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Benchlearning in government reflections from eGEP experience and beyond Cristiano Codagnone Professo

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Professor, Milan State University. Consultant, RSO SPA. cristiano.codagnone_at_unimi.it ... 'eGEP was an EU-funded study on eGovernment impact, running from 2005 ... – PowerPoint PPT presentation

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Title: Benchlearning in government reflections from eGEP experience and beyond Cristiano Codagnone Professo


1
Bench-learning in government reflections
fromeGEP experience and beyondCristiano
Codagnone Professor, Milan State
UniversityConsultant, RSO SPAcristiano.codagnone
_at_unimi.itccodagnone_at_rso.it
The Impact of eGovernment in EuropeHelsinki
13 September 2006
2
"eGEP was an EU-funded study on eGovernment
impact, running from 2005-2006
(see
www.rso.it/egep )
3
Irreconcilable positions?
  • A single figure to benchmark several countries
    is
  • Reality distilled in manageable form for policy
    consumption
  • Apples and pears compared, context and processes
    overlooked, policy-learning and transfer
    obliterated
  • Bench-learning is bottom-up benchmarking
  • A learning process building transformative
    capacity

4
Hard facts, soft measurement?
  • 36.5 bln for ICT public administration
    expenditure in 2004
  • ICT could increase public administration
    productivity and boost EU25 GDP by up 1.54
    (2005-2010)
  • Beyond supply side benchmarking?
  • Yes, but data, feasibility, and comparability
    challenges

5
Private vs. public benchmarking
  • Private sector
  • Unit of analysis organisations
  • Voluntary and flexible tool, good data
    availability
  • Public sector national and international
  • Unit of analysis organisations, public policy,
    policy systems
  • Cooperation, comparability, feasibility
    challenges
  • From management tool to regulatory instrument

6
Impact measurement difficulty
7
Why Bench-learning?
  • For benchmarking only 10 eGEP indicators
  • The simplest and more comparable
  • Bench-learning 1
  • To focus on most sophisticated impact indicators
  • To build measurement capacities bottom up
  • Bench-learning 2
  • Opportunity to look at processes complexity
  • Identify enabling and hindering factors

8
Bench-learning bottom-up benchmarking
  • Bench-learning is
  • Voluntary, bottom up and learning oriented
  • Flexible, with no need of uniform rigid
    indicators
  • Gradually scalable from micro to meso and macro
  • Groups of similar organisations
  • Groups of similar verticals / regions
  • Groups of similar countries
  • Builds capacity for a portfolio of measurement
    tools
  • Variable benchmarking for horizontal policy
    learning
  • Traditional EU25 benchmarking
  • Micro/meso level measurement and benchmarking

9
Bench-learning Groups start simple
  • Micro level only single public organisations
  • 1 champion plus 3-4 learning organisations
  • Groups assembled from similar countries
  • Leverage existing collaboration networks
  • Two Options
  • Central agencies in same vertical (holistic)
  • Local governments in one area (functional)
  • Third party facilitators (EU contractors)
  • intense and in depth work

10
Ownership and governance
  • Voluntary participation
  • Participant self-interested in capacity building
    and learning
  • Clear mandate and leadership buy in
  • Groups to be assembled not by facilitator
  • Multi-stakeholders but firm governance
  • Exchange and consensus
  • But with clear lines of accountability

11
Four inspiring principles
  • Mainstream measurement
  • Know where you start from
  • Use multidimensional metrics
  • Dont just measure manage!

12
Mainstream Measurement
  • Measurement mainstreamed to strategy/policy
  • Not managed in isolation by an IT department
  • Measurement targets derived from objectives
  • Not from technicalities
  • Responding to law and policy directives can be a
    measurement target
  • Require qualitative metrics, possibly less
    comparable

13
Know where you start from
  • Define a baseline for each metric, i.e.
  • FTE cost of existing processes
  • Waiting times for constituency
  • No meaningful measurement without baseline
  • Processes and workflows analysis a must
  • Needed to define baseline for some metrics
  • Help identify key success factors or bottlenecks

14
Use multi-dimensional metrics
  • One-dimensional financial metrics inadequate to
    fully capture the public value ICT can deliver
  • Match metrics to objectives
  • Hard cash values
  • Opportunity values
  • Volume metrics
  • Qualitative metrics

