A QUANTITATIVE ASSESSMENT MODEL FOR ICT SYSTEM SOLUTION SELECTION WITH BAYESIAN NETWORK FOR ENTERPRISE ARCHITECTURE DECISIONS

Abstract

Purpose- This research proposes a quantitative assessment model for ICT System Solution Selection.Methodology- For large Enterprise Organizations, ICT Projects may have two alternative solutions such as centralized or distributed ICT Systems. For evaluating these options with Enteprise Architecture principles and frameworks and also bringing expert knowledge in decision support, “Quantitative Assessment Model Survey for IT Solution Selection” study is conducted among ICT professionals of various industrial sectors. To build the model for centralized or distributed ICT system solutions, the influential relations between the surveyed EA components and principles are identified with Structural Learning of Bayesian Network to make the relations of the important EA elements visible and quantifiable.Findings- Using data from our survey, adaptable quantitative model which enables a Bayesian network across organized EA components is developed.Conclusion- The study shows relationships between EA components with experts’ feedbacks which may help practitioners and decision makers to reach a common model for ICT solution evaluation.