Haider, A.Koronios, A.P.Quirchmayr, G.2025-12-172025-12-172006Proceedings of the 1st World Congress on Engineering Asset Management, 2006, pp.288-3009781846285837https://hdl.handle.net/11541.2/113503Measuring the impact of implementation of information systems for asset management is a complex issue; due to the stochastic nature of process variables, substantial effects of information systems on the way users embrace these systems and consequently execute the business processes, and the high expectations that asset managing businesses associate with the use of information systems. This complexity can partly be attributed to the technology push strategy, rather than technology pull strategy, that asset managing businesses adopt to introduce information systems in to the business. Therefore, in order to take optimum advantage of information systems with regards to process efficiency, effective control, and management, it is important to have effective measurement mechanisms that help managers to measure Information systems utilisation for asset management process. This paper presents a measurement framework that assesses the impact of information systems at each stage of asset lifecycle management. The proposed framework based on generative learning, such that it examines the interpretation of asset management strategy through the use of information systems within the business and its assessment provides for strategic indicators for recalibration of asset management strategy as well as highlights the roadmap for future technology investments. This assessment allows for asset management processes and their stakeholders to adopt a technology pull strategy, which provides the strategic fit between processes and technology; thereby allowing the business to leverage optimum advantage of technology through rationalized investments.enCopyright Springer 2006Asset MaintenanceAsset ManagementInformation SystemsPerformance EvaluationConference paper10.1007/978-1-84628-814-2_32