Advancing the state of the art in the modelling and simulation of information systems evaluation

It is widely accepted that Information Systems Evaluation (ISE) is a powerful and useful techniquethat can be used to assess IT/IS investments in an a-priori or a-posteriori sense. Traditionalapproaches to ISE have tended to centre upon financial and management accounting frameworks,seeking to reconcile tangible and intangible costs, benefits, risks and value factors. Such techniques,however, do not provide the IS researcher or practitioner with further insight or appreciation of anyinherent and implicit inter-relationships, in the investment justification process. Thus, this paperoutlines and discusses via a taxonomy and resulting classification, alternative and complementaryapproaches that can be applied to ISE from the fields of Artificial Intelligence (AI), OperationalResearch (OR) and Management Science (MS). The paper subsequently concludes that suchapproaches can be potentially used by researchers and practitioners in the field, as a basis forcarrying out further research in the field of applied ISE.