The 2006 European eBusiness Readiness Index

1
The 2006 European e-Business Readiness Index

• William Castaings, Stefano Tarantola
• (Joint Research Centre)
• Ari Latvala
• (Directorate General for Enterprise and Industry)

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Outline

• Composite indicators components
• Survey of available data
• Selected results
• Evolution of index components
• Robustness analysis
• e-Business Readiness Dashboard

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Outline

• Composite indicators components
• Survey of available data
• Selected results
• Evolution of index components
• Robustness analysis
• e-Business Readiness Dashboard

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Components of the index
a1 - Use Internet a2 - Have web/home page a3 -
Using 2 security facilities a4 - of employees
using computer a5 - With broadband connection a
6 - With LAN
Adoption of ICT of enterprises
Composite indicators
Index components
b1 - Purchasing products/services via Internet
b2 - Receiving orders via Internet
b3 - With IT linked with other internal IT
b4 - With IT linked with external IT
b5 - Using Internet for banking
b6 - Selling prods via specialised market places
Use of ICT of enterprises
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Outline

• Composite indicators components
• Survey of available data
• Selected results
• Evolution of index components
• Robustness analysis
• e-Business Readiness Dashboard

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Survey of available data
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Outline

• Composite indicators components
• Survey of available data
• Selected results
• Evolution of index components
• Robustness analysis
• e-Business Readiness Dashboard

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Evolution of ICT Adoption vs. Use (2003-2005)
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ICT Adoption vs. Use (2005)
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EU25 Evolution of Adoption vs. Use (2004-2005)
Breakdown by NACE sectors
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Outline

• Composite indicators components
• Survey of available data
• Selected results
• Evolution of index components
• Robustness analysis
• e-Business Readiness Dashboard

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Components of the index
a1 - Use Internet a2 - Have web/home page a3 -
Using 2 security facilities a4 - of employees
using computer a5 - With broadband connection a
6 - With LAN
Adoption of ICT of enterprises
Composite indicators
Index components
b1 - Purchasing products/services via Internet
b2 - Receiving orders via Internet
b3 - With IT linked with other internal IT
b4 - With IT linked with external IT
b5 - Using Internet for banking
b6 - Selling prods via specialised market places
Use of ICT of enterprises
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Evolution of eigenvalues spectrum
Only participants to the 3 surveys are considered
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ICT Adoption
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ICT Use
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Outline

• Composite indicators components
• Survey of available data
• Selected results
• Evolution of index components
• Robustness analysis
• e-Business Readiness Dashboard

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Robustness analysis on ICT Adoption rankings
1400 realizations
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Robustness analysis on ICT Use rankings
1400 realizations
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• This study will be published as EU report
• The 2006 European e-Business Readiness Index
• William Castaings, Stefano Tarantola (Joint
  Research Centre)
  
• Ari Latvala (Directorate General for Enterprise
  and Industry)
  
• http//europa.eu.int/comm/enterprise/ict/index.htm

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• Recent methodological developments on
  construction and use of composite indicators
  
• Handbook on Constructing Composite Indicators
  Methodology and User GuideNardo, M. M. Saisana,
  A. Saltelli and S. Tarantola (EC/JRC), A. Hoffman
  and E. Giovannini (OECD), OECD Statistics Working
  Paper JT00188147, STD/DOC(2005)3.http//www.olis.
  oecd.org/olis/2005doc.nsf/LinkTo/std-doc(2005)3
• Information server on composite indicators
  http//farmweb.jrc.cec.eu.int/CI/

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Outline

• Composite indicators components
• Survey of available data
• Selected results
• Evolution of index components
• Robustness analysis
• e-Business Readiness Dashboard

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Construction, analysis and dissemination of CI
Dashboard Tool developed by Jochen Jesinghaus
(EC/JRC/IPSC/ESAF/STATIND)

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Thank you for your attention
Contact

• stefano.tarantola_at_jrc.it
• william.castaings_at_jrc.it

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• Additional slides

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Methodological approach
Uni Multivariate analysis
Correlation analysis Principal component analysis


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Methodological approach
Uni Multivariate analysis
Missing values imputation
Multiple regression
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Methodological approach
Uni Multivariate analysis
Missing values imputation
Check imputation consistency
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Methodological approach
Uni Multivariate analysis
Missing values imputation
Weighting and aggregation
Focus on budget allocation weights
(provided by eBSN experts)

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Methodological approach
Uni Multivariate analysis
Missing values imputation
Weighting and aggregation
Sensitivity and uncertainty analysis
Propagation of imputation and weighting scheme
uncertainty
Variance based sensitivity analysis
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Methodological approach
Uni Multivariate analysis
Missing values imputation
Weighting and aggregation
Sensitivity and uncertainty analysis
Visualization
Classical static figures, interactive exploration
(Dashboard, Java applets)
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Methodological approach
Uni Multivariate analysis
Missing values imputation
Weighting and aggregation
Sensitivity and uncertainty analysis
Visualization
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Imputation of missing values Multiple regression
cor(a4,a3) 0.88 cor(a4,a2) 0.81 cor(a4,a1) 0.
77
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Imputation of missing values Multiple regression
cor(b3,b4) 0.75 but the x is out of range
cor(b3,a4) 0.53
cor(b3,a3) 0.52
cor(b6,b2) 0.82 cor(b6,a3) 0.77 cor(b6,b1) 0.
77
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Evolution of eigenvalues spectrum
All countries are considered for each survey