Lecture in INF5890 April 26th 2016 Critical Perspectives ... · Lecture in INF5890 April 26th 2016...

61
Lecture in INF5890 April 26th 2016 Critical Perspectives on Management, Governance and Control of ICT Margunn Aanestad

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Lecture in INF5890 April 26th 2016

Critical Perspectives on Management,

Governance and Control of ICT

Margunn Aanestad

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Today:

• Critique of traditional management approaches • Too much reliance on «command and control» • Alternative approaches

• Readings • Ciborra, C. U. (2000): “A Critical Review of the Literature

on the Management of Corporate Information Infrastructure”. Chapter 2 in "From Control to Drift", Oxford University Press

• Ciborra, C.U (2004): “Encountering information systems as a phenomenon” Chapter 1 in "The Social Study of Information and Communication Technology". Oxford University Press

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Ciborra in «From Control to Drift»

Chapter 2: A Critical Review of the Literature on the Management of Corporate Information Infrastructure

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• Arguing against other literature on how to manage/govern the information infrastructure of a company, specifically this book:

– Weill and Broadbent (1998): «Leveraging the New Infrastructure. How Market Leaders Capitalize on Information Technology”

• They claim: IT infrastructure is an asset, manage it as other assets in your investments portfolio

• The recommendations are «based on proven and familiar principles of financial portfolio management»

Asset: «A resource with economic value that an individual, corporation or country owns or controls with the expectation that it will provide future benefit”

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• Different understandings of what «Information Infrastructures» are • ‘common sense’ versus theoretical notion

• The complexity of the existing IT and the interplay between IT and organization makes the information infrastructure much more complex to deal with than other assets • There are limitations to control-based approaches

• Central terms: • The «installed base»: IIs are never developed from

scratch, always already exists

• «Cultivation of installed base»

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Chapter 8 (by Hanseth and Braa): “Who’s in control: Designers, Managers

– or Technology?

• Norsk Hydro established in 1905

• Fertilizer Division: Hydro Agri Europe

– 19 production sites & 72 locations

• Diversification, large acquisitions, but “hands off” management (independent national divisions)

• 1992: Crisis – decided tighter integration of European divisions

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Phase 1: Reengineering (without IT) • A swift integration was planned

– “Synergy between processes through global organizing”

• A lot of resistance in the organization, not successful

• Detected a lot of very different IT systems – decided to standardize (necessary for organisational integration)

– Defined the “Hydro Bridge” standard

• HAE choose SAP as a company wide standard ERP system in 1994

• Implementation started in 1995 and should continue to 1999

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Phase 2: SAP Implementation • First step:

– Develop a common, uniform SAP installation that supports joint processes across the organisation

• Second step: – Shared processes -> tighter integration

• Plan: Pilot (Germany), then validation and roll-out of final version – More complicated than expected – pilot demanded 3

months of massive support, > 1000 issues identified, not all could be corrected in final version

• Management did achieve (via SAP) more control (through definitions of standard processes)

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Phase 3: Fragmentation during roll-out

• Validation before local implementations: Lokal users involved in several regionale projects, ca. 100 participants in scandinavian project

• Fragmentation of the SAP solution – Different national regulation (accounting, tax, environmental impact)

– Different market models and business cultures

• From a uniform, joint system to a heterogeneous information infrastructure

– Customized for every division

• SAP now became the “ally” of the local divisions (resisting management’s standardization efforts)

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HAE’s emerging information infrastructure

• SAP installation in HAE had to be integrated with the other divisions (e.g. Oil and Gas)

• … and it had to be integrated with the underlying infrastructure and other applications – The “Hydro Bridge” standard

– Lotus Notes, spreadsheets

– Notes and web-based interfaces to SAP

• Result: not a neat, layered, but a complex, matrix formed information infrastructure

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Support services

Network, OS, PC’s

Desktop- applications

SAP

Lotus Notes user interface

Web-browsere

Lotus Notes database

Complex –further changes may be difficult: “SAP is like concrete, it is very flexible until it sets. Then there is nothing you can do to change it”

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Summing up the case: • From visions of shared, uniform system to a

complex, heterogeneous information infrastructure

• The II was “emergent” rather than designed and planned

• Chapter title: “Who is in control? Designers, Managers – or Technology?” – First – SAP is the ally of top management

– Then: the ally of the local divisions

– Then: blocks future changes – SAP “in control”?

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Naturally, managers and consultants tend to downplay challenges and emphasize achievements. But what about researchers? Do we need to «go deeper»?

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Alternative to control

• The «From Control to Drift» book contains cases with similar outcomes , showing the limitations (or even counter-productivity) of traditional managerial approaches (control-based)

• Alternatives to control:

– Cultivation of the installed base:

• Less control (the plant must grow)

• Less detached control, more involved «care»

• Selection based on proven results (learning process)

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Similar argument:

• Ole Hanseth and Claudio Ciborra:

• «Risk, Complexity and ICT»

• Focus: integration

– Solution or problem?

