Maturity model has proven to be helpful for an organization to identify its current capability, strength, and weaknesses through maturity levels. These levels are used to rank the various dimension or process of an organization. However, maturity levels only describe a general description of organization capability. The effect of different maturity levels towards the organizational outcomes is speculated in the basis of the description at each maturity levels. The use of the maturity levels is limited in the pre-determined description. This research is an attempt to foresee the effect of different management maturity towards asset cost and performance by using Dynamic Bayesian Network. The network is developed by using a semi-hypothetical case on grass revetment management. The network models the maintenance process which covers the asset degradation and the influence of different extent of management towards grass condition in time. The degradation probability was determined by using Cooke’s classical model expert judgment. We designed different network involving four management dimension that was translated as model scenarios. The result provides an insight into the potential gain or loss of different management maturity which is beneficial for organizations in evaluating different alternatives of management improvement.

Maturity model is widely known as an assessment tool to understand an organization management capabilities and identifying potential improvement. The model demonstrates informative results towards the organization management maturity but hard to acknowledge the influence of potential improvement towards the organization’s asset performance. There have not yet been a study on measuring the asset performance conditional of the organization management maturity. This research objective is to develop an approach to translates maturity model to an asset lifecycle cost and performance by using Dynamic Bayesian Network (DBN). This research uses semi-hypothetical case to see how the model might unfold and to learn the possibility of maturity model development. The chosen hypothetical case is the organizational decision-making process of grass revetment maintenance during winter season based on information management maturity. The output of the DBN is the expected annual cost of the asset for a grass revetment maintenance conditional to organization information management maturity. The result is analyzed by using Value of Information (VOI) which enables us to understand the influence of information management maturity towards the asset lifecycle cost. This research has led us to the conclusion that it is feasible to associate asset lifecycle cost and performance with the organization information management maturity by translating the case into a DBN. In general, this research can potentially lead to a better application on the maturity model and might be used for the organization decision process. This study is the first step towards enhancing our understanding of maturity model application and its implication towards the asset performance.