Analytical approach using clusters’ hierarchy for e-government modelling

Abstract

E. government forecast and management became more complicated due to its close links with the two fields: information technology and public administration. As E. governance Project implementation involve more than one social group - scientists, business and public administration representatives, who have different interests, unequal values reflected to the processes assessment. Modeling the future of e. government it is need to assess the events of the factors influencing the system, their weight or importance and the level of technology. The article analyzes the hierarchical cluster analysis method used for the e. government development analysis expert assessment. The investigation of 26 factors influencing e. government was made using Expert methodology and Hierarchical cluster analysis discovered conflict between groups of experts. The models included assumptions to avoid errors in the measurement scales.