@article {Zoukkari2014617, title = {E-readiness: A novel approach for indicators measurements estimation and prediction}, journal = {Journal of Theoretical and Applied Information Technology}, volume = {69}, number = {3}, year = {2014}, note = {cited By 0}, pages = {617-631}, abstract = {E-Readiness is an assessment process for the ICT (Information and Communication Technologies) availability and use in a country. It consists in the calculation of a composite indicator based on a conceptual framework related to ICT aspects. The assessment report is used in E-Strategy to formulate action plans for e-Readiness index development. Several approaches are used for e-Readiness since the end of nineties; these approaches lack flexibility and require frequent and precise measurements. Thus, two issues are addressed in this paper: the missing measurements estimation problem and the lack of e-Strategy formulation assistance and simulation tools and approaches. Indeed, we propose in this paper an approach to define the transition matrix of the e-Readiness state equation based on a layered model. This construction leads to a state model related to the e-Readiness dynamic system and then is used with KALMAN Filter to cover the two addressed issues. Indeed, the commands variables are indicators that can be manipulated by e-Strategy stakeholder and the KALMAN filter estimation and prediction functions are used as a simulator. For validation, we constructed a model based on the I2010 e-Readiness initiative and we tested the convergence of the model and its prediction function. Results are encouraging since the tested model prediction function converges in 24 cases out of 27 (89\%). {\textcopyright} 2005 - 2014 JATIT \& LLS. All rights reserved.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914147680\&partnerID=40\&md5=1dff7bf1d6cdfbb8714e6ace7d43746d}, author = {Zoukkari, N.B.a and Doukkali, A.b and Regragui, B.b} }