Empirically Analyzing the Necessity of EICMM Ranking by Clustering

Abstract

In this paper, the necessity of ranking of the enterprise’s informatization capacity maturity is researched on the basis of EICMM (Enterprise Informatization Capacity Maturity Model). Based on the EICMM, we adopt the proper method (Cluster Analytical Method) for the empirical research, commence from the evaluated index system, design the questionnaires and collect the related data of informatization, and handle and analyze the collated findings of the surveys and questionnaires by means of CABOSFV (Clustering Algorithm Based on Sparse Feature Vector) algorithm and explain the holds of the assumption of stratification and ranking of EICMM by resorting to the conclusion of such empirical analysis.