15
Dont just measure manage!
  • Measurement not as one-shot exercise for
    investment decision
  • Use it through the lifecycle of the project
  • to keep costs down
  • to ensure that expected benefits are delivered
  • Measurement as pillar of strategic management
  • Not only for accountability but also for
  • strategic decision making and control, team
    motivation and risk management

16
Annex
  • Selected Bibliography on Benchmarking and the
    Open Method of Coordination

17
  • Arrowsmith, J., K. Sisson and P. Marginson
    (2004). What can benchmarking offer the open
    method of coordination?, Journal of European
    Public Policy, 11(2), pp. 311-328.
  • Borrás, S. and B. Greve (2004). Concluding
    remarks New method or just cheap talk?, Journal
    of European Public Policy, 11(2), pp. 329-336.
  • Borrás, S. and K. Jacobsson (2004). The open
    method of co-ordination and new governance
    patterns in the EU, Journal of European Public
    Policy, 11(2), pp. 185-208.
  • Bowerman, M., G. Francis, A. Ball, and J. Fry
    (2002). The evolution of benchmarking in UK local
    authorities, Benchmarking An International
    Journal, 9(5), pp. 429-449.
  • Cox, A. and I. Thompson (1998). On the
    Appropriateness of Benchmarking, Journal of
    General Management, 23(3), pp. 1-20.
  • Dattakumar, R. and R. Jagadeesh (2003). A review
    of literature on benchmarking, Benchmarking An
    International Journal, 10(3), pp. 176-209.
  • De la Porte, C. (2002). Is the Open Method of
    Coordination Appropriate for Organising
    Activities at European Level in Sensitive Policy
    Areas?, European Law Journal, 8(1), pp. 38-58.

18
  • De la Porte, C., Ph. Pochet and G. Room (2001).
    Social benchmarking, policy making and new
    governance in the EU, Journal of European Social
    Policy, 11(4), pp. 291-307.
  • Dolowitz, D.P. (2003). A Policy-makers Guide to
    Policy Transfer, The Political Quarterly, 74(1),
    pp. 101-108.
  • Dolowitz, D. and D. Marsh (2000). Learning from
    Abroad The Role of Policy Transfer in
    Contemporary Policy-Making, Governance, 13(1),
    pp. 5-24.
  • Dorsch, J.J. and M.M. Yasin (1998). A framework
    for benchmarking in the public sector. Literature
    review and directions for future research,
    International Journal of Public Sector
    Management, 11(2/3), pp. 91-115.
  • Kaiser, R. and H. Prange (2004). Managing
    diversity in a system of multi-level governance
    the open method of co-ordination in innovation
    policy, Journal of European Public Policy, 11(2),
    pp. 249-266.
  • Kastrinos, N. (2001). Contribution of
    socio-economic research to the benchmarking of
    RTD policies in Europe, Science and Public
    policy, 28(4), pp. 238-246.

19
  • Lundvall, B.-Å. and M. Tomlinson (2001).
    Learning-by-comparing reflections on the use and
    abuse of international benchmarking. In G.
    Sweeney (ed.), Innovation, Economic Progress and
    the Quality of Life, Cheltenham Edward Elgar,
    pp. 120-136.
  • Lundvall, B.-Å. and M. Tomlinson (2002).
    International benchmarking as a policy learning
    tool. In M.J. Rodrigues, The New Knowledge
    Economy in Europe. A Strategy for International
    Competitiveness and Social Cohesion, Cheltenham
    Edward Elgar, pp. 203-231.
  • Magd, H. and A. Curry (2003). Benchmarking
    achieving best value in public-sector
    organisations, Benchmarking An International
    Journal, 10(3), pp. 261-286..
  • Radaelli, C.M. (2003a). The Open Method of
    Coordination A new governance architecture for
    the European Union?, Report 20031, Stockholm
    Swedish Institute for European Policy Studies.
  • Room, G., Policy Benchmarking In The European
    Union Indicators and Ambiguities, in Policy
    Studies, Vol. 26, No 2, 2005, pp. 117-132
  • Schütz, H., S. Speckesser and G. Schmid (1998).
    Benchmarking Labour Market Performance and Labour
    Market Policies Theoretical Foundations and
    Applications, Discussion Paper FS I 98 205,
    Berlin Wissenschaftszentrum Berlin für
    Sozialforschung
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