Journals / Doğuş Üniversitesi Dergisi / 2013 / Cilt: 14 - Sayı: 1

INTERNET USAGE EFFICIENCY ANALYSIS BETWEEN COUNTRIES IN EUROPE: A SIMAR AND WILSON APPROACH

AVRUPA BİRLİĞİ ÜLKELERİ ARASINDA İNTERNET KULLANIM ETKİNLİĞİ: SIMAR VE WILSON YAKLAŞIMI

Pages
65–72
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, linear programming based Data Envelopment Analysis which measures the relative internet usage efficiency scores of European Union member states, candidate states and states whose candidacy has officially been approved, has been used and estimates of efficiencies have been obtained by using Simar & Wilson approach

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Internet, the electronic communication network that connects worldwide computer networks and institutional computer systems, is an essential part of our lives today.
📊
Key Findings & Data:Internet, the electronic communication network that connects worldwide computer networks and institutional computer systems, is an essential part of our lives today.
💡
Conclusion & Impact:In this study, linear programming based Data Envelopment Analysis which measures the relative internet usage efficiency scores of European Union member states, candidate states and states whose candidacy has officially been approved, has been used and estimates of efficiencies have been obtained by using Simar & Wilson approach
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:İnternet · Veri Zarflama Analizi · Bootstrap

Abstract

Internet, the electronic communication network that connects worldwide computer networks and institutional computer systems, is an essential part of our lives today. In this study, linear programming based Data Envelopment Analysis which measures the relative internet usage efficiency scores of European Union member states, candidate states and states whose candidacy has officially been approved, has been used and estimates of efficiencies have been obtained by using Simar & Wilson approach

Özet

Dünya genelindeki bilgisayar ağlarını ve kurumsal bilgisayar sistemlerini birbirine bağlayan elektronik iletişim ağı olan İnternet, günümüzde hayatımızın vazgeçilemez bir parçasıdır. Bu çalışmada Avrupa Birliği’ne üye, üyeliğe aday ve adaylığı resmen kabul edilmiş ülkelerin internet kullanımlarının göreli etkinlik skorlarını ölçmeyi amaçlayan doğrusal programlama tabanlı Veri Zarflama Analizi’ne Simar ve Wilson yaklaşımı kullanılarak ülkelerin internet kullanım etkinliği tahminleri elde edilmiştir.

🔖

Cite This Article

GÜLEL, F. E. (2013). INTERNET USAGE EFFICIENCY ANALYSIS BETWEEN COUNTRIES IN EUROPE: A SIMAR AND WILSON APPROACH. Doğuş Üniversitesi Dergisi, Cilt: 14 - Sayı: 1, 65–72. https://ajindex.com/articles/127702

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. BANKER, R.D., CHARNES, A., COOPER, W.W., (1984). Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis. Management Science, 30 (9), 1078-1092.
  2. CAVE, M., HANNEY, S., KOGAN, M., TREVETT, G. (1988). The use of performance indicators in higher education: a critical analysis of developing practice. Jessica Kingsley Publishers,
  3. London. CHARNES A., COOPER, W.W., RHODES, W. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, Vol. 2, 429- 444. CURI, C., GITTO, S., MANCUSO, P. (2011). New evidence on the efficiency of Italian airports: A bootstrapped DEA analysis. Socio-Economic Planning Science, 45, 84–93.
  4. EFRON, B. (1979). Bootstrap methods: another look at the Jackknife. Ann Stat 7(1):1–26.
  5. EUROPA, The Official Website of The European Union, [Erişim adresi]:, [Erişim tarihi: 12.03.2011].
  6. FARREL, M.J. (1957). The measurement of productive efficiency. J. Royal Statistical Society, A(120), 253-281.
  7. GITTO, S., MANCUSO, P. (2012). Bootstrapping the Malmquist indexes for Italian airports. International Journal of Production Economics, 135, 403–411. GROMOV,G. (1998). Roads and crossroads of the internet history. [Erişim adresi]:, [Erişim tarihi: 01.11. 2012].
  8. HALKOS, G.E., TZEREMES, N. G. (2012). Industry performance evaluation with the use of financial ratios: an application of bootstrapped DEA. Expert System with Applications, 39, 5872–5880.
  9. HALKOS, G.E., TZEREMES, N.G. (2012). Analyzing the Greek renewable energy sector: a data envelopment analysis approach. Renewable and Sustainable Energy Reviews, 16, 2884-2893.
  10. INTERNET WORLD STATS. (2012). [Erişimadresi]: http://www. internetworldstats.com/stats.htm, [Erişim tarihi: 06.11.2012].
  11. KARAKOÇ, N. (2003). Yönetim ve Organizasyon (Ders Notları), Balıkesir. KNEIP, A., PARK, B., SIMAR, L. (1998). A note on convergence of nonparametric DEA efficiency measures. Econometric Theory, 14, 783-793. Merriam Webster's Dictionary & Thesaurus. (2008).
  12. NICOLA, D.A., GITTO, S., MANCUSO, P. (2012). Uncover the predictive structure of healthcare efficiency applying a bootstrapped Data Envelopment Analysis, Expert System with Applications, 39, 10495–10499.
  13. ODTÜBİDB.(2005). [Erişim adresi]: http://www.internetarsivi.metu.edu.tr/ tarihce.php, [Erişim tarihi: 12.03.2011].
  14. SIMAR, L., WILSON, P.W. (1998). Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Management Science, 44, 49-61.
  15. SIMAR, L., WILSON, P.W. (1999