Extracting Core ICT Indicators Using Entropy Method

  • Authors:
  • Payam Hanafizadeh;Mohammad Reza Hanafizadeh;Mohsen Khodabakhshi

  • Affiliations:
  • Department of Industrial Management, Allameh Tabataba'i University, Tehran, Iran;Department of Industrial Engineering, School of Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran;Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, Iran

  • Venue:
  • The Information Society
  • Year:
  • 2009

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Abstract

In this article a methodology is presented to extract indicators that appropriately measure the information society and the digital divide between countries and the relevant statistics that the majority of countries can collect. With the help of content analysis, the entropy method, and consideration of the diffusion aspects of digitalization, 37 reputable information society and digital divide models are analyzed to indentify “core information and communication technology (ICT) indicators.” To overcome the limitation of the nonexistence of data, the information and the knowledge embedded in information society and digital divide models are employed as proxies for experts' opinions for extracting the core ICT indicators. Comparison of the prior indicators and the proposed ones reveals that the former ignore three important dimensions: e-learning, e-government, and networked world enablers.