• Increased integration -> increased risk

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The second reading

• Ciborra, C.U (2004): “Encountering information systems as a phenomenon”

• A methodological argument: how to approach (study, understand, deal with) these phenomena?

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Some quotes:

• «Managers… lack the words to describe… the unexpeced consequences, serendipitous occurrences, and emergent, disappointing features of the new technological systems… A key reason for managers’ bafflement and uncertainty lies in the ungrounded expectations created by widely used managerial and consulting models… The vacuity and boastfulness of these promises should not fool anyone...The recommendation is: ‘more command and control’»

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Argument

• We need to think differently about IT than what managerial/consultant approaches advocate

• Phenomenology (Husserl, Heidegger):

– «go back to the basics and enounter the world as it presents itself in our everyday experiences»

– «rely on evidence, intuition, and empathy»

– In «the murly world of informal, worldly, and everyday modes of operations and practice, It is the realm of hacking, practical intelligence,…, the shortcut and the transgressions…»

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With a phenomenological lens we might see that:

• Technology tend to surprise us when it is put into use

– «drift» as metaphor

• Implementation requires ongoing work

– «care» as metaphor

• Technology doesn’t evolve according to rational implementation plans

– «cultivation» as metaphor (bricolage, improvisation)

• Technology comes with promises and threats

– «hospitality» as metaphor

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Other points in Ciborra (2000)

• Tensions/differences between:

– Formulation and implementation

– Espoused theory versus theory in use

– Single-loop learning or double-loop learning

– Management politics vs. politics of non-humans

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Challenging assumptions

Traditional managerial approach (Deming)

Double loop learning (Argyris)

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Why double loop?

Organisational complexity analytic processes not sufficient, exploration required Rapid technological change new affordances, new potentialities, constraints continuously relaxed Striking a balance between global and local – planned and emergent – short term and long term

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Recent Norwegian Cases

NAV: Large and long-term ICT projects: halted when the assumptions had to be adjusted Genap: Explorative building through a pragmatic approach (assumptions challenged) “One citizen – one record”: the challenges of making a project out of a vision

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Example: NAV

• Social insurance/benefits, social welfare,

employment (2006 merger)

• Administers 1/3 of national budget (<320 billion

NOK/year), 30 mill. transactions/year

• >19000 employees

• NAV ICT:

– Runs > 300 applications

– 425 employees

– + ca. 200 consultants

– ICT renewal projects

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NAV’s ICT renewal projects

• Projects: (2012 numbers)

– Arena: 225-300 mill. NOK (over six years)

– Infotrygd: 150-210 mill. NOK (over six years)

– New «vedtaksløsning»: 340-460 mill. NOK (over seven

years)

– Self service solution: 350-460 mill. NOK (over seven

years)

– Info-platform/resource- and production mng: 260-360

mill. (seven years)

– Agreement for customer side: 600-850 mill. NOK (over

six years)

• 15-20 years’ perspective (3,3 billion NOK)

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Some of the external parties that NAV systems communicate with

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Progress with ICT renewal:

• Work planned from 2010, initiated in 2012

• Project 1, 2 and 3

– Project 1: 1,75 bNOK allocated

– Spring 2013: Halted – to be «re-organized»

– Prioritized disability pension reform 1.1.15

– Estimated losses: 110-170 mill. NOK

• Increased overall costs ~ 1,5 bNOK (?)

• Parliament hearings

– November 28th 2014 and February 2nd 2015

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«in hindsight we see

that we were too

ambitious, and that we

did not realize the

complexity of

harmonizing the new

platform with the

existing solutions»

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• «National DNA sequencing data platform for

healthcare»

• Cross-disciplinary research project

• UiO and Oslo University Hospital

• Goals: Learn about/develop IT support for

«personalized medicine»

• From september 2011 until summer 2015

genAP

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”Strawman” architecture (Sept 2011)

(The system as initially imagined)

EXOM

base med

varians

filer

EXOM base

funksjonell

annotering

Klinisk

algoritme/

Ekspert

system

Gradert

tilgang

avhengig

av klinisk

spørsmål/

bruk og

tillatelser

Brukere PASIENTER

Pleietjeneste?

Allmennlege

Spesialister

•Pediater

•Nevrolog

•Etc

Spesial IT systemer

Ekspert/ Med.

genetiker

Tillatelse

til bruk fra

pasient

LOGG for

queries, bruker

og tillatelser

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Vision for «automated system»:

Genom-data

Hva er CYP3A5, CYP3A4 og POR?

