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eEurope2002/03: Statistical Glance at e-Activities Assoc. Prof. dr. Nerut e Kligien e ,

ISSS / LORIS 2004 Conference Prague & Hradec Kralove. eEurope2002/03: Statistical Glance at e-Activities Assoc. Prof. dr. Nerut e Kligien e , Institute of Mathematics and Informatics , Vilnius Gediminas Technical University Vilnius, LITHUANIA, 200 4. PLAN OF THIS LECTURE. Introduction

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eEurope2002/03: Statistical Glance at e-Activities Assoc. Prof. dr. Nerut e Kligien e ,

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  1. ISSS / LORIS 2004 ConferencePrague & Hradec Kralove eEurope2002/03: Statistical Glance at e-Activities Assoc. Prof. dr. Nerute Kligiene, Institute of Mathematics and Informatics,Vilnius Gediminas Technical University Vilnius, LITHUANIA, 2004

  2. PLAN OF THIS LECTURE • Introduction • Objectives • Methodology used to derive data summaries • Description of Measuring NAS achievements in the EU15 context • Conclusions

  3. ØeEurope-plus: EU15+NAS10 (less advanced)creates a need to evaluate a real situation: SIBIS – IST 5FP project measuring and benchmarking Information Society Results – the arrays of percentages and data charts on 84 indicators, updated – 133 indicators Difficult to compare the results in separate areas, to see a position of any country or their groups; ØA general view of situation focused on EU –NAS differences is badly needed. INTRODUCTION

  4. Data Examples

  5. Data Chart’s Example

  6. BASIC ACCESS AND USAGE (10 indicators) INFORMATION SECURITY (8 indicators) eCOMMERCE (10 indicators) eWORK (14 indicators) eGOVERNMENT (10 indicators) eHEALTH (7 indicators) DIGITAL LITERACY (9 indicators) LEARNING AND TRAINING (4 indicators) DIGITAL DIVIDES (12 indicators) All together IS data covered by 84 indicators SIBIS INVESTIGATION AREAS

  7. OBJECTIVES The goals of this study are: (A) To visualize a situation in the areas defined by SIBIS to see a position of any separate country or countries’ groups in the context of EU and NAS results; (B) To develop a measure, expressing EU - NAS differences numerically;

  8. (C) To get at a glance a clear pictureof eEurope-plus in order to identify: The areas where the NAS are dramatically behind the EU; The topics in the enlarged EU where the IS development is not sufficient; The areas where the NAS countries have a readiness to reach the EU level. OBJECTIVES (continued)

  9. SOME BASIC FACTS AND NOTATIONS • EU15 European Union, 15 countries, plus US, CH • NAS10 Newly Accessing States, 10 countries • Sample – the percentages of population having a property investigated in some indicator in every of 27 countries: x1, …, xN. (N=500-1000 sample size per country). • Ordered countries sample: xmin, …, xmax • Median - avalue of an ordered countries sample in the middle of it, denote it Me • EU-15, NAS-10 the weighted averages of EU and NAS, provided by SIBIS, let D = EU-15 – NAS-10

  10. SOME BASIC FACTS AND NOTATIONS • Q1 – the first quartile – the value in the middle of the first half • Q3 – the third quartile – the value in the middle of the second half • IQR = Q3 – Q1– theinter-quartile range representing a spread of data under consideration • The Box Plot – a graphical display that simultaneously display Me, IQR, departure from symmetry • Let us consider the statistics Δ = D / IQR S = (D – λ) / [Var (D)]1/2

  11. Visualization of Lithuania’s Results in EU Context

  12. Visualization of Austria’s Results in EU Context

  13. Internet usage by intensity and by location are close to 10%, the concerns on information security matters are located around 20%, the middle values of e-mail and experience of Internet users are approaching 30%; Data spread (IQR) is largest in the e-mail usage and security concerns in online shopping, the smallest - in the Internet usage over 6 hrs/week intensity; Mobile technologies have a wide spread of data and are visibly different; Almost all indicators show departures from symmetry in data distributions; Lithuania’s results in many indicators is near the first quartile Q1 – fairly good results, while Austria – nearly Q3, shows much better results. Comments

  14. COMPARISON OF BALTIC COUNTRIES

  15. COMPARISON OF V4 COUNTRIES

  16. There is no discernible difference between V4 and Baltic countries groups in the considered indicators from the Basic access and usage/Information security areas; CZ is a leading country among the V4 countries (except concerns on security matters); LT and LV performed rather similarly in all considered indicators while EE has visibly outstanding results Comments

  17. Numerical Measures inthe Area ofBasic Access and Usage

  18. The Values of Δ for Indicators 6 - Intensity of online usage > 6h/week, 5 - Internet usage at work and at home 12 - Security concerns to e-shopping, 11 - Concerns online data security 4 - Internet users 2 and more years, 9 - E-mail users, all intensities 8 - SMS users, 8a - Personal mobile phones ownership

  19. LetΔ1, …, Δ k – are the values derived for each indicator (in the considered area) λ – the threshold value The DECISION RULE on the i-th indicator contribution in the area: if Δi< λ, the contribution is not significant, if Δi >λ, the contribution is significant; Let r values among k were significant, introduce MARK = 1 – r/k Measuring NAS Achievements in the EU15 Context(1)

  20. Evidently 0 < MARK < 1 Small MARK values mean small NAS achievements compared to EU15 If the value is approaching 1 – the NAS and EU15 achievements are comparable If the value is close to 0.5 – a middle NAS success discovered in that area. Each SIBIS area such as Basic Access, eWork, Digital Literacyand others acquire own MARK value. Measuring NAS Achievements in the EU15 Context (2)

  21. RESULTS IN SIBIS AREAS • The MARK values, derived for λ = 0.9, indicate: • Learning and Training, e-Health, Digital Literacyare the areas where NAS are clearly behind the EU, • E-Governmentis a topic where the NAS is closest to the EU level.

  22. Box Plot was applied to SIBIS data in order to see a position of any separate country in the context of enlarged EU and to see how the inclusion of 10 new NAS countries do affect the common results The measure MARK expressing EU-NAS differences numerically have been developed and applied to get a clear picture of eEurope-plus at a glance Notice, that in principle the results derived here have an “optimistic” trend, because the data of EU – GPS 2002 survey has to be compared with the NAS – GPS 2003. Conclusions

  23. THE CONTACT INFORMATION dr. Nerute Kligiene (IMI) Address for contacts nerute@ktl.mii.lt N. Kligiene, Institute of Mathematics and Informatics, A. Gostauto 12, LT- 01113, Vilnius, Lithuania. Phone: (370 5) 2660386, Fax: (370 5) 2619905 THANKS FOR YOUR ATTENTION !

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