and management at what level?
Sociotechnical complexity How readings (book + articles) and activities (lectures, seminars
and project work) contribute to understanding complexity
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Course Overview
Lectures Reading Seminars Project Deliverables
26.01 Introduction -
02.02 IT governance
03.02 IT governance
09.02 Project management
16.02 Project management
23.02 Project management
02.03 Enterprise Architecture 3.03 (group no. 1)
09.03 Service-Oriented
Architectures
17.03 IT governance in the
public sector
24.03 (group no. 2)
13.04 TBA
20.04 TBA
27.04 Contracts, vendor
relations etc.
04.05 IT governance in the
health sector
21.04 (individual, no. 3)
11.05 Wrap-up Home Exam between May 11-22
Discuss:
Readings
Project Work
Present:
Group Project
Deliverables
Coordinated byMikael
As perreading list
(matching
literature to
lectures to be
found in websitenext week)
Monday 12.1514.00 in Pascal
Tuesday 10.1512.00 in Smalltalk
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Projects
Mandatory participation
Have to be completed to take exam - not graded
Each project group has 4-5 participants
Project groups find cases
Staged approach for deliverables Two group deliverables
One individual deliverable
Groups need to be formed and cases selected by Feb 10th
More in seminar tomorrow (10.15 - 12.00 in Smalltalk)
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Projects Overall Description
Study the as-is situation related to IT management/governance inone selected organization Map
Analyse (using concepts and frameworks taught in the course)
Recommend
Compare and contrast across cases
At least two interviews (during a months time) and secondarysources (organizations documentation or from public sources)
Deliverables To be presented and discussed in seminars
Detailed guidelines for project work to be found in the web page
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What is the course about?
Course content
The course offers an overview over central managerial challenges related todevelopment, implementation and management of IT solutions in currentorganizations. A general introduction to theories on organization and managementis given, with a specific focus on socio-technical complexity. Both strategic and
operational aspects of management are covered.
Learning outcome
Through the course you will gain knowledge on these topics: IT governanceapproaches, models and frameworks
IT strategy and how to organize the IT department
Project management
Vendor relations, contracts and purchases
Sourcing
Life cycle management and total cost of ownership
Enterprise Architectures
Management of complex systems and infrastructures
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INF5890 in a nutshell
IT Governance
IT Development& Maintenance
INF5890
IT Management
Strategic level (giving overall direction)
Operational level (ongoing management)
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Reading Material
Book: not textbook, written for a professional audience, less
structured - more narrative
easy to read, include a lot of practical examples
Papers and manuscripts: written for a scientific audience, presuppose some background
knowledge of the topics, to read after the relevant lectures contain useful references
Lecture presentations will be available in the web pageaftereach lecture
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Simple models of complex phenomena
all models are wrong, but some are useful
(George Box, 1978)
A model with all the complexity of the original does not help usunderstand the original.
The whole purpose of a model is to eliminate details that are not
essential to the problem at hand.
So, purposeful simplifications! What to foreground and what to
send to background
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Model types
SenseMaking vs Predictive vs Normative models
SenseMaking Models help us: Focus attention - filter incoming information
Sort out which further information to collect
Communicate
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Decision on what
Decision
by whom
A Matrixed Approach to IT
GovernanceA matrix that juxtaposes five IT decision domains against different decision taking modes
P. Weill and J. Ross, IT Governance: How Top Performers Manage IT Decision Rights for Superior Results (Boston: Harvard Bus iness
School Press, 2004).
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Beyond the book
Some technological trends not covered byWeill and Ross:
Cloud computing, virtualization
Loose application integration (e.g. web services) Process tools (advanced BPM, BPEL)
Platforms/ecologies
Open source sw/commons-based peer production
-> Complexity as explicit theme
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Cloud computing
U.S. National Institute for Standards and
Technology (NIST):
Cloud computing is a model for enabling ubiquitous,
convenient, ondemand network access to a sharedpool of configurable computing resources (e.g.
networks, servers, storage, applications and services)
that can be rapidly provisioned and released with
minimal management effort or service providerinteraction
(Mell & Grance, 2011)
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Key components of cloud
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Infrastructure as a Service (IaaS)
Storage, computational power
Ex: Amazon Web Services
Platform as a Service (PaaS) Development environment
Ex: Google App Engine, Microsoft Azure
Software as a Service (SaaS)
Applications
Ex: Gmail, Google Docs, Facebook etc. as well asenterprise systems (Salesforce.com)
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Platforms
Platforms beyond organizations - ecologies Paper: Ghazawneh and Henfridsson (2012) about
iPhone - how Apple balanced control (over platform)
with openness for third party development and within organizations
enterprise systems as platforms: vendor + third
party + in house components:
Paper: Rolland and Aanestad (2014)about Microsoft
Sharepoint in Bergen Drilling (evolution,
customization, migrations between versions)
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Web Services
Web Services allow loose coupling amongapplications.
Tight coupling is appropriate when a well-
defined relationship exists between
applications.
Loose coupling is appropriate for exposing
business logic when the partner system is notnecessarily specified.
Polycentric decision making forapplications is facilitated by loose coupling
Governing architecture and infrastructures
becomes more important
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Advanced Process Tools
Work tasks that span systems. Processes
documented in documents and regulations.
Process deployment on the basis of events
monitored locally.
Information exchanges by bricolage and with
room for local autonomy.
A new layer to connect work tasks and systems.
Processes modeled in the new layer.
Formal models for process deployment and
monitoring.
Global management of human to human, human
to machine, machine to machine interactions.
Before BPM After BPM
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New layers to be governed
Governance arrangements are
related to key decisions within
organisations on
standardisation and
integration.
Whenever issues of integration
and standardization arise BPM
and SOA are becoming
important.
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Open source software
commons-based peer production
Important governance decisions
related to IT principles.
New way of sourcing.
New way of conceptualizing
projects.
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Development, implementation & management
of IT in current organizations is complex
Great number of
components (technological
and organisational)
Great heterogeneityamong components
Great number of
connections (formal and
informal, managed and
unmanaged)
Great heterogeneity ofconnections (tight/loose)
Great speed of change
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Complexity Science(s)
Explains e.g.: Zoological phenomena (bird flocks,
ant communities etc)
Biosphere, eco systems
Body: brain, immune system
Social phenomenon (behaviour)
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One definition: complexity is dependent on the number of different types
of components, the number of types of links, and thespeed of change of the system
Scott L. Schneberger og Ephraim R. McLean (2003): The ComplexityCrossImplications for Practice. Communications of the ACM, vol.66, no. 9, s. 216-225.
Complex Adaptive Systems theory: How complex systems develop through participants
adaptive behaviour (i.e learning)
Managment philosophy (enable self organisation andlearning)
Axelrod and Cohen (2001): Harnessing Complexity:Organizational Implications of a Scientific Frontier
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(The Cynefin framework)
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Further readings
Mangerial vs. technology-centered accounts:
Ciborra m.fl. (2000): From Control to Drift. The
dynamics of corporate information infrastructures
Hanseth og Ciborra (red): Risk, Complexity and ICT(2007)
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Summing up
Models and framework are always partial
views of complex phenomena
Book + other readings focus on particular
aspects of management and IT
Course project: how it looks in practice
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BACKUP
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generate emergent behavior that
cannot be inferred from the
behavior of components
among them and
across scales
dynamically
interacting
many
heterogeneous
components