CYP3A5 *1/*3 CYP3A4 *18/*1b POR *28/*28

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Help to design treatment

Genom-data

Hvordan doserer jeg Marevan for akkurat denne

pasienten?

Et øyeblikk Bzzbzz.. CYP2C9..bzzbzz..

VCORKC1

Bzzbzz.. CYP2C9*1..bzzbz

z..VCORKC1*3

A simple example

Almenpraktiker

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Assisted diagnostics

Genom-data

Er dette den arvelige formen

for kardio-myopati?

Et øyeblikk Bzzbzz.. MYH7..bzzbzz… TNNT2..TPM1…

Bzzbzz.. MYH7..bzzbzz… TNNT2..TPM1…

Hei! Den varianten har jeg aldri sett før!

Hjelp meg, Kjære genetiker!

Hm… stoppkodon midt i myomet, det kan umulig gå bra

Ok.

A more complicated example

Almenpraktiker

Genetiker

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Status for genAP

• Secure High-Performance Computing infrastructure at USIT (TSD)

– Secure computational storage

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USIT (UiO)

Tungregne-gruppa

TSD2: Tjeneste

Sensitive Data

Forsknings-

infrastruktur

for prosjekter

underlagt:

Helseforsknings-,

Bioteknologi-,

Helseregister-

eller Person-

opplysningsloven

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Status for genAP

• Secure High-Performance Computing infrastructure at USIT

– TSD - Secure computational storage

• Presentation of genetic information to clinicians:

– Prototype evaluated (Lærum m.fl., JAMIA 2014), (domain: pharmacogenetics)

• Improve the interpretation capacity in the lab

– Partial automatisation/better IT support in the interpretation process

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Sample loading

and QC

Frequency and

inheritance External databases

References

Pathogenicity

prediction

Final evaluation

and report

Matching against

in-house DB

Mapping of the interpretation prosess:

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Redesign of IT systems in use

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Gene Variant (HGVS) Norvariome ESP6500 1000G Contradictory information Filter out :

Select all

BRCA1 c.434A>C 0.0234 - - -

BRCA1 c.2311T>C - 0.0446 - -

Gene Variant (HGVS) Norvariome ESP6500 1000G Contradictory information Filter out :

Select all

BRCA1 c.873T>C - 0.0079 - -

BRCA1 c.1067A>G - 0.0053 - Warning: entry found in HGMD Pro

Details

for variant BRCA1 c.1067A>G

HGVS cDNA c.1067A>G

Observed genotype CA

HGMD Pro Disease-associated

polymorphism

Effect Missense

SIFT TOLERATED

MutationTaster Polymorphism

View raw

View all

View external record

genAP analysis workbench

VarDB Sample Options | Sign out | Help External DB Prediction References Report

Next Previous

Frequency

Neutral variants (>0.008)

Sample 000001A loaded | Gene panel: Breast and ovarial cancer v1.0

Probably neutral variants (0.001-0.008)

Only variants with frequency >0.008 are shown.

Filter

Mockup v0.1

Removes checked

variants from further

analysis, adds to report.

Pathogenicity

prediction tools

Extracting, adding

and scoring of

references

Report with all details,

suggested classification

and export tools

External

databases

In-house

database Sample loading

BIC ClinVar dbSNP HGMD Pro

SeqScape

Analysis workbench

Details for selected

variant.

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Updated overview of system (from Feb 2014)

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Scaling down of ambitions

• From an exclusive focus on HTS

– To building solutions for «old» sequencing technologies

• From a national scope

– to a regional scope

– to a hospital scope

– to a departmental scope

• From generic expert system

– To a system for specific ‘gene panels’ (for simple and well mapped areas, i.e. monogenic & dominant)

• From a ‘common infrastructure’ (or platform)

– To a support system for interpretation (improved production rate and quality)

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The emerging architecture:

• Bottom-up (from the concrete setting) and

shaped by what is possible to do:

– Who (clinicians) are interested to join?

– In what clinical domains are there low-hanging

fruits, with low risk and high gain?

• The HTS performance for that domain

• The knowledge about gene-disease relations

• The volume and ‘status’ of patients affected

– What do others (externals) do? And not do?

– What do project members want to do…etc.

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National strategy for health IT

• «One citizen – one record»

• Situation today:

– Each GP and hospital maintains separete patient records

– Limited digital communication (standardised messages and discharge reports exchanged, not full record information)

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The State Project Model

• Quality Assurance (external) for major public investment projects (above 750 mNOK)

– Checkpoints (of documentation quality)

– Conceptual appraisal (KVU)

– QA1 before Cabinet’s decision on the solution:

• QA of the choice of concept (KS1)

– QA 2 before Parliament’s approval of cost frame:

• QA of costs, estimation and cost control (KS2)

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(”The Cynefin framework”)

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